From 16c34e0e434eb94f7762756601eb4eed358502f2 Mon Sep 17 00:00:00 2001
From: michalharakal <michal.harakal@googlemail.com>
Date: Tue, 13 Oct 2026 20:45:43 +0200
Subject: [PATCH 1/4] feat(SemanticEmojiFilter): embedding filter with a Laya
 decision verifier
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
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New example: a Compose Multiplatform app (Android, Desktop, Web) that ranks 208
emoji by the meaning of a typed query with on-device sentence embeddings, and an
opt-in second stage on Desktop/Android where the Laya decision model re-checks
the top hits through sk.ainet.decisions.

System 1: MongoDB LEAF (mdbr-leaf-ir, Apache-2.0) on the SKaiNET-transformers
BERT runtime — engine WordPiece tokenizer, mean pooling, 2_Dense projection to
768-d, L2; the query carries LEAF's retrieval prompt. Catalog embeddings are
computed once (shipped precomputed for wasm); the sweep is a dot product.
Calibrated logistic confidence (balanced fit, F1-optimal threshold), top tier
capped at 12. Debounced 120 ms, mapLatest.

System 2 (-PlayaVerifier=true, transformers 0.59.0 / 0.59.0-SNAPSHOT from
mavenLocal): one BooleanProbability question per candidate, one request per
item so every decision is a cancellation point, verdicts stream into the badges,
"?" for an abstention. Policy: reject below 0.2, accept from 0.6 (the base
checkpoint is conservative). The model source is one interface
(DecisionAdapterSource) a decision cartridge can replace later.

Catalog from CLDR 47 annotations (en + de) via scripts/generate-catalog.py and
a curated selection; LEAF fetched by scripts/fetch-model.sh into the wasm
Compose resources only. CLI: bench | embed-catalog | calibrate | golden | query
| tokens | verify. Measured numbers in the README. Tests: shared 11 (jvm +
Android host), verifier 2. CI workflow mirrors KernelRace. No iOS (bert, laya
and decisions publish no Apple targets).
---
 .github/workflows/semanticemojifilter-ci.yml  |   63 +
 README.md                                     |   15 +
 SemanticEmojiFilter/.gitignore                |    6 +
 SemanticEmojiFilter/.java-version             |    1 +
 SemanticEmojiFilter/README.md                 |  186 +
 .../THIRD_PARTY_LICENSES/Apache-2.0.txt       |  202 +
 .../MIT-coi-serviceworker.txt                 |   21 +
 .../THIRD_PARTY_LICENSES/NOTICE               |   21 +
 .../THIRD_PARTY_LICENSES/Unicode-3.0.txt      |   39 +
 .../androidApp/build.gradle.kts               |   67 +
 .../androidApp/src/main/AndroidManifest.xml   |   24 +
 .../kotlin/sk/ainet/samples/emoji/EmojiApp.kt |   17 +
 .../sk/ainet/samples/emoji/MainActivity.kt    |   34 +
 SemanticEmojiFilter/build.gradle.kts          |    9 +
 SemanticEmojiFilter/cli/build.gradle.kts      |   40 +
 .../kotlin/sk/ainet/samples/emoji/cli/Main.kt |  256 +
 .../sk/ainet/samples/emoji/cli/Verify.kt      |    9 +
 .../sk/ainet/samples/emoji/cli/Verify.kt      |   34 +
 .../composeApp/build.gradle.kts               |  135 +
 .../sk/ainet/samples/emoji/VerifierFactory.kt |    8 +
 .../sk/ainet/samples/emoji/VerifierFactory.kt |   22 +
 .../files/catalog/calibration-queries.json    |  293 +
 .../files/catalog/calibration.json            |    8 +
 .../files/catalog/catalog-embeddings.bin      |  Bin 0 -> 638976 bytes
 .../files/catalog/catalog.json                | 5517 +++++++++++++++++
 .../files/catalog/golden-queries.json         |    1 +
 .../kotlin/sk/ainet/samples/emoji/App.kt      |   13 +
 .../sk/ainet/samples/emoji/BuildInfo.kt       |    5 +
 .../ainet/samples/emoji/CatalogResources.kt   |   32 +
 .../ainet/samples/emoji/ui/DiagnosticsRow.kt  |   49 +
 .../sk/ainet/samples/emoji/ui/EmojiGrid.kt    |  117 +
 .../ainet/samples/emoji/ui/PlatformChips.kt   |   22 +
 .../sk/ainet/samples/emoji/ui/SearchScreen.kt |   99 +
 .../kotlin/sk/ainet/samples/emoji/main.kt     |   28 +
 .../sk/ainet/samples/emoji/VerifierFactory.kt |    7 +
 .../sk/ainet/samples/emoji/VerifierFactory.kt |    8 +
 .../kotlin/sk/ainet/samples/emoji/main.kt     |   45 +
 .../src/wasmJsMain/resources/app.html         |   19 +
 .../wasmJsMain/resources/coi-serviceworker.js |  146 +
 .../src/wasmJsMain/resources/index.html       |  222 +
 .../src/wasmJsMain/resources/logo.png         |  Bin 0 -> 213270 bytes
 .../src/wasmJsMain/resources/styles.css       |    7 +
 SemanticEmojiFilter/gradle.properties         |   12 +
 SemanticEmojiFilter/gradle/libs.versions.toml |   67 +
 .../gradle/wrapper/gradle-wrapper.properties  |    7 +
 SemanticEmojiFilter/gradlew                   |  248 +
 SemanticEmojiFilter/gradlew.bat               |   93 +
 .../scripts/catalog-selection.json            | 1580 +++++
 SemanticEmojiFilter/scripts/fetch-model.sh    |   55 +
 .../scripts/generate-catalog.py               |  108 +
 SemanticEmojiFilter/settings.gradle.kts       |   47 +
 SemanticEmojiFilter/shared/build.gradle.kts   |   91 +
 .../emoji/model/AndroidLeafProvider.kt        |   21 +
 .../emoji/platform/Platform.android.kt        |   21 +
 .../ainet/samples/emoji/domain/Calibration.kt |  103 +
 .../sk/ainet/samples/emoji/domain/Catalog.kt  |   58 +
 .../sk/ainet/samples/emoji/domain/Ranking.kt  |   14 +
 .../engine/ByteArrayRandomAccessSource.kt     |   25 +
 .../samples/emoji/engine/CatalogIndex.kt      |  107 +
 .../samples/emoji/engine/EmbeddingEngine.kt   |  122 +
 .../ainet/samples/emoji/engine/LeafFiles.kt   |   49 +
 .../ainet/samples/emoji/model/LeafProvider.kt |   30 +
 .../ainet/samples/emoji/platform/Platform.kt  |   36 +
 .../sk/ainet/samples/emoji/verify/Verifier.kt |   42 +
 .../samples/emoji/vm/EmojiSearchViewModel.kt  |  163 +
 .../samples/emoji/domain/CalibrationTest.kt   |   36 +
 .../samples/emoji/engine/CatalogIndexTest.kt  |   56 +
 .../emoji/vm/EmojiSearchViewModelTest.kt      |  107 +
 .../samples/emoji/model/LeafDownloads.kt      |   68 +
 .../emoji/model/DesktopLeafProvider.kt        |   23 +
 .../samples/emoji/platform/Platform.jvm.kt    |   16 +
 .../ainet/samples/emoji/CatalogSchemaTest.kt  |   48 +
 .../samples/emoji/EmbeddingParityTest.kt      |   55 +
 .../ainet/samples/emoji/RankingGoldenTest.kt  |   53 +
 .../samples/emoji/platform/Platform.wasmJs.kt |   11 +
 SemanticEmojiFilter/verifier/build.gradle.kts |   52 +
 .../emoji/verifier/LayaAgentLoader.android.kt |   46 +
 .../emoji/verifier/DecisionAdapterSource.kt   |   16 +
 .../emoji/verifier/EmojiMatchSchema.kt        |   46 +
 .../samples/emoji/verifier/LayaAgentLoader.kt |    8 +
 .../samples/emoji/verifier/LayaCheckpoint.kt  |   23 +
 .../samples/emoji/verifier/LayaVerifier.kt    |  114 +
 .../emoji/verifier/LayaVerifierTest.kt        |   94 +
 .../samples/emoji/verifier/LayaFileSource.kt  |   79 +
 .../emoji/verifier/LayaAgentLoader.jvm.kt     |   19 +
 SemanticEmojiFilter/webapp.json               |   14 +
 86 files changed, 11930 insertions(+)
 create mode 100644 .github/workflows/semanticemojifilter-ci.yml
 create mode 100644 SemanticEmojiFilter/.gitignore
 create mode 100644 SemanticEmojiFilter/.java-version
 create mode 100644 SemanticEmojiFilter/README.md
 create mode 100644 SemanticEmojiFilter/THIRD_PARTY_LICENSES/Apache-2.0.txt
 create mode 100644 SemanticEmojiFilter/THIRD_PARTY_LICENSES/MIT-coi-serviceworker.txt
 create mode 100644 SemanticEmojiFilter/THIRD_PARTY_LICENSES/NOTICE
 create mode 100644 SemanticEmojiFilter/THIRD_PARTY_LICENSES/Unicode-3.0.txt
 create mode 100644 SemanticEmojiFilter/androidApp/build.gradle.kts
 create mode 100644 SemanticEmojiFilter/androidApp/src/main/AndroidManifest.xml
 create mode 100644 SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/EmojiApp.kt
 create mode 100644 SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/MainActivity.kt
 create mode 100644 SemanticEmojiFilter/build.gradle.kts
 create mode 100644 SemanticEmojiFilter/cli/build.gradle.kts
 create mode 100644 SemanticEmojiFilter/cli/src/main/kotlin/sk/ainet/samples/emoji/cli/Main.kt
 create mode 100644 SemanticEmojiFilter/cli/src/noVerifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt
 create mode 100644 SemanticEmojiFilter/cli/src/verifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt
 create mode 100644 SemanticEmojiFilter/composeApp/build.gradle.kts
 create mode 100644 SemanticEmojiFilter/composeApp/src/androidNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/androidVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration-queries.json
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration.json
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog-embeddings.bin
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog.json
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/golden-queries.json
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/App.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/CatalogResources.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/DiagnosticsRow.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/EmojiGrid.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/PlatformChips.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/SearchScreen.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/jvmMain/kotlin/sk/ainet/samples/emoji/main.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/jvmNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/jvmVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/main.kt
 create mode 100644 SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/app.html
 create mode 100644 SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/coi-serviceworker.js
 create mode 100644 SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/index.html
 create mode 100644 SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/logo.png
 create mode 100644 SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/styles.css
 create mode 100644 SemanticEmojiFilter/gradle.properties
 create mode 100644 SemanticEmojiFilter/gradle/libs.versions.toml
 create mode 100644 SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.properties
 create mode 100755 SemanticEmojiFilter/gradlew
 create mode 100644 SemanticEmojiFilter/gradlew.bat
 create mode 100644 SemanticEmojiFilter/scripts/catalog-selection.json
 create mode 100755 SemanticEmojiFilter/scripts/fetch-model.sh
 create mode 100644 SemanticEmojiFilter/scripts/generate-catalog.py
 create mode 100644 SemanticEmojiFilter/settings.gradle.kts
 create mode 100644 SemanticEmojiFilter/shared/build.gradle.kts
 create mode 100644 SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/model/AndroidLeafProvider.kt
 create mode 100644 SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/platform/Platform.android.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Calibration.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Catalog.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Ranking.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/ByteArrayRandomAccessSource.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/CatalogIndex.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/EmbeddingEngine.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/LeafFiles.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/model/LeafProvider.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/platform/Platform.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/verify/Verifier.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModel.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/domain/CalibrationTest.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/engine/CatalogIndexTest.kt
 create mode 100644 SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModelTest.kt
 create mode 100644 SemanticEmojiFilter/shared/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/model/LeafDownloads.kt
 create mode 100644 SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/model/DesktopLeafProvider.kt
 create mode 100644 SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/platform/Platform.jvm.kt
 create mode 100644 SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/CatalogSchemaTest.kt
 create mode 100644 SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/EmbeddingParityTest.kt
 create mode 100644 SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/RankingGoldenTest.kt
 create mode 100644 SemanticEmojiFilter/shared/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/platform/Platform.wasmJs.kt
 create mode 100644 SemanticEmojiFilter/verifier/build.gradle.kts
 create mode 100644 SemanticEmojiFilter/verifier/src/androidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.android.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/DecisionAdapterSource.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/EmojiMatchSchema.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaCheckpoint.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifier.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/commonTest/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifierTest.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaFileSource.kt
 create mode 100644 SemanticEmojiFilter/verifier/src/jvmMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.jvm.kt
 create mode 100644 SemanticEmojiFilter/webapp.json

diff --git a/.github/workflows/semanticemojifilter-ci.yml b/.github/workflows/semanticemojifilter-ci.yml
new file mode 100644
index 0000000..0f17576
--- /dev/null
+++ b/.github/workflows/semanticemojifilter-ci.yml
@@ -0,0 +1,63 @@
+name: SemanticEmojiFilter CI
+
+on:
+  pull_request:
+    paths:
+      - "SemanticEmojiFilter/**"
+      - "skainet-ui/**"
+      - ".github/workflows/semanticemojifilter-ci.yml"
+  push:
+    branches:
+      - develop
+    paths:
+      - "SemanticEmojiFilter/**"
+      - "skainet-ui/**"
+      - ".github/workflows/semanticemojifilter-ci.yml"
+
+concurrency:
+  group: semanticemojifilter-ci-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  build-and-test:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repo
+        uses: actions/checkout@v4
+
+      - name: Set up JDK
+        uses: actions/setup-java@v4
+        with:
+          distribution: temurin
+          java-version: "21"
+
+      - name: Set up Gradle
+        uses: gradle/actions/setup-gradle@v4
+
+      - name: Make gradlew executable
+        run: chmod +x SemanticEmojiFilter/gradlew
+
+      # composeApp's Kotlin compile tasks depend on the bundled LEAF checkpoint (fetchModel — see
+      # composeApp/build.gradle.kts) even for a plain compile check, since Compose resource
+      # processing needs the files present. Cache them so only the first run per revision pays
+      # the ~92 MB download.
+      - name: Cache bundled LEAF checkpoint
+        uses: actions/cache@v4
+        with:
+          path: SemanticEmojiFilter/composeApp/src/wasmJsMain/composeResources/files/leaf
+          key: semanticemojifilter-leaf-4262131b
+
+      # Unit tests on JVM + Android (no device), the Android debug APK, and a wasm compile check.
+      # The Laya verifier module is not built here: it needs transformers 0.59.0 on Maven Central.
+      - name: Build and test
+        working-directory: SemanticEmojiFilter
+        run: |
+          ./gradlew \
+            :shared:jvmTest \
+            :shared:testAndroidHostTest \
+            :cli:compileKotlin \
+            :androidApp:assembleDebug \
+            :shared:compileKotlinWasmJs \
+            :composeApp:compileKotlinWasmJs \
+            --console=plain
diff --git a/README.md b/README.md
index 792bcd8..f5ebe21 100644
--- a/README.md
+++ b/README.md
@@ -80,6 +80,21 @@ falls back to without NEON hardware.
 
 ---
 
+### 🔎 Semantic Emoji Filter
+
+Type what you mean, get the emoji. Every keystroke is embedded on-device with the MongoDB LEAF
+retrieval encoder (23M parameters, BERT in the SKaiNET NN DSL) and ranked against a bilingual
+catalog of about 200 emoji; items above a calibrated threshold move up with a confidence badge.
+Desktop and Android add a second stage: the **Laya decision model** answers a typed yes/no
+question per candidate through `sk.ainet.decisions`, so 🍕 drops for "healthy things to eat"
+while 🥗 stays, and an unsure model says `?` instead of guessing.
+
+<img src="SemanticEmojiFilter/docs/screenshots/grid.png" alt="Semantic Emoji Filter — matches above the threshold with vector and Laya confidence" width="640" />
+
+📂 [`SemanticEmojiFilter/`](SemanticEmojiFilter/) · runs on Android · Desktop · Wasm
+
+---
+
 ### 💬 Kllama Demo
 
