fix(benchmark): rebind offline evidence artifact to refreshed source hashes

BENCHMARKS.md

@@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains.
 ### Public numeric evidence registry
 
 Every exact public aggregate retained below comes from the checked-in, public-safe
-[`offline-fixtures-receipt-diagnostics-20261103.json`](docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261103.json) artifact. Its
+[`offline-fixtures-receipt-diagnostics-20261109.json`](docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261109.json) artifact. Its
 SHA-256 is
-`62fc90a14e36622943e70f509cf2cd172239be9c862f8d51e64060ebe6f1496f`, also recorded in the
+`d13497f0a36fe53ca7871597d8acfbc878348a1f6985ebae4714b4e0bee4985e`, also recorded in the
 adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data,
 or per-record content fingerprints.
 
 The fixture-suite digest is
-`cee29f122abcdbf6a8874073d58840720b1724ab0a3ed125822841707b066b77`. The artifact defines
+`c1b3f2ca3dc80047737eaa47730a7859a902a1111b6c7bf2291f5f9ad5fd9bf9`. The artifact defines
 the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID
 also binds its exact command through `sha256(UTF-8 exact command)`:
 
@@ -134,7 +134,7 @@ retrieval-quality improvement. It does not qualify browser behavior, hosted serv
 external models, or provider billing. The registered artifact was produced with:
 
 ```bash
-python -m scripts.export_offline_evidence --output docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261103.json
+python -m scripts.export_offline_evidence --output docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261109.json
 ```
 
 The earlier release-review predecessors,
@@ -203,13 +203,13 @@ grounded checks in separate panels; provider billing and MCP transport are not m
 the SVG and matching PNG with:
 
 ```bash
-python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261103.json --output docs/images/context-efficiency.svg --png-output docs/images/context-efficiency.png
+python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261109.json --output docs/images/context-efficiency.svg --png-output docs/images/context-efficiency.png
 ```
 
 The companion examples are also generated from that artifact with:
 
 ```bash
-python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261103.json --output docs/images/evidence-backed-agent-examples.svg --png-output docs/images/evidence-backed-agent-examples.png
+python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-receipt-diagnostics-20261109.json --output docs/images/evidence-backed-agent-examples.svg --png-output docs/images/evidence-backed-agent-examples.png
 ```
 The historical-to-executable mapping is in
 [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md).

README.md

@@ -91,7 +91,7 @@ Pro is $10/month or $100/year for one owner. Team is $20/seat/month or $200/seat
 The current registered artifact contains three deterministic offline fixture runs. It separates context size, retrieval quality, and grounded decision checks; these small fixtures do not establish general task performance.
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/99af3855bd6b685cbac4a4489b44b3c374129053/docs/images/context-efficiency.svg" alt="Three registered offline fixtures: structure-aware chunking reduced mean retrieved context from 740.3 to 214.3 tokens per question (71.1%, 18 questions); the serialized JSON-shape proxy fell from 24,590 to 11,138 tokens across 26 payload samples and 260 recalls. Candidate and packed retrieval quality (Recall@5, Hit@5, and answer-token recall) are shown separately (each 1.000). Grounded checks show 5/5 answerable queries grounded and 6/6 abstention queries rejected, including a 1/1 quarantined-evidence probe; 11/11 decisions were correct. MCP transport and provider billing were not measured. Artifact SHA-256 prefix 62fc90a14e36; see the benchmark guide for the full checksum." width="100%">
+  <img src="https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/99af3855bd6b685cbac4a4489b44b3c374129053/docs/images/context-efficiency.svg" alt="Three registered offline fixtures: structure-aware chunking reduced mean retrieved context from 740.3 to 214.3 tokens per question (71.1%, 18 questions); the serialized JSON-shape proxy fell from 24,590 to 11,138 tokens across 26 payload samples and 260 recalls. Candidate and packed retrieval quality (Recall@5, Hit@5, and answer-token recall) are shown separately (each 1.000). Grounded checks show 5/5 answerable queries grounded and 6/6 abstention queries rejected, including a 1/1 quarantined-evidence probe; 11/11 decisions were correct. MCP transport and provider billing were not measured. Artifact SHA-256 prefix d13497f0a36f; see the benchmark guide for the full checksum." width="100%">
   <br>
   <sup>Three offline fixtures separate context reduction, candidate and packed retrieval quality, and grounded behavior. The chart shows the artifact checksum prefix; see the benchmark guide for the full checksum and reproduction steps.</sup>
 </p>

docs/benchmark-evidence/offline-fixtures-automatic-browser-access-20261101.json

@@ -103,7 +103,7 @@
   ],
   "schema": "engraphis-public-offline-fixtures/v1",
   "suite": {
-    "digest": "0179ada4cfffd827e2d1cf2cce1b5110862ac9a5cafbbf0db6dcd6e975e864ce",
+    "digest": "ca7492a5d783b641afa0c638995d65e50742ad3536160ed4e3ced6c89a3e14f6",
     "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)",
     "files": {
       "engraphis/__init__.py": "54c83cf75637c6d12314b474aaeab66ffd2bf817f066d6148ec8aa3bf2c4952a",
@@ -192,7 +192,7 @@
       "engraphis/file_guard.py": "44eccaeca3afef7149bfdfea2321c325472253ee39a9e0bc24c720b3da3d685b",
       "engraphis/graphdata.py": "f5dc93395f52203c66deaeec8bc58d5c1f990a35a535151e0b9a84cecf7d8430",
       "engraphis/hosted_client.py": "5b56b0d2384cf24ecb409090af15f09e437ec8ab5a98bed931384daff46b4f48",
-      "engraphis/http_deadline.py": "bb29ac2d1e2fb49829e8484bb17f8abe98c23895ef17c68abe135d13f5df0099",
+      "engraphis/http_deadline.py": "943435334c43780b3ddfe45d79e025d1a86da26c3450e8f148d46bd694ac7a86",
       "engraphis/http_security.py": "5cd96551778d7a964ce1d87c6bce032a5e70c7a1779fb2f6731432b96f5f069b",
       "engraphis/inspector/__init__.py": "720cac28b8a6019d0a0c53809d5905b7d6eb9d4ecbac767505904c6ec3c39071",
       "engraphis/inspector/app.py": "8aefe8a935397dde3c6466e691a7e6a7203ebe42e07aa00c332b733465e59e04",

docs/benchmark-evidence/offline-fixtures-automatic-browser-access-