 A Qwen3 LLM **playground in the browser** — chat, completion, translation, tool
diff --git a/SemanticEmojiFilter/.gitignore b/SemanticEmojiFilter/.gitignore
new file mode 100644
index 0000000..e7752f8
--- /dev/null
+++ b/SemanticEmojiFilter/.gitignore
@@ -0,0 +1,6 @@
+.gradle/
+build/
+local.properties
+kotlin-js-store/
+# LEAF checkpoint for the web bundle — fetched by scripts/fetch-model.sh, never committed
+composeApp/src/wasmJsMain/composeResources/files/leaf/
diff --git a/SemanticEmojiFilter/.java-version b/SemanticEmojiFilter/.java-version
new file mode 100644
index 0000000..5f39e91
--- /dev/null
+++ b/SemanticEmojiFilter/.java-version
@@ -0,0 +1 @@
+21.0
diff --git a/SemanticEmojiFilter/README.md b/SemanticEmojiFilter/README.md
new file mode 100644
index 0000000..514ee45
--- /dev/null
+++ b/SemanticEmojiFilter/README.md
@@ -0,0 +1,186 @@
+# Semantic Emoji Filter
+
+Type what you mean, get the emoji. A Compose Multiplatform app (Android, Desktop, Web) that ranks
+a bilingual catalog of about 200 emoji by the meaning of a free-text query, on-device, with
+SKaiNET. Desktop and Android add a second stage in which a typed decision model re-checks the top
+hits, the part embeddings alone get wrong.
+
+## What it demonstrates
+
+**System 1: embedding filter, on every keystroke.** The query is encoded with the MongoDB LEAF
+retrieval encoder (`mdbr-leaf-ir`, 23M parameters, Apache-2.0) through the SKaiNET-transformers
+BERT runtime: WordPiece tokenizer from the engine, 6 encoder layers, mean pooling, the model's
+`2_Dense` projection to 768 dimensions, L2 normalisation. The catalog embeddings are computed once
+(or shipped precomputed for the web build), so a sweep is a dot product over 200 rows. Items whose
+calibrated confidence passes the threshold move to the top tier.
+
+**System 2: typed decisions, when the query settles.** Cosine similarity cannot do qualifiers:
+"healthy things to eat" ranks 🍕 near 🥗 because *food* dominates the vector. After the query has
+been stable for half a second, the top candidates go to the **Laya** decision model through the
+`sk.ainet.decisions` contract, one boolean question per item ("is this emoji a good answer to the
+search?"). The badge then shows both numbers, the vector confidence and Laya's probability; a
+candidate the model is unsure about shows `?` instead of a guess (policy: reject below 0.2,
+accept from 0.6). This stage is opt-in
+(`-PlayaVerifier=true`), Desktop and Android only, and visibly asynchronous: Laya is a 322M-parameter
+encoder run on the eager FP32 CPU path, several seconds per question on a laptop.
+
+**Honest numbers.** The diagnostics row shows the kernel tier, model load time and the live query
+latency; the CLI below produced the numbers in this README on the machine named there.
+
+## Run
+
+The LEAF checkpoint (92 MB) is downloaded on first run into `~/.skainet-examples/semantic-emoji-filter/leaf/`
+(desktop, CLI) or the app's files directory (Android); the web build bundles it. Set
+`LEAF_MODEL_DIR` to reuse an existing copy.
+
+### Desktop
+
+```bash
+./gradlew :composeApp:run
+# with the Laya verifier (needs SKaiNET-transformers 0.59.0; until then a local publish, see below)
+./gradlew -PlayaVerifier=true :composeApp:run
+```
+
+### Android
+
+```bash
+./gradlew :androidApp:installDebug
+./gradlew -PlayaVerifier=true :androidApp:installDebug   # verifier: needs a device that grants a 2 GB heap
+```
+
+### Web (Wasm)
+
+```bash
+./gradlew :composeApp:wasmJsBrowserDevelopmentRun      # fetches the checkpoint into composeResources first
+./gradlew :composeApp:wasmJsBrowserDistribution        # what the examples site deploys
+```
+
+### CLI (measure, calibrate, regenerate)
+
+```bash
+./gradlew :cli:run --args="bench"                      # load, catalog, query latency, RSS
+./gradlew :cli:run --args="query healthy things to eat"
+./gradlew :cli:run --args="embed-catalog"              # writes catalog-embeddings.bin + digest
+./gradlew :cli:run --args="calibrate"                  # fits calibration.json on calibration-queries.json
+./gradlew :cli:run --args="golden"                     # records golden-queries.json for the ranking test
+```
+
+### The Laya verifier before transformers 0.59.0
+
+The typed-decision contract (`skainet-transformers-decisions-api`, `-decisions-runtime`) and the
+Laya adapter (`skainet-transformers-inference-laya`) are on the SKaiNET-transformers `develop`
+branch and ship with 0.59.0. Until that release is on Maven Central, publish `develop` locally and
+build with the flag:
+
+```bash
+cd ../../SKaiNET-transformers && ./gradlew -PVERSION_NAME=0.59.0-SNAPSHOT -PRELEASE_SIGNING_ENABLED=false publishToMavenLocal
+cd - && ./gradlew -PlayaVerifier=true :composeApp:run
+```
+
+The Laya checkpoint (644 MB, `convaiinnovations/laya` `multilingual/`) downloads on the first
+verification into `~/.skainet-examples/semantic-emoji-filter/laya-multilingual/` (`LAYA_MODEL_DIR`
+overrides).
+
+## Measured
+
+Laptop, 12 cores, JDK 21 with the Vector API (`Panama Vector (SIMD)` tier), SKaiNET 0.58.0,
+2026-10-13, `./gradlew :cli:run --args="bench"`:
+
+| | DIRECT (default) | OPTIMIZED (traced graph) |
+|---|---|---|
+| LEAF load (SafeTensors, 92 MB) | 345 ms | 352 ms |
+| catalog embedding, 208 items, once | 23.4 s (112 ms/item) | 45.2 s (217 ms/item) |
+| query embedding, p50 / p95 (20 queries × 5) | 81 ms / 98 ms | 106 ms / 123 ms |
+| cosine sweep over 208 × 768 | 0.28 ms | 0.26 ms |
+| RSS after the run | 512 MB | 960 MB |
+
+The query carries LEAF's retrieval prompt (`Represent this sentence for searching relevant passages: `),
+which triples the token count of a short query and costs about 40 ms per keystroke; without the
+prompt the ranking is useless (every cosine lands between 0.70 and 0.79 and 🍕 beats 🤒 for
+"feeling sick"). OPTIMIZED traces one graph per sequence length and buys nothing here, so DIRECT is
+the default. The catalog embedding is skipped when the shipped `catalog-embeddings.bin` matches the
+catalog digest; the web build always uses it.
+
+Calibration on 28 labelled English queries (151 positive pairs of 5 824): logistic fit
+`k = 22.1`, `x0 = 0.279`, F1-optimal threshold 0.8 (cosine 0.341), top tier capped at 12 items;
+training precision 0.60, recall 0.60. LEAF cosines are compressed (matches 0.30–0.40, the rest
+0.10–0.30), which is exactly why a second stage earns its place: for "healthy things to eat" the
+twelve items above the threshold include 🥬 🥗 🍎 🥒 🥕 🍅 and also 🥓 🥜 🍩 🍣.
+
+LEAF is an English retrieval encoder; German queries work through the German names in the catalog
+text but rank visibly worse, and were left out of the calibration. The Laya checkpoint is
+multilingual.
+
+**Laya verifier** (`./gradlew -PlayaVerifier=true :cli:run --args="verify ..."`, same laptop, eager
+FP32 CPU path, exact GELU): checkpoint load 9.0 s, 1.8–3.6 s per decision (first one slowest),
+RSS 4.8 GB.
+
+| query | candidate | P(match) | verdict |
+|---|---|---|---|
+| feeling sick | 🤢 🤮 🤒 🤧 | 0.94 · 0.95 · 0.95 · 0.85 | yes, yes, yes, yes |
+| healthy things to eat | 🥗 green salad | 0.34 | ? |
+| | 🥬 leafy green | 0.17 | no |
+| | 🍎 red apple · 🥓 bacon | 0.07 · 0.07 | no |
+| | 🥜 peanuts · 🍩 doughnut | 0.03 · 0.03 | no |
+
+The ordering is right (salad above leafy green above bacon above doughnut, under every wording
+tried), the absolute probabilities are conservative: the base checkpoint is a starting point its
+publisher expects to be specialised. The acceptance policy is therefore asymmetric, reject below
+0.2, accept from 0.6, so the salad shows as "unsure" and the doughnut as a clear no, and the apple
+is a wrong confident rejection the demo does not hide. Four wordings of the question were
+compared from the CLI (`verify --statement ... --no ... --yes ...`); the default has the widest
+spread between the right and the wrong answer.
+
+## Architecture
+
+```
+shared/     commonMain  domain/   Catalog, CatalogItem.embeddingText(), Calibration (logistic fit), RankedItem/Tier
+                        engine/   LeafEmbeddingEngine (BERT runtime + engine tokenizer), CatalogIndex (sweep, .bin),
+                                  ByteArrayRandomAccessSource (web), LeafFiles (pinned HF revision)
+                        model/    LeafProvider + LeafResolver (pure plan); jvmAndroidMain: streamed download
+                        verify/   Verifier API (Verdict, VerifierState, NoopVerifier) — no Laya dependency
+                        vm/       EmojiSearchViewModel: debounce 120 ms, mapLatest, stable-query trigger 500 ms
+            jvmMain / androidMain / wasmJsMain   platform actuals, checkpoint providers
+verifier/   jvm + android only   LayaVerifier (one request per item, cancellable between items, verdict cache),
+                                 EmojiMatchSchema (decisionSchema { probability(...); policy { boolean { abstainBetween(0.4, 0.6) } } }),
+                                 DecisionAdapterSource (the seam a decision cartridge replaces later), LayaFileSource
+composeApp/ Compose UI; src/{jvm,android}{Verifier,NoVerifier}/ pick the verifier at build time
+androidApp/ MainActivity, EmojiApp
+cli/        bench | embed-catalog | calibrate | golden | query | tokens
+scripts/    fetch-model.sh (LEAF, pinned revision), generate-catalog.py (CLDR -> catalog.json), catalog-selection.json
+```
+
+The ranking flow never waits for the verifier: verdicts stream into a separate state and are
+cleared when the query changes. The verifier sends one request per candidate rather than one
+request with many questions, because the Laya adapter runs one encoder pass per question either
+way and a per-item request gives a cancellation point every few seconds instead of one long call.
+
+## Catalog
+
+`catalog.json` is generated from Unicode CLDR 47 annotations (English and German names and
+keywords) for the emoji listed in `scripts/catalog-selection.json`; the `tags` and `group` fields
+are this example's own curation so the showcase queries (healthy food, feeling sick, rock band)
+have a defined answer set. The encoder never sees the tags: the text it embeds is
+`"<name>. <keywords>. <German name>"` (`CatalogItem.embeddingText()`), and the calibration is
+fitted on `calibration-queries.json`, 28 hand-labelled English queries. Regenerate with
+
+```bash
+python3 -I scripts/generate-catalog.py --cldr <dir with annotations_{en,de}.xml, annotationsDerived_{en,de}.xml> \
+    --selection scripts/catalog-selection.json --out composeApp/src/commonMain/composeResources/files/catalog/catalog.json
+./gradlew :cli:run --args="embed-catalog" && ./gradlew :cli:run --args="calibrate" && ./gradlew :cli:run --args="golden"
+```
+
+## Out of scope
+
+* **iOS**: the bert, laya and decisions modules of SKaiNET-transformers publish no Apple targets yet.
+* **A trained classifier head** over the embeddings (the PRD's "Mode B"); a follow-up example.
+* **Laya in the browser**: 644 MB of weights against a web page budget. The seam is there if a
+  smaller decision checkpoint appears.
+* **Cartridges**: the verifier loads the checkpoint through `DecisionAdapterSource`, one file;
+  a SKaiNET decision cartridge (task profile `decision/v1`, blueprint) replaces that source without
+  touching the UI or the view model once it exists.
+
+## Licenses
+
+MIT for this example. Third-party content and licenses: `THIRD_PARTY_LICENSES/NOTICE` (LEAF and
+Laya under Apache-2.0, CLDR under the Unicode License v3).
diff --git a/SemanticEmojiFilter/THIRD_PARTY_LICENSES/Apache-2.0.txt b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/Apache-2.0.txt
new file mode 100644
index 0000000..d645695
--- /dev/null
+++ b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/Apache-2.0.txt
@@ -0,0 +1,202 @@
+
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diff --git a/SemanticEmojiFilter/THIRD_PARTY_LICENSES/MIT-coi-serviceworker.txt b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/MIT-coi-serviceworker.txt
new file mode 100644
index 0000000..4932a51
--- /dev/null
+++ b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/MIT-coi-serviceworker.txt
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 Guido Zuidhof
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/SemanticEmojiFilter/THIRD_PARTY_LICENSES/NOTICE b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/NOTICE
new file mode 100644
index 0000000..5a07f4e
--- /dev/null
+++ b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/NOTICE
@@ -0,0 +1,21 @@
+Third-party content used by the Semantic Emoji Filter example
+=============================================================
+
+MongoDB LEAF retrieval encoder (mdbr-leaf-ir)
+  https://huggingface.co/MongoDB/mdbr-leaf-ir  (revision 4262131b32c3182bd06e67e92ae69d7bd66e0c5c)
+  Copyright MongoDB, Inc. Licensed under the Apache License, Version 2.0 (Apache-2.0.txt).
+  Downloaded at build time (web) or first run (desktop, Android); not redistributed in this repository.
+
+Laya decision model, multilingual checkpoint
+  https://huggingface.co/convaiinnovations/laya  (revision 7b928d828b7b0e022f929d9bd2e44165aa270148)
+  Copyright Convai Innovations. Licensed under the Apache License, Version 2.0 (Apache-2.0.txt).
+  Downloaded on first use of the optional verifier (-PlayaVerifier=true); not redistributed.
+
+Unicode CLDR emoji annotations (release 47)
+  https://github.com/unicode-org/cldr  common/annotations/{en,de}.xml, common/annotationsDerived/{en,de}.xml
+  Copyright Unicode, Inc. Licensed under the Unicode License v3 (Unicode-3.0.txt).
+  The English and German emoji names and keywords in catalog/catalog.json are derived from these files
+  by scripts/generate-catalog.py; the tags and groups are this example's own curation.
+
+coi-serviceworker (web build)
+  https://github.com/gzuidhof/coi-serviceworker  MIT License, see the header of composeApp/src/wasmJsMain/resources/coi-serviceworker.js.
diff --git a/SemanticEmojiFilter/THIRD_PARTY_LICENSES/Unicode-3.0.txt b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/Unicode-3.0.txt
new file mode 100644
index 0000000..56da589
--- /dev/null
+++ b/SemanticEmojiFilter/THIRD_PARTY_LICENSES/Unicode-3.0.txt
@@ -0,0 +1,39 @@
+UNICODE LICENSE V3
+
+COPYRIGHT AND PERMISSION NOTICE
+
+Copyright © 1991-2026 Unicode, Inc.
+
+NOTICE TO USER: Carefully read the following legal agreement. BY
+DOWNLOADING, INSTALLING, COPYING OR OTHERWISE USING DATA FILES, AND/OR
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+
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+Files or Software, or (b) this copyright and permission notice appear in
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+
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+THIRD PARTY RIGHTS.
+
+IN NO EVENT SHALL THE COPYRIGHT HOLDER OR HOLDERS INCLUDED IN THIS NOTICE
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+
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diff --git a/SemanticEmojiFilter/androidApp/build.gradle.kts b/SemanticEmojiFilter/androidApp/build.gradle.kts
new file mode 100644
index 0000000..a9630e2
--- /dev/null
+++ b/SemanticEmojiFilter/androidApp/build.gradle.kts
@@ -0,0 +1,67 @@
+plugins {
+    alias(libs.plugins.androidApplication)
+    alias(libs.plugins.composeMultiplatform)
+    alias(libs.plugins.composeCompiler)
+}
+
+val layaVerifier = providers.gradleProperty("layaVerifier").orNull == "true"
+
+kotlin {
+    dependencies {
+        implementation(projects.composeApp)
+        implementation(projects.shared)
+        implementation(compose.runtime)
+        implementation(compose.foundation)
+        implementation(compose.material3)
+        implementation(compose.ui)
+        implementation(libs.compose.uiTooling)
+        implementation(libs.androidx.activity.compose)
+        implementation(libs.kotlinx.coroutines)
+        // Hand-written ARM NEON kernels — Android JNI only.
+        implementation(libs.skainet.backend.jni.cpu)
+    }
+
+    target {
+        compilerOptions {
+            jvmTarget.set(org.jetbrains.kotlin.gradle.dsl.JvmTarget.JVM_11)
+        }
+    }
+}
+
+android {
+    namespace = "sk.ainet.samples.emoji"
+    compileSdk = libs.versions.android.compileSdk.get().toInt()
+
+    defaultConfig {
+        applicationId = "sk.ainet.samples.emoji"
+        minSdk = libs.versions.android.minSdk.get().toInt()
+        targetSdk = libs.versions.android.targetSdk.get().toInt()
+        versionCode = 1
+        versionName = "1.0"
+        // ARM only — the JNI NEON kernels are what makes the encoder fast on a phone.
+        ndk { abiFilters += "arm64-v8a" }
+
+        // Shown in the diagnostics row — always matches the dependency in the catalog.
+        buildConfigField("String", "SKAINET_VERSION", "\"${libs.versions.skainet.asProvider().get()}\"")
+        buildConfigField("boolean", "VERIFIER_ENABLED", layaVerifier.toString())
+    }
+
+    buildFeatures {
+        compose = true
+        buildConfig = true
+    }
+    packaging {
+        resources {
+            excludes += "/META-INF/{AL2.0,LGPL2.1}"
+        }
+    }
+    buildTypes {
+        getByName("release") {
+            isMinifyEnabled = false
+        }
+    }
+    compileOptions {
+        sourceCompatibility = JavaVersion.VERSION_11
+        targetCompatibility = JavaVersion.VERSION_11
+    }
+}
diff --git a/SemanticEmojiFilter/androidApp/src/main/AndroidManifest.xml b/SemanticEmojiFilter/androidApp/src/main/AndroidManifest.xml
new file mode 100644
index 0000000..b837ef2
--- /dev/null
+++ b/SemanticEmojiFilter/androidApp/src/main/AndroidManifest.xml
@@ -0,0 +1,24 @@
+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android">
+
+    <!-- Internet only for the one-time checkpoint download from the Hugging Face Hub;
+         embedding and the optional decision model run fully on-device afterwards. -->
+    <uses-permission android:name="android.permission.INTERNET" />
+
+    <application
+        android:name=".EmojiApp"
+        android:label="SKaiNET Semantic Emoji Filter"
+        android:largeHeap="true"
+        android:theme="@android:style/Theme.Material.Light.NoActionBar">
+
+        <activity
+            android:name=".MainActivity"
+            android:exported="true"
+            android:resizeableActivity="true">
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN" />
+                <category android:name="android.intent.category.LAUNCHER" />
+            </intent-filter>
+        </activity>
+    </application>
+</manifest>
diff --git a/SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/EmojiApp.kt b/SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/EmojiApp.kt
new file mode 100644
index 0000000..56143ea
--- /dev/null
+++ b/SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/EmojiApp.kt
@@ -0,0 +1,17 @@
+package sk.ainet.samples.emoji
+
+import android.app.Application
+import sk.ainet.samples.emoji.engine.LeafEmbeddingEngine
+import sk.ainet.samples.emoji.model.AndroidLeafProvider
+import sk.ainet.samples.emoji.verify.Verifier
+
+/** Application-scoped factories: the checkpoint provider and the verifier live for the app lifetime. */
+class EmojiApp : Application() {
+    val leafProvider by lazy { AndroidLeafProvider(this) }
+    val verifier: Verifier by lazy { createVerifier(this) }
+
+    suspend fun loadEngine(onProgress: (String) -> Unit): LeafEmbeddingEngine {
+        val source = leafProvider.resolve(onProgress)
+        return LeafEmbeddingEngine.load(source, onProgress = onProgress)
+    }
+}
diff --git a/SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/MainActivity.kt b/SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/MainActivity.kt
new file mode 100644
index 0000000..d7a2d96
--- /dev/null
+++ b/SemanticEmojiFilter/androidApp/src/main/kotlin/sk/ainet/samples/emoji/MainActivity.kt
@@ -0,0 +1,34 @@
+package sk.ainet.samples.emoji
+
+import android.os.Bundle
+import androidx.activity.ComponentActivity
+import androidx.activity.compose.setContent
+import androidx.activity.viewModels
+import androidx.lifecycle.ViewModel
+import androidx.lifecycle.ViewModelProvider
+import kotlinx.coroutines.runBlocking
+import sk.ainet.samples.emoji.vm.EmojiSearchViewModel
+
+class MainActivity : ComponentActivity() {
+
+    private val app get() = applicationContext as EmojiApp
+
+    private val viewModel: EmojiSearchViewModel by viewModels {
+        object : ViewModelProvider.Factory {
+            @Suppress("UNCHECKED_CAST")
+            override fun <T : ViewModel> create(modelClass: Class<T>): T = EmojiSearchViewModel(
+                loadEngine = { onProgress -> app.loadEngine(onProgress) },
+                loadIndex = { engine, onProgress -> CatalogResources.index(CatalogResources.catalog(), engine, onProgress = onProgress) },
+                calibration = runBlocking { CatalogResources.calibration() },
+                verifier = app.verifier,
+            ) as T
+        }
+    }
+
+    override fun onCreate(savedInstanceState: Bundle?) {
+        super.onCreate(savedInstanceState)
+        setContent {
+            App(viewModel = viewModel, skainetVersion = BuildConfig.SKAINET_VERSION)
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/build.gradle.kts b/SemanticEmojiFilter/build.gradle.kts
new file mode 100644
index 0000000..25e833d
--- /dev/null
+++ b/SemanticEmojiFilter/build.gradle.kts
@@ -0,0 +1,9 @@
+plugins {
+    alias(libs.plugins.androidApplication) apply false
+    alias(libs.plugins.androidMultiplatformLibrary) apply false
+    alias(libs.plugins.kotlinMultiplatform) apply false
+    alias(libs.plugins.kotlinJvm) apply false
+    alias(libs.plugins.kotlinSerialization) apply false
+    alias(libs.plugins.composeMultiplatform) apply false
+    alias(libs.plugins.composeCompiler) apply false
+}
diff --git a/SemanticEmojiFilter/cli/build.gradle.kts b/SemanticEmojiFilter/cli/build.gradle.kts
new file mode 100644
index 0000000..9f22b49
--- /dev/null
+++ b/SemanticEmojiFilter/cli/build.gradle.kts
@@ -0,0 +1,40 @@
+plugins {
+    alias(libs.plugins.kotlinJvm)
+    alias(libs.plugins.kotlinSerialization)
+    application
+}
+
+val layaVerifier = providers.gradleProperty("layaVerifier").orNull == "true"
+
+kotlin {
+    jvmToolchain(21)
+}
+
+dependencies {
+    implementation(projects.shared)
+    implementation(libs.kotlinx.coroutines)
+    implementation(libs.kotlinx.serialization.json)
+    // Panama FFM kernels for the JVM.
+    implementation(libs.skainet.backend.api)
+    if (layaVerifier) implementation(project(":verifier"))
+
+    testImplementation(kotlin("test"))
+}
+
+// The CLI reads the same catalog files the apps bundle, so one copy stays the source of truth.
+// The `verify` command exists only when the verifier module is part of the build.
+sourceSets.main {
+    resources.srcDir("../composeApp/src/commonMain/composeResources/files")
+    kotlin.srcDir(if (layaVerifier) "src/verifier/kotlin" else "src/noVerifier/kotlin")
+}
+
+application {
+    mainClass.set("sk.ainet.samples.emoji.cli.MainKt")
+}
+
+tasks.withType<JavaExec>().configureEach {
+    jvmArgs("--enable-preview", "--add-modules", "jdk.incubator.vector", "-Dfile.encoding=UTF-8", "-Dstdout.encoding=UTF-8", "-Dstderr.encoding=UTF-8")
+    systemProperty("skainet.cpu.vector.enabled", "true")
+    maxHeapSize = if (layaVerifier) "6g" else "2g"
+    standardInput = System.`in`
+}
diff --git a/SemanticEmojiFilter/cli/src/main/kotlin/sk/ainet/samples/emoji/cli/Main.kt b/SemanticEmojiFilter/cli/src/main/kotlin/sk/ainet/samples/emoji/cli/Main.kt
new file mode 100644
index 0000000..d15ce29
--- /dev/null
+++ b/SemanticEmojiFilter/cli/src/main/kotlin/sk/ainet/samples/emoji/cli/Main.kt
@@ -0,0 +1,256 @@
+package sk.ainet.samples.emoji.cli
+
+import java.io.File
+import java.security.MessageDigest
+import kotlin.math.roundToLong
+import kotlin.time.TimeSource
+import kotlinx.coroutines.runBlocking
+import kotlinx.serialization.Serializable
+import kotlinx.serialization.json.Json
+import sk.ainet.models.bert.BertExecutionMode
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.domain.Catalog
+import sk.ainet.samples.emoji.domain.Tier
+import sk.ainet.samples.emoji.engine.CatalogIndex
+import sk.ainet.samples.emoji.engine.LeafSource
+import sk.ainet.samples.emoji.engine.LeafEmbeddingEngine
+import sk.ainet.samples.emoji.model.DesktopLeafProvider
+import sk.ainet.samples.emoji.model.defaultLeafCacheDir
+import sk.ainet.samples.emoji.platform.kernelTierLabel
+
+private const val USAGE = """
+Semantic Emoji Filter — JVM spike and tooling over the shared engine.
+
+  bench         [--model DIR] [--mode direct|optimized] [--repeats N]   load, catalog, query latency, RSS
+  embed-catalog [--model DIR]                                           write catalog-embeddings.bin + sha256
+  calibrate     [--model DIR] [--labels FILE]                            fit calibration.json on labelled queries
+  golden        [--model DIR]                                           write golden-queries.json for the ranking test
+  query         [--model DIR] "<text>"                                  print the top 10
+  verify        [--model DIR] [--top N] "<text>"                        Laya verdicts for the top N (needs -PlayaVerifier=true)
+
+Options: --catalog-dir DIR (default: ../composeApp/src/commonMain/composeResources/files/catalog)
+         --model DIR       (default: ${'$'}LEAF_MODEL_DIR or ~/.skainet-examples/semantic-emoji-filter/leaf;
+                            missing files are downloaded)
+"""
+
+private val BENCH_QUERIES = listOf(
+    "healthy things to eat", "junk food", "feeling sick", "rock band", "cute pets", "rainy weather",
+    "going on holiday", "team sports", "very happy", "working late at the office",
+    "gesundes Essen", "mir ist schlecht", "Rockkonzert", "Haustiere", "Urlaub am Meer",
+    "Geburtstagsfeier", "winter sports", "breakfast", "something sweet", "fruit",
+)
+
+fun main(args: Array<String>) {
+    if (args.isEmpty()) {
+        println(USAGE.trimIndent())
+        return
+    }
+    val opts = Options.parse(args.drop(1))
+    when (args[0]) {
+        "bench" -> bench(opts)
+        "embed-catalog" -> embedCatalog(opts)
+        "calibrate" -> calibrate(opts)
+        "golden" -> golden(opts)
+        "query" -> query(opts)
+        "tokens" -> tokens(opts)
+        "verify" -> verify(opts)
+        else -> {
+            System.err.println("unknown command '${args[0]}'")
+            println(USAGE.trimIndent())
+            System.exit(2)
+        }
+    }
+}
+
+private class Options(val flags: Map<String, String>, val positional: List<String>) {
+    val modelDir: String get() = flags["model"] ?: defaultLeafCacheDir()
+    val catalogDir: File get() = File(flags["catalog-dir"] ?: "../composeApp/src/commonMain/composeResources/files/catalog").canonicalFile
+    val mode: BertExecutionMode get() = if (flags["mode"] == "optimized") BertExecutionMode.OPTIMIZED else BertExecutionMode.DIRECT
+    val repeats: Int get() = flags["repeats"]?.toInt() ?: 5
+
+    companion object {
+        fun parse(args: List<String>): Options {
+            val flags = LinkedHashMap<String, String>()
+            val positional = ArrayList<String>()
+            var i = 0
+            while (i < args.size) {
+                val a = args[i]
+                if (a.startsWith("--") && i + 1 < args.size) {
+                    flags[a.removePrefix("--")] = args[i + 1]
+                    i += 2
+                } else {
+                    positional += a
+                    i++
+                }
+            }
+            return Options(flags, positional)
+        }
+    }
+}
+
+private fun loadCatalog(opts: Options): Catalog = Catalog.parse(File(opts.catalogDir, "catalog.json").readText())
+
+private fun loadEngine(opts: Options): LeafEmbeddingEngine = runBlocking {
+    val source = DesktopLeafProvider(opts.modelDir).resolve { System.err.println("[MODEL] $it") }
+    val engine = LeafEmbeddingEngine.load(source, mode = opts.mode) { System.err.println("[MODEL] $it") }
+    System.err.println("[MODEL] loaded ${(source as LeafSource.Directory).path} in ${engine.loadMillis} ms, ${engine.dimensions} dims, kernels: ${kernelTierLabel()}")
+    engine
+}
+
+private fun buildIndex(catalog: Catalog, engine: LeafEmbeddingEngine, log: Boolean = true): Pair<CatalogIndex, Long> {
+    val started = TimeSource.Monotonic.markNow()
+    val index = CatalogIndex.build(catalog.items, engine)
+    val ms = started.elapsedNow().inWholeMilliseconds
+    if (log) System.err.println("[INDEX] ${catalog.items.size} items embedded in $ms ms (${"%.1f".format(ms.toDouble() / catalog.items.size)} ms/item)")
+    return index to ms
+}
+
+private fun rssMb(): Long? = runCatching {
+    File("/proc/self/status").readLines().firstOrNull { it.startsWith("VmRSS:") }
+        ?.split(Regex("\\s+"))?.get(1)?.toLong()?.div(1024)
+}.getOrNull()
+
+private fun percentile(sorted: List<Long>, p: Double): Long = sorted[((sorted.size - 1) * p).roundToLong().toInt()]
+
+private fun bench(opts: Options) {
+    val catalog = loadCatalog(opts)
+    val engine = loadEngine(opts)
+    val (index, indexMs) = buildIndex(catalog, engine)
+    val calibration = loadCalibration(opts)
+
+    // Warm-up, then timed repeats per query.
+    BENCH_QUERIES.take(3).forEach { engine.embedQuery(it) }
+    val embedTimes = ArrayList<Long>()
+    val sweepTimes = ArrayList<Long>()
+    repeat(opts.repeats) {
+        for (q in BENCH_QUERIES) {
+            val t0 = System.nanoTime()
+            val v = engine.embedQuery(q)
+            val t1 = System.nanoTime()
+            index.rank(v, calibration)
+            val t2 = System.nanoTime()
+            embedTimes += (t1 - t0) / 1_000_000
+            sweepTimes += (t2 - t1) / 1_000
+        }
+    }
+    val e = embedTimes.sorted()
+    val s = sweepTimes.sorted()
+    println("mode=${opts.mode} kernels=${kernelTierLabel()} cores=${Runtime.getRuntime().availableProcessors()}")
+    println("model load:        ${engine.loadMillis} ms")
+    println("catalog embed:     $indexMs ms for ${catalog.items.size} items (${"%.1f".format(indexMs.toDouble() / catalog.items.size)} ms/item)")
+    println("query embed:       p50 ${percentile(e, 0.5)} ms, p95 ${percentile(e, 0.95)} ms, max ${e.last()} ms (${e.size} runs, ${BENCH_QUERIES.size} queries x ${opts.repeats})")
+    println("cosine sweep:      p50 ${percentile(s, 0.5)} us, p95 ${percentile(s, 0.95)} us")
+    println("RSS:               ${rssMb()?.let { "$it MB" } ?: "n/a"}")
+    println()
+    for (q in listOf("healthy things to eat", "feeling sick", "rock band")) {
+        val top = index.rank(engine.embedQuery(q), calibration).take(8)
+        println("$q -> " + top.joinToString(" ") { "${it.item.emoji}${"%.2f".format(it.cosine)}" })
+    }
+}
+
+private fun embedCatalog(opts: Options) {
+    val catalog = loadCatalog(opts)
+    val engine = loadEngine(opts)
+    val (index, _) = buildIndex(catalog, engine)
+    val bytes = index.toBytes()
+    val out = File(opts.catalogDir, "catalog-embeddings.bin")
+    out.writeBytes(bytes)
+    val sha = MessageDigest.getInstance("SHA-256").digest(bytes).joinToString("") { "%02x".format(it) }
+    val updated = catalog.copy(embeddingsSha256 = sha)
+    File(opts.catalogDir, "catalog.json").writeText(Catalog.encode(updated) + "\n")
+    println("wrote ${out.path} (${bytes.size} bytes, ${index.dimensions} dims), sha256 $sha recorded in catalog.json")
+}
+
+@Serializable
+private data class LabelledQuery(val query: String, val matches: List<String>)
+
+private fun loadCalibration(opts: Options): Calibration =
+    File(opts.catalogDir, "calibration.json").takeIf { it.isFile }?.let { Calibration.parse(it.readText()) } ?: Calibration.DEFAULT
+
+private fun calibrate(opts: Options) {
+    val catalog = loadCatalog(opts)
+    val labelsFile = File(opts.flags["labels"] ?: File(opts.catalogDir, "calibration-queries.json").path)
+    val labels = Json { ignoreUnknownKeys = true }.decodeFromString<List<LabelledQuery>>(labelsFile.readText())
+    val engine = loadEngine(opts)
+    val (index, _) = buildIndex(catalog, engine)
+    val samples = ArrayList<Pair<Double, Boolean>>()
+    val unknown = labels.flatMap { it.matches }.filter { catalog.item(it) == null }
+    require(unknown.isEmpty()) { "labels name unknown ids: $unknown" }
+    for (label in labels) {
+        val cos = index.cosines(engine.embedQuery(label.query))
+        catalog.items.forEachIndexed { i, item -> samples += cos[i].toDouble() to (item.id in label.matches) }
+    }
+    val fitted = Calibration.fit(samples).copy(queries = labels.size)
+    var tp = 0; var fp = 0; var fn = 0
+    for ((x, y) in samples) {
+        val predicted = fitted.isTop(x)
+        if (predicted && y) tp++ else if (predicted && !y) fp++ else if (!predicted && y) fn++
+    }
+    val precision = if (tp + fp == 0) 0.0 else tp.toDouble() / (tp + fp)
+    val recall = if (tp + fn == 0) 0.0 else tp.toDouble() / (tp + fn)
+    File(opts.catalogDir, "calibration.json").writeText(Calibration.encode(fitted) + "\n")
+    println("k=${"%.3f".format(fitted.k)} x0=${"%.4f".format(fitted.x0)} threshold=${fitted.threshold} (cosine ${"%.3f".format(fitted.cosineAtThreshold)}), top tier capped at ${fitted.maxTop}")
+    val f1 = if (precision + recall == 0.0) 0.0 else 2 * precision * recall / (precision + recall)
+    println("${labels.size} queries, ${samples.count { it.second }} positives of ${samples.size}; accuracy ${"%.3f".format(fitted.accuracy)}, precision ${"%.2f".format(precision)}, recall ${"%.2f".format(recall)}, F1 ${"%.2f".format(f1)}")
+}
+
+@Serializable
+private data class GoldenQuery(val query: String, val vector: List<Float>, val expectedTop: List<String>)
+
+private fun golden(opts: Options) {
+    val catalog = loadCatalog(opts)
+    val engine = loadEngine(opts)
+    val (index, _) = buildIndex(catalog, engine)
+    val calibration = loadCalibration(opts)
+    val goldens = listOf("healthy things to eat", "feeling sick", "rock band", "cute pets", "beach holiday").map { q ->
+        val v = engine.embedQuery(q)
+        GoldenQuery(q, v.toList(), index.rank(v, calibration).take(3).map { it.item.id })
+    }
+    val out = File(opts.catalogDir, "golden-queries.json")
+    out.writeText(Json.encodeToString(goldens) + "\n")
+    println("wrote ${out.path}: " + goldens.joinToString("; ") { g -> "${g.query} -> ${g.expectedTop.joinToString(",") { catalog.item(it)!!.emoji }}" })
+}
+
+/** System 2 on the CLI: embed, rank, then ask Laya about the top items. */
+private fun verify(opts: Options) {
+    val text = opts.positional.joinToString(" ").ifBlank { error("query text missing") }
+    val catalog = loadCatalog(opts)
+    val engine = loadEngine(opts)
+    val calibration = loadCalibration(opts)
+    val embeddings = File(opts.catalogDir, "catalog-embeddings.bin")
+    val index = if (embeddings.isFile) CatalogIndex.fromBytes(catalog.items, embeddings.readBytes(), engine.dimensions) else buildIndex(catalog, engine).first
+    val n = opts.flags["top"]?.toInt() ?: 6
+    val ranked = index.rank(engine.embedQuery(text), calibration)
+    val candidates = ranked.filter { it.tier == Tier.TOP }.take(n).ifEmpty { ranked.take(3) }
+    println("'$text' -> asking Laya about " + candidates.joinToString(" ") { "${it.item.emoji}(${"%.2f".format(it.cosine)})" })
+    verifyCommand(text, candidates.map { it.item }, opts.flags)
+}
+
+/** Debug: token ids of a text through tokenizer.json and vocab.txt, to catch normalisation differences. */
+private fun tokens(opts: Options) {
+    val text = opts.positional.joinToString(" ").ifBlank { error("text missing") }
+    val dir = File(opts.modelDir)
+    val fromJson = sk.ainet.frontend.tokenizer.TextFrontEnds.fromTokenizerJson(File(dir, "tokenizer.json").readText(), File(dir, "tokenizer_config.json").takeIf { it.isFile }?.readText()) as sk.ainet.frontend.text.BatchTokenizer
+    val fromVocab = sk.ainet.frontend.tokenizer.TextFrontEnds.fromVocabTxt(File(dir, "vocab.txt").readText())
+    val a = fromJson.encodeWithMetadata(text)
+    val b = fromVocab.encodeWithMetadata(text)
+    println("tokenizer.json: ${a.ids.toList()}")
+    println("vocab.txt:      ${b.ids.toList()}")
+    println("decoded(json):  ${fromJson.decode(a.ids)}")
+}
+
+private fun query(opts: Options) {
+    val text = opts.positional.joinToString(" ").ifBlank { error("query text missing") }
+    val catalog = loadCatalog(opts)
+    val engine = loadEngine(opts)
+    val calibration = loadCalibration(opts)
+    val embeddings = File(opts.catalogDir, "catalog-embeddings.bin")
+    val index = if (embeddings.isFile) CatalogIndex.fromBytes(catalog.items, embeddings.readBytes(), engine.dimensions) else buildIndex(catalog, engine).first
+    val t0 = System.nanoTime()
+    val v = engine.embedQuery(text)
+    val ranked = index.rank(v, calibration)
+    println("'$text' embedded in ${(System.nanoTime() - t0) / 1_000_000} ms; ${ranked.count { it.tier == Tier.TOP }} above threshold")
+    for (r in ranked.take(10)) {
+        println("  ${r.item.emoji}  cos ${"%.3f".format(r.cosine)}  conf ${"%.2f".format(r.confidence)}  ${if (r.tier == Tier.TOP) "TOP " else "    "} ${r.item.nameEn} / ${r.item.nameDe}")
+    }
+}
diff --git a/SemanticEmojiFilter/cli/src/noVerifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt b/SemanticEmojiFilter/cli/src/noVerifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt
new file mode 100644
index 0000000..38cd96f
--- /dev/null
+++ b/SemanticEmojiFilter/cli/src/noVerifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt
@@ -0,0 +1,9 @@
+package sk.ainet.samples.emoji.cli
+
+/** Built without `-PlayaVerifier=true`. */
+internal fun verifyAvailable(): Boolean = false
+
+internal fun verifyCommand(query: String, items: List<sk.ainet.samples.emoji.domain.CatalogItem>, flags: Map<String, String> = emptyMap()) {
+    System.err.println("verify: this CLI was built without -PlayaVerifier=true")
+    System.exit(2)
+}
diff --git a/SemanticEmojiFilter/cli/src/verifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt b/SemanticEmojiFilter/cli/src/verifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt
new file mode 100644
index 0000000..7d49f62
--- /dev/null
+++ b/SemanticEmojiFilter/cli/src/verifier/kotlin/sk/ainet/samples/emoji/cli/Verify.kt
@@ -0,0 +1,34 @@
+package sk.ainet.samples.emoji.cli
+
+import kotlinx.coroutines.flow.collect
+import kotlinx.coroutines.runBlocking
+import sk.ainet.samples.emoji.domain.CatalogItem
+import sk.ainet.samples.emoji.verifier.LayaVerifier
+import sk.ainet.samples.emoji.verifier.layaDesktopSource
+
+internal fun verifyAvailable(): Boolean = true
+
+/** Runs the Laya verifier over [items] for [query] and prints every verdict with its timing. */
+internal fun verifyCommand(query: String, items: List<CatalogItem>, flags: Map<String, String> = emptyMap()) {
+    val schema = sk.ainet.samples.emoji.verifier.EmojiMatchSchema.schema(
+        statement = flags["statement"] ?: sk.ainet.samples.emoji.verifier.EmojiMatchSchema.STATEMENT,
+        whenFalse = flags["no"] ?: sk.ainet.samples.emoji.verifier.EmojiMatchSchema.WHEN_FALSE,
+        whenTrue = flags["yes"] ?: sk.ainet.samples.emoji.verifier.EmojiMatchSchema.WHEN_TRUE,
+    )
+    val verifier = LayaVerifier(layaDesktopSource(), schema)
+    val started = System.nanoTime()
+    var loadMs = -1L
+    runBlocking {
+        verifier.verify(query, items).collect { v ->
+            if (loadMs < 0) loadMs = (System.nanoTime() - started) / 1_000_000 - v.millis
+            val item = items.first { it.id == v.itemId }
+            val p = v.probabilityTrue?.let { "%.2f".format(it) } ?: "fail"
+            val verdict = when (v.accepted) { true -> "YES"; false -> "no "; null -> "?  " }
+            println("  ${item.emoji}  $verdict  P(match)=$p  ${v.millis} ms  ${item.nameEn}")
+        }
+    }
+    println("Laya load ${loadMs} ms, ${items.size} decisions in ${(System.nanoTime() - started) / 1_000_000 - loadMs} ms")
+    val rss = java.io.File("/proc/self/status").takeIf { it.isFile }?.readLines()?.firstOrNull { it.startsWith("VmRSS:") }?.split(Regex("\\s+"))?.get(1)?.toLong()?.div(1024)
+    if (rss != null) println("RSS: $rss MB")
+    verifier.close()
+}
diff --git a/SemanticEmojiFilter/composeApp/build.gradle.kts b/SemanticEmojiFilter/composeApp/build.gradle.kts
new file mode 100644
index 0000000..46b95be
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/build.gradle.kts
@@ -0,0 +1,135 @@
+import org.jetbrains.compose.desktop.application.dsl.TargetFormat
+import org.jetbrains.kotlin.gradle.ExperimentalWasmDsl
+import org.jetbrains.kotlin.gradle.dsl.JvmTarget
+
+plugins {
+    alias(libs.plugins.kotlinMultiplatform)
+    alias(libs.plugins.androidMultiplatformLibrary)
+    alias(libs.plugins.composeMultiplatform)
+    alias(libs.plugins.composeCompiler)
+}
+
+val layaVerifier = providers.gradleProperty("layaVerifier").orNull == "true"
+
+kotlin {
+    jvmToolchain(21)
+
+    // The Android app entry point (MainActivity, manifest) lives in :androidApp — AGP 9 no
+    // longer allows 'com.android.application' in a KMP module. This is a plain KMP library on
+    // the Android axis; :androidApp depends on it for App().
+    android {
+        namespace = "sk.ainet.samples.emoji.library"
+        compileSdk = libs.versions.android.compileSdk.get().toInt()
+        minSdk = libs.versions.android.minSdk.get().toInt()
+
+        compilerOptions {
+            jvmTarget.set(JvmTarget.JVM_11)
+        }
+    }
+
+    jvm()
+
+    @OptIn(ExperimentalWasmDsl::class)
+    wasmJs {
+        browser()
+        binaries.executable()
+    }
+
+    sourceSets {
+        commonMain.dependencies {
+            implementation(projects.shared)
+            implementation("sk.ainet.ui:skainet-ui")
+            implementation(compose.runtime)
+            implementation(compose.foundation)
+            implementation(compose.material3)
+            implementation(compose.ui)
+            implementation(compose.components.resources)
+            implementation(compose.components.uiToolingPreview)
+            implementation(libs.androidx.lifecycle.viewmodelCompose)
+            implementation(libs.androidx.lifecycle.runtimeCompose)
+            implementation(libs.kotlinx.coroutines)
+        }
+        commonTest.dependencies {
+            implementation(libs.kotlin.test)
+        }
+        jvmMain.dependencies {
+            implementation(compose.desktop.currentOs)
+            implementation(libs.kotlinx.coroutinesSwing)
+        }
+        wasmJsMain.dependencies {
+            implementation(libs.kotlinx.coroutines)
+        }
+        // The Laya verifier is a build-time switch: with -PlayaVerifier=true the :verifier module
+        // is on the Desktop and Android classpath and the *Verifier source dirs provide
+        // createVerifier(); without it the *NoVerifier dirs return the no-op verifier.
+        val verifierDir = if (layaVerifier) "Verifier" else "NoVerifier"
+        jvmMain {
+            kotlin.srcDir("src/jvm$verifierDir/kotlin")
+            if (layaVerifier) dependencies { implementation(project(":verifier")) }
+        }
+        androidMain {
+            kotlin.srcDir("src/android$verifierDir/kotlin")
+            if (layaVerifier) dependencies { implementation(project(":verifier")) }
+        }
+    }
+}
+
+// Single source of truth for the JVM flags SKaiNET needs on desktop: the JDK Vector API
+// (incubator) for SIMD-accelerated CPU ops.
+val skainetSimdJvmArgs = listOf(
+    "--add-modules", "jdk.incubator.vector",
+    "--enable-preview",
+    "-Dskainet.cpu.vector.enabled=true",
+)
+
+tasks.withType<JavaExec>().configureEach {
+    jvmArgs(skainetSimdJvmArgs)
+    maxHeapSize = if (layaVerifier) "6g" else "2g"
+}
+
+tasks.withType<Test>().configureEach {
+    jvmArgs(skainetSimdJvmArgs)
+}
+
+// The web build bundles the LEAF checkpoint as Compose resources (wasm has no filesystem).
+// Desktop and Android download the same files at runtime instead, so the directory sits under
+// wasmJsMain and never reaches the jar or the APK.
+val leafDir = layout.projectDirectory.dir("src/wasmJsMain/composeResources/files/leaf")
+
+val fetchModel by tasks.registering(Exec::class) {
+    description = "Downloads the MongoDB LEAF (mdbr-leaf-ir) checkpoint into the wasm Compose resources. Skips if present."
+    group = "build setup"
+    val scriptPath = rootProject.layout.projectDirectory.file("scripts/fetch-model.sh")
+    commandLine("bash", scriptPath.asFile.absolutePath, leafDir.asFile.absolutePath)
+    inputs.file(scriptPath)
+    outputs.dir(leafDir)
+    val modelFile = leafDir.file("model.safetensors").asFile
+    onlyIf { !modelFile.exists() || modelFile.length() < 80L * 1024 * 1024 }
+}
+
+// Every Kotlin compile task AND every Compose-resources copy task depends on the model being on
+// disk — Gradle 9's strict implicit-dependency validator fails otherwise, since the
+// resource-copy task reads from a directory fetchModel writes into.
+tasks.matching {
+    it.name.startsWith("compileKotlin") ||
+        it.name.startsWith("compileJava") ||
+        it.name.startsWith("convertXmlValueResourcesFor") ||
+        it.name.startsWith("copyNonXmlValueResourcesFor") ||
+        it.name.startsWith("prepareComposeResourcesTaskFor") ||
+        it.name.startsWith("generateResourceAccessorsFor")
+}.configureEach { dependsOn(fetchModel) }
+
+compose.desktop {
+    application {
+        mainClass = "sk.ainet.samples.emoji.MainKt"
+
+        jvmArgs += skainetSimdJvmArgs
+        jvmArgs += if (layaVerifier) "-Xmx6g" else "-Xmx2g"
+
+        nativeDistributions {
+            targetFormats(TargetFormat.Dmg, TargetFormat.Msi, TargetFormat.Deb)
+            packageName = "sk.ainet.samples.emoji"
+            packageVersion = "1.0.0"
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/composeApp/src/androidNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt b/SemanticEmojiFilter/composeApp/src/androidNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
new file mode 100644
index 0000000..db0848b
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/androidNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
@@ -0,0 +1,8 @@
+package sk.ainet.samples.emoji
+
+import android.content.Context
+import sk.ainet.samples.emoji.verify.NoopVerifier
+import sk.ainet.samples.emoji.verify.Verifier
+
+/** Built without `-PlayaVerifier=true`: the second stage is off. */
+fun createVerifier(context: Context): Verifier = NoopVerifier("build with -PlayaVerifier=true")
diff --git a/SemanticEmojiFilter/composeApp/src/androidVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt b/SemanticEmojiFilter/composeApp/src/androidVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
new file mode 100644
index 0000000..0efa5bd
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/androidVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
@@ -0,0 +1,22 @@
+package sk.ainet.samples.emoji
+
+import android.app.ActivityManager
+import android.content.Context
+import sk.ainet.samples.emoji.verify.NoopVerifier
+import sk.ainet.samples.emoji.verify.Verifier
+import sk.ainet.samples.emoji.verifier.LayaVerifier
+import sk.ainet.samples.emoji.verifier.layaAndroidSource
+
+/**
+ * Built with `-PlayaVerifier=true`. The checkpoint is 644 MB of F16 weights and about 1.3 GB
+ * once up-cast to FP32 on the ART heap, so the verifier only switches on when the device grants
+ * a large heap that can hold it; otherwise the UI says why it is off.
+ */
+fun createVerifier(context: Context): Verifier {
+    val am = context.getSystemService(Context.ACTIVITY_SERVICE) as ActivityManager
+    val largeHeapMb = am.largeMemoryClass
+    if (am.isLowRamDevice || largeHeapMb < 2048) {
+        return NoopVerifier("needs a ${2048} MB heap, device grants $largeHeapMb MB")
+    }
+    return LayaVerifier(layaAndroidSource(context))
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration-queries.json b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration-queries.json
new file mode 100644
index 0000000..f6f10c8
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration-queries.json
@@ -0,0 +1,293 @@
+[
+  {
+    "query": "healthy things to eat",
+    "matches": [
+      "1F957",
+      "1F34E",
+      "1F966",
+      "1F955",
+      "1F34C",
+      "1F347",
+      "1F353",
+      "1F951",
+      "1F345",
+      "1F952",
+      "1F96C",
+      "1FAD0",
+      "1F95D",
+      "1F352"
+    ]
+  },
+  {
+    "query": "fruit",
+    "matches": [
+      "1F34E",
+      "1F34C",
+      "1F347",
+      "1F353",
+      "1F34A",
+      "1F34B",
+      "1F349",
+      "1FAD0",
+      "1F95D",
+      "1F352",
+      "1F351",
+      "1F350"
+    ]
+  },
+  {
+    "query": "junk food",
+    "matches": [
+      "1F355",
+      "1F354",
+      "1F35F",
+      "1F32D",
+      "1F369",
+      "1F37F",
+      "1F953",
+      "1F32E"
+    ]
+  },
+  {
+    "query": "something sweet",
+    "matches": [
+      "1F369",
+      "1F36A",
+      "1F382",
+      "1F370",
+      "1F9C1",
+      "1F36B",
+      "1F36C",
+      "1F36D",
+      "1F366"
+    ]
+  },
+  {
+    "query": "birthday cake",
+    "matches": [
+      "1F382",
+      "1F370",
+      "1F9C1",
+      "1F381",
+      "1F388"
+    ]
+  },
+  {
+    "query": "breakfast",
+    "matches": [
+      "1F95E",
+      "1F950",
+      "2615",
+      "1F95B",
+      "1F34C"
+    ]
+  },
+  {
+    "query": "feeling sick",
+    "matches": [
+      "1F912",
+      "1F927",
+      "1F92E",
+      "1F922",
+      "1F637",
+      "1F915",
+      "1F48A"
+    ]
+  },
+  {
+    "query": "hospital",
+    "matches": [
+      "1F3E5",
+      "1F691",
+      "1FA7A",
+      "1F489",
+      "1F48A",
+      "1F915"
+    ]
+  },
+  {
+    "query": "rock band",
+    "matches": [
+      "1F3B8",
+      "1F941",
+      "1F3A4",
+      "1F3B9",
+      "1F918",
+      "1F3B6"
+    ]
+  },
+  {
+    "query": "classical music",
+    "matches": [
+      "1F3BB",
+      "1F3B9",
+      "1F3BA",
+      "1F3B7",
+      "1F3BC",
+      "1F3B5"
+    ]
+  },
+  {
+    "query": "cute pets",
+    "matches": [
+      "1F436",
+      "1F431",
+      "1F439",
+      "1F430",
+      "1F42D"
+    ]
+  },
+  {
+    "query": "sea creatures",
+    "matches": [
+      "1F42C",
+      "1F433",
+      "1F988",
+      "1F419",
+      "1F422"
+    ]
+  },
+  {
+    "query": "rainy weather",
+    "matches": [
+      "1F327",
+      "26C8",
+      "2601",
+      "1F4A7"
+    ]
+  },
+  {
+    "query": "hot summer day",
+    "matches": [
+      "2600",
+      "1F525",
+      "1F3D6",
+      "1F349",
+      "1F366"
+    ]
+  },
+  {
+    "query": "winter sports",
+    "matches": [
+      "26F7",
+      "2744",
+      "1F3D4"
+    ]
+  },
+  {
+    "query": "team sports",
+    "matches": [
+      "26BD",
+      "1F3C0",
+      "1F3C8",
+      "26BE"
+    ]
+  },
+  {
+    "query": "going to the gym",
+    "matches": [
+      "1F3CB",
+      "1F3C3",
+      "1F94A",
+      "1F9D8"
+    ]
+  },
+  {
+    "query": "going on holiday",
+    "matches": [
+      "2708",
+      "1F3D6",
+      "1F9F3",
+      "1F3E8",
+      "26F5",
+      "1F6F3"
+    ]
+  },
+  {
+    "query": "camping in the mountains",
+    "matches": [
+      "26FA",
+      "1F3D4",
+      "1F332",
+      "1F525"
+    ]
+  },
+  {
+    "query": "very happy",
+    "matches": [
+      "1F600",
+      "1F60D",
+      "1F973",
+      "1F970",
+      "1F607"
+    ]
+  },
+  {
+    "query": "sad and crying",
+    "matches": [
+      "1F622",
+      "1F62D",
+      "1F494"
+    ]
+  },
+  {
+    "query": "angry",
+    "matches": [
+      "1F621",
+      "1F624"
+    ]
+  },
+  {
+    "query": "tired, need sleep",
+    "matches": [
+      "1F634",
+      "1F6CC",
+      "1F6CF",
+      "1F62C"
+    ]
+  },
+  {
+    "query": "working late at the office",
+    "matches": [
+      "1F4BB",
+      "23F0",
+      "2615",
+      "1F4C5"
+    ]
+  },
+  {
+    "query": "cleaning the house",
+    "matches": [
+      "1F9F9",
+      "1F3E0",
+      "1F5D1"
+    ]
+  },
+  {
+    "query": "video games",
+    "matches": [
+      "1F3AE",
+      "1F3B2",
+      "1F9E9",
+      "1F4BB"
+    ]
+  },
+  {
+    "query": "money and shopping",
+    "matches": [
+      "1F4B0",
+      "1F6D2",
+      "1F381"
+    ]
+  },
+  {
+    "query": "beach holiday",
+    "matches": [
+      "1F3D6",
+      "26F5",
+      "1F6F3",
+      "1F30A",
+      "2708"
+    ]
+  }
+]
\ No newline at end of file
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration.json b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration.json
new file mode 100644
index 0000000..de57099
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/calibration.json
@@ -0,0 +1,8 @@
+{
+    "k": 22.117331604372698,
+    "x0": 0.2785088608201167,
+    "threshold": 0.8,
+    "queries": 28,
+    "accuracy": 0.9790521978021978,
+    "f1": 0.5960264900662252
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog-embeddings.bin b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog-embeddings.bin
new file mode 100644
index 0000000000000000000000000000000000000000..4c9ad045ff91a7acab9ba9e7eb0a41f9cf702f6e
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diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog.json b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog.json
new file mode 100644
index 0000000..70676b2
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/catalog.json
@@ -0,0 +1,5517 @@
+{
+    "version": 1,
+    "cldr": "47",
+    "embeddingTextVersion": 1,
+    "embeddingsSha256": "21d90c9fcb6b1895dc9b2b4fa6eaa87f228dd0a99182ebc38ab7852c2dba94a3",
+    "items": [
+        {
+            "id": "1F957",
+            "emoji": "🥗",
+            "nameEn": "green salad",
+            "nameDe": "Salat",
+            "keywordsEn": [
+                "food",
+                "green",
+                "salad"
+            ],
+            "keywordsDe": [
+                "Blattgemüse",
+                "Essen",
+                "gesund",
+                "grün",
+                "Salat"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F34E",
+            "emoji": "🍎",
+            "nameEn": "red apple",
+            "nameDe": "roter Apfel",
+            "keywordsEn": [
+                "apple",
+                "diet",
+                "food",
+                "fruit",
+                "health",
+                "red",
+                "ripe"
+            ],
+            "keywordsDe": [
+                "Apfel",
+                "Frucht",
+                "Obst",
+                "rot",
+                "roter Apfel"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F966",
+            "emoji": "🥦",
+            "nameEn": "broccoli",
+            "nameDe": "Brokkoli",
+            "keywordsEn": [
+                "broccoli",
+                "cabbage",
+                "wild"
+            ],
+            "keywordsDe": [
+                "Broccoli",
+                "Brokkoli",
+                "essen",
+                "Gemüse",
+                "Gemüsekohl",
+                "Kohl"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F955",
+            "emoji": "🥕",
+            "nameEn": "carrot",
+            "nameDe": "Karotte",
+            "keywordsEn": [
+                "carrot",
+                "food",
+                "vegetable"
+            ],
+            "keywordsDe": [
+                "Gemüse",
+                "Karotte",
+                "Möhre",
+                "Mohrrübe"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F34C",
+            "emoji": "🍌",
+            "nameEn": "banana",
+            "nameDe": "Banane",
+            "keywordsEn": [
+                "banana",
+                "fruit",
+                "potassium"
+            ],
+            "keywordsDe": [
+                "Banane",
+                "Frucht",
+                "Obst",
+                "Schale"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F347",
+            "emoji": "🍇",
+            "nameEn": "grapes",
+            "nameDe": "Trauben",
+            "keywordsEn": [
+                "Dionysus",
+                "fruit",
+                "grape",
+                "grapes"
+            ],
+            "keywordsDe": [
+                "Frucht",
+                "Obst",
+                "Traube",
+                "Trauben",
+                "Wein"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F353",
+            "emoji": "🍓",
+            "nameEn": "strawberry",
+            "nameDe": "Erdbeere",
+            "keywordsEn": [
+                "berry",
+                "fruit",
+                "strawberry"
+            ],
+            "keywordsDe": [
+                "Beere",
+                "Erdbeere",
+                "Essen",
+                "Frucht",
+                "Obst"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F951",
+            "emoji": "🥑",
+            "nameEn": "avocado",
+            "nameDe": "Avocado",
+            "keywordsEn": [
+                "avocado",
+                "food",
+                "fruit"
+            ],
+            "keywordsDe": [
+                "Avocado",
+                "Essen",
+                "Frucht"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F345",
+            "emoji": "🍅",
+            "nameEn": "tomato",
+            "nameDe": "Tomate",
+            "keywordsEn": [
+                "food",
+                "fruit",
+                "tomato",
+                "vegetable"
+            ],
+            "keywordsDe": [
+                "Essen",
+                "Gemüse",
+                "Obst",
+                "Tomate"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F952",
+            "emoji": "🥒",
+            "nameEn": "cucumber",
+            "nameDe": "Gurke",
+            "keywordsEn": [
+                "cucumber",
+                "food",
+                "pickle",
+                "vegetable"
+            ],
+            "keywordsDe": [
+                "Essen",
+                "Gemüse",
+                "Gurke",
+                "Scheiben"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F34A",
+            "emoji": "🍊",
+            "nameEn": "tangerine",
+            "nameDe": "Mandarine",
+            "keywordsEn": [
+                "c",
+                "citrus",
+                "fruit",
+                "nectarine",
+                "orange",
+                "tangerine",
+                "vitamin"
+            ],
+            "keywordsDe": [
+                "Apfelsine",
+                "Frucht",
+                "Mandarine",
+                "Obst",
+                "Orange",
+                "Vitamin"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F34B",
+            "emoji": "🍋",
+            "nameEn": "lemon",
+            "nameDe": "Zitrone",
+            "keywordsEn": [
+                "citrus",
+                "fruit",
+                "lemon",
+                "sour"
+            ],
+            "keywordsDe": [
+                "Frucht",
+                "Obst",
+                "sauer",
+                "Zitrone",
+                "Zitrusfrucht"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F349",
+            "emoji": "🍉",
+            "nameEn": "watermelon",
+            "nameDe": "Wassermelone",
+            "keywordsEn": [
+                "fruit",
+                "watermelon"
+            ],
+            "keywordsDe": [
+                "Frucht",
+                "Melone",
+                "Obst",
+                "Wasser",
+                "Wassermelone"
+            ],
+            "tags": [
+                "food",
+                "healthy"
+            ],
+            "group": "food-healthy"
+        },
+        {
+            "id": "1F96C",
+            "emoji": "🥬",
+            "nameEn": "leafy green",
+            "nameDe": "Blattgemüse",
+            "keywordsEn": [
+                "bok",
+                "burgers",
+                "cabbage",
+                "choy",
+                "green",
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+                "Pok Choi",
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+                "food",
+                "healthy"
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+                "indulgent"
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+                "indulgent"
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+                "fever",
+                "flu",
+                "gesundheit",
+                "sick",
+                "sneeze",
+                "sneezing"
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+                "erkältet",
+                "Erkältung",
+                "Gesicht",
+                "Gesundheit",
+                "Grippe",
+                "hatschi",
+                "krank",
+                "Nase",
+                "niesen",
+                "putzen",
+                "Smiley",
+                "Taschentuch"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F92E",
+            "emoji": "🤮",
+            "nameEn": "face vomiting",
+            "nameDe": "kotzendes Gesicht",
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+                "barf",
+                "ew",
+                "face",
+                "gross",
+                "puke",
+                "sick",
+                "spew",
+                "throw",
+                "up",
+                "vomit",
+                "vomiting"
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+                "brechen",
+                "erbrechen",
+                "Gesicht",
+                "kotzen",
+                "krank",
+                "schlecht",
+                "Smiley",
+                "speien",
+                "spucken",
+                "übel",
+                "übergeben"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F922",
+            "emoji": "🤢",
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+                "face",
+                "gross",
+                "nasty",
+                "nauseated",
+                "sick",
+                "vomit"
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+                "ekel",
+                "eklig",
+                "erbrechen",
+                "Gesicht",
+                "grün",
+                "igitt",
+                "Smiley",
+                "Übelkeit",
+                "übergeben",
+                "widerlich",
+                "würgen"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F637",
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+            "nameDe": "Gesicht mit Atemschutzmaske",
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+                "cold",
+                "dentist",
+                "dermatologist",
+                "doctor",
+                "dr",
+                "face",
+                "germs",
+                "mask",
+                "medical",
+                "medicine",
+                "sick"
+            ],
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+                "Arzt",
+                "Atemschutzmaske",
+                "Bazillen",
+                "erkältet",
+                "Gesicht",
+                "krank",
+                "Krankheit",
+                "Mund",
+                "Mundschutz",
+                "Schutzmaske",
+                "Smiley",
+                "Viren",
+                "Virus"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F915",
+            "emoji": "🤕",
+            "nameEn": "face with head-bandage",
+            "nameDe": "Gesicht mit Kopfverband",
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+                "bandage",
+                "face",
+                "head-bandage",
+                "hurt",
+                "injury",
+                "ouch"
+            ],
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+                "aua",
+                "autsch",
+                "Gesicht",
+                "Kopf",
+                "Schmerzen",
+                "Smiley",
+                "Verband",
+                "Verletzung"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F48A",
+            "emoji": "💊",
+            "nameEn": "pill",
+            "nameDe": "Kapsel",
+            "keywordsEn": [
+                "doctor",
+                "drugs",
+                "medicated",
+                "medicine",
+                "pill",
+                "pills",
+                "sick",
+                "vitamin"
+            ],
+            "keywordsDe": [
+                "Arznei",
+                "Arzt",
+                "Kapsel",
+                "Medizin",
+                "Pille",
+                "Tabletten"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1FA7A",
+            "emoji": "🩺",
+            "nameEn": "stethoscope",
+            "nameDe": "Stethoskop",
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+                "doctor",
+                "heart",
+                "medicine",
+                "stethoscope"
+            ],
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+                "abhören",
+                "Arzt",
+                "Doktor",
+                "Herz",
+                "Herzschlag",
+                "Medizin",
+                "Stethoskop",
+                "Untersuchung"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F321",
+            "emoji": "🌡️",
+            "nameEn": "thermometer",
+            "nameDe": "Thermometer",
+            "keywordsEn": [
+                "thermometer",
+                "weather"
+            ],
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+                "Temperatur",
+                "Thermometer",
+                "Wetter"
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+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F3E5",
+            "emoji": "🏥",
+            "nameEn": "hospital",
+            "nameDe": "Krankenhaus",
+            "keywordsEn": [
+                "building",
+                "doctor",
+                "hospital",
+                "medicine"
+            ],
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+                "Ambulanz",
+                "Arzt",
+                "Gebäude",
+                "krank",
+                "Krankenhaus",
+                "Medizin",
+                "Notaufnahme"
+            ],
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+                "health",
+                "sick"
+            ],
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+        },
+        {
+            "id": "1F489",
+            "emoji": "💉",
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+            "nameDe": "Spritze",
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+                "doctor",
+                "flu",
+                "medicine",
+                "needle",
+                "shot",
+                "sick",
+                "syringe",
+                "tool",
+                "vaccination"
+            ],
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+                "Arzt",
+                "impfen",
+                "Impfung",
+                "Injektion",
+                "Kanüle",
+                "Nadel",
+                "Spritze"
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+                "health",
+                "sick"
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+            "group": "health-sick"
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+            "id": "1FA79",
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+            "nameDe": "Heftpflaster",
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+                "adhesive",
+                "bandage"
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+            "keywordsDe": [
+                "Heftpflaster",
+                "Pflaster",
+                "verletzt",
+                "Wunde"
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+                "health",
+                "sick"
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+                "bed",
+                "bedtime",
+                "good",
+                "goodnight",
+                "hotel",
+                "nap",
+                "night",
+                "person",
+                "sleep",
+                "tired",
+                "zzz"
+            ],
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+                "Bett",
+                "gute Nacht",
+                "Heia",
+                "im Bett liegende Person",
+                "Im Bett liegende Person",
+                "müde",
+                "Nachtruhe",
+                "schlaf schön",
+                "schlafen",
+                "zzz"
+            ],
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+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F691",
+            "emoji": "🚑",
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+            "nameDe": "Krankenwagen",
+            "keywordsEn": [
+                "ambulance",
+                "emergency",
+                "vehicle"
+            ],
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+                "Ambulanz",
+                "Krankenwagen",
+                "Notfall"
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+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F9A0",
+            "emoji": "🦠",
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+            "nameDe": "Mikrobe",
+            "keywordsEn": [
+                "amoeba",
+                "bacteria",
+                "microbe",
+                "science",
+                "virus"
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+                "Amöbe",
+                "Amöben",
+                "Bakterie",
+                "Bakterien",
+                "Einzeller",
+                "Medizin",
+                "Mikrobe",
+                "Virus",
+                "Wissenschaft"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
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+        {
+            "id": "1F9EC",
+            "emoji": "🧬",
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+                "biologist",
+                "dna",
+                "evolution",
+                "gene",
+                "genetics",
+                "life"
+            ],
+            "keywordsDe": [
+                "Biologe",
+                "Biologie",
+                "Biologin",
+                "DNA",
+                "DNS",
+                "Evolution",
+                "Gen",
+                "Genetik",
+                "Genmanipulation",
+                "Leben"
+            ],
+            "tags": [
+                "health",
+                "sick"
+            ],
+            "group": "health-sick"
+        },
+        {
+            "id": "1F3B8",
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+                "guitar",
+                "instrument",
+                "music",
+                "strat"
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+                "Gitarre",
+                "Instrument",
+                "Musik",
+                "Musikinstrument"
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+                "music",
+                "rock-band"
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+            "id": "1F941",
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+                "drum",
+                "drumsticks",
+                "music"
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+                "Drumsticks",
+                "Instrument",
+                "Musik",
+                "Schlägel",
+                "Sticks",
+                "Trommel",
+                "Trommelstöcke"
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+                "music",
+                "rock-band"
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+            "id": "1F3A4",
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+                "karaoke",
+                "mic",
+                "microphone",
+                "music",
+                "sing",
+                "sound"
+            ],
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+                "Karaoke",
+                "Mikrofon",
+                "Singen",
+                "Unterhaltung"
+            ],
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+                "music",
+                "rock-band"
+            ],
+            "group": "music-rock"
+        },
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+            "id": "1F3B9",
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+                "instrument",
+                "keyboard",
+                "music",
+                "musical",
+                "piano"
+            ],
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+                "Instrument",
+                "Klaviatur",
+                "Klavier",
+                "Musik",
+                "Musikinstrument",
+                "Piano",
+                "Tastatur",
+                "Tasten"
+            ],
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+                "music",
+                "rock-band"
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+            "group": "music-rock"
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+            "id": "1F3BA",
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+                "instrument",
+                "music",
+                "trumpet"
+            ],
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+                "Instrument",
+                "Musik",
+                "Musikinstrument",
+                "Trompete"
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+                "music",
+                "rock-band"
+            ],
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+        },
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+            "id": "1F3B7",
+            "emoji": "🎷",
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+            "nameDe": "Saxofon",
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+                "instrument",
+                "music",
+                "sax",
+                "saxophone"
+            ],
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+                "Instrument",
+                "Musik",
+                "Musikinstrument",
+                "Saxofon"
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+                "music",
+                "rock-band"
+            ],
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+        },
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+            "id": "1F3BB",
+            "emoji": "🎻",
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+                "instrument",
+                "music",
+                "violin"
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+                "Instrument",
+                "Musik",
+                "Musikinstrument",
+                "Violine"
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+            "tags": [
+                "music",
+                "rock-band"
+            ],
+            "group": "music-rock"
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+            "id": "1F918",
+            "emoji": "🤘",
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+                "finger",
+                "hand",
+                "horns",
+                "rock-on",
+                "sign"
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+                "corna",
+                "Finger",
+                "Hand",
+                "Heavy",
+                "Hörner",
+                "Mano cornuta",
+                "Metal",
+                "Metalhand",
+                "Pommesgabel",
+                "Rock",
+                "Teufel",
+                "Teufelsgruß",
+                "yeah"
+            ],
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+                "music",
+                "rock-band"
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+            "keywordsEn": [
+                "music",
+                "musical",
+                "note",
+                "notes",
+                "sound"
+            ],
+            "keywordsDe": [
+                "Musik",
+                "Musiknoten",
+                "Noten"
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+                "music",
+                "rock-band"
+            ],
+            "group": "music-rock"
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+            "id": "1F3B5",
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+                "music",
+                "musical",
+                "note",
+                "sound"
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+            "keywordsDe": [
+                "Lied",
+                "Melodie",
+                "Musik",
+                "Musiknote",
+                "Note"
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+                "music",
+                "rock-band"
+            ],
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+            "id": "1F3A7",
+            "emoji": "🎧",
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+            "nameDe": "Kopfhörer",
+            "keywordsEn": [
+                "earbud",
+                "headphone",
+                "sound"
+            ],
+            "keywordsDe": [
+                "Kopfhörer",
+                "Musik",
+                "Unterhaltung"
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+                "music",
+                "rock-band"
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+            "emoji": "🔊",
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+                "high",
+                "loud",
+                "music",
+                "sound",
+                "speaker",
+                "volume"
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+                "Dezibel",
+                "laut",
+                "Lautsprecher mit drei Schallwellen",
+                "Lautsprecher mit hoher Lautstärke",
+                "Musik",
+                "Schallwellen"
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+                "music",
+                "rock-band"
+            ],
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+            "id": "1F3BC",
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+                "music",
+                "musical",
+                "note",
+                "score"
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+                "Musik",
+                "Noten",
+                "Notenschlüssel",
+                "Partitur",
+                "Violinschlüssel"
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+                "music",
+                "rock-band"
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+                "entertainment",
+                "radio",
+                "tbt",
+                "video"
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+                "Musik",
+                "Radio"
+            ],
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+                "music",
+                "rock-band"
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+            "id": "1F436",
+            "emoji": "🐶",
+            "nameEn": "dog face",
+            "nameDe": "Hundegesicht",
+            "keywordsEn": [
+                "adorbs",
+                "animal",
+                "dog",
+                "face",
+                "pet",
+                "puppies",
+                "puppy"
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+            "keywordsDe": [
+                "Gesicht",
+                "Hund",
+                "Hundegesicht",
+                "Tier",
+                "treu",
+                "Wau",
+                "wuff"
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+            "tags": [
+                "animal"
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+            "group": "animals"
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+            "id": "1F431",
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+            "nameEn": "cat face",
+            "nameDe": "Katzengesicht",
+            "keywordsEn": [
+                "animal",
+                "cat",
+                "face",
+                "kitten",
+                "kitty",
+                "pet"
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+            "keywordsDe": [
+                "Gesicht",
+                "Katze",
+                "Katzengesicht",
+                "Miau",
+                "Miez",
+                "Miezekatze",
+                "Tier"
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+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
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+            "id": "1F42D",
+            "emoji": "🐭",
+            "nameEn": "mouse face",
+            "nameDe": "Mäusegesicht",
+            "keywordsEn": [
+                "animal",
+                "face",
+                "mouse"
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+            "keywordsDe": [
+                "Gesicht",
+                "Maus",
+                "Mäusegesicht",
+                "Mausgesicht",
+                "Nagetier",
+                "Tier"
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+                "animal"
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+            "id": "1F439",
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+            "nameEn": "hamster",
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+                "animal",
+                "face",
+                "hamster",
+                "pet"
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+            "keywordsDe": [
+                "Gesicht",
+                "Hamster",
+                "Hamstergesicht",
+                "Tier"
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+                "animal"
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+            "group": "animals"
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+            "id": "1F430",
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+            "nameEn": "rabbit face",
+            "nameDe": "Hasengesicht",
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+                "animal",
+                "bunny",
+                "face",
+                "pet",
+                "rabbit"
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+            "keywordsDe": [
+                "Gesicht",
+                "Hase",
+                "Hasengesicht",
+                "Kaninchen",
+                "Karnickel",
+                "Langohr",
+                "Mümmelmann",
+                "Nager",
+                "Nagetier",
+                "Tier"
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+                "animal"
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+            "id": "1F98A",
+            "emoji": "🦊",
+            "nameEn": "fox",
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+                "animal",
+                "face",
+                "fox"
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+            "keywordsDe": [
+                "Fuchs",
+                "Fuchsgesicht",
+                "Gesicht",
+                "Tier"
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+                "animal"
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+            "group": "animals"
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+            "id": "1F43B",
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+            "keywordsEn": [
+                "animal",
+                "bear",
+                "face",
+                "grizzly",
+                "growl",
+                "honey"
+            ],
+            "keywordsDe": [
+                "Bär",
+                "Bärengesicht",
+                "Gesicht",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F43C",
+            "emoji": "🐼",
+            "nameEn": "panda",
+            "nameDe": "Panda",
+            "keywordsEn": [
+                "animal",
+                "bamboo",
+                "face",
+                "panda"
+            ],
+            "keywordsDe": [
+                "Gesicht",
+                "Panda",
+                "Pandabär",
+                "Pandagesicht",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F428",
+            "emoji": "🐨",
+            "nameEn": "koala",
+            "nameDe": "Koala",
+            "keywordsEn": [
+                "animal",
+                "australia",
+                "bear",
+                "down",
+                "face",
+                "koala",
+                "marsupial",
+                "under"
+            ],
+            "keywordsDe": [
+                "Koala",
+                "Koalabär",
+                "Koalagesicht",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F981",
+            "emoji": "🦁",
+            "nameEn": "lion",
+            "nameDe": "Löwe",
+            "keywordsEn": [
+                "alpha",
+                "animal",
+                "face",
+                "Leo",
+                "lion",
+                "mane",
+                "order",
+                "rawr",
+                "roar",
+                "safari",
+                "strong",
+                "zodiac"
+            ],
+            "keywordsDe": [
+                "Gesicht",
+                "Löwe",
+                "Löwengesicht",
+                "Sternzeichen",
+                "Tier",
+                "Tierkreis"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F42E",
+            "emoji": "🐮",
+            "nameEn": "cow face",
+            "nameDe": "Kuhgesicht",
+            "keywordsEn": [
+                "animal",
+                "cow",
+                "face",
+                "farm",
+                "milk",
+                "moo"
+            ],
+            "keywordsDe": [
+                "Gesicht",
+                "Kuh",
+                "Kuhgesicht",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F437",
+            "emoji": "🐷",
+            "nameEn": "pig face",
+            "nameDe": "Schweinegesicht",
+            "keywordsEn": [
+                "animal",
+                "bacon",
+                "face",
+                "farm",
+                "pig",
+                "pork"
+            ],
+            "keywordsDe": [
+                "Gesicht",
+                "Schwein",
+                "Schweinegesicht",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F438",
+            "emoji": "🐸",
+            "nameEn": "frog",
+            "nameDe": "Frosch",
+            "keywordsEn": [
+                "animal",
+                "face",
+                "frog"
+            ],
+            "keywordsDe": [
+                "Frosch",
+                "Froschgesicht",
+                "Gesicht",
+                "grün",
+                "quak",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F435",
+            "emoji": "🐵",
+            "nameEn": "monkey face",
+            "nameDe": "Affengesicht",
+            "keywordsEn": [
+                "animal",
+                "banana",
+                "face",
+                "monkey"
+            ],
+            "keywordsDe": [
+                "Affe",
+                "Affengesicht",
+                "Banane",
+                "Dschungel",
+                "Gesicht",
+                "Tier",
+                "Zoo"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F414",
+            "emoji": "🐔",
+            "nameEn": "chicken",
+            "nameDe": "Huhn",
+            "keywordsEn": [
+                "animal",
+                "bird",
+                "chicken",
+                "ornithology"
+            ],
+            "keywordsDe": [
+                "Geflügel",
+                "Henne",
+                "Huhn",
+                "Tier",
+                "Tierkopf"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F427",
+            "emoji": "🐧",
+            "nameEn": "penguin",
+            "nameDe": "Pinguin",
+            "keywordsEn": [
+                "animal",
+                "antarctica",
+                "bird",
+                "ornithology",
+                "penguin"
+            ],
+            "keywordsDe": [
+                "Pinguin",
+                "Pinguinkopf",
+                "Tier",
+                "Vogel"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F98B",
+            "emoji": "🦋",
+            "nameEn": "butterfly",
+            "nameDe": "Schmetterling",
+            "keywordsEn": [
+                "butterfly",
+                "insect",
+                "pretty"
+            ],
+            "keywordsDe": [
+                "Insekt",
+                "Schmetterling",
+                "schön"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F41D",
+            "emoji": "🐝",
+            "nameEn": "honeybee",
+            "nameDe": "Biene",
+            "keywordsEn": [
+                "animal",
+                "bee",
+                "bumblebee",
+                "honey",
+                "honeybee",
+                "insect",
+                "nature",
+                "spring"
+            ],
+            "keywordsDe": [
+                "Biene",
+                "Honig",
+                "Honigbiene",
+                "Hummel",
+                "Insekt",
+                "Maja",
+                "Natur",
+                "Summ",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F40D",
+            "emoji": "🐍",
+            "nameEn": "snake",
+            "nameDe": "Schlange",
+            "keywordsEn": [
+                "animal",
+                "bearer",
+                "Ophiuchus",
+                "serpent",
+                "snake",
+                "zodiac"
+            ],
+            "keywordsDe": [
+                "Schlange",
+                "Schlangenträger",
+                "Sternzeichen",
+                "Tier",
+                "Tierkreis"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F422",
+            "emoji": "🐢",
+            "nameEn": "turtle",
+            "nameDe": "Schildkröte",
+            "keywordsEn": [
+                "animal",
+                "terrapin",
+                "tortoise",
+                "turtle"
+            ],
+            "keywordsDe": [
+                "Schildkröte",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F42C",
+            "emoji": "🐬",
+            "nameEn": "dolphin",
+            "nameDe": "Delfin",
+            "keywordsEn": [
+                "animal",
+                "beach",
+                "dolphin",
+                "flipper",
+                "ocean"
+            ],
+            "keywordsDe": [
+                "Delfin",
+                "Meer",
+                "Ozean",
+                "Strand",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F433",
+            "emoji": "🐳",
+            "nameEn": "spouting whale",
+            "nameDe": "blasender Wal",
+            "keywordsEn": [
+                "animal",
+                "beach",
+                "face",
+                "ocean",
+                "spouting",
+                "whale"
+            ],
+            "keywordsDe": [
+                "blasender Wal",
+                "Blasender Wal",
+                "Meer",
+                "Ozean",
+                "Tier",
+                "Wal"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F988",
+            "emoji": "🦈",
+            "nameEn": "shark",
+            "nameDe": "Hai",
+            "keywordsEn": [
+                "animal",
+                "fish",
+                "shark"
+            ],
+            "keywordsDe": [
+                "Fisch",
+                "Hai",
+                "Haifisch",
+                "Meer",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F419",
+            "emoji": "🐙",
+            "nameEn": "octopus",
+            "nameDe": "Oktopus",
+            "keywordsEn": [
+                "animal",
+                "creature",
+                "ocean",
+                "octopus"
+            ],
+            "keywordsDe": [
+                "Krake",
+                "Meer",
+                "Oktopus",
+                "Tier",
+                "Tintenfisch"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F989",
+            "emoji": "🦉",
+            "nameEn": "owl",
+            "nameDe": "Eule",
+            "keywordsEn": [
+                "animal",
+                "bird",
+                "ornithology",
+                "owl",
+                "wise"
+            ],
+            "keywordsDe": [
+                "Eule",
+                "Raubvogel",
+                "Tier",
+                "Uhu",
+                "Vogel",
+                "weise"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "1F418",
+            "emoji": "🐘",
+            "nameEn": "elephant",
+            "nameDe": "Elefant",
+            "keywordsEn": [
+                "animal",
+                "elephant"
+            ],
+            "keywordsDe": [
+                "Elefant",
+                "Tier"
+            ],
+            "tags": [
+                "animal"
+            ],
+            "group": "animals"
+        },
+        {
+            "id": "2600",
+            "emoji": "☀️",
+            "nameEn": "sun",
+            "nameDe": "Sonne",
+            "keywordsEn": [
+                "bright",
+                "rays",
+                "space",
+                "sun",
+                "sunny",
+                "weather"
+            ],
+            "keywordsDe": [
+                "Sonne",
+                "Sonnenstrahlen",
+                "sonnig",
+                "Strahlen",
+                "Wetter"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F327",
+            "emoji": "🌧️",
+            "nameEn": "cloud with rain",
+            "nameDe": "Wolke mit Regen",
+            "keywordsEn": [
+                "cloud",
+                "rain",
+                "weather"
+            ],
+            "keywordsDe": [
+                "Regen",
+                "Regenwolke",
+                "Wetter",
+                "Wolke",
+                "Wolke mit Regen"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "26C8",
+            "emoji": "⛈️",
+            "nameEn": "cloud with lightning and rain",
+            "nameDe": "Wolke mit Blitz und Regen",
+            "keywordsEn": [
+                "cloud",
+                "lightning",
+                "rain",
+                "thunder",
+                "thunderstorm"
+            ],
+            "keywordsDe": [
+                "Blitz",
+                "Gewitter",
+                "Regen",
+                "Wetter",
+                "Wolke",
+                "Wolke mit Blitz und Regen",
+                "wolkig"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "2744",
+            "emoji": "❄️",
+            "nameEn": "snowflake",
+            "nameDe": "Schneeflocke",
+            "keywordsEn": [
+                "cold",
+                "snow",
+                "snowflake",
+                "weather"
+            ],
+            "keywordsDe": [
+                "Flocke",
+                "kalt",
+                "Schnee",
+                "Schneeflocke",
+                "schneien",
+                "Wetter",
+                "Winter"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F308",
+            "emoji": "🌈",
+            "nameEn": "rainbow",
+            "nameDe": "Regenbogen",
+            "keywordsEn": [
+                "gay",
+                "genderqueer",
+                "glbt",
+                "glbtq",
+                "lesbian",
+                "lgbt",
+                "lgbtq",
+                "lgbtqia",
+                "nature",
+                "pride",
+                "queer",
+                "rain",
+                "rainbow",
+                "trans",
+                "transgender",
+                "weather"
+            ],
+            "keywordsDe": [
+                "Regenbogen",
+                "Wetter"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F32A",
+            "emoji": "🌪️",
+            "nameEn": "tornado",
+            "nameDe": "Wirbelsturm",
+            "keywordsEn": [
+                "cloud",
+                "tornado",
+                "weather",
+                "whirlwind"
+            ],
+            "keywordsDe": [
+                "Tornado",
+                "Wetter",
+                "Wirbelsturm"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F319",
+            "emoji": "🌙",
+            "nameEn": "crescent moon",
+            "nameDe": "Mondsichel",
+            "keywordsEn": [
+                "crescent",
+                "moon",
+                "ramadan",
+                "space"
+            ],
+            "keywordsDe": [
+                "Mond",
+                "Mondsichel",
+                "Nacht"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "2B50",
+            "emoji": "⭐",
+            "nameEn": "star",
+            "nameDe": "weißer mittelgroßer Stern",
+            "keywordsEn": [
+                "astronomy",
+                "medium",
+                "star",
+                "stars",
+                "white"
+            ],
+            "keywordsDe": [
+                "astronomie",
+                "gelber Stern",
+                "Himmel",
+                "Stern",
+                "weißer mittelgroßer Stern"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F525",
+            "emoji": "🔥",
+            "nameEn": "fire",
+            "nameDe": "Feuer",
+            "keywordsEn": [
+                "af",
+                "burn",
+                "fire",
+                "flame",
+                "hot",
+                "lit",
+                "litaf",
+                "tool"
+            ],
+            "keywordsDe": [
+                "brennen",
+                "Feuer",
+                "Flamme",
+                "heiß"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F4A7",
+            "emoji": "💧",
+            "nameEn": "droplet",
+            "nameDe": "Tropfen",
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+                "cold",
+                "comic",
+                "drop",
+                "droplet",
+                "nature",
+                "sad",
+                "sweat",
+                "tear",
+                "water",
+                "weather"
+            ],
+            "keywordsDe": [
+                "Schweiß",
+                "Träne",
+                "Tropfen",
+                "Wasser",
+                "Wassertropfen"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F30A",
+            "emoji": "🌊",
+            "nameEn": "water wave",
+            "nameDe": "Welle",
+            "keywordsEn": [
+                "nature",
+                "ocean",
+                "surf",
+                "surfer",
+                "surfing",
+                "water",
+                "wave"
+            ],
+            "keywordsDe": [
+                "Meer",
+                "Welle"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F338",
+            "emoji": "🌸",
+            "nameEn": "cherry blossom",
+            "nameDe": "Kirschblüte",
+            "keywordsEn": [
+                "blossom",
+                "cherry",
+                "flower",
+                "plant",
+                "spring",
+                "springtime"
+            ],
+            "keywordsDe": [
+                "Blume",
+                "Blüte",
+                "Kirschblüte",
+                "Kirsche",
+                "Pflanze"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F33B",
+            "emoji": "🌻",
+            "nameEn": "sunflower",
+            "nameDe": "Sonnenblume",
+            "keywordsEn": [
+                "flower",
+                "outdoors",
+                "plant",
+                "sun",
+                "sunflower"
+            ],
+            "keywordsDe": [
+                "Blume",
+                "Blüte",
+                "Pflanze",
+                "Sonne",
+                "Sonnenblume"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F332",
+            "emoji": "🌲",
+            "nameEn": "evergreen tree",
+            "nameDe": "Nadelbaum",
+            "keywordsEn": [
+                "christmas",
+                "evergreen",
+                "forest",
+                "pine",
+                "tree"
+            ],
+            "keywordsDe": [
+                "Baum",
+                "Nadelbaum",
+                "Pflanze",
+                "Tannenbaum"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F342",
+            "emoji": "🍂",
+            "nameEn": "fallen leaf",
+            "nameDe": "Laub",
+            "keywordsEn": [
+                "autumn",
+                "fall",
+                "fallen",
+                "falling",
+                "leaf"
+            ],
+            "keywordsDe": [
+                "Blatt",
+                "Blätter",
+                "Fallendes Laub",
+                "Herbst",
+                "Laub",
+                "Pflanze"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "2601",
+            "emoji": "☁️",
+            "nameEn": "cloud",
+            "nameDe": "Wolke",
+            "keywordsEn": [
+                "cloud",
+                "weather"
+            ],
+            "keywordsDe": [
+                "Wetter",
+                "Wolke",
+                "wolkig"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "1F30B",
+            "emoji": "🌋",
+            "nameEn": "volcano",
+            "nameDe": "Vulkan",
+            "keywordsEn": [
+                "eruption",
+                "mountain",
+                "nature",
+                "volcano"
+            ],
+            "keywordsDe": [
+                "Ausbruch",
+                "Berg",
+                "Lava",
+                "Vulkan",
+                "Vulkanausbruch",
+                "Wetter"
+            ],
+            "tags": [
+                "weather",
+                "nature"
+            ],
+            "group": "weather-nature"
+        },
+        {
+            "id": "26BD",
+            "emoji": "⚽",
+            "nameEn": "soccer ball",
+            "nameDe": "Fußball",
+            "keywordsEn": [
+                "ball",
+                "football",
+                "futbol",
+                "soccer",
+                "sport"
+            ],
+            "keywordsDe": [
+                "Ball",
+                "Bundesliga",
+                "Fußball",
+                "Messi"
+            ],
+            "tags": [
+                "sport"
+            ],
+            "group": "sport"
+        },
+        {
+            "id": "1F3C0",
+            "emoji": "🏀",
+            "nameEn": "basketball",
+            "nameDe": "Basketball",
+            "keywordsEn": [
+                "ball",
+                "basketball",
+                "hoop",
+                "sport"
+            ],
+            "keywordsDe": [
+                "Ball",
+                "Basketball",
+                "Korb",
+                "Sport"
+            ],
+            "tags": [
+                "sport"
+            ],
+            "group": "sport"
+        },
+        {
+            "id": "1F3BE",
+            "emoji": "🎾",
+            "nameEn": "tennis",
+            "nameDe": "Tennisball",
+            "keywordsEn": [
+                "ball",
+                "racquet",
+                "sport",
+                "tennis"
+            ],
+            "keywordsDe": [
+                "Ball",
+                "Sport",
+                "Tennis",
+                "Tennisball"
+            ],
+            "tags": [
+                "sport"
+            ],
+            "group": "sport"
+        },
+        {
+            "id": "1F3C8",
+            "emoji": "🏈",
+            "nameEn": "american football",
+            "nameDe": "Football",
+            "keywordsEn": [
+                "american",
+                "ball",
+                "bowl",
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+                "emotion"
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+                "comic",
+                "electric",
+                "idea",
+                "light"
+            ],
+            "keywordsDe": [
+                "Glühbirne",
+                "hell",
+                "Idee",
+                "Lampe",
+                "Licht"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F527",
+            "emoji": "🔧",
+            "nameEn": "wrench",
+            "nameDe": "Schraubenschlüssel",
+            "keywordsEn": [
+                "home",
+                "improvement",
+                "spanner",
+                "tool",
+                "wrench"
+            ],
+            "keywordsDe": [
+                "Schraubenschlüssel",
+                "Werkzeug"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F528",
+            "emoji": "🔨",
+            "nameEn": "hammer",
+            "nameDe": "Hammer",
+            "keywordsEn": [
+                "hammer",
+                "home",
+                "improvement",
+                "repairs",
+                "tool"
+            ],
+            "keywordsDe": [
+                "Hammer",
+                "Werkzeug"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F4B0",
+            "emoji": "💰",
+            "nameEn": "money bag",
+            "nameDe": "Geldsack",
+            "keywordsEn": [
+                "bag",
+                "bank",
+                "bet",
+                "billion",
+                "cash",
+                "cost",
+                "dollar",
+                "gold",
+                "million",
+                "money",
+                "moneybag",
+                "paid",
+                "paying",
+                "pot",
+                "rich",
+                "win"
+            ],
+            "keywordsDe": [
+                "Geld",
+                "Geldsack",
+                "Moneten",
+                "reich",
+                "Sack"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F381",
+            "emoji": "🎁",
+            "nameEn": "wrapped gift",
+            "nameDe": "Geschenk",
+            "keywordsEn": [
+                "birthday",
+                "bow",
+                "box",
+                "celebration",
+                "christmas",
+                "gift",
+                "present",
+                "surprise",
+                "wrapped"
+            ],
+            "keywordsDe": [
+                "Feier",
+                "Geburtstag",
+                "Geschenk",
+                "Schachtel",
+                "Schleife",
+                "Überraschung",
+                "verpackt",
+                "Weihnachten"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F388",
+            "emoji": "🎈",
+            "nameEn": "balloon",
+            "nameDe": "Luftballon",
+            "keywordsEn": [
+                "balloon",
+                "birthday",
+                "celebrate",
+                "celebration"
+            ],
+            "keywordsDe": [
+                "Ballon",
+                "Feier",
+                "Geburtstag",
+                "Luftballon"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "23F0",
+            "emoji": "⏰",
+            "nameEn": "alarm clock",
+            "nameDe": "Wecker",
+            "keywordsEn": [
+                "alarm",
+                "clock",
+                "hours",
+                "hrs",
+                "late",
+                "time",
+                "waiting"
+            ],
+            "keywordsDe": [
+                "Uhr",
+                "Uhrzeit",
+                "Wecker",
+                "Zeit"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F4C5",
+            "emoji": "📅",
+            "nameEn": "calendar",
+            "nameDe": "Kalender",
+            "keywordsEn": [
+                "calendar",
+                "date"
+            ],
+            "keywordsDe": [
+                "Datum",
+                "Kalender",
+                "Kalenderblatt"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F5D1",
+            "emoji": "🗑️",
+            "nameEn": "wastebasket",
+            "nameDe": "Papierkorb",
+            "keywordsEn": [
+                "can",
+                "garbage",
+                "trash",
+                "waste",
+                "wastebasket"
+            ],
+            "keywordsDe": [
+                "Abfalleimer",
+                "Papierkorb"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F9F9",
+            "emoji": "🧹",
+            "nameEn": "broom",
+            "nameDe": "Besen",
+            "keywordsEn": [
+                "broom",
+                "cleaning",
+                "sweeping",
+                "witch"
+            ],
+            "keywordsDe": [
+                "Besen",
+                "fegen",
+                "Fegen",
+                "Hexe",
+                "Hexenbesen",
+                "kehren",
+                "Kehren",
+                "reinigen",
+                "sauber machen",
+                "säubern"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F6D2",
+            "emoji": "🛒",
+            "nameEn": "shopping cart",
+            "nameDe": "Einkaufswagen",
+            "keywordsEn": [
+                "cart",
+                "shopping",
+                "trolley"
+            ],
+            "keywordsDe": [
+                "einkaufen",
+                "Einkaufswagen"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F3AE",
+            "emoji": "🎮",
+            "nameEn": "video game",
+            "nameDe": "Gamepad",
+            "keywordsEn": [
+                "controller",
+                "entertainment",
+                "game",
+                "video"
+            ],
+            "keywordsDe": [
+                "Gamepad",
+                "Gaming",
+                "Unterhaltung",
+                "Videospiel"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F3B2",
+            "emoji": "🎲",
+            "nameEn": "game die",
+            "nameDe": "Spielwürfel",
+            "keywordsEn": [
+                "dice",
+                "die",
+                "entertainment",
+                "game"
+            ],
+            "keywordsDe": [
+                "Casino",
+                "Spiel",
+                "Spielwürfel",
+                "Unterhaltung",
+                "Würfel",
+                "würfeln",
+                "Zufall"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F9E9",
+            "emoji": "🧩",
+            "nameEn": "puzzle piece",
+            "nameDe": "Puzzleteil",
+            "keywordsEn": [
+                "clue",
+                "interlocking",
+                "jigsaw",
+                "piece",
+                "puzzle"
+            ],
+            "keywordsDe": [
+                "Bestandteile",
+                "Hinweise",
+                "Hobby",
+                "passen",
+                "puzzeln",
+                "Puzzle",
+                "Puzzlestück",
+                "Puzzleteil",
+                "Puzzleteile",
+                "Spiel",
+                "Teile",
+                "zusammenpassen",
+                "zusammensetzen"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F3E0",
+            "emoji": "🏠",
+            "nameEn": "house",
+            "nameDe": "Haus",
+            "keywordsEn": [
+                "building",
+                "country",
+                "heart",
+                "home",
+                "house",
+                "ranch",
+                "settle",
+                "simple",
+                "suburban",
+                "suburbia",
+                "where"
+            ],
+            "keywordsDe": [
+                "Gebäude",
+                "Haus",
+                "Zuhause"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F6BF",
+            "emoji": "🚿",
+            "nameEn": "shower",
+            "nameDe": "Dusche",
+            "keywordsEn": [
+                "shower",
+                "water"
+            ],
+            "keywordsDe": [
+                "Dusche",
+                "Duschkopf"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        },
+        {
+            "id": "1F6CF",
+            "emoji": "🛏️",
+            "nameEn": "bed",
+            "nameDe": "Bett",
+            "keywordsEn": [
+                "bed",
+                "hotel",
+                "sleep"
+            ],
+            "keywordsDe": [
+                "Bett",
+                "Hotel",
+                "schlafen",
+                "Übernachtung"
+            ],
+            "tags": [
+                "object",
+                "everyday"
+            ],
+            "group": "objects"
+        }
+    ]
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/golden-queries.json b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/golden-queries.json
new file mode 100644
index 0000000..23f9c53
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/composeResources/files/catalog/golden-queries.json
@@ -0,0 +1 @@
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diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/App.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/App.kt
new file mode 100644
index 0000000..8b3e659
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/App.kt
@@ -0,0 +1,13 @@
+package sk.ainet.samples.emoji
+
+import androidx.compose.runtime.Composable
+import sk.ainet.samples.emoji.ui.SearchScreen
+import sk.ainet.samples.emoji.vm.EmojiSearchViewModel
+import sk.ainet.ui.theme.SKaiNETTheme
+
+@Composable
+fun App(viewModel: EmojiSearchViewModel, skainetVersion: String) {
+    SKaiNETTheme {
+        SearchScreen(viewModel = viewModel, skainetVersion = skainetVersion)
+    }
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt
new file mode 100644
index 0000000..bfc0b6b
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt
@@ -0,0 +1,5 @@
+package sk.ainet.samples.emoji
+
+/** Desktop/wasm display version — keep in sync with `skainet` in gradle/libs.versions.toml.
+ *  Android reads the real catalog value at build time via `BuildConfig.SKAINET_VERSION` instead. */
+const val SKAINET_VERSION = "0.58.0"
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/CatalogResources.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/CatalogResources.kt
new file mode 100644
index 0000000..f8a22da
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/CatalogResources.kt
@@ -0,0 +1,32 @@
+package sk.ainet.samples.emoji
+
+import org.jetbrains.compose.resources.ExperimentalResourceApi
+import semanticemojifilter.composeapp.generated.resources.Res
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.domain.Catalog
+import sk.ainet.samples.emoji.engine.CatalogIndex
+import sk.ainet.samples.emoji.engine.EmbeddingEngine
+
+/** The bundled catalog, calibration and (optionally) precomputed embeddings. */
+@OptIn(ExperimentalResourceApi::class)
+object CatalogResources {
+    suspend fun catalog(): Catalog = Catalog.parse(Res.readBytes("files/catalog/catalog.json").decodeToString())
+
+    suspend fun calibration(): Calibration =
+        runCatching { Calibration.parse(Res.readBytes("files/catalog/calibration.json").decodeToString()) }.getOrDefault(Calibration.DEFAULT)
+
+    /**
+     * The index for [catalog]: the shipped `catalog-embeddings.bin` when its digest matches the
+     * catalog (the web build always takes this path), otherwise computed with [engine].
+     */
+    suspend fun index(catalog: Catalog, engine: EmbeddingEngine, forceCompute: Boolean = false, onProgress: (String) -> Unit): CatalogIndex {
+        if (!forceCompute && catalog.embeddingsSha256.isNotBlank()) {
+            val bytes = runCatching { Res.readBytes("files/catalog/catalog-embeddings.bin") }.getOrNull()
+            if (bytes != null && bytes.size == catalog.items.size * engine.dimensions * 4) {
+                onProgress("Using precomputed catalog embeddings…")
+                return CatalogIndex.fromBytes(catalog.items, bytes, engine.dimensions)
+            }
+        }
+        return CatalogIndex.build(catalog.items, engine) { done, total -> if (done % 10 == 0 || done == total) onProgress("Embedding catalog… $done / $total") }
+    }
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/DiagnosticsRow.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/DiagnosticsRow.kt
new file mode 100644
index 0000000..0be6782
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/DiagnosticsRow.kt
@@ -0,0 +1,49 @@
+package sk.ainet.samples.emoji.ui
+
+import androidx.compose.foundation.layout.Arrangement
+import androidx.compose.foundation.layout.Row
+import androidx.compose.foundation.layout.fillMaxWidth
+import androidx.compose.foundation.layout.height
+import androidx.compose.foundation.layout.width
+import androidx.compose.material3.AssistChip
+import androidx.compose.material3.CircularProgressIndicator
+import androidx.compose.material3.MaterialTheme
+import androidx.compose.material3.Text
+import androidx.compose.runtime.Composable
+import androidx.compose.ui.Modifier
+import androidx.compose.ui.unit.dp
+import sk.ainet.samples.emoji.verify.VerifierState
+import sk.ainet.samples.emoji.vm.SearchStats
+
+/** Timings and the verifier state, so the demo shows its numbers instead of claiming them. */
+@Composable
+fun DiagnosticsRow(stats: SearchStats, verifierState: VerifierState, kernel: String) {
+    Row(Modifier.fillMaxWidth(), horizontalArrangement = Arrangement.spacedBy(6.dp)) {
+        AssistChip(onClick = {}, label = { Text(kernel) })
+        AssistChip(onClick = {}, label = { Text("load ${stats.modelLoadMs} ms · index ${stats.indexBuildMs} ms") })
+        if (stats.queries > 0) {
+            AssistChip(onClick = {}, label = { Text("query ${stats.lastQueryMs} ms · p50 ${stats.p50QueryMs} ms") })
+        }
+        VerifierChip(verifierState)
+    }
+}
+
+@Composable
+private fun VerifierChip(state: VerifierState) {
+    val label = when (state) {
+        is VerifierState.Disabled -> "System 2: off (${state.reason})"
+        VerifierState.Idle -> "System 2: Laya ready"
+        is VerifierState.Loading -> "System 2: ${state.message}"
+        is VerifierState.Busy -> "System 2: ${state.done}/${state.total}"
+        is VerifierState.Error -> "System 2: error"
+    }
+    AssistChip(
+        onClick = {},
+        label = { Text(label, color = if (state is VerifierState.Error) MaterialTheme.colorScheme.error else MaterialTheme.colorScheme.onSurface) },
+        leadingIcon = {
+            if (state is VerifierState.Loading || state is VerifierState.Busy) {
+                CircularProgressIndicator(Modifier.width(14.dp).height(14.dp), strokeWidth = 2.dp)
+            }
+        },
+    )
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/EmojiGrid.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/EmojiGrid.kt
new file mode 100644
index 0000000..c0ee5e2
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/EmojiGrid.kt
@@ -0,0 +1,117 @@
+package sk.ainet.samples.emoji.ui
+
+import androidx.compose.animation.animateColorAsState
+import androidx.compose.foundation.layout.Arrangement
+import androidx.compose.foundation.layout.Box
+import androidx.compose.foundation.layout.Column
+import androidx.compose.foundation.layout.Row
+import androidx.compose.foundation.layout.Spacer
+import androidx.compose.foundation.layout.fillMaxWidth
+import androidx.compose.foundation.layout.height
+import androidx.compose.foundation.layout.padding
+import androidx.compose.foundation.layout.width
+import androidx.compose.foundation.lazy.grid.GridCells
+import androidx.compose.foundation.lazy.grid.GridItemSpan
+import androidx.compose.foundation.lazy.grid.LazyVerticalGrid
+import androidx.compose.foundation.lazy.grid.items
+import androidx.compose.material3.Card
+import androidx.compose.material3.CardDefaults
+import androidx.compose.material3.CircularProgressIndicator
+import androidx.compose.material3.MaterialTheme
+import androidx.compose.material3.Text
+import androidx.compose.runtime.Composable
+import androidx.compose.runtime.getValue
+import androidx.compose.ui.Alignment
+import androidx.compose.ui.Modifier
+import androidx.compose.ui.graphics.Color
+import androidx.compose.ui.text.style.TextOverflow
+import androidx.compose.ui.unit.dp
+import androidx.compose.ui.unit.sp
+import sk.ainet.samples.emoji.domain.RankedItem
+import sk.ainet.samples.emoji.domain.Tier
+import sk.ainet.samples.emoji.verify.Verdict
+
+/**
+ * Two tiers: the items above the calibrated threshold first, with their confidence badge and,
+ * when the verifier has spoken, its probability next to it; everything else below in rank order.
+ */
+@Composable
+fun EmojiGrid(ranked: List<RankedItem>, verdicts: Map<String, Verdict>, german: Boolean, queryActive: Boolean, modifier: Modifier = Modifier) {
+    val top = if (queryActive) ranked.filter { it.tier == Tier.TOP } else emptyList()
+    val rest = if (queryActive) ranked.filter { it.tier == Tier.REST } else ranked
+    LazyVerticalGrid(columns = GridCells.Adaptive(minSize = 112.dp), modifier = modifier, verticalArrangement = Arrangement.spacedBy(8.dp), horizontalArrangement = Arrangement.spacedBy(8.dp)) {
+        if (queryActive) {
+            item(span = { GridItemSpan(maxLineSpan) }) {
+                SectionLabel(if (german) "Treffer (${top.size})" else "Matches (${top.size})")
+            }
+            if (top.isEmpty()) {
+                item(span = { GridItemSpan(maxLineSpan) }) {
+                    Text(if (german) "Nichts über der Schwelle — die nächsten Kandidaten stehen unten." else "Nothing above the threshold; the closest candidates are below.", style = MaterialTheme.typography.bodySmall)
+                }
+            }
+            items(top, key = { it.item.id }) { EmojiCard(it, verdicts[it.item.id], german, highlighted = true, pending = queryActive && verdicts[it.item.id] == null) }
+            item(span = { GridItemSpan(maxLineSpan) }) {
+                SectionLabel(if (german) "Alle anderen" else "Everything else")
+            }
+        }
+        items(rest, key = { it.item.id }) { EmojiCard(it, verdicts[it.item.id], german, highlighted = false, pending = false) }
+    }
+}
+
+@Composable
+private fun SectionLabel(text: String) {
+    Text(text, style = MaterialTheme.typography.labelLarge, color = MaterialTheme.colorScheme.onSurfaceVariant, modifier = Modifier.padding(top = 8.dp, bottom = 2.dp))
+}
+
+@Composable
+fun EmojiCard(ranked: RankedItem, verdict: Verdict?, german: Boolean, highlighted: Boolean, pending: Boolean) {
+    val container by animateColorAsState(
+        when {
+            verdict?.accepted == true -> MaterialTheme.colorScheme.primaryContainer
+            verdict?.accepted == false -> MaterialTheme.colorScheme.errorContainer
+            highlighted -> MaterialTheme.colorScheme.secondaryContainer
+            else -> MaterialTheme.colorScheme.surfaceVariant
+        },
+    )
+    Card(colors = CardDefaults.cardColors(containerColor = container)) {
+        Column(Modifier.padding(10.dp).fillMaxWidth(), horizontalAlignment = Alignment.CenterHorizontally) {
+            Text(ranked.item.emoji, fontSize = 34.sp)
+            Spacer(Modifier.height(4.dp))
+            Text(ranked.item.name(german), style = MaterialTheme.typography.labelMedium, maxLines = 1, overflow = TextOverflow.Ellipsis)
+            if (highlighted || ranked.cosine != 0f) {
+                Spacer(Modifier.height(4.dp))
+                ConfidenceBadge(ranked, verdict, pending)
+            }
+        }
+    }
+}
+
+/** `cos 0.71 · Laya 0.12`; the vector score and the decision model side by side. */
+@Composable
+fun ConfidenceBadge(ranked: RankedItem, verdict: Verdict?, pending: Boolean) {
+    Row(verticalAlignment = Alignment.CenterVertically, horizontalArrangement = Arrangement.spacedBy(4.dp)) {
+        Text("${(ranked.confidence * 100).toInt()} %", style = MaterialTheme.typography.labelSmall)
+        Text("·", style = MaterialTheme.typography.labelSmall, color = MaterialTheme.colorScheme.onSurfaceVariant)
+        when {
+            verdict != null -> {
+                val text = verdict.probabilityTrue?.let { "Laya ${(it * 100).toInt()} %" + (if (verdict.accepted == null) " ?" else "") } ?: "Laya !"
+                val color = when (verdict.accepted) {
+                    true -> Color(0xFF2E7D32)
+                    false -> MaterialTheme.colorScheme.error
+                    null -> MaterialTheme.colorScheme.onSurfaceVariant
+                }
+                Text(text, style = MaterialTheme.typography.labelSmall, color = color)
+            }
+            pending -> Box { CircularProgressIndicator(Modifier.width(10.dp).height(10.dp), strokeWidth = 1.5.dp) }
+            else -> Text("cos ${formatCosine(ranked.cosine)}", style = MaterialTheme.typography.labelSmall, color = MaterialTheme.colorScheme.onSurfaceVariant)
+        }
+    }
+}
+
+/** Two decimals without `String.format`, which the wasm target does not have. */
+private fun formatCosine(value: Float): String {
+    val hundredths = (value * 100).toInt()
+    val sign = if (hundredths < 0) "-" else ""
+    val abs = kotlin.math.abs(hundredths)
+    return "$sign${abs / 100}.${(abs % 100).toString().padStart(2, '0')}"
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/PlatformChips.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/PlatformChips.kt
new file mode 100644
index 0000000..2bc7c48
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/PlatformChips.kt
@@ -0,0 +1,22 @@
+package sk.ainet.samples.emoji.ui
+
+import androidx.compose.foundation.layout.Arrangement
+import androidx.compose.foundation.layout.Row
+import androidx.compose.foundation.layout.fillMaxWidth
+import androidx.compose.material3.FilterChip
+import androidx.compose.material3.Text
+import androidx.compose.runtime.Composable
+import androidx.compose.ui.Modifier
+import androidx.compose.ui.unit.dp
+import sk.ainet.samples.emoji.platform.SamplePlatform
+import sk.ainet.samples.emoji.platform.currentSamplePlatform
+
+/** One chip per platform this sample runs on, the current one highlighted; informational only. */
+@Composable
+fun PlatformChips(modifier: Modifier = Modifier) {
+    Row(modifier.fillMaxWidth(), horizontalArrangement = Arrangement.spacedBy(6.dp)) {
+        for (platform in SamplePlatform.entries) {
+            FilterChip(selected = platform == currentSamplePlatform, onClick = {}, label = { Text(platform.label) })
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/SearchScreen.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/SearchScreen.kt
new file mode 100644
index 0000000..38ff96e
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/ui/SearchScreen.kt
@@ -0,0 +1,99 @@
+package sk.ainet.samples.emoji.ui
+
+import androidx.compose.foundation.layout.Arrangement
+import androidx.compose.foundation.layout.Column
+import androidx.compose.foundation.layout.Row
+import androidx.compose.foundation.layout.Spacer
+import androidx.compose.foundation.layout.fillMaxSize
+import androidx.compose.foundation.layout.fillMaxWidth
+import androidx.compose.foundation.layout.height
+import androidx.compose.foundation.layout.padding
+import androidx.compose.foundation.layout.width
+import androidx.compose.foundation.text.KeyboardOptions
+import androidx.compose.material3.CircularProgressIndicator
+import androidx.compose.material3.FilterChip
+import androidx.compose.material3.LinearProgressIndicator
+import androidx.compose.material3.MaterialTheme
+import androidx.compose.material3.OutlinedTextField
+import androidx.compose.material3.Scaffold
+import androidx.compose.material3.Text
+import androidx.compose.runtime.Composable
+import androidx.compose.runtime.getValue
+import androidx.compose.runtime.mutableStateOf
+import androidx.compose.runtime.remember
+import androidx.compose.runtime.setValue
+import androidx.compose.ui.Alignment
+import androidx.compose.ui.Modifier
+import androidx.compose.ui.text.input.ImeAction
+import androidx.compose.ui.unit.dp
+import androidx.lifecycle.compose.collectAsStateWithLifecycle
+import sk.ainet.samples.emoji.platform.kernelTierLabel
+import sk.ainet.samples.emoji.vm.EmojiSearchViewModel
+import sk.ainet.samples.emoji.vm.LoadState
+
+@Composable
+fun SearchScreen(viewModel: EmojiSearchViewModel, skainetVersion: String) {
+    val status by viewModel.status.collectAsStateWithLifecycle()
+    val query by viewModel.query.collectAsStateWithLifecycle()
+    val ranked by viewModel.ranked.collectAsStateWithLifecycle()
+    val verdicts by viewModel.verdicts.collectAsStateWithLifecycle()
+    val stats by viewModel.stats.collectAsStateWithLifecycle()
+    val verifierState by viewModel.verifier.state.collectAsStateWithLifecycle()
+    var german by remember { mutableStateOf(false) }
+
+    Scaffold { padding ->
+        Column(Modifier.fillMaxSize().padding(padding).padding(horizontal = 16.dp, vertical = 12.dp)) {
+            Header(skainetVersion, german, onLanguage = { german = it })
+            Spacer(Modifier.height(12.dp))
+
+            OutlinedTextField(
+                value = query,
+                onValueChange = { viewModel.query.value = it },
+                modifier = Modifier.fillMaxWidth(),
+                singleLine = true,
+                enabled = status is LoadState.Ready,
+                label = { Text(if (german) "Beschreibe, was du meinst…" else "Describe what you mean…") },
+                placeholder = { Text(if (german) "gesundes Essen · mir ist schlecht · Rockband" else "healthy things to eat · feeling sick · rock band") },
+                keyboardOptions = KeyboardOptions(imeAction = ImeAction.Search),
+            )
+            Spacer(Modifier.height(8.dp))
+
+            when (val s = status) {
+                is LoadState.Idle, is LoadState.Loading -> {
+                    Row(verticalAlignment = Alignment.CenterVertically) {
+                        CircularProgressIndicator(Modifier.width(18.dp).height(18.dp), strokeWidth = 2.dp)
+                        Spacer(Modifier.width(8.dp))
+                        Text((s as? LoadState.Loading)?.message ?: "Starting…", style = MaterialTheme.typography.bodySmall)
+                    }
+                    LinearProgressIndicator(Modifier.fillMaxWidth().padding(vertical = 8.dp))
+                }
+                is LoadState.Failed -> Text("Model failed to load: ${s.message}", color = MaterialTheme.colorScheme.error)
+                LoadState.Ready -> {
+                    DiagnosticsRow(stats = stats, verifierState = verifierState, kernel = kernelTierLabel())
+                    Spacer(Modifier.height(8.dp))
+                    EmojiGrid(ranked = ranked, verdicts = verdicts, german = german, queryActive = query.isNotBlank(), modifier = Modifier.fillMaxSize())
+                }
+            }
+        }
+    }
+}
+
+@Composable
+private fun Header(skainetVersion: String, german: Boolean, onLanguage: (Boolean) -> Unit) {
+    Row(Modifier.fillMaxWidth(), horizontalArrangement = Arrangement.SpaceBetween, verticalAlignment = Alignment.CenterVertically) {
+        Column {
+            Text("Semantic Emoji Filter", style = MaterialTheme.typography.headlineSmall)
+            Text(
+                "On-device sentence embeddings rank the catalog as you type; a decision model double-checks the top hits. SKaiNET $skainetVersion",
+                style = MaterialTheme.typography.bodySmall,
+                color = MaterialTheme.colorScheme.onSurfaceVariant,
+            )
+        }
+        Row(horizontalArrangement = Arrangement.spacedBy(6.dp)) {
+            FilterChip(selected = !german, onClick = { onLanguage(false) }, label = { Text("EN") })
+            FilterChip(selected = german, onClick = { onLanguage(true) }, label = { Text("DE") })
+        }
+    }
+    Spacer(Modifier.height(8.dp))
+    PlatformChips()
+}
diff --git a/SemanticEmojiFilter/composeApp/src/jvmMain/kotlin/sk/ainet/samples/emoji/main.kt b/SemanticEmojiFilter/composeApp/src/jvmMain/kotlin/sk/ainet/samples/emoji/main.kt
new file mode 100644
index 0000000..567c3ec
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/jvmMain/kotlin/sk/ainet/samples/emoji/main.kt
@@ -0,0 +1,28 @@
+package sk.ainet.samples.emoji
+
+import androidx.compose.runtime.remember
+import androidx.compose.ui.unit.dp
+import androidx.compose.ui.window.Window
+import androidx.compose.ui.window.application
+import androidx.compose.ui.window.rememberWindowState
+import sk.ainet.samples.emoji.engine.LeafEmbeddingEngine
+import sk.ainet.samples.emoji.model.DesktopLeafProvider
+import sk.ainet.samples.emoji.vm.EmojiSearchViewModel
+
+fun main() = application {
+    Window(onCloseRequest = ::exitApplication, title = "SKaiNET Semantic Emoji Filter", state = rememberWindowState(width = 1100.dp, height = 800.dp)) {
+        val viewModel = remember {
+            val calibration = kotlinx.coroutines.runBlocking { CatalogResources.calibration() }
+            EmojiSearchViewModel(
+                loadEngine = { onProgress ->
+                    val source = DesktopLeafProvider().resolve(onProgress)
+                    LeafEmbeddingEngine.load(source, onProgress = onProgress)
+                },
+                loadIndex = { engine, onProgress -> CatalogResources.index(CatalogResources.catalog(), engine, onProgress = onProgress) },
+                calibration = calibration,
+                verifier = createVerifier(),
+            )
+        }
+        App(viewModel = viewModel, skainetVersion = SKAINET_VERSION)
+    }
+}
diff --git a/SemanticEmojiFilter/composeApp/src/jvmNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt b/SemanticEmojiFilter/composeApp/src/jvmNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
new file mode 100644
index 0000000..1c99b8a
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/jvmNoVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
@@ -0,0 +1,7 @@
+package sk.ainet.samples.emoji
+
+import sk.ainet.samples.emoji.verify.NoopVerifier
+import sk.ainet.samples.emoji.verify.Verifier
+
+/** Built without `-PlayaVerifier=true`: the second stage is off. */
+fun createVerifier(): Verifier = NoopVerifier("build with -PlayaVerifier=true")
diff --git a/SemanticEmojiFilter/composeApp/src/jvmVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt b/SemanticEmojiFilter/composeApp/src/jvmVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
new file mode 100644
index 0000000..c7a6c02
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/jvmVerifier/kotlin/sk/ainet/samples/emoji/VerifierFactory.kt
@@ -0,0 +1,8 @@
+package sk.ainet.samples.emoji
+
+import sk.ainet.samples.emoji.verify.Verifier
+import sk.ainet.samples.emoji.verifier.LayaVerifier
+import sk.ainet.samples.emoji.verifier.layaDesktopSource
+
+/** Built with `-PlayaVerifier=true`: Laya loads lazily on the first stable query. */
+fun createVerifier(): Verifier = LayaVerifier(layaDesktopSource())
diff --git a/SemanticEmojiFilter/composeApp/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/main.kt b/SemanticEmojiFilter/composeApp/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/main.kt
new file mode 100644
index 0000000..6256bc9
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/main.kt
@@ -0,0 +1,45 @@
+package sk.ainet.samples.emoji
+
+import androidx.compose.runtime.remember
+import androidx.compose.ui.ExperimentalComposeUiApi
+import androidx.compose.ui.window.ComposeViewport
+import kotlinx.browser.document
+import org.jetbrains.compose.resources.ExperimentalResourceApi
+import semanticemojifilter.composeapp.generated.resources.Res
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.engine.LeafEmbeddingEngine
+import sk.ainet.samples.emoji.engine.LeafFiles
+import sk.ainet.samples.emoji.engine.LeafSource
+import sk.ainet.samples.emoji.vm.EmojiSearchViewModel
+
+/**
+ * The web build has no filesystem: the checkpoint is bundled as Compose resources (see
+ * scripts/fetch-model.sh) and read into memory once. The catalog embeddings are the shipped
+ * precomputed file, so the page is interactive right after the encoder is built.
+ */
+@OptIn(ExperimentalComposeUiApi::class, ExperimentalResourceApi::class)
+fun main() {
+    ComposeViewport(document.body!!) {
+        val viewModel = remember {
+            EmojiSearchViewModel(
+                loadEngine = { onProgress ->
+                    onProgress("Fetching the LEAF checkpoint (~92 MB)…")
+                    val source = LeafSource.Bytes(
+                        model = Res.readBytes("files/leaf/${LeafFiles.MODEL}"),
+                        denseModel = Res.readBytes("files/leaf/${LeafFiles.DENSE_MODEL}"),
+                        configJson = Res.readBytes("files/leaf/${LeafFiles.CONFIG}").decodeToString(),
+                        denseConfigJson = Res.readBytes("files/leaf/${LeafFiles.DENSE_CONFIG}").decodeToString(),
+                        poolingConfigJson = Res.readBytes("files/leaf/${LeafFiles.POOLING_CONFIG}").decodeToString(),
+                        tokenizerJson = Res.readBytes("files/leaf/${LeafFiles.TOKENIZER}").decodeToString(),
+                        tokenizerConfigJson = Res.readBytes("files/leaf/${LeafFiles.TOKENIZER_CONFIG}").decodeToString(),
+                    )
+                    LeafEmbeddingEngine.load(source, onProgress = onProgress)
+                },
+                loadIndex = { engine, onProgress -> CatalogResources.index(CatalogResources.catalog(), engine, onProgress = onProgress) },
+                calibration = Calibration.DEFAULT,
+                verifierTopK = 0,
+            )
+        }
+        App(viewModel = viewModel, skainetVersion = SKAINET_VERSION)
+    }
+}
diff --git a/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/app.html b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/app.html
new file mode 100644
index 0000000..79a9f79
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/app.html
@@ -0,0 +1,19 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Semantic Emoji Filter</title>
+    <link type="text/css" rel="stylesheet" href="styles.css">
+    <!-- Compose's Wasm/Skiko canvas needs cross-origin isolation (SharedArrayBuffer) for its
+         multi-threaded renderer. GitHub Pages can't set the COOP/COEP response headers that
+         provides, so this shim sets them client-side instead — registers a service worker on
+         first load (which triggers one reload), then every load after that is isolated.
+         wasmJsBrowserDevelopmentRun's own dev server sets these headers natively and is
+         unaffected either way. See THIRD_PARTY_LICENSES/NOTICE. -->
+    <script src="coi-serviceworker.js"></script>
+    <script type="application/javascript" src="composeApp.js"></script>
+</head>
+<body>
+</body>
+</html>
diff --git a/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/coi-serviceworker.js b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/coi-serviceworker.js
new file mode 100644
index 0000000..9901474
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/coi-serviceworker.js
@@ -0,0 +1,146 @@
+/*! coi-serviceworker v0.1.7 - Guido Zuidhof and contributors, licensed under MIT */
+let coepCredentialless = false;
+if (typeof window === 'undefined') {
+    self.addEventListener("install", () => self.skipWaiting());
+    self.addEventListener("activate", (event) => event.waitUntil(self.clients.claim()));
+
+    self.addEventListener("message", (ev) => {
+        if (!ev.data) {
+            return;
+        } else if (ev.data.type === "deregister") {
+            self.registration
+                .unregister()
+                .then(() => {
+                    return self.clients.matchAll();
+                })
+                .then(clients => {
+                    clients.forEach((client) => client.navigate(client.url));
+                });
+        } else if (ev.data.type === "coepCredentialless") {
+            coepCredentialless = ev.data.value;
+        }
+    });
+
+    self.addEventListener("fetch", function (event) {
+        const r = event.request;
+        if (r.cache === "only-if-cached" && r.mode !== "same-origin") {
+            return;
+        }
+
+        const request = (coepCredentialless && r.mode === "no-cors")
+            ? new Request(r, {
+                credentials: "omit",
+            })
+            : r;
+        event.respondWith(
+            fetch(request)
+                .then((response) => {
+                    if (response.status === 0) {
+                        return response;
+                    }
+
+                    const newHeaders = new Headers(response.headers);
+                    newHeaders.set("Cross-Origin-Embedder-Policy",
+                        coepCredentialless ? "credentialless" : "require-corp"
+                    );
+                    if (!coepCredentialless) {
+                        newHeaders.set("Cross-Origin-Resource-Policy", "cross-origin");
+                    }
+                    newHeaders.set("Cross-Origin-Opener-Policy", "same-origin");
+
+                    return new Response(response.body, {
+                        status: response.status,
+                        statusText: response.statusText,
+                        headers: newHeaders,
+                    });
+                })
+                .catch((e) => console.error(e))
+        );
+    });
+
+} else {
+    (() => {
+        const reloadedBySelf = window.sessionStorage.getItem("coiReloadedBySelf");
+        window.sessionStorage.removeItem("coiReloadedBySelf");
+        const coepDegrading = (reloadedBySelf == "coepdegrade");
+
+        // You can customize the behavior of this script through a global `coi` variable.
+        const coi = {
+            shouldRegister: () => !reloadedBySelf,
+            shouldDeregister: () => false,
+            coepCredentialless: () => true,
+            coepDegrade: () => true,
+            doReload: () => window.location.reload(),
+            quiet: false,
+            ...window.coi
+        };
+
+        const n = navigator;
+        const controlling = n.serviceWorker && n.serviceWorker.controller;
+
+        // Record the failure if the page is served by serviceWorker.
+        if (controlling && !window.crossOriginIsolated) {
+            window.sessionStorage.setItem("coiCoepHasFailed", "true");
+        }
+        const coepHasFailed = window.sessionStorage.getItem("coiCoepHasFailed");
+
+        if (controlling) {
+            // Reload only on the first failure.
+            const reloadToDegrade = coi.coepDegrade() && !(
+                coepDegrading || window.crossOriginIsolated
+            );
+            n.serviceWorker.controller.postMessage({
+                type: "coepCredentialless",
+                value: (reloadToDegrade || coepHasFailed && coi.coepDegrade())
+                    ? false
+                    : coi.coepCredentialless(),
+            });
+            if (reloadToDegrade) {
+                !coi.quiet && console.log("Reloading page to degrade COEP.");
+                window.sessionStorage.setItem("coiReloadedBySelf", "coepdegrade");
+                coi.doReload("coepdegrade");
+            }
+
+            if (coi.shouldDeregister()) {
+                n.serviceWorker.controller.postMessage({ type: "deregister" });
+            }
+        }
+
+        // If we're already coi: do nothing. Perhaps it's due to this script doing its job, or COOP/COEP are
+        // already set from the origin server. Also if the browser has no notion of crossOriginIsolated, just give up here.
+        if (window.crossOriginIsolated !== false || !coi.shouldRegister()) return;
+
+        if (!window.isSecureContext) {
+            !coi.quiet && console.log("COOP/COEP Service Worker not registered, a secure context is required.");
+            return;
+        }
+
+        // In some environments (e.g. Firefox private mode) this won't be available
+        if (!n.serviceWorker) {
+            !coi.quiet && console.error("COOP/COEP Service Worker not registered, perhaps due to private mode.");
+            return;
+        }
+
+        n.serviceWorker.register(window.document.currentScript.src).then(
+            (registration) => {
+                !coi.quiet && console.log("COOP/COEP Service Worker registered", registration.scope);
+
+                registration.addEventListener("updatefound", () => {
+                    !coi.quiet && console.log("Reloading page to make use of updated COOP/COEP Service Worker.");
+                    window.sessionStorage.setItem("coiReloadedBySelf", "updatefound");
+                    coi.doReload();
+                });
+
+                // If the registration is active, but it's not controlling the page
+                if (registration.active && !n.serviceWorker.controller) {
+                    !coi.quiet && console.log("Reloading page to make use of COOP/COEP Service Worker.");
+                    window.sessionStorage.setItem("coiReloadedBySelf", "notcontrolling");
+                    coi.doReload();
+                }
+            },
+            (err) => {
+                !coi.quiet && console.error("COOP/COEP Service Worker failed to register:", err);
+            }
+        );
+    })();
+}
diff --git a/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/index.html b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/index.html
new file mode 100644
index 0000000..0a91300
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/index.html
@@ -0,0 +1,222 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>Semantic Emoji Filter - SKaiNET Examples</title>
+  <link rel="preconnect" href="https://fonts.googleapis.com">
+  <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+  <link href="https://fonts.googleapis.com/css2?family=Orbitron:wght@400;500;600;700&family=Inter:wght@300;400;500&display=swap" rel="stylesheet">
+  <!-- The embedded app.html iframe needs cross-origin isolation (SharedArrayBuffer) for
+       Compose's Wasm/Skiko multi-threaded renderer, but isolation is scoped to the whole
+       browsing context group: an iframe can only be isolated if its top-level document is
+       isolated too, regardless of what app.html itself does. This portal page IS that
+       top-level document, so it needs the same coi-serviceworker shim. See THIRD_PARTY_LICENSES/NOTICE. -->
+  <script src="coi-serviceworker.js"></script>
+  <style>
+    :root {
+      --background: 220 20% 4%;
+      --foreground: 0 0% 95%;
+      --primary: 0 72% 51%;
+      --primary-foreground: 0 0% 100%;
+      --muted: 220 15% 12%;
+      --muted-foreground: 220 10% 50%;
+      --border: 220 15% 18%;
+      --radius: 0.5rem;
+    }
+    .light {
+      --background: 0 0% 98%;
+      --foreground: 220 20% 10%;
+      --muted: 220 15% 95%;
+      --muted-foreground: 220 10% 45%;
+      --border: 220 15% 88%;
+    }
+    *, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
+    html, body { height: 100%; }
+    body {
+      font-family: 'Inter', sans-serif;
+      background-color: hsl(var(--background));
+      color: hsl(var(--foreground));
+      display: flex;
+      flex-direction: column;
+    }
+    .font-orbitron { font-family: 'Orbitron', sans-serif; }
+    .header {
+      border-bottom: 1px solid hsl(var(--border) / 0.5);
+      background-color: hsl(var(--background));
+      flex-shrink: 0;
+    }
+    .header-content {
+      max-width: 1400px;
+      margin: 0 auto;
+      display: flex;
+      align-items: center;
+      justify-content: space-between;
+      padding: 0.75rem 1rem;
+      gap: 1rem;
+      flex-wrap: wrap;
+    }
+    .header-left {
+      display: flex;
+      align-items: center;
+      gap: 1rem;
+    }
+    .header-right {
+      display: flex;
+      align-items: center;
+      gap: 0.5rem;
+      flex-wrap: wrap;
+    }
+    .logo-link {
+      display: flex;
+      align-items: center;
+      gap: 0.5rem;
+      text-decoration: none;
+    }
+    .logo-link:hover { opacity: 0.8; }
+    .logo-img { height: 2rem; width: auto; }
+    .logo-text { font-size: 1.1rem; font-weight: 700; color: hsl(var(--foreground)); }
+    .logo-text .highlight { color: hsl(var(--primary)); }
+    .divider {
+      width: 1px;
+      height: 1.5rem;
+      background-color: hsl(var(--border));
+      margin: 0 0.25rem;
+    }
+    .app-title {
+      font-size: 1rem;
+      font-weight: 500;
+      color: hsl(var(--muted-foreground));
+    }
+    .btn {
+      display: inline-flex;
+      align-items: center;
+      justify-content: center;
+      gap: 0.375rem;
+      padding: 0.5rem 0.875rem;
+      min-height: 36px;
+      font-size: 0.8125rem;
+      font-weight: 500;
+      border-radius: var(--radius);
+      cursor: pointer;
+      transition: all 0.2s;
+      text-decoration: none;
+      border: none;
+      white-space: nowrap;
+    }
+    .btn-ghost {
+      background: transparent;
+      color: hsl(var(--foreground));
+    }
+    .btn-ghost:hover { background-color: hsl(var(--muted)); }
+    .btn-outline {
+      background: transparent;
+      border: 1px solid hsl(var(--border));
+      color: hsl(var(--foreground));
+    }
+    .btn-outline:hover { background-color: hsl(var(--muted)); }
+    .icon { width: 0.875rem; height: 0.875rem; }
+    .app-frame {
+      flex: 1;
+      border: none;
+      width: 100%;
+      background: white;
+    }
+    .footer {
+      border-top: 1px solid hsl(var(--border) / 0.5);
+      padding: 0.75rem 1rem;
+      text-align: center;
+      font-size: 0.75rem;
+      color: hsl(var(--muted-foreground));
+      flex-shrink: 0;
+    }
+    .theme-toggle {
+      position: fixed;
+      bottom: 1rem;
+      right: 1rem;
+      z-index: 50;
+    }
+    .theme-toggle-btn {
+      display: flex;
+      align-items: center;
+      justify-content: center;
+      width: 2.25rem;
+      height: 2.25rem;
+      border-radius: 50%;
+      border: 1px solid hsl(var(--border));
+      background-color: hsl(var(--background));
+      color: hsl(var(--foreground));
+      cursor: pointer;
+      transition: all 0.2s;
+    }
+    .theme-toggle-btn:hover { background-color: hsl(var(--muted)); }
+    @media (max-width: 600px) {
+      .header-content { padding: 0.5rem 0.75rem; }
+      .divider { display: none; }
+      .app-title { display: none; }
+      .btn { padding: 0.4rem 0.6rem; font-size: 0.75rem; min-height: 32px; }
+    }
+  </style>
+</head>
+<body>
+  <div class="theme-toggle">
+    <button class="theme-toggle-btn" onclick="toggleTheme()" aria-label="Toggle theme">
+      <svg xmlns="http://www.w3.org/2000/svg" width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+        <circle cx="12" cy="12" r="4"></circle>
+        <path d="M12 2v2"></path><path d="M12 20v2"></path>
+        <path d="m4.93 4.93 1.41 1.41"></path><path d="m17.66 17.66 1.41 1.41"></path>
+        <path d="M2 12h2"></path><path d="M20 12h2"></path>
+        <path d="m6.34 17.66-1.41 1.41"></path><path d="m19.07 4.93-1.41 1.41"></path>
+      </svg>
+    </button>
+  </div>
+
+  <header class="header">
+    <div class="header-content">
+      <div class="header-left">
+        <a href="https://skainet.sk" class="logo-link">
+          <img src="logo.png" alt="SKaiNET" class="logo-img">
+          <span class="font-orbitron logo-text">SK<span class="highlight">ai</span>NET</span>
+        </a>
+        <div class="divider"></div>
+        <span class="app-title">Semantic Emoji Filter</span>
+      </div>
+      <div class="header-right">
+        <a href="https://github.com/SKaiNET-developers/SKaiNET-examples/tree/develop/SemanticEmojiFilter" class="btn btn-outline" target="_blank" rel="noopener noreferrer">
+          <svg class="icon" xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+            <path d="M15 22v-4a4.8 4.8 0 0 0-1-3.5c3 0 6-2 6-5.5.08-1.25-.27-2.48-1-3.5.28-1.15.28-2.35 0-3.5 0 0-1 0-3 1.5-2.64-.5-5.36-.5-8 0C6 2 5 2 5 2c-.3 1.15-.3 2.35 0 3.5A5.403 5.403 0 0 0 4 9c0 3.5 3 5.5 6 5.5-.39.49-.68 1.05-.85 1.65-.17.6-.22 1.23-.15 1.85v4"></path>
+            <path d="M9 18c-4.51 2-5-2-7-2"></path>
+          </svg>
+          Source
+        </a>
+        <a href="https://examples.skainet.sk" class="btn btn-ghost">
+          <svg class="icon" xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+            <path d="m12 19-7-7 7-7"></path>
+            <path d="M19 12H5"></path>
+          </svg>
+          All Examples
+        </a>
+      </div>
+    </div>
+  </header>
+
+  <iframe src="app.html" class="app-frame" title="Semantic Emoji Filter" allow="cross-origin-isolated"></iframe>
+
+  <footer class="footer">
+    MIT License &middot; SKaiNET-developers &middot;
+    ~92 MB encoder download on first load (MongoDB LEAF, Apache-2.0) — the Laya decision model (second stage) runs on Desktop and Android only.
+  </footer>
+
+  <script>
+    function toggleTheme() {
+      document.documentElement.classList.toggle('light');
+      localStorage.setItem('theme', document.documentElement.classList.contains('light') ? 'light' : 'dark');
+    }
+    (function() {
+      if (localStorage.getItem('theme') === 'light') {
+        document.documentElement.classList.add('light');
+      }
+    })();
+  </script>
+</body>
+</html>
diff --git a/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/logo.png b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/logo.png
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HcmV?d00001

diff --git a/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/styles.css b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/styles.css
new file mode 100644
index 0000000..8e94d43
--- /dev/null
+++ b/SemanticEmojiFilter/composeApp/src/wasmJsMain/resources/styles.css
@@ -0,0 +1,7 @@
+html, body {
+    width: 100%;
+    height: 100%;
+    margin: 0;
+    padding: 0;
+    overflow: hidden;
+}
diff --git a/SemanticEmojiFilter/gradle.properties b/SemanticEmojiFilter/gradle.properties
new file mode 100644
index 0000000..4a47f07
--- /dev/null
+++ b/SemanticEmojiFilter/gradle.properties
@@ -0,0 +1,12 @@
+kotlin.code.style=official
+
+#Gradle
+org.gradle.jvmargs=-Xmx6g -XX:MaxMetaspaceSize=1536m -Dfile.encoding=UTF-8
+kotlin.daemon.jvmargs=-Xmx4g
+
+#Android
+android.nonTransitiveRClass=true
+android.useAndroidX=true
+
+#Kotlin Multiplatform
+kotlin.mpp.enableCInteropCommonization=true
diff --git a/SemanticEmojiFilter/gradle/libs.versions.toml b/SemanticEmojiFilter/gradle/libs.versions.toml
new file mode 100644
index 0000000..ee10991
--- /dev/null
+++ b/SemanticEmojiFilter/gradle/libs.versions.toml
@@ -0,0 +1,67 @@
+[versions]
+agp = "9.3.1"
+android-compileSdk = "37"
+android-minSdk = "24"
+android-targetSdk = "37"
+androidx-activityCompose = "1.13.0"
+androidx-lifecycle = "2.11.0"
+# Must match the shared :skainet-ui design system's own pin (included build) — a mismatch
+# pulls two Skiko versions onto the desktop classpath, which crashes with
+# UnsatisfiedLinkError (getAdapterMaxTextureSize) at first render on macOS/Metal.
+composeMultiplatform = "1.11.1"
+kotlin = "2.4.10"
+kotlinx-coroutines = "1.11.0"
+kotlinxIo = "0.9.1"
+# The transformers 0.58.0 pin; the catalog JSON and calibration files are read with it.
+kotlinxSerialization = "1.11.0"
+# Engine and transformers released in lock-step; the bert encoder, the SafeTensors reader and
+# the engine tokenizers (WordPiece for LEAF) all come from these two BOMs.
+skainet = "0.58.0"
+skainet-transformers = "0.58.0"
+# The typed-decision contract, runtime and the Laya adapter are on transformers `develop` and
+# ship with 0.59.0. Until then the verifier (-PlayaVerifier=true) resolves them from a local
+# publish; move the three coordinates under the BOM when 0.59.0 is on Maven Central.
+skainet-transformers-decisions = "0.59.0-SNAPSHOT"
+
+[libraries]
+kotlin-test = { module = "org.jetbrains.kotlin:kotlin-test", version.ref = "kotlin" }
+androidx-activity-compose = { module = "androidx.activity:activity-compose", version.ref = "androidx-activityCompose" }
+compose-uiTooling = { module = "org.jetbrains.compose.ui:ui-tooling", version.ref = "composeMultiplatform" }
+androidx-lifecycle-viewmodel = { module = "org.jetbrains.androidx.lifecycle:lifecycle-viewmodel", version.ref = "androidx-lifecycle" }
+androidx-lifecycle-viewmodelCompose = { module = "org.jetbrains.androidx.lifecycle:lifecycle-viewmodel-compose", version.ref = "androidx-lifecycle" }
+androidx-lifecycle-runtimeCompose = { module = "org.jetbrains.androidx.lifecycle:lifecycle-runtime-compose", version.ref = "androidx-lifecycle" }
+kotlinx-coroutines = { module = "org.jetbrains.kotlinx:kotlinx-coroutines-core", version.ref = "kotlinx-coroutines" }
+kotlinx-coroutines-test = { module = "org.jetbrains.kotlinx:kotlinx-coroutines-test", version.ref = "kotlinx-coroutines" }
+kotlinx-coroutinesSwing = { module = "org.jetbrains.kotlinx:kotlinx-coroutines-swing", version.ref = "kotlinx-coroutines" }
+kotlinx-io-core = { module = "org.jetbrains.kotlinx:kotlinx-io-core", version.ref = "kotlinxIo" }
+kotlinx-serialization-json = { module = "org.jetbrains.kotlinx:kotlinx-serialization-json", version.ref = "kotlinxSerialization" }
+
+# SKaiNET core — BOM-governed
+skainet-bom = { module = "sk.ainet:skainet-bom", version.ref = "skainet" }
+skainet-lang-core = { module = "sk.ainet.core:skainet-lang-core" }
+skainet-backend-cpu = { module = "sk.ainet.core:skainet-backend-cpu" }
+# Compile-time only on the JVM: PanamaVectorKernelProvider.isAvailable() for the kernel label.
+skainet-backend-api = { module = "sk.ainet.core:skainet-backend-api" }
+# Hand-written ARM NEON kernels — Android JNI only.
+skainet-backend-jni-cpu = { module = "sk.ainet.core:skainet-backend-jni-cpu" }
+skainet-data-source = { module = "sk.ainet.core:skainet-data-source" }
+skainet-io-core = { module = "sk.ainet.core:skainet-io-core" }
+skainet-io-safetensors = { module = "sk.ainet.core:skainet-io-safetensors" }
+skainet-frontend-text = { module = "sk.ainet.core:skainet-frontend-text" }
+
+# SKaiNET-transformers — BOM-governed
+skainet-transformers-bom = { module = "sk.ainet.transformers:skainet-transformers-bom", version.ref = "skainet-transformers" }
+skainet-transformers-inference-bert = { module = "sk.ainet.transformers:skainet-transformers-inference-bert" }
+# Verifier only (see the version comment above)
+skainet-transformers-decisions-api = { module = "sk.ainet.transformers:skainet-transformers-decisions-api", version.ref = "skainet-transformers-decisions" }
+skainet-transformers-decisions-runtime = { module = "sk.ainet.transformers:skainet-transformers-decisions-runtime", version.ref = "skainet-transformers-decisions" }
+skainet-transformers-inference-laya = { module = "sk.ainet.transformers:skainet-transformers-inference-laya", version.ref = "skainet-transformers-decisions" }
+
+[plugins]
+androidApplication = { id = "com.android.application", version.ref = "agp" }
+androidMultiplatformLibrary = { id = "com.android.kotlin.multiplatform.library", version.ref = "agp" }
+composeMultiplatform = { id = "org.jetbrains.compose", version.ref = "composeMultiplatform" }
+composeCompiler = { id = "org.jetbrains.kotlin.plugin.compose", version.ref = "kotlin" }
+kotlinMultiplatform = { id = "org.jetbrains.kotlin.multiplatform", version.ref = "kotlin" }
+kotlinJvm = { id = "org.jetbrains.kotlin.jvm", version.ref = "kotlin" }
+kotlinSerialization = { id = "org.jetbrains.kotlin.plugin.serialization", version.ref = "kotlin" }
diff --git a/SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.properties b/SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.properties
new file mode 100644
index 0000000..5dd3c01
--- /dev/null
+++ b/SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.properties
@@ -0,0 +1,7 @@
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-9.5.1-bin.zip
+networkTimeout=10000
+validateDistributionUrl=true
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists
diff --git a/SemanticEmojiFilter/gradlew b/SemanticEmojiFilter/gradlew
new file mode 100755
index 0000000..adff685
--- /dev/null
+++ b/SemanticEmojiFilter/gradlew
@@ -0,0 +1,248 @@
+#!/bin/sh
+
+#
+# Copyright © 2015 the original authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+
+##############################################################################
+#
+#   Gradle start up script for POSIX generated by Gradle.
+#
+#   Important for running:
+#
+#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
+#       noncompliant, but you have some other compliant shell such as ksh or
+#       bash, then to run this script, type that shell name before the whole
+#       command line, like:
+#
+#           ksh Gradle
+#
+#       Busybox and similar reduced shells will NOT work, because this script
+#       requires all of these POSIX shell features:
+#         * functions;
+#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
+#           «${var#prefix}», «${var%suffix}», and «$( cmd )»;
+#         * compound commands having a testable exit status, especially «case»;
+#         * various built-in commands including «command», «set», and «ulimit».
+#
+#   Important for patching:
+#
+#   (2) This script targets any POSIX shell, so it avoids extensions provided
+#       by Bash, Ksh, etc; in particular arrays are avoided.
+#
+#       The "traditional" practice of packing multiple parameters into a
+#       space-separated string is a well documented source of bugs and security
+#       problems, so this is (mostly) avoided, by progressively accumulating
+#       options in "$@", and eventually passing that to Java.
+#
+#       Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
+#       and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
+#       see the in-line comments for details.
+#
+#       There are tweaks for specific operating systems such as AIX, CygWin,
+#       Darwin, MinGW, and NonStop.
+#
+#   (3) This script is generated from the Groovy template
+#       https://github.com/gradle/gradle/blob/HEAD/platforms/jvm/plugins-application/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
+#       within the Gradle project.
+#
+#       You can find Gradle at https://github.com/gradle/gradle/.
+#
+##############################################################################
+
+# Attempt to set APP_HOME
+
+# Resolve links: $0 may be a link
+app_path=$0
+
+# Need this for daisy-chained symlinks.
+while
+    APP_HOME=${app_path%"${app_path##*/}"}  # leaves a trailing /; empty if no leading path
+    [ -h "$app_path" ]
+do
+    ls=$( ls -ld "$app_path" )
+    link=${ls#*' -> '}
+    case $link in             #(
+      /*)   app_path=$link ;; #(
+      *)    app_path=$APP_HOME$link ;;
+    esac
+done
+
+# This is normally unused
+# shellcheck disable=SC2034
+APP_BASE_NAME=${0##*/}
+# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036)
+APP_HOME=$( cd -P "${APP_HOME:-./}" > /dev/null && printf '%s\n' "$PWD" ) || exit
+
+# Use the maximum available, or set MAX_FD != -1 to use that value.
+MAX_FD=maximum
+
+warn () {
+    echo "$*"
+} >&2
+
+die () {
+    echo
+    echo "$*"
+    echo
+    exit 1
+} >&2
+
+# OS specific support (must be 'true' or 'false').
+cygwin=false
+msys=false
+darwin=false
+nonstop=false
+case "$( uname )" in                #(
+  CYGWIN* )         cygwin=true  ;; #(
+  Darwin* )         darwin=true  ;; #(
+  MSYS* | MINGW* )  msys=true    ;; #(
+  NONSTOP* )        nonstop=true ;;
+esac
+
+
+
+# Determine the Java command to use to start the JVM.
+if [ -n "$JAVA_HOME" ] ; then
+    if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+        # IBM's JDK on AIX uses strange locations for the executables
+        JAVACMD=$JAVA_HOME/jre/sh/java
+    else
+        JAVACMD=$JAVA_HOME/bin/java
+    fi
+    if [ ! -x "$JAVACMD" ] ; then
+        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+else
+    JAVACMD=java
+    if ! command -v java >/dev/null 2>&1
+    then
+        die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+    fi
+fi
+
+# Increase the maximum file descriptors if we can.
+if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
+    case $MAX_FD in #(
+      max*)
+        # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked.
+        # shellcheck disable=SC2039,SC3045
+        MAX_FD=$( ulimit -H -n ) ||
+            warn "Could not query maximum file descriptor limit"
+    esac
+    case $MAX_FD in  #(
+      '' | soft) :;; #(
+      *)
+        # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked.
+        # shellcheck disable=SC2039,SC3045
+        ulimit -n "$MAX_FD" ||
+            warn "Could not set maximum file descriptor limit to $MAX_FD"
+    esac
+fi
+
+# Collect all arguments for the java command, stacking in reverse order:
+#   * args from the command line
+#   * the main class name
+#   * -classpath
+#   * -D...appname settings
+#   * --module-path (only if needed)
+#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
+
+# For Cygwin or MSYS, switch paths to Windows format before running java
+if "$cygwin" || "$msys" ; then
+    APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
+
+    JAVACMD=$( cygpath --unix "$JAVACMD" )
+
+    # Now convert the arguments - kludge to limit ourselves to /bin/sh
+    for arg do
+        if
+            case $arg in                                #(
+              -*)   false ;;                            # don't mess with options #(
+              /?*)  t=${arg#/} t=/${t%%/*}              # looks like a POSIX filepath
+                    [ -e "$t" ] ;;                      #(
+              *)    false ;;
+            esac
+        then
+            arg=$( cygpath --path --ignore --mixed "$arg" )
+        fi
+        # Roll the args list around exactly as many times as the number of
+        # args, so each arg winds up back in the position where it started, but
+        # possibly modified.
+        #
+        # NB: a `for` loop captures its iteration list before it begins, so
+        # changing the positional parameters here affects neither the number of
+        # iterations, nor the values presented in `arg`.
+        shift                   # remove old arg
+        set -- "$@" "$arg"      # push replacement arg
+    done
+fi
+
+
+# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
+
+# Collect all arguments for the java command:
+#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and optsEnvironmentVar are not allowed to contain shell fragments,
+#     and any embedded shellness will be escaped.
+#   * For example: A user cannot expect ${Hostname} to be expanded, as it is an environment variable and will be
+#     treated as '${Hostname}' itself on the command line.
+
+set -- \
+        "-Dorg.gradle.appname=$APP_BASE_NAME" \
+        -jar "$APP_HOME/gradle/wrapper/gradle-wrapper.jar" \
+        "$@"
+
+# Stop when "xargs" is not available.
+if ! command -v xargs >/dev/null 2>&1
+then
+    die "xargs is not available"
+fi
+
+# Use "xargs" to parse quoted args.
+#
+# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
+#
+# In Bash we could simply go:
+#
+#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
+#   set -- "${ARGS[@]}" "$@"
+#
+# but POSIX shell has neither arrays nor command substitution, so instead we
+# post-process each arg (as a line of input to sed) to backslash-escape any
+# character that might be a shell metacharacter, then use eval to reverse
+# that process (while maintaining the separation between arguments), and wrap
+# the whole thing up as a single "set" statement.
+#
+# This will of course break if any of these variables contains a newline or
+# an unmatched quote.
+#
+
+eval "set -- $(
+        printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
+        xargs -n1 |
+        sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
+        tr '\n' ' '
+    )" '"$@"'
+
+exec "$JAVACMD" "$@"
diff --git a/SemanticEmojiFilter/gradlew.bat b/SemanticEmojiFilter/gradlew.bat
new file mode 100644
index 0000000..e509b2d
--- /dev/null
+++ b/SemanticEmojiFilter/gradlew.bat
@@ -0,0 +1,93 @@
+@rem
+@rem Copyright 2015 the original author or authors.
+@rem
+@rem Licensed under the Apache License, Version 2.0 (the "License");
+@rem you may not use this file except in compliance with the License.
+@rem You may obtain a copy of the License at
+@rem
+@rem      https://www.apache.org/licenses/LICENSE-2.0
+@rem
+@rem Unless required by applicable law or agreed to in writing, software
+@rem distributed under the License is distributed on an "AS IS" BASIS,
+@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+@rem See the License for the specific language governing permissions and
+@rem limitations under the License.
+@rem
+@rem SPDX-License-Identifier: Apache-2.0
+@rem
+
+@if "%DEBUG%"=="" @echo off
+@rem ##########################################################################
+@rem
+@rem  Gradle startup script for Windows
+@rem
+@rem ##########################################################################
+
+@rem Set local scope for the variables with windows NT shell
+if "%OS%"=="Windows_NT" setlocal
+
+set DIRNAME=%~dp0
+if "%DIRNAME%"=="" set DIRNAME=.
+@rem This is normally unused
+set APP_BASE_NAME=%~n0
+set APP_HOME=%DIRNAME%
+
+@rem Resolve any "." and ".." in APP_HOME to make it shorter.
+for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
+
+@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
+
+@rem Find java.exe
+if defined JAVA_HOME goto findJavaFromJavaHome
+
+set JAVA_EXE=java.exe
+%JAVA_EXE% -version >NUL 2>&1
+if %ERRORLEVEL% equ 0 goto execute
+
+echo. 1>&2
+echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. 1>&2
+echo. 1>&2
+echo Please set the JAVA_HOME variable in your environment to match the 1>&2
+echo location of your Java installation. 1>&2
+
+goto fail
+
+:findJavaFromJavaHome
+set JAVA_HOME=%JAVA_HOME:"=%
+set JAVA_EXE=%JAVA_HOME%/bin/java.exe
+
+if exist "%JAVA_EXE%" goto execute
+
+echo. 1>&2
+echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% 1>&2
+echo. 1>&2
+echo Please set the JAVA_HOME variable in your environment to match the 1>&2
+echo location of your Java installation. 1>&2
+
+goto fail
+
+:execute
+@rem Setup the command line
+
+
+
+@rem Execute Gradle
+"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -jar "%APP_HOME%\gradle\wrapper\gradle-wrapper.jar" %*
+
+:end
+@rem End local scope for the variables with windows NT shell
+if %ERRORLEVEL% equ 0 goto mainEnd
+
+:fail
+rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
+rem the _cmd.exe /c_ return code!
+set EXIT_CODE=%ERRORLEVEL%
+if %EXIT_CODE% equ 0 set EXIT_CODE=1
+if not ""=="%GRADLE_EXIT_CONSOLE%" exit %EXIT_CODE%
+exit /b %EXIT_CODE%
+
+:mainEnd
+if "%OS%"=="Windows_NT" endlocal
+
+:omega
diff --git a/SemanticEmojiFilter/scripts/catalog-selection.json b/SemanticEmojiFilter/scripts/catalog-selection.json
new file mode 100644
index 0000000..54bc2cc
--- /dev/null
+++ b/SemanticEmojiFilter/scripts/catalog-selection.json
@@ -0,0 +1,1580 @@
+[
+  {
+    "cp": "1F957",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F34E",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F966",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F955",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F34C",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F347",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F353",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F951",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F345",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F952",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F34A",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F34B",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F349",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F96C",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F360",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F95C",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F95B",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1FAD0",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F95D",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F352",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F351",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F350",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F33D",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F954",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F363",
+    "group": "food-healthy",
+    "tags": [
+      "food",
+      "healthy"
+    ]
+  },
+  {
+    "cp": "1F355",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F354",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F35F",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F32D",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F369",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F36A",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F382",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F370",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F9C1",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F36B",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F36C",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F36D",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F366",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F37F",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F953",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F9C0",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F32E",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
+    ]
+  },
+  {
+    "cp": "1F950",
+    "group": "food-indulgent",
+    "tags": [
+      "food",
+      "indulgent"
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+  },
+  {
+    "cp": "231A",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F4F7",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F511",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F512",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F4DA",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "270F-FE0F",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F4CE",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F4A1",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F527",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F528",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F4B0",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F381",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F388",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "23F0",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F4C5",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F5D1-FE0F",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F9F9",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F6D2",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F3AE",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F3B2",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F9E9",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F3E0",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F6BF",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  },
+  {
+    "cp": "1F6CF-FE0F",
+    "group": "objects",
+    "tags": [
+      "object",
+      "everyday"
+    ]
+  }
+]
\ No newline at end of file
diff --git a/SemanticEmojiFilter/scripts/fetch-model.sh b/SemanticEmojiFilter/scripts/fetch-model.sh
new file mode 100755
index 0000000..773028a
--- /dev/null
+++ b/SemanticEmojiFilter/scripts/fetch-model.sh
@@ -0,0 +1,55 @@
+#!/usr/bin/env bash
+# Downloads the MongoDB LEAF retrieval encoder (mdbr-leaf-ir, Apache-2.0) at a pinned revision
+# into a directory laid out exactly as on the Hugging Face Hub. Default target: the wasm
+# Compose resources, so the web build bundles the checkpoint (~92 MB). Desktop and Android
+# download the same files at runtime into their own cache instead.
+#
+#   scripts/fetch-model.sh [target-dir]
+set -euo pipefail
+
+REPO="MongoDB/mdbr-leaf-ir"
+REVISION="4262131b32c3182bd06e67e92ae69d7bd66e0c5c"
+FILES=(
+  "model.safetensors"
+  "config.json"
+  "tokenizer.json"
+  "tokenizer_config.json"
+  "2_Dense/model.safetensors"
+  "2_Dense/config.json"
+  "1_Pooling/config.json"
+)
+MIN_MODEL_BYTES=$((80 * 1024 * 1024))
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+TARGET="${1:-$SCRIPT_DIR/../composeApp/src/wasmJsMain/composeResources/files/leaf}"
+mkdir -p "$TARGET"
+
+# A local copy (the desktop/CLI cache, or $LEAF_MODEL_DIR) is reused instead of downloading twice.
+LOCAL="${LEAF_MODEL_DIR:-$HOME/.skainet-examples/semantic-emoji-filter/leaf}"
+
+for f in "${FILES[@]}"; do
+  out="$TARGET/$f"
+  if [[ ! -s "$out" && -s "$LOCAL/$f" && "$LOCAL" != "$TARGET" ]]; then
+    mkdir -p "$(dirname "$out")"
+    cp "$LOCAL/$f" "$out"
+    echo "fetch-model: $f copied from $LOCAL"
+    continue
+  fi
+  if [[ -s "$out" ]]; then
+    if [[ "$f" != "model.safetensors" || $(stat -c %s "$out" 2>/dev/null || stat -f %z "$out") -ge $MIN_MODEL_BYTES ]]; then
+      echo "fetch-model: $f present, skipping"
+      continue
+    fi
+  fi
+  mkdir -p "$(dirname "$out")"
+  echo "fetch-model: downloading $f"
+  curl -fL --retry 3 "https://huggingface.co/$REPO/resolve/$REVISION/$f" -o "$out.part"
+  mv "$out.part" "$out"
+done
+
+size=$(stat -c %s "$TARGET/model.safetensors" 2>/dev/null || stat -f %z "$TARGET/model.safetensors")
+if (( size < MIN_MODEL_BYTES )); then
+  echo "fetch-model: model.safetensors is only $size bytes — download incomplete" >&2
+  exit 1
+fi
+echo "fetch-model: LEAF checkpoint ready in $TARGET"
diff --git a/SemanticEmojiFilter/scripts/generate-catalog.py b/SemanticEmojiFilter/scripts/generate-catalog.py
new file mode 100644
index 0000000..6c25481
--- /dev/null
+++ b/SemanticEmojiFilter/scripts/generate-catalog.py
@@ -0,0 +1,108 @@
+#!/usr/bin/env python3
+"""Builds catalog.json from Unicode CLDR emoji annotations and the curated selection.
+
+    python3 -I scripts/generate-catalog.py --cldr <dir> --selection scripts/catalog-selection.json \
+        --out composeApp/src/commonMain/composeResources/files/catalog/catalog.json
+
+<dir> holds the CLDR files common/annotations/{en,de}.xml and common/annotationsDerived/{en,de}.xml
+of one release (default names: annotations_en.xml, annotations_de.xml, annotationsDerived_en.xml,
+annotationsDerived_de.xml). Names come from the `tts` annotation, keywords from the plain one.
+The script fails on a missing annotation or a duplicate id, so the catalog is always complete.
+"""
+import argparse
+import json
+import sys
+import xml.etree.ElementTree as ET
+
+VS16 = "️"
+
+
+def load_annotations(path):
+    names, keywords = {}, {}
+    root = ET.parse(path).getroot()
+    for node in root.iter("annotation"):
+        cp = node.get("cp", "").replace(VS16, "")
+        text = (node.text or "").strip()
+        if node.get("type") == "tts":
+            names[cp] = text
+        else:
+            keywords[cp] = [k.strip() for k in text.split("|") if k.strip()]
+    return names, keywords
+
+
+def merge(a, b):
+    out = dict(a)
+    out.update(b)
+    return out
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--cldr", required=True)
+    ap.add_argument("--cldr-release", default="47")
+    ap.add_argument("--selection", required=True)
+    ap.add_argument("--out", required=True)
+    ap.add_argument("--embedding-text-version", type=int, default=1)
+    args = ap.parse_args()
+
+    en_names, en_kw = load_annotations(f"{args.cldr}/annotations_en.xml")
+    de_names, de_kw = load_annotations(f"{args.cldr}/annotations_de.xml")
+    den, dek = load_annotations(f"{args.cldr}/annotationsDerived_en.xml")
+    ddn, ddk = load_annotations(f"{args.cldr}/annotationsDerived_de.xml")
+    en_names, en_kw = merge(en_names, den), merge(en_kw, dek)
+    de_names, de_kw = merge(de_names, ddn), merge(de_kw, ddk)
+
+    with open(args.selection, encoding="utf-8") as f:
+        selection = json.load(f)
+
+    items, seen, errors = [], set(), []
+    for entry in selection:
+        cps = [int(h, 16) for h in entry["cp"].split("-")]
+        emoji = "".join(chr(c) for c in cps)
+        key = emoji.replace(VS16, "")
+        item_id = "-".join(f"{c:04X}" for c in cps if c != 0xFE0F)
+        if item_id in seen:
+            errors.append(f"duplicate id {item_id}")
+            continue
+        seen.add(item_id)
+        if key not in en_names or key not in de_names:
+            errors.append(f"{item_id} ({emoji}): no CLDR name in {'en' if key not in en_names else 'de'}")
+            continue
+        items.append({
+            "id": item_id,
+            "emoji": emoji,
+            "nameEn": en_names[key],
+            "nameDe": de_names[key],
+            "keywordsEn": en_kw.get(key, []),
+            "keywordsDe": de_kw.get(key, []),
+            "tags": entry.get("tags", []),
+            "group": entry.get("group", ""),
+        })
+
+    if errors:
+        print("\n".join(errors), file=sys.stderr)
+        sys.exit(1)
+
+    catalog = {
+        "version": 1,
+        "cldr": args.cldr_release,
+        "embeddingTextVersion": args.embedding_text_version,
+        "embeddingsSha256": "",
+        "items": items,
+    }
+    # Keep an existing digest if the items did not change (the CLI writes it after embedding).
+    try:
+        with open(args.out, encoding="utf-8") as f:
+            previous = json.load(f)
+        if previous.get("items") == items and previous.get("embeddingTextVersion") == args.embedding_text_version:
+            catalog["embeddingsSha256"] = previous.get("embeddingsSha256", "")
+    except (OSError, ValueError):
+        pass
+    with open(args.out, "w", encoding="utf-8") as f:
+        json.dump(catalog, f, ensure_ascii=False, indent=2)
+        f.write("\n")
+    print(f"catalog: {len(items)} items -> {args.out}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/SemanticEmojiFilter/settings.gradle.kts b/SemanticEmojiFilter/settings.gradle.kts
new file mode 100644
index 0000000..f7e2707
--- /dev/null
+++ b/SemanticEmojiFilter/settings.gradle.kts
@@ -0,0 +1,47 @@
+rootProject.name = "SemanticEmojiFilter"
+enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
+
+// Opt-in second stage: the Laya decision model as a verifier behind the embedding filter.
+// It needs the SKaiNET-transformers `decisions` and `laya` modules, which ship with 0.59.0;
+// until then they come from a local publish (`publishToMavenLocal` as 0.59.0-SNAPSHOT).
+val layaVerifier = providers.gradleProperty("layaVerifier").orNull == "true"
+
+pluginManagement {
+    repositories {
+        google {
+            mavenContent {
+                includeGroupAndSubgroups("androidx")
+                includeGroupAndSubgroups("com.android")
+                includeGroupAndSubgroups("com.google")
+            }
+        }
+        mavenCentral()
+        gradlePluginPortal()
+    }
+}
+
+dependencyResolutionManagement {
+    repositories {
+        google {
+            mavenContent {
+                includeGroupAndSubgroups("androidx")
+                includeGroupAndSubgroups("com.android")
+                includeGroupAndSubgroups("com.google")
+            }
+        }
+        if (layaVerifier) {
+            mavenLocal { content { includeGroupByRegex("sk\\.ainet(\\..*)?") } }
+        }
+        mavenCentral()
+    }
+}
+
+// Shared SKaiNET design system (theme + components), consumed as an included build like the
+// sibling examples.
+includeBuild("../skainet-ui")
+
+include(":androidApp")
+include(":composeApp")
+include(":shared")
+include(":cli")
+if (layaVerifier) include(":verifier")
diff --git a/SemanticEmojiFilter/shared/build.gradle.kts b/SemanticEmojiFilter/shared/build.gradle.kts
new file mode 100644
index 0000000..4def24d
--- /dev/null
+++ b/SemanticEmojiFilter/shared/build.gradle.kts
@@ -0,0 +1,91 @@
+import org.jetbrains.kotlin.gradle.ExperimentalWasmDsl
+import org.jetbrains.kotlin.gradle.dsl.JvmTarget
+
+plugins {
+    alias(libs.plugins.kotlinMultiplatform)
+    alias(libs.plugins.androidMultiplatformLibrary)
+    alias(libs.plugins.kotlinSerialization)
+}
+
+kotlin {
+    jvmToolchain(21)
+
+    android {
+        namespace = "sk.ainet.samples.emoji.shared"
+        compileSdk = libs.versions.android.compileSdk.get().toInt()
+        minSdk = libs.versions.android.minSdk.get().toInt()
+
+        compilerOptions {
+            jvmTarget.set(JvmTarget.JVM_21)
+        }
+
+        // Runs commonTest on the JVM against Android stubs (testAndroidHostTest) — CI relies on it.
+        withHostTest {}
+    }
+
+    jvm()
+
+    // No iOS: the bert, laya and decisions modules of SKaiNET-transformers publish no Apple targets.
+    @OptIn(ExperimentalWasmDsl::class)
+    wasmJs {
+        browser()
+    }
+
+    sourceSets {
+        commonMain.dependencies {
+            implementation(libs.kotlinx.coroutines)
+            implementation(libs.kotlinx.io.core)
+            implementation(libs.kotlinx.serialization.json)
+            implementation(libs.androidx.lifecycle.viewmodel)
+
+            // SKaiNET core. BOM applied via api() so its version constraints also reach the
+            // composeApp / cli classpaths, which construct the execution context themselves.
+            api(project.dependencies.platform(libs.skainet.bom))
+            api(libs.skainet.lang.core)
+            api(libs.skainet.backend.cpu)
+            api(libs.skainet.io.core)
+            api(libs.skainet.io.safetensors)
+            api(libs.skainet.frontend.text)
+
+            // SKaiNET-transformers: the BERT encoder runtime (mean pooling + 2_Dense projection).
+            api(project.dependencies.platform(libs.skainet.transformers.bom))
+            api(libs.skainet.transformers.inference.bert)
+        }
+        // Desktop and Android share the file-based checkpoint download (both are JVM code).
+        val jvmAndroidMain by creating {
+            dependsOn(commonMain.get())
+            dependencies {
+                // Streamed download of the checkpoint files from the Hugging Face Hub.
+                implementation(libs.skainet.data.source)
+            }
+        }
+        jvmMain {
+            dependsOn(jvmAndroidMain)
+            dependencies {
+                // PanamaVectorKernelProvider.isAvailable() for the kernel-tier label.
+                implementation(libs.skainet.backend.api)
+            }
+        }
+        androidMain {
+            dependsOn(jvmAndroidMain)
+            dependencies {
+                // Hand-written ARM NEON kernels, dispatched at runtime.
+                implementation(libs.skainet.backend.jni.cpu)
+            }
+        }
+        commonTest.dependencies {
+            implementation(libs.kotlin.test)
+            implementation(libs.kotlinx.coroutines.test)
+        }
+    }
+}
+
+tasks.withType<Test>().configureEach {
+    // SIMD-accelerated CPU ops via the JDK Vector API (incubator), same flags as the desktop run.
+    jvmArgs(
+        "--add-modules", "jdk.incubator.vector",
+        "--enable-preview",
+        "-Dskainet.cpu.vector.enabled=true",
+    )
+    maxHeapSize = "4g"
+}
diff --git a/SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/model/AndroidLeafProvider.kt b/SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/model/AndroidLeafProvider.kt
new file mode 100644
index 0000000..6c27079
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/model/AndroidLeafProvider.kt
@@ -0,0 +1,21 @@
+package sk.ainet.samples.emoji.model
+
+import android.content.Context
+import java.io.File
+import sk.ainet.samples.emoji.engine.LeafSource
+
+/**
+ * Resolves the checkpoint files into `filesDir/leaf`, streamed from the Hugging Face Hub on
+ * first use; afterwards the app runs offline.
+ */
+class AndroidLeafProvider(
+    private val context: Context,
+    private val hfToken: String = "",
+) : LeafProvider {
+    override suspend fun resolve(onProgress: (String) -> Unit): LeafSource {
+        val dir = File(context.filesDir, "leaf").apply { mkdirs() }
+        val headers = hfToken.takeIf { it.isNotBlank() }?.let { mapOf("Authorization" to "Bearer $it") } ?: emptyMap()
+        downloadMissingLeafFiles(dir, onProgress, headers)
+        return LeafSource.Directory(dir.path)
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/platform/Platform.android.kt b/SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/platform/Platform.android.kt
new file mode 100644
index 0000000..95ea9f8
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/androidMain/kotlin/sk/ainet/samples/emoji/platform/Platform.android.kt
@@ -0,0 +1,21 @@
+package sk.ainet.samples.emoji.platform
+
+import android.util.Log
+import java.io.File
+import sk.ainet.exec.kernel.jni.JniKernelProvider
+
+actual val currentSamplePlatform: SamplePlatform = SamplePlatform.ANDROID
+
+actual fun kernelTierLabel(): String =
+    if (JniKernelProvider.isAvailable()) "ARM NEON" else "NEON (unavailable)"
+
+actual fun readTextFile(path: String): String = File(path).readText()
+
+internal actual fun platformLog(line: String) {
+    // Host unit tests run against stubbed android.jar, where Log throws "not mocked".
+    try {
+        Log.i("SKAINET_PERF", line)
+    } catch (_: RuntimeException) {
+        println("[SKAINET_PERF] $line")
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Calibration.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Calibration.kt
new file mode 100644
index 0000000..7f068c7
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Calibration.kt
@@ -0,0 +1,103 @@
+package sk.ainet.samples.emoji.domain
+
+import kotlin.math.exp
+import kotlin.math.ln
+import kotlinx.serialization.Serializable
+import kotlinx.serialization.json.Json
+
+/**
+ * Turns a cosine similarity into a match confidence with a logistic curve,
+ * `confidence = 1 / (1 + exp(-k (cos - x0)))`. The two numbers are fitted on a small labelled
+ * query set by the CLI (`calibrate`) and shipped next to the catalog: cosine thresholds are
+ * encoder-specific, so the PRD's guessed `k = 10, x0 = 0.5` is replaced by measured values.
+ */
+@Serializable
+data class Calibration(
+    val k: Double,
+    val x0: Double,
+    val threshold: Double = 0.5,
+    /** At most this many items form the top tier, however many pass [threshold]. */
+    val maxTop: Int = 12,
+    /** How many labelled queries the fit used; informational. */
+    val queries: Int = 0,
+    /** Training accuracy at [threshold]; informational. */
+    val accuracy: Double = 0.0,
+    /** Training F1 at [threshold]; informational. */
+    val f1: Double = 0.0,
+) {
+    init {
+        require(k > 0) { "k must be positive" }
+        require(threshold in 0.0..1.0) { "threshold must be within [0, 1]" }
+        require(maxTop > 0) { "maxTop must be positive" }
+    }
+
+    fun confidence(cosine: Double): Double = 1.0 / (1.0 + exp(-k * (cosine - x0)))
+
+    fun isTop(cosine: Double): Boolean = confidence(cosine) >= threshold
+
+    /** The cosine at which the confidence crosses [threshold]. */
+    val cosineAtThreshold: Double get() = x0 - ln(1.0 / threshold - 1.0) / k
+
+    companion object {
+        /** Before calibration ran: a steep curve around a typical retrieval-encoder boundary. */
+        val DEFAULT = Calibration(k = 14.0, x0 = 0.45)
+
+        private val json = Json { ignoreUnknownKeys = true }
+        fun parse(text: String): Calibration = json.decodeFromString(serializer(), text)
+        fun encode(c: Calibration): String = Json { prettyPrint = true }.encodeToString(serializer(), c)
+
+        /**
+         * One-dimensional logistic regression by gradient descent on `(cosine, isMatch)` pairs,
+         * class-balanced: every positive weighs `negatives / positives`, otherwise the few matches
+         * among hundreds of non-matches push the boundary above every real cosine (the unbalanced
+         * fit on this catalog accepted nothing). Returns `k = slope`, `x0 = -intercept / slope`.
+         */
+        fun fit(samples: List<Pair<Double, Boolean>>, steps: Int = 4000, learningRate: Double = 0.5): Calibration {
+            val positives = samples.count { it.second }
+            val negatives = samples.size - positives
+            require(positives > 0 && negatives > 0) { "calibration needs positives and negatives" }
+            val wPos = negatives.toDouble() / positives
+            val total = 2.0 * negatives
+            var a = 10.0
+            var b = -5.0
+            repeat(steps) {
+                var ga = 0.0
+                var gb = 0.0
+                for ((x, y) in samples) {
+                    val p = 1.0 / (1.0 + exp(-(a * x + b)))
+                    val w = if (y) wPos else 1.0
+                    val err = w * (p - (if (y) 1.0 else 0.0))
+                    ga += err * x
+                    gb += err
+                }
+                a -= learningRate * ga / total
+                b -= learningRate * gb / total
+            }
+            // The curve maps cosine to a probability; the threshold on it is the F1-optimal cut.
+            val curve = Calibration(k = a, x0 = -b / a)
+            var best = curve
+            var bestF1 = -1.0
+            for (step in 5..95 step 5) {
+                val candidate = curve.copy(threshold = step / 100.0)
+                val f1 = f1(candidate, samples)
+                if (f1 > bestF1) {
+                    bestF1 = f1
+                    best = candidate
+                }
+            }
+            val correct = samples.count { (x, y) -> best.isTop(x) == y }
+            return best.copy(accuracy = correct / samples.size.toDouble(), f1 = bestF1)
+        }
+
+        private fun f1(c: Calibration, samples: List<Pair<Double, Boolean>>): Double {
+            var tp = 0
+            var fp = 0
+            var fn = 0
+            for ((x, y) in samples) {
+                val predicted = c.isTop(x)
+                if (predicted && y) tp++ else if (predicted) fp++ else if (y) fn++
+            }
+            return if (tp == 0) 0.0 else 2.0 * tp / (2.0 * tp + fp + fn)
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Catalog.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Catalog.kt
new file mode 100644
index 0000000..596c285
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Catalog.kt
@@ -0,0 +1,58 @@
+package sk.ainet.samples.emoji.domain
+
+import kotlinx.serialization.Serializable
+import kotlinx.serialization.json.Json
+
+/** One emoji of the catalog: CLDR names and keywords in English and German, plus curated tags. */
+@Serializable
+data class CatalogItem(
+    /** Hex code points joined with `-`, e.g. `1F355`; stable across catalog versions. */
+    val id: String,
+    val emoji: String,
+    val nameEn: String,
+    val nameDe: String,
+    val keywordsEn: List<String> = emptyList(),
+    val keywordsDe: List<String> = emptyList(),
+    /** Hand-curated for the showcase groups (`healthy`, `indulgent`, `sick`, `rock-band`, …). */
+    val tags: List<String> = emptyList(),
+    val group: String = "",
+) {
+    /**
+     * The single text the encoder sees for this item. CLI, tests and app share this definition:
+     * the precomputed embeddings and the parity golden depend on it (see `Catalog.embeddingTextVersion`).
+     */
+    fun embeddingText(): String = buildString {
+        append(nameEn)
+        if (keywordsEn.isNotEmpty()) append(". ").append(keywordsEn.joinToString(", "))
+        append(". ").append(nameDe)
+    }
+
+    fun name(german: Boolean): String = if (german) nameDe else nameEn
+}
+
+@Serializable
+data class Catalog(
+    val version: Int,
+    /** CLDR release the names and keywords were generated from. */
+    val cldr: String,
+    /** Bump when [CatalogItem.embeddingText] changes; the shipped embeddings are only valid for the same version. */
+    val embeddingTextVersion: Int,
+    /** SHA-256 of `catalog-embeddings.bin` computed for these items, empty until the CLI wrote it. */
+    val embeddingsSha256: String = "",
+    val items: List<CatalogItem>,
+) {
+    init {
+        require(items.isNotEmpty()) { "catalog has no items" }
+        require(items.map { it.id }.toSet().size == items.size) { "catalog has duplicate ids" }
+    }
+
+    fun item(id: String): CatalogItem? = items.firstOrNull { it.id == id }
+
+    companion object {
+        const val EMBEDDING_TEXT_VERSION = 1
+        private val json = Json { ignoreUnknownKeys = true }
+
+        fun parse(text: String): Catalog = json.decodeFromString(serializer(), text)
+        fun encode(catalog: Catalog): String = Json { prettyPrint = true }.encodeToString(serializer(), catalog)
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Ranking.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Ranking.kt
new file mode 100644
index 0000000..9d4d839
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/domain/Ranking.kt
@@ -0,0 +1,14 @@
+package sk.ainet.samples.emoji.domain
+
+/** Where an item lands after a sweep: above the calibrated threshold or below. */
+enum class Tier { TOP, REST }
+
+/** One catalog item scored against the current query. */
+data class RankedItem(
+    val item: CatalogItem,
+    /** Cosine similarity between the query and the item embedding (both L2-normalised). */
+    val cosine: Float,
+    /** Calibrated match confidence in `[0, 1]`, see [Calibration]. */
+    val confidence: Float,
+    val tier: Tier,
+)
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/ByteArrayRandomAccessSource.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/ByteArrayRandomAccessSource.kt
new file mode 100644
index 0000000..51fd812
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/ByteArrayRandomAccessSource.kt
@@ -0,0 +1,25 @@
+package sk.ainet.samples.emoji.engine
+
+import sk.ainet.io.RandomAccessSource
+
+/**
+ * In-memory [RandomAccessSource] over a fully materialised byte array. The web build has no
+ * filesystem: the SafeTensors files arrive as Compose resource bytes and the streaming reader
+ * wants random access, so this wraps them. Desktop and Android read straight off disk instead.
+ */
+class ByteArrayRandomAccessSource(private val bytes: ByteArray) : RandomAccessSource {
+    override val size: Long = bytes.size.toLong()
+
+    override fun readAt(position: Long, length: Int): ByteArray {
+        require(position >= 0 && length >= 0 && position + length <= size) { "read [$position, +$length) outside $size bytes" }
+        return bytes.copyOfRange(position.toInt(), (position + length).toInt())
+    }
+
+    override fun readAt(position: Long, buffer: ByteArray, offset: Int, length: Int): Int {
+        val n = minOf(length, (size - position).toInt())
+        bytes.copyInto(buffer, offset, position.toInt(), position.toInt() + n)
+        return n
+    }
+
+    override fun close() {}
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/CatalogIndex.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/CatalogIndex.kt
new file mode 100644
index 0000000..328a528
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/CatalogIndex.kt
@@ -0,0 +1,107 @@
+package sk.ainet.samples.emoji.engine
+
+import kotlin.math.sqrt
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.domain.CatalogItem
+import sk.ainet.samples.emoji.domain.RankedItem
+import sk.ainet.samples.emoji.domain.Tier
+
+/**
+ * The catalog embeddings, one L2-normalised row per item, and the cosine sweep over them.
+ * 180 × 768 floats is 553 KB: computed once at startup on desktop and Android, shipped as
+ * `catalog-embeddings.bin` for the web build (and as the parity golden for the tests).
+ */
+class CatalogIndex(
+    val items: List<CatalogItem>,
+    /** Row-major `items.size × dimensions`. */
+    val vectors: FloatArray,
+    val dimensions: Int,
+) {
+    init {
+        require(vectors.size == items.size * dimensions) { "expected ${items.size} × $dimensions floats, got ${vectors.size}" }
+    }
+
+    /** Cosine of every item against [query] (unit vector), in catalog order. */
+    fun cosines(query: FloatArray): FloatArray {
+        require(query.size == dimensions) { "query has ${query.size} dimensions, index has $dimensions" }
+        val out = FloatArray(items.size)
+        for (i in items.indices) {
+            val base = i * dimensions
+            var dot = 0f
+            for (d in 0 until dimensions) dot += vectors[base + d] * query[d]
+            out[i] = dot
+        }
+        return out
+    }
+
+    /** Every item scored and sorted by cosine; the top tier is what passes the threshold, at most `maxTop` items. */
+    fun rank(query: FloatArray, calibration: Calibration): List<RankedItem> {
+        val cos = cosines(query)
+        val sorted = items.indices.sortedByDescending { cos[it] }
+        return sorted.mapIndexed { rank, i ->
+            val c = cos[i].toDouble()
+            val top = rank < calibration.maxTop && calibration.isTop(c)
+            RankedItem(items[i], cos[i], calibration.confidence(c).toFloat(), if (top) Tier.TOP else Tier.REST)
+        }
+    }
+
+    /** The unscored catalog, for an empty query. */
+    fun unranked(): List<RankedItem> = items.map { RankedItem(it, 0f, 0f, Tier.REST) }
+
+    fun vector(index: Int): FloatArray = vectors.copyOfRange(index * dimensions, (index + 1) * dimensions)
+
+    /** Little-endian float32, row-major, no header. */
+    fun toBytes(): ByteArray {
+        val out = ByteArray(vectors.size * 4)
+        for (i in vectors.indices) {
+            val bits = vectors[i].toRawBits()
+            val o = i * 4
+            out[o] = bits.toByte()
+            out[o + 1] = (bits ushr 8).toByte()
+            out[o + 2] = (bits ushr 16).toByte()
+            out[o + 3] = (bits ushr 24).toByte()
+        }
+        return out
+    }
+
+    companion object {
+        fun fromBytes(items: List<CatalogItem>, bytes: ByteArray, dimensions: Int = 768): CatalogIndex {
+            require(bytes.size == items.size * dimensions * 4) { "embeddings file has ${bytes.size} bytes, expected ${items.size * dimensions * 4}" }
+            val floats = FloatArray(bytes.size / 4)
+            for (i in floats.indices) {
+                val o = i * 4
+                val bits = (bytes[o].toInt() and 0xFF) or
+                    ((bytes[o + 1].toInt() and 0xFF) shl 8) or
+                    ((bytes[o + 2].toInt() and 0xFF) shl 16) or
+                    ((bytes[o + 3].toInt() and 0xFF) shl 24)
+                floats[i] = Float.fromBits(bits)
+            }
+            return CatalogIndex(items, floats, dimensions)
+        }
+
+        /** Embeds every item with [engine]; [onProgress] gets `(done, total)`. */
+        fun build(items: List<CatalogItem>, engine: EmbeddingEngine, onProgress: (Int, Int) -> Unit = { _, _ -> }): CatalogIndex {
+            val dim = engine.dimensions
+            val vectors = FloatArray(items.size * dim)
+            items.forEachIndexed { i, item ->
+                val v = engine.embed(item.embeddingText())
+                require(v.size == dim) { "embedding of '${item.id}' has ${v.size} dimensions, expected $dim" }
+                v.copyInto(vectors, i * dim)
+                onProgress(i + 1, items.size)
+            }
+            return CatalogIndex(items, vectors, dim)
+        }
+
+        fun cosine(a: FloatArray, b: FloatArray): Float {
+            var dot = 0f
+            var na = 0f
+            var nb = 0f
+            for (i in a.indices) {
+                dot += a[i] * b[i]
+                na += a[i] * a[i]
+                nb += b[i] * b[i]
+            }
+            return if (na == 0f || nb == 0f) 0f else dot / (sqrt(na) * sqrt(nb))
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/EmbeddingEngine.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/EmbeddingEngine.kt
new file mode 100644
index 0000000..d242da2
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/EmbeddingEngine.kt
@@ -0,0 +1,122 @@
+package sk.ainet.samples.emoji.engine
+
+import kotlin.time.TimeSource
+import sk.ainet.context.DirectCpuExecutionContext
+import sk.ainet.context.ExecutionContext
+import sk.ainet.frontend.text.BatchTokenizer
+import sk.ainet.frontend.tokenizer.TextFrontEnds
+import sk.ainet.io.RandomAccessSource
+import sk.ainet.io.openRandomAccessSource
+import sk.ainet.io.safetensors.SafeTensorsParametersLoader
+import sk.ainet.lang.types.FP32
+import sk.ainet.models.bert.BertConfigParser
+import sk.ainet.models.bert.BertEncoderRuntime
+import sk.ainet.models.bert.BertExecutionMode
+import sk.ainet.models.bert.BertNetworkLoader
+import sk.ainet.models.bert.PooledExecutionContext
+import sk.ainet.models.bert.createBertEncoderRuntime
+import sk.ainet.samples.emoji.platform.readTextFile
+
+/** Sentence embeddings: one L2-normalised vector per text, so cosine is a dot product. */
+interface EmbeddingEngine {
+    val dimensions: Int
+
+    /** Embeds a catalog text (a "document" in retrieval terms). */
+    fun embed(text: String): FloatArray
+
+    /**
+     * Embeds a search query. LEAF is an asymmetric retrieval encoder: queries carry the prompt
+     * its model card prescribes, documents do not; a symmetric engine may ignore the distinction.
+     */
+    fun embedQuery(text: String): FloatArray = embed(QUERY_PROMPT + text)
+
+    companion object {
+        /** The `query` prompt of `MongoDB/mdbr-leaf-ir` (sentence-transformers `prompt_name="query"`). */
+        const val QUERY_PROMPT = "Represent this sentence for searching relevant passages: "
+    }
+}
+
+/** The execution context every target uses; the kernel backend is picked by what is on the classpath. */
+fun defaultExecutionContext(): ExecutionContext = PooledExecutionContext(DirectCpuExecutionContext())
+
+/** LEAF on the SKaiNET-transformers BERT runtime: WordPiece tokenizer, encoder, mean pooling, 2_Dense, L2. */
+class LeafEmbeddingEngine(
+    private val runtime: BertEncoderRuntime<FP32>,
+    private val tokenizer: BatchTokenizer,
+    val loadMillis: Long,
+) : EmbeddingEngine {
+    override val dimensions: Int get() = runtime.dimensions
+
+    override fun embed(text: String): FloatArray {
+        val encoding = tokenizer.encodeWithMetadata(text)
+        return runtime.encode(encoding.ids, encoding.attentionMask)
+    }
+
+    companion object {
+        /**
+         * Builds the engine from a [LeafSource]. The weights stream through the SafeTensors reader
+         * from disk or from the in-memory bytes; the projection head comes from the second file.
+         */
+        suspend fun load(
+            source: LeafSource,
+            ctx: ExecutionContext = defaultExecutionContext(),
+            mode: BertExecutionMode = BertExecutionMode.DIRECT,
+            onProgress: (String) -> Unit = {},
+        ): LeafEmbeddingEngine {
+            val started = TimeSource.Monotonic.markNow()
+            val files = when (source) {
+                is LeafSource.Directory -> DirectoryFiles(source.path)
+                is LeafSource.Bytes -> BytesFiles(source)
+            }
+            onProgress("Reading model configuration…")
+            val config = BertConfigParser.parse(files.text(LeafFiles.CONFIG), files.text(LeafFiles.DENSE_CONFIG))
+            val pooling = BertConfigParser.parsePooling(files.text(LeafFiles.POOLING_CONFIG))
+            // LEAF's tokenizer.json is WordPiece; the engine returns the BERT-class tokenizer with masks.
+            val tokenizer = TextFrontEnds.fromTokenizerJson(files.text(LeafFiles.TOKENIZER), files.textOrNull(LeafFiles.TOKENIZER_CONFIG)) as? BatchTokenizer
+                ?: error("tokenizer.json is not a WordPiece/BERT-class tokenizer")
+
+            onProgress("Loading encoder weights…")
+            val loaders = listOf(
+                SafeTensorsParametersLoader(sourceProvider = { files.source(LeafFiles.MODEL) }),
+                SafeTensorsParametersLoader(sourceProvider = { files.source(LeafFiles.DENSE_MODEL) }),
+            )
+            val tensors = BertNetworkLoader.loadWeightTensors(loaders, ctx, FP32::class)
+            onProgress("Building encoder…")
+            val runtime = createBertEncoderRuntime(config, tensors, ctx, mode = mode, pooling = pooling)
+            return LeafEmbeddingEngine(runtime, tokenizer, started.elapsedNow().inWholeMilliseconds)
+        }
+    }
+}
+
+private interface LeafFileAccess {
+    fun text(file: String): String
+    fun textOrNull(file: String): String?
+    fun source(file: String): RandomAccessSource
+}
+
+private class DirectoryFiles(private val dir: String) : LeafFileAccess {
+    private fun path(file: String) = "$dir/$file"
+    override fun text(file: String): String = readTextFile(path(file))
+    override fun textOrNull(file: String): String? = runCatching { readTextFile(path(file)) }.getOrNull()
+    override fun source(file: String): RandomAccessSource =
+        openRandomAccessSource(path(file)) ?: error("no random-access file source on this platform for ${path(file)}")
+}
+
+private class BytesFiles(private val bytes: LeafSource.Bytes) : LeafFileAccess {
+    override fun text(file: String): String = when (file) {
+        LeafFiles.CONFIG -> bytes.configJson
+        LeafFiles.DENSE_CONFIG -> bytes.denseConfigJson
+        LeafFiles.POOLING_CONFIG -> bytes.poolingConfigJson
+        LeafFiles.TOKENIZER -> bytes.tokenizerJson
+        LeafFiles.TOKENIZER_CONFIG -> bytes.tokenizerConfigJson ?: error("no tokenizer_config.json")
+        else -> error("not a text file: $file")
+    }
+
+    override fun textOrNull(file: String): String? = if (file == LeafFiles.TOKENIZER_CONFIG) bytes.tokenizerConfigJson else text(file)
+
+    override fun source(file: String): RandomAccessSource = when (file) {
+        LeafFiles.MODEL -> ByteArrayRandomAccessSource(bytes.model)
+        LeafFiles.DENSE_MODEL -> ByteArrayRandomAccessSource(bytes.denseModel)
+        else -> error("not a tensor file: $file")
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/LeafFiles.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/LeafFiles.kt
new file mode 100644
index 0000000..5f1b2fa
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/engine/LeafFiles.kt
@@ -0,0 +1,49 @@
+package sk.ainet.samples.emoji.engine
+
+/**
+ * The MongoDB LEAF retrieval encoder (`mdbr-leaf-ir`, Apache-2.0): a 6-layer BERT with hidden
+ * size 384, mean pooling and a `2_Dense` projection to 768 dimensions. Files are addressed by
+ * their path inside the Hugging Face repository, which is also the on-disk layout everywhere.
+ */
+object LeafFiles {
+    const val HF_REPO = "MongoDB/mdbr-leaf-ir"
+    const val HF_REVISION = "4262131b32c3182bd06e67e92ae69d7bd66e0c5c"
+
+    const val MODEL = "model.safetensors"
+    const val CONFIG = "config.json"
+    const val TOKENIZER = "tokenizer.json"
+    const val TOKENIZER_CONFIG = "tokenizer_config.json"
+    const val DENSE_MODEL = "2_Dense/model.safetensors"
+    const val DENSE_CONFIG = "2_Dense/config.json"
+    const val POOLING_CONFIG = "1_Pooling/config.json"
+
+    val ALL: List<String> = listOf(MODEL, CONFIG, TOKENIZER, TOKENIZER_CONFIG, DENSE_MODEL, DENSE_CONFIG, POOLING_CONFIG)
+
+    /** Sizes at [HF_REVISION], for progress reporting and truncation checks. */
+    val SIZES: Map<String, Long> = mapOf(
+        MODEL to 90_272_656L,
+        CONFIG to 829L,
+        TOKENIZER to 711_661L,
+        TOKENIZER_CONFIG to 1_529L,
+        DENSE_MODEL to 1_182_880L,
+        DENSE_CONFIG to 137L,
+        POOLING_CONFIG to 321L,
+    )
+
+    fun url(file: String): String = "https://huggingface.co/$HF_REPO/resolve/$HF_REVISION/$file"
+}
+
+/** Where the checkpoint files are: a directory (desktop, Android) or already-read bytes (web). */
+sealed interface LeafSource {
+    data class Directory(val path: String) : LeafSource
+
+    class Bytes(
+        val model: ByteArray,
+        val denseModel: ByteArray,
+        val configJson: String,
+        val denseConfigJson: String,
+        val poolingConfigJson: String,
+        val tokenizerJson: String,
+        val tokenizerConfigJson: String?,
+    ) : LeafSource
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/model/LeafProvider.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/model/LeafProvider.kt
new file mode 100644
index 0000000..faafb19
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/model/LeafProvider.kt
@@ -0,0 +1,30 @@
+package sk.ainet.samples.emoji.model
+
+import sk.ainet.samples.emoji.engine.LeafSource
+
+/**
+ * Resolves the LEAF checkpoint onto this platform. Desktop and Android implementations do real
+ * file IO (cache hit → streamed Hugging Face download, one file at a time); the web build reads
+ * the bundled Compose resources directly and needs no provider.
+ */
+interface LeafProvider {
+    suspend fun resolve(onProgress: (String) -> Unit): LeafSource
+}
+
+/** What to do for one checkpoint file, decided without touching any IO. */
+sealed interface FilePlan {
+    data class UseCached(val path: String) : FilePlan
+    data class Download(val path: String, val url: String) : FilePlan
+}
+
+/** Pure resolution policy: a present, complete file is reused; otherwise it is downloaded. */
+object LeafResolver {
+    fun plan(targetPath: String, url: String, existingBytes: Long?, expectedBytes: Long?): FilePlan = when {
+        existingBytes == null -> FilePlan.Download(targetPath, url)
+        expectedBytes != null && existingBytes < expectedBytes -> FilePlan.Download(targetPath, url)
+        else -> FilePlan.UseCached(targetPath)
+    }
+
+    /** Streamed downloads land here first, so an interrupted download never leaves a truncated target. */
+    fun partPath(targetPath: String): String = "$targetPath.part"
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/platform/Platform.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/platform/Platform.kt
new file mode 100644
index 0000000..b088989
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/platform/Platform.kt
@@ -0,0 +1,36 @@
+package sk.ainet.samples.emoji.platform
+
+import kotlin.time.TimeSource
+
+/** Every target this sample runs on — the fixed set the platform-chips row displays. */
+enum class SamplePlatform(val label: String) {
+    ANDROID("Android"),
+    DESKTOP("Desktop"),
+    WEB("Web"),
+}
+
+/** Which of [SamplePlatform] this process is actually running as. */
+expect val currentSamplePlatform: SamplePlatform
+
+/** Human-readable label for the kernel path this platform/process is running — shown in the UI. */
+expect fun kernelTierLabel(): String
+
+/** Reads a whole text file; only the filesystem targets (desktop, Android) implement it. */
+expect fun readTextFile(path: String): String
+
+/** Where the platform writes a log line — `adb logcat` on Android, stdout elsewhere. */
+internal expect fun platformLog(line: String)
+
+private val processStart = TimeSource.Monotonic.markNow()
+
+/** One-line structured events: `event=... | +123ms | key=value`, greppable on every platform. */
+fun logEvent(name: String, vararg details: Pair<String, Any?>) {
+    val line = buildString {
+        append("event=").append(name)
+        append(" | +").append(processStart.elapsedNow().inWholeMilliseconds).append("ms")
+        for ((key, value) in details) {
+            if (value != null) append(" | ").append(key).append('=').append(value)
+        }
+    }
+    platformLog(line)
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/verify/Verifier.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/verify/Verifier.kt
new file mode 100644
index 0000000..589d163
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/verify/Verifier.kt
@@ -0,0 +1,42 @@
+package sk.ainet.samples.emoji.verify
+
+import kotlinx.coroutines.flow.Flow
+import kotlinx.coroutines.flow.MutableStateFlow
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.emptyFlow
+import sk.ainet.samples.emoji.domain.CatalogItem
+
+/** A decision model's verdict on one candidate item for the current query. */
+data class Verdict(
+    val itemId: String,
+    /** `P(item matches query)` as the model sees it; null when the model failed on this item. */
+    val probabilityTrue: Double?,
+    /** The accepted decision under the policy; null when the model abstained or failed. */
+    val accepted: Boolean?,
+    val millis: Long,
+)
+
+sealed interface VerifierState {
+    /** No verifier built in, or the device cannot run it; the reason shows in the UI. */
+    data class Disabled(val reason: String) : VerifierState
+    data object Idle : VerifierState
+    data class Loading(val message: String) : VerifierState
+    data class Busy(val done: Int, val total: Int) : VerifierState
+    data class Error(val message: String) : VerifierState
+}
+
+/**
+ * The second stage ("System 2"): a typed decision model asked, per candidate, whether the
+ * item matches the query. Implementations stream one [Verdict] per item in rank order and
+ * stop as soon as the collector is cancelled, which happens whenever the query changes.
+ */
+interface Verifier {
+    val state: StateFlow<VerifierState>
+    fun verify(query: String, items: List<CatalogItem>): Flow<Verdict>
+}
+
+/** The web build and any build without `-PlayaVerifier=true`. */
+class NoopVerifier(reason: String = "not built in") : Verifier {
+    override val state: StateFlow<VerifierState> = MutableStateFlow(VerifierState.Disabled(reason))
+    override fun verify(query: String, items: List<CatalogItem>): Flow<Verdict> = emptyFlow()
+}
diff --git a/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModel.kt b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModel.kt
new file mode 100644
index 0000000..d060634
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonMain/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModel.kt
@@ -0,0 +1,163 @@
+package sk.ainet.samples.emoji.vm
+
+import androidx.lifecycle.ViewModel
+import androidx.lifecycle.viewModelScope
+import kotlin.time.TimeSource
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.ExperimentalCoroutinesApi
+import kotlinx.coroutines.FlowPreview
+import kotlinx.coroutines.flow.MutableStateFlow
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.collect
+import kotlinx.coroutines.flow.debounce
+import kotlinx.coroutines.flow.distinctUntilChanged
+import kotlinx.coroutines.flow.mapLatest
+import kotlinx.coroutines.flow.update
+import kotlinx.coroutines.launch
+import kotlinx.coroutines.withContext
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.domain.RankedItem
+import sk.ainet.samples.emoji.domain.Tier
+import sk.ainet.samples.emoji.engine.CatalogIndex
+import sk.ainet.samples.emoji.engine.EmbeddingEngine
+import sk.ainet.samples.emoji.platform.logEvent
+import sk.ainet.samples.emoji.verify.NoopVerifier
+import sk.ainet.samples.emoji.verify.Verdict
+import sk.ainet.samples.emoji.verify.Verifier
+
+sealed interface LoadState {
+    data object Idle : LoadState
+    data class Loading(val message: String) : LoadState
+    data object Ready : LoadState
+    data class Failed(val message: String) : LoadState
+}
+
+/** Timings the diagnostics row shows; all milliseconds. */
+data class SearchStats(
+    val modelLoadMs: Long = 0,
+    val indexBuildMs: Long = 0,
+    val lastQueryMs: Long = 0,
+    val p50QueryMs: Long = 0,
+    val queries: Int = 0,
+)
+
+/**
+ * Drives model loading, the per-keystroke ranking and the optional second-stage verifier.
+ * Everything platform-specific (where the checkpoint comes from, how the index is obtained,
+ * which verifier exists) is injected, so the class runs under `runTest` with fakes.
+ *
+ * Ranking: the query flow is debounced by [debounceMs]; `mapLatest` drops a sweep when a newer
+ * query arrives. Verification: once the ranking has been stable for [stableMs], the top
+ * [verifierTopK] items go to the [verifier], whose verdicts stream in one by one and are
+ * cleared the moment the query changes.
+ */
+@OptIn(FlowPreview::class, ExperimentalCoroutinesApi::class)
+class EmojiSearchViewModel(
+    private val loadEngine: suspend (onProgress: (String) -> Unit) -> EmbeddingEngine,
+    private val loadIndex: suspend (engine: EmbeddingEngine, onProgress: (String) -> Unit) -> CatalogIndex,
+    private val calibration: Calibration,
+    val verifier: Verifier = NoopVerifier(),
+    private val embedDispatcher: CoroutineDispatcher = Dispatchers.Default,
+    private val debounceMs: Long = 120,
+    private val stableMs: Long = 500,
+    private val verifierTopK: Int = 6,
+) : ViewModel() {
+
+    val query = MutableStateFlow("")
+
+    private val _status = MutableStateFlow<LoadState>(LoadState.Idle)
+    val status: StateFlow<LoadState> = _status
+
+    private val _ranked = MutableStateFlow<List<RankedItem>>(emptyList())
+    val ranked: StateFlow<List<RankedItem>> = _ranked
+
+    private val _verdicts = MutableStateFlow<Map<String, Verdict>>(emptyMap())
+    val verdicts: StateFlow<Map<String, Verdict>> = _verdicts
+
+    private val _stats = MutableStateFlow(SearchStats())
+    val stats: StateFlow<SearchStats> = _stats
+
+    private val queryTimings = ArrayList<Long>()
+    private var engine: EmbeddingEngine? = null
+    private var index: CatalogIndex? = null
+
+    init {
+        viewModelScope.launch { load() }
+    }
+
+    private suspend fun load() {
+        try {
+            _status.value = LoadState.Loading("Loading model…")
+            val started = TimeSource.Monotonic.markNow()
+            val e = withContext(embedDispatcher) { loadEngine { _status.value = LoadState.Loading(it) } }
+            val loadMs = started.elapsedNow().inWholeMilliseconds
+            val indexStart = TimeSource.Monotonic.markNow()
+            val idx = withContext(embedDispatcher) { loadIndex(e) { _status.value = LoadState.Loading(it) } }
+            val indexMs = indexStart.elapsedNow().inWholeMilliseconds
+            engine = e
+            index = idx
+            _stats.update { it.copy(modelLoadMs = loadMs, indexBuildMs = indexMs) }
+            _ranked.value = idx.unranked()
+            _status.value = LoadState.Ready
+            logEvent("model_ready", "loadMs" to loadMs, "indexMs" to indexMs, "items" to idx.items.size, "dims" to idx.dimensions)
+            startSearchLoop()
+            startVerifierLoop()
+        } catch (t: Throwable) {
+            logEvent("model_failed", "error" to (t.message ?: t::class.simpleName))
+            _status.value = LoadState.Failed(t.message ?: t::class.simpleName ?: "unknown error")
+        }
+    }
+
+    private fun startSearchLoop() {
+        viewModelScope.launch {
+            query
+                .debounce(debounceMs)
+                .distinctUntilChanged()
+                .mapLatest { q -> rank(q) }
+                .collect { result ->
+                    _verdicts.value = emptyMap()
+                    _ranked.value = result
+                }
+        }
+    }
+
+    private fun startVerifierLoop() {
+        viewModelScope.launch {
+            _ranked
+                .debounce(stableMs)
+                .mapLatest { ranked -> verify(ranked) }
+                .collect()
+        }
+    }
+
+    private suspend fun rank(q: String): List<RankedItem> {
+        val idx = index ?: return emptyList()
+        val e = engine ?: return emptyList()
+        if (q.isBlank()) return idx.unranked()
+        return withContext(embedDispatcher) {
+            val started = TimeSource.Monotonic.markNow()
+            val vector = e.embedQuery(q.trim())
+            val ranked = idx.rank(vector, calibration)
+            val ms = started.elapsedNow().inWholeMilliseconds
+            recordTiming(ms)
+            ranked
+        }
+    }
+
+    private suspend fun verify(ranked: List<RankedItem>) {
+        val q = query.value.trim()
+        if (q.isBlank() || ranked.isEmpty()) return
+        val top = ranked.filter { it.tier == Tier.TOP }.take(verifierTopK).ifEmpty { ranked.take(3) }
+        verifier.verify(q, top.map { it.item }).collect { verdict ->
+            _verdicts.update { it + (verdict.itemId to verdict) }
+        }
+    }
+
+    private fun recordTiming(ms: Long) {
+        queryTimings += ms
+        if (queryTimings.size > 50) queryTimings.removeAt(0)
+        val sorted = queryTimings.sorted()
+        _stats.update { it.copy(lastQueryMs = ms, p50QueryMs = sorted[sorted.size / 2], queries = it.queries + 1) }
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/domain/CalibrationTest.kt b/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/domain/CalibrationTest.kt
new file mode 100644
index 0000000..4e453d0
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/domain/CalibrationTest.kt
@@ -0,0 +1,36 @@
+package sk.ainet.samples.emoji.domain
+
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertFailsWith
+import kotlin.test.assertTrue
+
+class CalibrationTest {
+    @Test
+    fun confidence_is_monotonic_and_crosses_the_threshold_at_the_reported_cosine() {
+        val c = Calibration(k = 12.0, x0 = 0.4)
+        val values = (0..20).map { c.confidence(it / 20.0) }
+        assertTrue(values.zipWithNext().all { (a, b) -> b >= a }, "monotonic: $values")
+        assertEquals(0.5, c.confidence(c.cosineAtThreshold), 1e-9)
+        assertTrue(c.isTop(c.cosineAtThreshold + 1e-6))
+        assertTrue(!c.isTop(c.cosineAtThreshold - 1e-6))
+    }
+
+    @Test
+    fun fit_separates_two_clusters() {
+        val positives = listOf(0.62, 0.70, 0.55, 0.66, 0.58, 0.74).map { it to true }
+        val negatives = listOf(0.10, 0.22, 0.31, 0.18, 0.27, 0.35, 0.05).map { it to false }
+        val fitted = Calibration.fit(positives + negatives, steps = 3000)
+        assertTrue(fitted.k > 0, "slope positive: $fitted")
+        assertTrue(fitted.cosineAtThreshold in 0.35..0.55, "boundary between the clusters: $fitted")
+        assertEquals(1.0, fitted.accuracy, 1e-9)
+        assertEquals(1.0, fitted.f1, 1e-9)
+        assertFailsWith<IllegalArgumentException> { Calibration.fit(positives) }
+    }
+
+    @Test
+    fun json_round_trip() {
+        val c = Calibration(k = 9.5, x0 = 0.41, threshold = 0.6, maxTop = 8, queries = 30, accuracy = 0.93, f1 = 0.4)
+        assertEquals(c, Calibration.parse(Calibration.encode(c)))
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/engine/CatalogIndexTest.kt b/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/engine/CatalogIndexTest.kt
new file mode 100644
index 0000000..72567ae
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/engine/CatalogIndexTest.kt
@@ -0,0 +1,56 @@
+package sk.ainet.samples.emoji.engine
+
+import kotlin.math.sqrt
+import kotlin.test.Test
+import kotlin.test.assertContentEquals
+import kotlin.test.assertEquals
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.domain.CatalogItem
+import sk.ainet.samples.emoji.domain.Tier
+
+class CatalogIndexTest {
+    private val items = listOf(
+        CatalogItem("A", "🍕", "pizza", "Pizza", listOf("cheese", "slice"), listOf("Käse")),
+        CatalogItem("B", "🥗", "green salad", "Salat", listOf("food", "green"), listOf("gesund")),
+        CatalogItem("C", "🎸", "guitar", "Gitarre", listOf("music"), listOf("Musik")),
+    )
+
+    private fun unit(vararg v: Float): FloatArray {
+        val n = sqrt(v.sumOf { (it * it).toDouble() }).toFloat()
+        return FloatArray(v.size) { v[it] / n }
+    }
+
+    private val vectors = unit(1f, 0f, 0f) + unit(0.8f, 0.6f, 0f) + unit(0f, 0f, 1f)
+    private val index = CatalogIndex(items, vectors, dimensions = 3)
+    private val calibration = Calibration(k = 20.0, x0 = 0.7)
+
+    @Test
+    fun rank_sorts_by_cosine_and_applies_the_tier() {
+        val ranked = index.rank(unit(1f, 0f, 0f), calibration)
+        assertEquals(listOf("A", "B", "C"), ranked.map { it.item.id })
+        assertEquals(1f, ranked[0].cosine, 1e-6f)
+        assertEquals(0.8f, ranked[1].cosine, 1e-6f)
+        assertEquals(listOf(Tier.TOP, Tier.TOP, Tier.REST), ranked.map { it.tier })
+        val capped = index.rank(unit(1f, 0f, 0f), calibration.copy(maxTop = 1))
+        assertEquals(listOf(Tier.TOP, Tier.REST, Tier.REST), capped.map { it.tier }, "maxTop caps the top tier")
+    }
+
+    @Test
+    fun bytes_round_trip_little_endian() {
+        val restored = CatalogIndex.fromBytes(items, index.toBytes(), dimensions = 3)
+        assertContentEquals(index.vectors, restored.vectors)
+        assertEquals(3, restored.dimensions)
+    }
+
+    @Test
+    fun build_uses_the_shared_embedding_text() {
+        val seen = ArrayList<String>()
+        val engine = object : EmbeddingEngine {
+            override val dimensions = 3
+            override fun embed(text: String): FloatArray { seen += text; return unit(1f, 1f, 1f) }
+        }
+        val built = CatalogIndex.build(items, engine)
+        assertEquals(listOf("pizza. cheese, slice. Pizza", "green salad. food, green. Salat", "guitar. music. Gitarre"), seen)
+        assertEquals(9, built.vectors.size)
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModelTest.kt b/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModelTest.kt
new file mode 100644
index 0000000..e05ff0c
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/commonTest/kotlin/sk/ainet/samples/emoji/vm/EmojiSearchViewModelTest.kt
@@ -0,0 +1,107 @@
+package sk.ainet.samples.emoji.vm
+
+import kotlin.test.AfterTest
+import kotlin.test.BeforeTest
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertTrue
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.ExperimentalCoroutinesApi
+import kotlinx.coroutines.flow.Flow
+import kotlinx.coroutines.flow.MutableStateFlow
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.flow
+import kotlinx.coroutines.test.StandardTestDispatcher
+import kotlinx.coroutines.test.advanceTimeBy
+import kotlinx.coroutines.test.resetMain
+import kotlinx.coroutines.test.runCurrent
+import kotlinx.coroutines.test.runTest
+import kotlinx.coroutines.test.setMain
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.domain.CatalogItem
+import sk.ainet.samples.emoji.engine.CatalogIndex
+import sk.ainet.samples.emoji.engine.EmbeddingEngine
+import sk.ainet.samples.emoji.verify.Verdict
+import sk.ainet.samples.emoji.verify.Verifier
+import sk.ainet.samples.emoji.verify.VerifierState
+
+@OptIn(ExperimentalCoroutinesApi::class)
+class EmojiSearchViewModelTest {
+    private val dispatcher = StandardTestDispatcher()
+
+    @BeforeTest fun setMain() = Dispatchers.setMain(dispatcher)
+    @AfterTest fun resetMainDispatcher() = Dispatchers.resetMain()
+
+    private val items = listOf(
+        CatalogItem("A", "🍕", "pizza", "Pizza"),
+        CatalogItem("B", "🥗", "salad", "Salat"),
+        CatalogItem("C", "🎸", "guitar", "Gitarre"),
+    )
+
+    /** Query "food" points at A and B, "music" at C. */
+    private class FakeEngine : EmbeddingEngine {
+        val embedded = ArrayList<String>()
+        override val dimensions = 3
+        override fun embedQuery(text: String): FloatArray = embed(text) // symmetric fake, no retrieval prompt
+        override fun embed(text: String): FloatArray {
+            embedded += text
+            return when {
+                "music" in text -> floatArrayOf(0f, 0f, 1f)
+                else -> floatArrayOf(0.8f, 0.6f, 0f)
+            }
+        }
+    }
+
+    private class RecordingVerifier : Verifier {
+        val calls = ArrayList<Pair<String, List<String>>>()
+        override val state: StateFlow<VerifierState> = MutableStateFlow(VerifierState.Idle)
+        override fun verify(query: String, items: List<CatalogItem>): Flow<Verdict> = flow {
+            calls += query to items.map { it.id }
+            for (item in items) emit(Verdict(item.id, 0.9, true, 1))
+        }
+    }
+
+    private val vectors = floatArrayOf(1f, 0f, 0f, 0.8f, 0.6f, 0f, 0f, 0f, 1f)
+
+    private fun viewModel(engine: FakeEngine, verifier: RecordingVerifier) = EmojiSearchViewModel(
+        loadEngine = { engine },
+        loadIndex = { _, _ -> CatalogIndex(items, vectors, 3) },
+        calibration = Calibration(k = 20.0, x0 = 0.7),
+        verifier = verifier,
+        embedDispatcher = dispatcher,
+        debounceMs = 120,
+        stableMs = 500,
+        verifierTopK = 6,
+    )
+
+    @Test
+    fun fast_keystrokes_collapse_into_one_embedding_and_the_verifier_waits_for_a_stable_query() = runTest(dispatcher) {
+        val engine = FakeEngine()
+        val verifier = RecordingVerifier()
+        val vm = viewModel(engine, verifier)
+        runCurrent()
+        assertEquals(LoadState.Ready, vm.status.value)
+        assertEquals(3, vm.ranked.value.size, "unranked catalog shown before typing")
+
+        for (q in listOf("f", "fo", "foo", "food")) {
+            vm.query.value = q
+            advanceTimeBy(30)
+        }
+        advanceTimeBy(130)
+        runCurrent()
+        assertEquals(listOf("food"), engine.embedded, "one embedding for five fast keystrokes")
+        assertEquals(listOf("B", "A", "C"), vm.ranked.value.map { it.item.id }, "salad (B) is the exact match, pizza (A) close behind")
+        assertTrue(verifier.calls.isEmpty(), "verifier not called before the query is stable")
+
+        advanceTimeBy(600)
+        runCurrent()
+        assertEquals(listOf("food" to listOf("B", "A")), verifier.calls, "only the TOP tier goes to the verifier, in rank order")
+        assertEquals(setOf("A", "B"), vm.verdicts.value.keys)
+
+        vm.query.value = "music"
+        advanceTimeBy(130)
+        runCurrent()
+        assertTrue(vm.verdicts.value.isEmpty(), "verdicts cleared when the query changes")
+        assertEquals("C", vm.ranked.value.first().item.id)
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/model/LeafDownloads.kt b/SemanticEmojiFilter/shared/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/model/LeafDownloads.kt
new file mode 100644
index 0000000..ba06485
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/model/LeafDownloads.kt
@@ -0,0 +1,68 @@
+package sk.ainet.samples.emoji.model
+
+import java.io.File
+import kotlin.time.TimeSource
+import kotlinx.io.Buffer
+import kotlinx.io.buffered
+import kotlinx.io.files.SystemFileSystem
+import sk.ainet.data.source.KtorRemoteDataSourceFetcher
+import sk.ainet.samples.emoji.engine.LeafFiles
+import sk.ainet.samples.emoji.platform.logEvent
+import kotlinx.io.files.Path as KotlinxPath
+
+/**
+ * Fetches every checkpoint file that is missing or truncated in [dir], streamed straight to
+ * disk through SKaiNET's Ktor fetcher: the 90 MB encoder never sits on the heap. Shared by the
+ * desktop and the Android provider (both are JVM code).
+ */
+suspend fun downloadMissingLeafFiles(dir: File, onProgress: (String) -> Unit, headers: Map<String, String> = emptyMap()) {
+    val plans = LeafFiles.ALL.map { file ->
+        val target = File(dir, file)
+        LeafResolver.plan(target.path, LeafFiles.url(file), target.takeIf { it.isFile }?.length(), LeafFiles.SIZES[file])
+    }
+    val downloads = plans.filterIsInstance<FilePlan.Download>()
+    if (downloads.isEmpty()) {
+        logEvent("model_cached", "dir" to dir.path)
+        return
+    }
+    val fetcher = KtorRemoteDataSourceFetcher()
+    try {
+        for (plan in downloads) {
+            val target = File(plan.path)
+            target.parentFile.mkdirs()
+            val tmp = File(LeafResolver.partPath(plan.path))
+            val startedAt = TimeSource.Monotonic.markNow()
+            var received = 0L
+            logEvent("download_start", "url" to plan.url)
+            try {
+                val content = fetcher.fetch(plan.url, headers)
+                val totalMb = content.sizeBytes?.let { (it / 1_000_000).toString() } ?: "?"
+                content.source.use { source ->
+                    SystemFileSystem.sink(KotlinxPath(tmp.path)).buffered().use { sink ->
+                        val chunk = Buffer()
+                        var lastReported = -1L
+                        while (true) {
+                            val n = source.readAtMostTo(chunk, 1024 * 1024)
+                            if (n == -1L) break
+                            sink.write(chunk, n)
+                            received += n
+                            val mb = received / 1_000_000
+                            if (mb != lastReported) {
+                                lastReported = mb
+                                onProgress("Downloading ${target.name}… $mb / $totalMb MB")
+                            }
+                        }
+                    }
+                }
+                check(tmp.renameTo(target)) { "rename failed: $tmp -> $target" }
+                logEvent("download_done", "file" to target.name, "fileMB" to received / 1_000_000, "durMs" to startedAt.elapsedNow().inWholeMilliseconds)
+            } catch (e: Exception) {
+                tmp.delete()
+                logEvent("download_failed", "file" to target.name, "receivedMB" to received / 1_000_000, "error" to (e.message ?: e::class.simpleName))
+                throw e
+            }
+        }
+    } finally {
+        fetcher.close()
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/model/DesktopLeafProvider.kt b/SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/model/DesktopLeafProvider.kt
new file mode 100644
index 0000000..9f0d396
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/model/DesktopLeafProvider.kt
@@ -0,0 +1,23 @@
+package sk.ainet.samples.emoji.model
+
+import java.io.File
+import sk.ainet.samples.emoji.engine.LeafSource
+
+/**
+ * Desktop has no bundled-asset concept, so this is cache-hit-or-download per file: the
+ * checkpoint lands in `~/.skainet-examples/semantic-emoji-filter/leaf/` in the Hugging Face
+ * layout and is reused across runs (and by the CLI).
+ */
+class DesktopLeafProvider(
+    private val cacheDir: String = defaultLeafCacheDir(),
+) : LeafProvider {
+    override suspend fun resolve(onProgress: (String) -> Unit): LeafSource {
+        val dir = File(cacheDir).apply { mkdirs() }
+        downloadMissingLeafFiles(dir, onProgress)
+        return LeafSource.Directory(dir.path)
+    }
+}
+
+fun defaultLeafCacheDir(): String =
+    System.getenv("LEAF_MODEL_DIR")?.takeIf { it.isNotBlank() }
+        ?: File(System.getProperty("user.home"), ".skainet-examples/semantic-emoji-filter/leaf").path
diff --git a/SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/platform/Platform.jvm.kt b/SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/platform/Platform.jvm.kt
new file mode 100644
index 0000000..925ce84
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/jvmMain/kotlin/sk/ainet/samples/emoji/platform/Platform.jvm.kt
@@ -0,0 +1,16 @@
+package sk.ainet.samples.emoji.platform
+
+import java.io.File
+import sk.ainet.exec.kernel.PanamaVectorKernelProvider
+
+actual val currentSamplePlatform: SamplePlatform = SamplePlatform.DESKTOP
+
+/** Static capability probe, so the label is right before the kernel registry is populated. */
+actual fun kernelTierLabel(): String =
+    if (PanamaVectorKernelProvider.isAvailable()) "Panama Vector (SIMD)" else "JVM (scalar)"
+
+actual fun readTextFile(path: String): String = File(path).readText()
+
+internal actual fun platformLog(line: String) {
+    println("[SKAINET_PERF_JVM] $line")
+}
diff --git a/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/CatalogSchemaTest.kt b/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/CatalogSchemaTest.kt
new file mode 100644
index 0000000..908d7f6
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/CatalogSchemaTest.kt
@@ -0,0 +1,48 @@
+package sk.ainet.samples.emoji
+
+import java.io.File
+import java.security.MessageDigest
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertTrue
+import sk.ainet.samples.emoji.domain.Catalog
+
+/** The bundled catalog files, read relative to the module directory. */
+object CatalogFiles {
+    val dir: File = listOf("../composeApp/src/commonMain/composeResources/files/catalog", "composeApp/src/commonMain/composeResources/files/catalog")
+        .map { File(it) }.first { it.isDirectory }
+    val catalog: Catalog by lazy { Catalog.parse(File(dir, "catalog.json").readText()) }
+    val embeddings: File get() = File(dir, "catalog-embeddings.bin")
+}
+
+class CatalogSchemaTest {
+    private val allowedTags = setOf("food", "healthy", "indulgent", "health", "sick", "music", "rock-band", "animal", "weather", "nature", "sport", "travel", "emotion", "object", "everyday")
+
+    @Test
+    fun catalog_is_complete_and_bilingual() {
+        val c = CatalogFiles.catalog
+        assertTrue(c.items.size >= 150, "catalog has ${c.items.size} items")
+        assertEquals(Catalog.EMBEDDING_TEXT_VERSION, c.embeddingTextVersion)
+        for (item in c.items) {
+            assertTrue(item.emoji.isNotBlank() && item.nameEn.isNotBlank() && item.nameDe.isNotBlank(), "names for ${item.id}")
+            assertTrue(item.keywordsEn.isNotEmpty(), "English keywords for ${item.id}")
+            assertTrue(item.tags.isNotEmpty() && item.tags.all { it in allowedTags }, "tags of ${item.id}: ${item.tags}")
+            assertTrue(item.group.isNotBlank(), "group of ${item.id}")
+        }
+        assertTrue(c.items.any { it.id == "1F355" } && c.items.any { it.id == "1F957" }, "the showcase pair pizza and salad is present")
+    }
+
+    @Test
+    fun shipped_embeddings_match_the_catalog_digest() {
+        val c = CatalogFiles.catalog
+        val bin = CatalogFiles.embeddings
+        if (!bin.isFile) {
+            println("catalog-embeddings.bin not generated yet (run the CLI embed-catalog); skipping")
+            return
+        }
+        val bytes = bin.readBytes()
+        assertEquals(c.items.size * 768 * 4, bytes.size, "one 768-d float32 row per item")
+        val sha = MessageDigest.getInstance("SHA-256").digest(bytes).joinToString("") { "%02x".format(it) }
+        assertEquals(c.embeddingsSha256, sha, "catalog.json records the digest of the shipped embeddings")
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/EmbeddingParityTest.kt b/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/EmbeddingParityTest.kt
new file mode 100644
index 0000000..14a637d
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/EmbeddingParityTest.kt
@@ -0,0 +1,55 @@
+package sk.ainet.samples.emoji
+
+import java.io.File
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertTrue
+import kotlinx.coroutines.runBlocking
+import kotlinx.serialization.Serializable
+import kotlinx.serialization.json.Json
+import sk.ainet.samples.emoji.engine.CatalogIndex
+import sk.ainet.samples.emoji.engine.LeafEmbeddingEngine
+import sk.ainet.samples.emoji.engine.LeafSource
+
+@Serializable
+data class ReferenceEmbedding(val text: String, val isQuery: Boolean = false, val vector: List<Float>)
+
+/**
+ * Model-gated (needs `LEAF_MODEL_DIR` with the checkpoint): re-embeds the catalog and checks
+ * it against the shipped embeddings, and against reference vectors from `sentence-transformers`
+ * when `reference-subset.json` is present.
+ */
+class EmbeddingParityTest {
+    private val modelDir = System.getenv("LEAF_MODEL_DIR")?.takeIf { File(it, "model.safetensors").isFile }
+
+    @Test
+    fun shipped_embeddings_are_reproduced_by_the_engine() {
+        val dir = modelDir ?: run { println("LEAF_MODEL_DIR not set; skipping"); return }
+        if (!CatalogFiles.embeddings.isFile) { println("no catalog-embeddings.bin; skipping"); return }
+        val engine = runBlocking { LeafEmbeddingEngine.load(LeafSource.Directory(dir)) }
+        val catalog = CatalogFiles.catalog
+        val shipped = CatalogIndex.fromBytes(catalog.items, CatalogFiles.embeddings.readBytes(), engine.dimensions)
+        val rebuilt = CatalogIndex.build(catalog.items, engine)
+        var worst = 1f
+        for (i in catalog.items.indices) {
+            val c = CatalogIndex.cosine(shipped.vector(i), rebuilt.vector(i))
+            if (c < worst) worst = c
+            assertTrue(c >= 0.999f, "item ${catalog.items[i].id}: cosine to shipped embedding $c")
+        }
+        println("parity: worst cosine to the shipped embeddings $worst")
+    }
+
+    @Test
+    fun reference_vectors_from_sentence_transformers_agree() {
+        val dir = modelDir ?: return
+        val ref = File(CatalogFiles.dir, "reference-subset.json").takeIf { it.isFile } ?: run { println("no reference-subset.json; skipping"); return }
+        val engine = runBlocking { LeafEmbeddingEngine.load(LeafSource.Directory(dir)) }
+        val refs = Json { ignoreUnknownKeys = true }.decodeFromString<List<ReferenceEmbedding>>(ref.readText())
+        for (r in refs) {
+            val ours = if (r.isQuery) engine.embedQuery(r.text) else engine.embed(r.text)
+            assertEquals(r.vector.size, ours.size)
+            val c = CatalogIndex.cosine(ours, r.vector.toFloatArray())
+            assertTrue(c >= 0.99f, "'${r.text}': cosine to the reference $c")
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/RankingGoldenTest.kt b/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/RankingGoldenTest.kt
new file mode 100644
index 0000000..7770f17
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/jvmTest/kotlin/sk/ainet/samples/emoji/RankingGoldenTest.kt
@@ -0,0 +1,53 @@
+package sk.ainet.samples.emoji
+
+import java.io.File
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertTrue
+import kotlinx.serialization.Serializable
+import kotlinx.serialization.json.Json
+import sk.ainet.samples.emoji.domain.Calibration
+import sk.ainet.samples.emoji.engine.CatalogIndex
+
+@Serializable
+data class GoldenQuery(val query: String, val vector: List<Float>, val expectedTop: List<String>)
+
+/**
+ * Ranks the recorded query vectors against the shipped catalog embeddings: exercises the sweep,
+ * the calibration and the catalog files together without loading the model.
+ */
+class RankingGoldenTest {
+    private val goldenFile = File(CatalogFiles.dir, "golden-queries.json")
+
+    @Test
+    fun recorded_queries_rank_their_expected_items_first() {
+        if (!goldenFile.isFile || !CatalogFiles.embeddings.isFile) {
+            println("golden files not generated yet (CLI embed-catalog + golden); skipping")
+            return
+        }
+        val catalog = CatalogFiles.catalog
+        val index = CatalogIndex.fromBytes(catalog.items, CatalogFiles.embeddings.readBytes())
+        val calibration = Calibration.parse(File(CatalogFiles.dir, "calibration.json").readText())
+        val goldens = Json { ignoreUnknownKeys = true }.decodeFromString<List<GoldenQuery>>(goldenFile.readText())
+        assertTrue(goldens.size >= 3)
+        for (g in goldens) {
+            val ranked = index.rank(g.vector.toFloatArray(), calibration)
+            assertEquals(g.expectedTop, ranked.take(g.expectedTop.size).map { it.item.id }, "top of '${g.query}'")
+            assertTrue(ranked.first().confidence >= ranked.last().confidence, "confidence follows cosine for '${g.query}'")
+        }
+    }
+
+    @Test
+    fun the_showcase_pair_is_ordered_as_the_demo_claims() {
+        if (!goldenFile.isFile || !CatalogFiles.embeddings.isFile) return
+        val catalog = CatalogFiles.catalog
+        val index = CatalogIndex.fromBytes(catalog.items, CatalogFiles.embeddings.readBytes())
+        val calibration = Calibration.parse(File(CatalogFiles.dir, "calibration.json").readText())
+        val healthy = Json { ignoreUnknownKeys = true }.decodeFromString<List<GoldenQuery>>(goldenFile.readText()).first { it.query == "healthy things to eat" }
+        val ranked = index.rank(healthy.vector.toFloatArray(), calibration)
+        val salad = ranked.indexOfFirst { it.item.id == "1F957" }
+        val pizza = ranked.indexOfFirst { it.item.id == "1F355" }
+        assertTrue(salad in 0 until 10, "salad is in the top ten for a healthy query (rank $salad)")
+        assertTrue(salad < pizza, "salad ranks above pizza by vector alone (salad $salad, pizza $pizza)")
+    }
+}
diff --git a/SemanticEmojiFilter/shared/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/platform/Platform.wasmJs.kt b/SemanticEmojiFilter/shared/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/platform/Platform.wasmJs.kt
new file mode 100644
index 0000000..eb11b7c
--- /dev/null
+++ b/SemanticEmojiFilter/shared/src/wasmJsMain/kotlin/sk/ainet/samples/emoji/platform/Platform.wasmJs.kt
@@ -0,0 +1,11 @@
+package sk.ainet.samples.emoji.platform
+
+actual val currentSamplePlatform: SamplePlatform = SamplePlatform.WEB
+
+actual fun kernelTierLabel(): String = "Wasm (scalar)"
+
+actual fun readTextFile(path: String): String = error("the web build has no filesystem ($path); use LeafSource.Bytes")
+
+internal actual fun platformLog(line: String) {
+    println("[SKAINET_PERF_WASM] $line")
+}
diff --git a/SemanticEmojiFilter/verifier/build.gradle.kts b/SemanticEmojiFilter/verifier/build.gradle.kts
new file mode 100644
index 0000000..f3e06e6
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/build.gradle.kts
@@ -0,0 +1,52 @@
+import org.jetbrains.kotlin.gradle.dsl.JvmTarget
+
+// The Laya decision model as a second-stage verifier. Desktop and Android only: the checkpoint
+// is 644 MB of F16 weights (about 1.3 GB as FP32 in memory), far outside the web budget.
+plugins {
+    alias(libs.plugins.kotlinMultiplatform)
+    alias(libs.plugins.androidMultiplatformLibrary)
+}
+
+kotlin {
+    jvmToolchain(21)
+
+    android {
+        namespace = "sk.ainet.samples.emoji.verifier"
+        compileSdk = libs.versions.android.compileSdk.get().toInt()
+        minSdk = libs.versions.android.minSdk.get().toInt()
+        compilerOptions {
+            jvmTarget.set(JvmTarget.JVM_21)
+        }
+    }
+
+    jvm()
+
+    sourceSets {
+        commonMain.dependencies {
+            api(projects.shared)
+            implementation(libs.kotlinx.coroutines)
+            api(libs.skainet.transformers.decisions.api)
+            implementation(libs.skainet.transformers.decisions.runtime)
+            implementation(libs.skainet.transformers.inference.laya)
+        }
+        // Desktop and Android share the file-based checkpoint source (both are JVM code).
+        val jvmAndroidMain by creating {
+            dependsOn(commonMain.get())
+            dependencies {
+                implementation(libs.kotlinx.io.core)
+                implementation(libs.skainet.data.source)
+            }
+        }
+        jvmMain { dependsOn(jvmAndroidMain) }
+        androidMain { dependsOn(jvmAndroidMain) }
+        commonTest.dependencies {
+            implementation(libs.kotlin.test)
+            implementation(libs.kotlinx.coroutines.test)
+        }
+    }
+}
+
+tasks.withType<Test>().configureEach {
+    jvmArgs("--add-modules", "jdk.incubator.vector", "--enable-preview", "-Dskainet.cpu.vector.enabled=true")
+    maxHeapSize = "6g"
+}
diff --git a/SemanticEmojiFilter/verifier/src/androidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.android.kt b/SemanticEmojiFilter/verifier/src/androidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.android.kt
new file mode 100644
index 0000000..839217d
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/androidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.android.kt
@@ -0,0 +1,46 @@
+package sk.ainet.samples.emoji.verifier
+
+import android.content.Context
+import java.io.File
+import kotlinx.coroutines.runBlocking
+import sk.ainet.context.ExecutionContext
+import sk.ainet.io.AndroidRandomAccessSource
+import sk.ainet.io.safetensors.SafeTensorsParametersLoader
+import sk.ainet.io.weights.WeightTensor
+import sk.ainet.lang.types.FP32
+import sk.ainet.models.laya.LayaAgent
+import sk.ainet.models.laya.LayaCheckpointFiles
+import sk.ainet.models.laya.LayaDecisionModel
+import sk.ainet.models.laya.LayaPreprocessor
+import sk.ainet.models.laya.LayaWeightPreparation
+
+/**
+ * The library's `LayaModelLoader` is JVM-only (java.nio.file); this is the same six steps over
+ * Android's file source. F16 weights are up-cast to FP32 on load, as the reference does on CPU.
+ */
+actual fun loadLayaAgent(directory: String, ctx: ExecutionContext): LayaAgent<FP32> {
+    val dir = File(directory)
+    fun text(path: String) = File(dir, path).readText()
+    val files = LayaCheckpointFiles(
+        agentConfigJson = text("rl_agent_config.json"),
+        encoderConfigJson = text("encoder/config.json"),
+        tokenizerJson = text("tokenizer/tokenizer.json"),
+        tokenizerConfigJson = text("tokenizer/tokenizer_config.json"),
+    )
+    val preprocessor = LayaPreprocessor.fromFiles(files)
+    val weights = File(dir, "model.safetensors")
+    require(weights.isFile) { "no model.safetensors in $directory" }
+    val raw = ArrayList<WeightTensor<FP32, Float>>()
+    runBlocking {
+        SafeTensorsParametersLoader(sourceProvider = { AndroidRandomAccessSource.open(weights) })
+            .load<FP32, Float>(ctx, FP32::class) { name, tensor ->
+                raw += WeightTensor(name, tensor.shape.dimensions.toList(), tensor)
+            }
+    }
+    val prepared = LayaWeightPreparation.prepare(raw, preprocessor.encoderConfig, preprocessor.agentConfig, ctx, FP32::class)
+    val model = LayaDecisionModel.build(preprocessor.encoderConfig, preprocessor.agentConfig, prepared, ctx, FP32::class, exactGelu = true)
+    return LayaAgent(preprocessor, model)
+}
+
+/** Android: the checkpoint lands in `filesDir/laya-multilingual`. */
+fun layaAndroidSource(context: Context): DecisionAdapterSource = LayaFileSource(File(context.filesDir, "laya-multilingual"))
diff --git a/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/DecisionAdapterSource.kt b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/DecisionAdapterSource.kt
new file mode 100644
index 0000000..0779c87
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/DecisionAdapterSource.kt
@@ -0,0 +1,16 @@
+package sk.ainet.samples.emoji.verifier
+
+import sk.ainet.decisions.DecisionAdapter
+
+/**
+ * Where the decision model comes from. This is the seam a SKaiNET decision cartridge replaces
+ * later: today the Laya checkpoint is downloaded file by file and loaded through the
+ * transformers adapter; a cartridge-backed source would open a bundled or locally imported
+ * cartridge instead. Nothing above this interface knows the difference.
+ */
+interface DecisionAdapterSource {
+    val modelId: String
+
+    /** Loads the model; called once, on the first verification, off the UI thread. */
+    suspend fun open(onProgress: (String) -> Unit): DecisionAdapter
+}
diff --git a/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/EmojiMatchSchema.kt b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/EmojiMatchSchema.kt
new file mode 100644
index 0000000..a1aca28
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/EmojiMatchSchema.kt
@@ -0,0 +1,46 @@
+package sk.ainet.samples.emoji.verifier
+
+import sk.ainet.decisions.dsl.DecisionSchema
+import sk.ainet.decisions.dsl.decisionSchema
+import sk.ainet.samples.emoji.domain.CatalogItem
+
+/** The one question the verifier asks per candidate, and the policy that turns a probability into a verdict. */
+object EmojiMatchSchema {
+    const val MODEL_ID = "laya-multilingual"
+    const val QUESTION = "match"
+
+    const val STATEMENT = "The emoji described in the context is a good answer to the user's search."
+    const val WHEN_FALSE = "no, it does not fit the search"
+    const val WHEN_TRUE = "yes, it fits the search"
+
+    val schema: DecisionSchema = schema()
+
+    /** The schema with a different wording, for experiments from the CLI (`verify --statement ...`). */
+    /**
+     * Acceptance band, measured on the base checkpoint (see README): it is conservative, so a
+     * candidate is rejected only below 0.2 and accepted from 0.6; in between the badge shows "?".
+     */
+    const val REJECT_BELOW = 0.2
+    const val ACCEPT_FROM = 0.6
+
+    fun schema(statement: String = STATEMENT, whenFalse: String = WHEN_FALSE, whenTrue: String = WHEN_TRUE, lower: Double = REJECT_BELOW, upper: Double = ACCEPT_FROM): DecisionSchema =
+        decisionSchema("emoji-match") {
+            model(MODEL_ID)
+            probability(QUESTION, statement) {
+                this.whenFalse = whenFalse
+                this.whenTrue = whenTrue
+            }
+            policy(version = "1") {
+                // P(true) <= lower rejects, >= upper accepts, in between the model abstains and the badge shows "?".
+                boolean { abstainBetween(lower, upper) }
+            }
+        }
+
+    /** What the decision model reads: the query and one item with its English name and keywords. */
+    fun state(query: String, item: CatalogItem): String = buildString {
+        append("User search: \"").append(query.trim()).append("\"\n")
+        append("Emoji: ").append(item.emoji).append(' ').append(item.nameEn)
+        if (item.keywordsEn.isNotEmpty()) append(" — ").append(item.keywordsEn.take(6).joinToString(", "))
+        if (item.nameDe.isNotBlank() && item.nameDe != item.nameEn) append(" (").append(item.nameDe).append(')')
+    }
+}
diff --git a/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.kt b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.kt
new file mode 100644
index 0000000..a7e8a9b
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.kt
@@ -0,0 +1,8 @@
+package sk.ainet.samples.emoji.verifier
+
+import sk.ainet.context.ExecutionContext
+import sk.ainet.lang.types.FP32
+import sk.ainet.models.laya.LayaAgent
+
+/** Builds the agent from a checkpoint directory; the JVM has a loader in the library, Android replicates it. */
+expect fun loadLayaAgent(directory: String, ctx: ExecutionContext): LayaAgent<FP32>
diff --git a/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaCheckpoint.kt b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaCheckpoint.kt
new file mode 100644
index 0000000..ef2357f
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaCheckpoint.kt
@@ -0,0 +1,23 @@
+package sk.ainet.samples.emoji.verifier
+
+/**
+ * The multilingual Laya checkpoint (mmBERT-base encoder, Apache-2.0, Convai Innovations) as
+ * published on Hugging Face: a directory of five files, addressed by their path inside it.
+ */
+object LayaCheckpoint {
+    const val HF_REPO = "convaiinnovations/laya"
+    const val HF_REVISION = "7b928d828b7b0e022f929d9bd2e44165aa270148"
+    const val HF_DIR = "multilingual"
+
+    val FILES: List<String> = listOf(
+        "rl_agent_config.json",
+        "encoder/config.json",
+        "tokenizer/tokenizer.json",
+        "tokenizer/tokenizer_config.json",
+        "model.safetensors",
+    )
+
+    val SIZES: Map<String, Long> = mapOf("model.safetensors" to 643_835_514L)
+
+    fun url(file: String): String = "https://huggingface.co/$HF_REPO/resolve/$HF_REVISION/$HF_DIR/$file"
+}
diff --git a/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifier.kt b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifier.kt
new file mode 100644
index 0000000..5e7ca00
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/commonMain/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifier.kt
@@ -0,0 +1,114 @@
+package sk.ainet.samples.emoji.verifier
+
+import kotlin.time.TimeSource
+import kotlinx.coroutines.CoroutineDispatcher
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.ExperimentalCoroutinesApi
+import kotlinx.coroutines.ensureActive
+import kotlinx.coroutines.flow.Flow
+import kotlinx.coroutines.flow.MutableStateFlow
+import kotlinx.coroutines.flow.StateFlow
+import kotlinx.coroutines.flow.flow
+import kotlinx.coroutines.sync.Mutex
+import kotlinx.coroutines.sync.withLock
+import kotlinx.coroutines.withContext
+import sk.ainet.decisions.DecisionAdapter
+import sk.ainet.decisions.boolean
+import sk.ainet.decisions.probabilityTrue
+import sk.ainet.decisions.runtime.DecisionRuntime
+import sk.ainet.decisions.runtime.DecisionSession
+import sk.ainet.decisions.runtime.decide
+import sk.ainet.decisions.runtime.openSession
+import sk.ainet.samples.emoji.domain.CatalogItem
+import sk.ainet.samples.emoji.platform.logEvent
+import sk.ainet.samples.emoji.verify.Verdict
+import sk.ainet.samples.emoji.verify.Verifier
+import sk.ainet.samples.emoji.verify.VerifierState
+
+/**
+ * System 2: asks the Laya decision model, per candidate, whether the item fits the search.
+ *
+ * One request per item, in rank order, on a single-threaded dispatcher: the adapter runs one
+ * encoder pass per question anyway, so this costs nothing extra and gives a cancellation point
+ * after every item (a few seconds each on a laptop) instead of one long uncancellable call.
+ * Verdicts are cached by (query, item), so retyping a query is free.
+ */
+@OptIn(ExperimentalCoroutinesApi::class)
+class LayaVerifier(
+    private val source: DecisionAdapterSource,
+    private val schema: sk.ainet.decisions.dsl.DecisionSchema = EmojiMatchSchema.schema,
+    private val dispatcher: CoroutineDispatcher = Dispatchers.Default.limitedParallelism(1),
+    private val cacheSize: Int = 256,
+) : Verifier {
+    private val _state = MutableStateFlow<VerifierState>(VerifierState.Idle)
+    override val state: StateFlow<VerifierState> = _state
+
+    private val loadMutex = Mutex()
+    private var session: DecisionSession? = null
+    private var runtime: DecisionRuntime? = null
+    private val cache = LinkedHashMap<String, Verdict>()
+
+    override fun verify(query: String, items: List<CatalogItem>): Flow<Verdict> = flow {
+        if (items.isEmpty()) return@flow
+        val open = try {
+            openSession()
+        } catch (t: Throwable) {
+            _state.value = VerifierState.Error(t.message ?: t::class.simpleName ?: "load failed")
+            logEvent("verifier_load_failed", "error" to (t.message ?: t::class.simpleName))
+            return@flow
+        }
+        try {
+            items.forEachIndexed { index, item ->
+                _state.value = VerifierState.Busy(index, items.size)
+                val key = "$query\u0000${item.id}"
+                val verdict = cache[key] ?: withContext(dispatcher) { decide(open, query, item) }.also { remember(key, it) }
+                currentCoroutineContext().ensureActive()
+                emit(verdict)
+            }
+        } finally {
+            _state.value = VerifierState.Idle
+        }
+    }
+
+    private suspend fun openSession(): DecisionSession = loadMutex.withLock {
+        session?.let { return it }
+        _state.value = VerifierState.Loading("loading ${source.modelId}…")
+        val started = TimeSource.Monotonic.markNow()
+        val adapter: DecisionAdapter = withContext(dispatcher) { source.open { _state.value = VerifierState.Loading(it) } }
+        val rt = DecisionRuntime(listOf(adapter))
+        val s = rt.openSession(schema)
+        runtime = rt
+        session = s
+        logEvent("verifier_loaded", "model" to source.modelId, "loadMs" to started.elapsedNow().inWholeMilliseconds)
+        _state.value = VerifierState.Idle
+        s
+    }
+
+    private fun decide(session: DecisionSession, query: String, item: CatalogItem): Verdict {
+        val started = TimeSource.Monotonic.markNow()
+        val result = session.decide(schema, "match-${item.id}", EmojiMatchSchema.state(query, item))
+        val ms = started.elapsedNow().inWholeMilliseconds
+        val verdict = Verdict(
+            itemId = item.id,
+            probabilityTrue = result.probabilityTrue(EmojiMatchSchema.QUESTION),
+            accepted = result.boolean(EmojiMatchSchema.QUESTION),
+            millis = ms,
+        )
+        logEvent("verifier_decision", "item" to item.id, "pTrue" to verdict.probabilityTrue, "accepted" to verdict.accepted, "ms" to ms)
+        return verdict
+    }
+
+    private fun remember(key: String, verdict: Verdict) {
+        cache[key] = verdict
+        if (cache.size > cacheSize) cache.remove(cache.keys.first())
+    }
+
+    fun close() {
+        session?.close()
+        runtime?.close()
+        session = null
+        runtime = null
+    }
+}
+
+private suspend fun currentCoroutineContext() = kotlinx.coroutines.currentCoroutineContext()
diff --git a/SemanticEmojiFilter/verifier/src/commonTest/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifierTest.kt b/SemanticEmojiFilter/verifier/src/commonTest/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifierTest.kt
new file mode 100644
index 0000000..25f25b0
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/commonTest/kotlin/sk/ainet/samples/emoji/verifier/LayaVerifierTest.kt
@@ -0,0 +1,94 @@
+package sk.ainet.samples.emoji.verifier
+
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertNull
+import kotlin.test.assertTrue
+import kotlinx.coroutines.Dispatchers
+import kotlinx.coroutines.flow.first
+import kotlinx.coroutines.flow.take
+import kotlinx.coroutines.flow.toList
+import kotlinx.coroutines.test.runTest
+import sk.ainet.decisions.AdapterCapabilities
+import sk.ainet.decisions.AdapterOutcome
+import sk.ainet.decisions.CalibrationStatus
+import sk.ainet.decisions.Confidence
+import sk.ainet.decisions.ConfidenceDefinition
+import sk.ainet.decisions.DecisionAdapter
+import sk.ainet.decisions.DecisionQuestion
+import sk.ainet.decisions.DecisionState
+import sk.ainet.decisions.InferencePolicy
+import sk.ainet.decisions.LanguageSupport
+import sk.ainet.decisions.Prediction
+import sk.ainet.decisions.Primitive
+import sk.ainet.decisions.QuestionTrace
+import sk.ainet.samples.emoji.domain.CatalogItem
+
+/** Reads the answer off the state text: pizza is a confident "no", salad a confident "yes", apple undecided. */
+private class ScriptedAdapter : DecisionAdapter {
+    val states = ArrayList<String>()
+    var closed = false
+
+    override val capabilities = AdapterCapabilities(
+        modelId = EmojiMatchSchema.MODEL_ID, primitives = setOf(Primitive.CHOICE, Primitive.SCORE, Primitive.BOOLEAN_PROBABILITY),
+        languages = LanguageSupport.Unrestricted, maxContextTokens = 512, maxOptionTokens = 192, maxOptions = 44,
+        maxQuestionsPerRequest = 64, batchSupport = false, backend = "test", precision = "fp32",
+        calibration = CalibrationStatus.UNVERIFIED, calibrationIdentity = "none", preprocessingVersion = "test/1",
+    )
+
+    override fun predict(state: DecisionState, questions: List<DecisionQuestion>, inference: InferencePolicy): List<AdapterOutcome> {
+        val text = (state as DecisionState.Text).text
+        states += text
+        val p = when {
+            "pizza" in text -> 0.12
+            "salad" in text -> 0.91
+            else -> 0.5
+        }
+        return questions.map { q ->
+            AdapterOutcome.Candidate(q.id, Prediction.BooleanProbability(p, Confidence(maxOf(p, 1 - p), ConfidenceDefinition.TWO_WAY_MAX)), QuestionTrace(q.id, 40, 20, 0))
+        }
+    }
+
+    override fun close() { closed = true }
+}
+
+private class ScriptedSource(val adapter: ScriptedAdapter = ScriptedAdapter()) : DecisionAdapterSource {
+    var opened = 0
+    override val modelId = EmojiMatchSchema.MODEL_ID
+    override suspend fun open(onProgress: (String) -> Unit): sk.ainet.decisions.DecisionAdapter { opened++; return adapter }
+}
+
+class LayaVerifierTest {
+    private val pizza = CatalogItem("1F355", "🍕", "pizza", "Pizza", listOf("cheese", "food", "pepperoni", "pizza", "slice"))
+    private val salad = CatalogItem("1F957", "🥗", "green salad", "Salat", listOf("food", "green", "salad"))
+    private val apple = CatalogItem("1F34E", "🍎", "red apple", "roter Apfel", listOf("apple", "fruit", "red"))
+
+    @Test
+    fun one_request_per_item_in_rank_order_with_typed_verdicts() = runTest {
+        val source = ScriptedSource()
+        val verifier = LayaVerifier(source, dispatcher = Dispatchers.Unconfined)
+        val verdicts = verifier.verify("healthy things to eat", listOf(salad, pizza, apple)).toList()
+
+        assertEquals(listOf("1F957", "1F355", "1F34E"), verdicts.map { it.itemId })
+        assertEquals(true, verdicts[0].accepted)
+        assertEquals(0.91, verdicts[0].probabilityTrue)
+        assertEquals(false, verdicts[1].accepted)
+        assertNull(verdicts[2].accepted, "0.5 lies inside the abstention band (${EmojiMatchSchema.REJECT_BELOW}, ${EmojiMatchSchema.ACCEPT_FROM})")
+        assertEquals(0.5, verdicts[2].probabilityTrue)
+        assertEquals(3, source.adapter.states.size, "one request per item")
+        assertTrue(source.adapter.states[0].startsWith("User search: \"healthy things to eat\"\nEmoji: 🥗 green salad — food, green, salad"), source.adapter.states[0])
+        assertEquals(1, source.opened, "the model loads once")
+    }
+
+    @Test
+    fun cancellation_stops_after_the_current_item_and_repeats_hit_the_cache() = runTest {
+        val source = ScriptedSource()
+        val verifier = LayaVerifier(source, dispatcher = Dispatchers.Unconfined)
+        val first = verifier.verify("snack", listOf(pizza, salad, apple)).first()
+        assertEquals("1F355", first.itemId)
+        assertEquals(1, source.adapter.states.size, "the collector stopped after the first verdict")
+
+        verifier.verify("snack", listOf(pizza, salad)).take(2).toList()
+        assertEquals(2, source.adapter.states.size, "pizza came from the cache, only salad was asked")
+    }
+}
diff --git a/SemanticEmojiFilter/verifier/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaFileSource.kt b/SemanticEmojiFilter/verifier/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaFileSource.kt
new file mode 100644
index 0000000..69e995c
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/jvmAndroidMain/kotlin/sk/ainet/samples/emoji/verifier/LayaFileSource.kt
@@ -0,0 +1,79 @@
+package sk.ainet.samples.emoji.verifier
+
+import java.io.File
+import kotlin.time.TimeSource
+import kotlinx.io.Buffer
+import kotlinx.io.buffered
+import kotlinx.io.files.SystemFileSystem
+import sk.ainet.context.DirectCpuExecutionContext
+import sk.ainet.data.source.KtorRemoteDataSourceFetcher
+import sk.ainet.decisions.DecisionAdapter
+import sk.ainet.models.laya.LayaDecisionAdapter
+import sk.ainet.samples.emoji.platform.logEvent
+import kotlinx.io.files.Path as KotlinxPath
+
+/**
+ * The checkpoint as a directory of downloaded files (desktop cache dir or Android filesDir),
+ * loaded through the transformers Laya adapter. The cartridge-backed source of the future
+ * implements the same [DecisionAdapterSource] and makes this class obsolete.
+ */
+class LayaFileSource(
+    private val directory: File,
+    private val headers: Map<String, String> = emptyMap(),
+) : DecisionAdapterSource {
+    override val modelId: String = EmojiMatchSchema.MODEL_ID
+
+    override suspend fun open(onProgress: (String) -> Unit): DecisionAdapter {
+        directory.mkdirs()
+        downloadMissing(onProgress)
+        onProgress("building ${modelId} (FP32, exact GELU)…")
+        val started = TimeSource.Monotonic.markNow()
+        val agent = loadLayaAgent(directory.path, DirectCpuExecutionContext())
+        logEvent("laya_loaded", "dir" to directory.path, "loadMs" to started.elapsedNow().inWholeMilliseconds)
+        return LayaDecisionAdapter(agent, modelId)
+    }
+
+    private suspend fun downloadMissing(onProgress: (String) -> Unit) {
+        val missing = LayaCheckpoint.FILES.filter { file ->
+            val f = File(directory, file)
+            !f.isFile || (LayaCheckpoint.SIZES[file]?.let { f.length() < it } ?: false)
+        }
+        if (missing.isEmpty()) return
+        val fetcher = KtorRemoteDataSourceFetcher()
+        try {
+            for (file in missing) {
+                val target = File(directory, file).also { it.parentFile.mkdirs() }
+                val tmp = File(target.path + ".part")
+                var received = 0L
+                try {
+                    val content = fetcher.fetch(LayaCheckpoint.url(file), headers)
+                    val totalMb = content.sizeBytes?.let { (it / 1_000_000).toString() } ?: "?"
+                    content.source.use { source ->
+                        SystemFileSystem.sink(KotlinxPath(tmp.path)).buffered().use { sink ->
+                            val chunk = Buffer()
+                            var lastReported = -1L
+                            while (true) {
+                                val n = source.readAtMostTo(chunk, 1024 * 1024)
+                                if (n == -1L) break
+                                sink.write(chunk, n)
+                                received += n
+                                val mb = received / 1_000_000
+                                if (mb != lastReported) {
+                                    lastReported = mb
+                                    onProgress("downloading Laya ${target.name}… $mb / $totalMb MB")
+                                }
+                            }
+                        }
+                    }
+                    check(tmp.renameTo(target)) { "rename failed: $tmp -> $target" }
+                    logEvent("laya_download_done", "file" to file, "fileMB" to received / 1_000_000)
+                } catch (e: Exception) {
+                    tmp.delete()
+                    throw e
+                }
+            }
+        } finally {
+            fetcher.close()
+        }
+    }
+}
diff --git a/SemanticEmojiFilter/verifier/src/jvmMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.jvm.kt b/SemanticEmojiFilter/verifier/src/jvmMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.jvm.kt
new file mode 100644
index 0000000..cdc65b9
--- /dev/null
+++ b/SemanticEmojiFilter/verifier/src/jvmMain/kotlin/sk/ainet/samples/emoji/verifier/LayaAgentLoader.jvm.kt
@@ -0,0 +1,19 @@
+package sk.ainet.samples.emoji.verifier
+
+import java.io.File
+import java.nio.file.Path
+import sk.ainet.context.ExecutionContext
+import sk.ainet.lang.types.FP32
+import sk.ainet.models.laya.LayaAgent
+import sk.ainet.models.laya.LayaModelLoader
+
+actual fun loadLayaAgent(directory: String, ctx: ExecutionContext): LayaAgent<FP32> =
+    LayaModelLoader.load(Path.of(directory), ctx, exactGelu = true)
+
+/** Desktop: the checkpoint lands next to the LEAF cache, or where `LAYA_MODEL_DIR` points. */
+fun layaDesktopSource(): DecisionAdapterSource = LayaFileSource(
+    File(
+        System.getenv("LAYA_MODEL_DIR")?.takeIf { it.isNotBlank() }
+            ?: File(System.getProperty("user.home"), ".skainet-examples/semantic-emoji-filter/laya-multilingual").path,
+    ),
+)
diff --git a/SemanticEmojiFilter/webapp.json b/SemanticEmojiFilter/webapp.json
new file mode 100644
index 0000000..f645bf1
--- /dev/null
+++ b/SemanticEmojiFilter/webapp.json
@@ -0,0 +1,14 @@
+{
+  "id": "semanticemojifilter",
+  "name": "Semantic Emoji Filter",
+  "description": "Type what you mean, get the emoji: on-device sentence embeddings (MongoDB LEAF, 23M parameters) rank 200 emoji live in the browser; desktop and Android add the Laya decision model as a second stage that re-checks the top hits.",
+  "platforms": ["android", "desktop", "wasm"],
+  "distDirs": [
+    "composeApp/build/dist/wasmJs/productionExecutable"
+  ],
+  "build": {
+    "command": "./gradlew :composeApp:wasmJsBrowserDistribution",
+    "description": "Builds the wasm browser distribution, including the bundled ~92 MB LEAF checkpoint"
+  },
+  "screenshot": "docs/screenshots/grid.png"
+}

From ede0dd1326d1fa1611769ef1151a356ef2dd9e80 Mon Sep 17 00:00:00 2001
From: michalharakal <michal.harakal@googlemail.com>
Date: Tue, 13 Oct 2026 20:48:34 +0200
Subject: [PATCH 2/4] build(SemanticEmojiFilter): track the Gradle wrapper jar
 (root .gitignore excludes *.jar)

---
 .../gradle/wrapper/gradle-wrapper.jar           | Bin 0 -> 45633 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.jar

diff --git a/SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.jar b/SemanticEmojiFilter/gradle/wrapper/gradle-wrapper.jar
new file mode 100644
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From 9ceeade591434ea5f129c9c044a558df6559b11f Mon Sep 17 00:00:00 2001
From: michalharakal <michal.harakal@googlemail.com>
Date: Tue, 13 Oct 2026 23:32:53 +0200
Subject: [PATCH 3/4] build(SemanticEmojiFilter): transformers 0.59.0 from
 Maven Central, verifier in CI

The decisions and laya coordinates move under the BOM, the mavenLocal gate goes, and the
CI workflow builds and tests the verifier module behind -PlayaVerifier=true.
---
 .github/workflows/semanticemojifilter-ci.yml  | 12 +++++++++--
 SemanticEmojiFilter/README.md                 | 21 +++++++------------
 SemanticEmojiFilter/gradle/libs.versions.toml | 18 +++++++---------
 SemanticEmojiFilter/settings.gradle.kts       |  8 ++-----
 4 files changed, 26 insertions(+), 33 deletions(-)

diff --git a/.github/workflows/semanticemojifilter-ci.yml b/.github/workflows/semanticemojifilter-ci.yml
index 0f17576..b5ab3f1 100644
--- a/.github/workflows/semanticemojifilter-ci.yml
+++ b/.github/workflows/semanticemojifilter-ci.yml
@@ -48,8 +48,8 @@ jobs:
           path: SemanticEmojiFilter/composeApp/src/wasmJsMain/composeResources/files/leaf
           key: semanticemojifilter-leaf-4262131b
 
-      # Unit tests on JVM + Android (no device), the Android debug APK, and a wasm compile check.
-      # The Laya verifier module is not built here: it needs transformers 0.59.0 on Maven Central.
+      # Unit tests on JVM + Android (no device), the Android debug APK, and a wasm compile check;
+      # then the opt-in Laya verifier module (desktop + Android source sets, its own tests).
       - name: Build and test
         working-directory: SemanticEmojiFilter
         run: |
@@ -61,3 +61,11 @@ jobs:
             :shared:compileKotlinWasmJs \
             :composeApp:compileKotlinWasmJs \
             --console=plain
+      - name: Build and test the Laya verifier
+        working-directory: SemanticEmojiFilter
+        run: |
+          ./gradlew -PlayaVerifier=true \
+            :verifier:jvmTest \
+            :cli:compileKotlin \
+            :composeApp:compileKotlinJvm \
+            --console=plain
diff --git a/SemanticEmojiFilter/README.md b/SemanticEmojiFilter/README.md
index 514ee45..a3af91e 100644
--- a/SemanticEmojiFilter/README.md
+++ b/SemanticEmojiFilter/README.md
@@ -37,7 +37,7 @@ The LEAF checkpoint (92 MB) is downloaded on first run into `~/.skainet-examples
 
 ```bash
 ./gradlew :composeApp:run
-# with the Laya verifier (needs SKaiNET-transformers 0.59.0; until then a local publish, see below)
+# with the Laya verifier (SKaiNET-transformers 0.59.0 decisions + laya modules, from Maven Central)
 ./gradlew -PlayaVerifier=true :composeApp:run
 ```
 
@@ -65,21 +65,14 @@ The LEAF checkpoint (92 MB) is downloaded on first run into `~/.skainet-examples
 ./gradlew :cli:run --args="golden"                     # records golden-queries.json for the ranking test
 ```
 
-### The Laya verifier before transformers 0.59.0
+### The Laya verifier
 
 The typed-decision contract (`skainet-transformers-decisions-api`, `-decisions-runtime`) and the
-Laya adapter (`skainet-transformers-inference-laya`) are on the SKaiNET-transformers `develop`
-branch and ship with 0.59.0. Until that release is on Maven Central, publish `develop` locally and
-build with the flag:
-
-```bash
-cd ../../SKaiNET-transformers && ./gradlew -PVERSION_NAME=0.59.0-SNAPSHOT -PRELEASE_SIGNING_ENABLED=false publishToMavenLocal
-cd - && ./gradlew -PlayaVerifier=true :composeApp:run
-```
-
-The Laya checkpoint (644 MB, `convaiinnovations/laya` `multilingual/`) downloads on the first
-verification into `~/.skainet-examples/semantic-emoji-filter/laya-multilingual/` (`LAYA_MODEL_DIR`
-overrides).
+Laya adapter (`skainet-transformers-inference-laya`) ship with SKaiNET-transformers 0.59.0, which
+the version catalog pins; `-PlayaVerifier=true` adds the `:verifier` module and the Laya source
+directories. The checkpoint (644 MB, `convaiinnovations/laya` `multilingual/`) downloads on the
+first verification into `~/.skainet-examples/semantic-emoji-filter/laya-multilingual/`
+(`LAYA_MODEL_DIR` overrides).
 
 ## Measured
 
diff --git a/SemanticEmojiFilter/gradle/libs.versions.toml b/SemanticEmojiFilter/gradle/libs.versions.toml
index ee10991..b35c59f 100644
--- a/SemanticEmojiFilter/gradle/libs.versions.toml
+++ b/SemanticEmojiFilter/gradle/libs.versions.toml
@@ -14,14 +14,10 @@ kotlinx-coroutines = "1.11.0"
 kotlinxIo = "0.9.1"
 # The transformers 0.58.0 pin; the catalog JSON and calibration files are read with it.
 kotlinxSerialization = "1.11.0"
-# Engine and transformers released in lock-step; the bert encoder, the SafeTensors reader and
-# the engine tokenizers (WordPiece for LEAF) all come from these two BOMs.
+# The bert encoder, the SafeTensors reader and the engine tokenizers (WordPiece for LEAF) come from
+# the engine BOM; the typed-decision contract, runtime and the Laya adapter need transformers 0.59.0.
 skainet = "0.58.0"
-skainet-transformers = "0.58.0"
-# The typed-decision contract, runtime and the Laya adapter are on transformers `develop` and
-# ship with 0.59.0. Until then the verifier (-PlayaVerifier=true) resolves them from a local
-# publish; move the three coordinates under the BOM when 0.59.0 is on Maven Central.
-skainet-transformers-decisions = "0.59.0-SNAPSHOT"
+skainet-transformers = "0.59.0"
 
 [libraries]
 kotlin-test = { module = "org.jetbrains.kotlin:kotlin-test", version.ref = "kotlin" }
@@ -52,10 +48,10 @@ skainet-frontend-text = { module = "sk.ainet.core:skainet-frontend-text" }
 # SKaiNET-transformers — BOM-governed
 skainet-transformers-bom = { module = "sk.ainet.transformers:skainet-transformers-bom", version.ref = "skainet-transformers" }
 skainet-transformers-inference-bert = { module = "sk.ainet.transformers:skainet-transformers-inference-bert" }
-# Verifier only (see the version comment above)
-skainet-transformers-decisions-api = { module = "sk.ainet.transformers:skainet-transformers-decisions-api", version.ref = "skainet-transformers-decisions" }
-skainet-transformers-decisions-runtime = { module = "sk.ainet.transformers:skainet-transformers-decisions-runtime", version.ref = "skainet-transformers-decisions" }
-skainet-transformers-inference-laya = { module = "sk.ainet.transformers:skainet-transformers-inference-laya", version.ref = "skainet-transformers-decisions" }
+# Verifier only (-PlayaVerifier=true)
+skainet-transformers-decisions-api = { module = "sk.ainet.transformers:skainet-transformers-decisions-api" }
+skainet-transformers-decisions-runtime = { module = "sk.ainet.transformers:skainet-transformers-decisions-runtime" }
+skainet-transformers-inference-laya = { module = "sk.ainet.transformers:skainet-transformers-inference-laya" }
 
 [plugins]
 androidApplication = { id = "com.android.application", version.ref = "agp" }
diff --git a/SemanticEmojiFilter/settings.gradle.kts b/SemanticEmojiFilter/settings.gradle.kts
index f7e2707..2500646 100644
--- a/SemanticEmojiFilter/settings.gradle.kts
+++ b/SemanticEmojiFilter/settings.gradle.kts
@@ -1,9 +1,8 @@
 rootProject.name = "SemanticEmojiFilter"
 enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
 
-// Opt-in second stage: the Laya decision model as a verifier behind the embedding filter.
-// It needs the SKaiNET-transformers `decisions` and `laya` modules, which ship with 0.59.0;
-// until then they come from a local publish (`publishToMavenLocal` as 0.59.0-SNAPSHOT).
+// Opt-in second stage: the Laya decision model as a verifier behind the embedding filter
+// (the SKaiNET-transformers `decisions` and `laya` modules, 0.59.0+). Desktop and Android only.
 val layaVerifier = providers.gradleProperty("layaVerifier").orNull == "true"
 
 pluginManagement {
@@ -29,9 +28,6 @@ dependencyResolutionManagement {
                 includeGroupAndSubgroups("com.google")
             }
         }
-        if (layaVerifier) {
-            mavenLocal { content { includeGroupByRegex("sk\\.ainet(\\..*)?") } }
-        }
         mavenCentral()
     }
 }

From 52f47c7d0916911d0819f33cd84bd15dc9844e26 Mon Sep 17 00:00:00 2001
From: michalharakal <michal.harakal@googlemail.com>
Date: Thu, 15 Oct 2026 08:43:39 +0200
Subject: [PATCH 4/4] build(SemanticEmojiFilter): SKaiNET 0.59.0 / transformers
 0.60.0

Engine 0.59.0 adds erf and gelu(approximate) as op metadata; transformers
0.60.0 runs the Laya verifier's exact GELU through that op instead of a
host-side loop per FFN per layer. Catalog, BuildInfo and README follow.
Base targets and the -PlayaVerifier=true set build and test green.
---
 SemanticEmojiFilter/README.md                              | 4 ++--
 .../commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt  | 2 +-
 SemanticEmojiFilter/gradle/libs.versions.toml              | 7 ++++---
 3 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/SemanticEmojiFilter/README.md b/SemanticEmojiFilter/README.md
index a3af91e..07cdab9 100644
--- a/SemanticEmojiFilter/README.md
+++ b/SemanticEmojiFilter/README.md
@@ -37,7 +37,7 @@ The LEAF checkpoint (92 MB) is downloaded on first run into `~/.skainet-examples
 
 ```bash
 ./gradlew :composeApp:run
-# with the Laya verifier (SKaiNET-transformers 0.59.0 decisions + laya modules, from Maven Central)
+# with the Laya verifier (SKaiNET-transformers 0.60.0 decisions + laya modules, from Maven Central)
 ./gradlew -PlayaVerifier=true :composeApp:run
 ```
 
@@ -68,7 +68,7 @@ The LEAF checkpoint (92 MB) is downloaded on first run into `~/.skainet-examples
 ### The Laya verifier
 
 The typed-decision contract (`skainet-transformers-decisions-api`, `-decisions-runtime`) and the
-Laya adapter (`skainet-transformers-inference-laya`) ship with SKaiNET-transformers 0.59.0, which
+Laya adapter (`skainet-transformers-inference-laya`) ship with SKaiNET-transformers 0.60.0, which
 the version catalog pins; `-PlayaVerifier=true` adds the `:verifier` module and the Laya source
 directories. The checkpoint (644 MB, `convaiinnovations/laya` `multilingual/`) downloads on the
 first verification into `~/.skainet-examples/semantic-emoji-filter/laya-multilingual/`
diff --git a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt
index bfc0b6b..bc9fc0d 100644
--- a/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt
+++ b/SemanticEmojiFilter/composeApp/src/commonMain/kotlin/sk/ainet/samples/emoji/BuildInfo.kt
@@ -2,4 +2,4 @@ package sk.ainet.samples.emoji
 
 /** Desktop/wasm display version — keep in sync with `skainet` in gradle/libs.versions.toml.
  *  Android reads the real catalog value at build time via `BuildConfig.SKAINET_VERSION` instead. */
-const val SKAINET_VERSION = "0.58.0"
+const val SKAINET_VERSION = "0.59.0"
diff --git a/SemanticEmojiFilter/gradle/libs.versions.toml b/SemanticEmojiFilter/gradle/libs.versions.toml
index b35c59f..be8796c 100644
--- a/SemanticEmojiFilter/gradle/libs.versions.toml
+++ b/SemanticEmojiFilter/gradle/libs.versions.toml
@@ -15,9 +15,10 @@ kotlinxIo = "0.9.1"
 # The transformers 0.58.0 pin; the catalog JSON and calibration files are read with it.
 kotlinxSerialization = "1.11.0"
 # The bert encoder, the SafeTensors reader and the engine tokenizers (WordPiece for LEAF) come from
-# the engine BOM; the typed-decision contract, runtime and the Laya adapter need transformers 0.59.0.
-skainet = "0.58.0"
-skainet-transformers = "0.59.0"
+# the engine BOM; the typed-decision contract, runtime and the Laya adapter need transformers 0.59.0+
+# (0.60.0 runs Laya's exact GELU through engine 0.59.0's gelu op instead of a host-side loop).
+skainet = "0.59.0"
+skainet-transformers = "0.60.0"
 
 [libraries]
 kotlin-test = { module = "org.jetbrains.kotlin:kotlin-test", version.ref = "kotlin" }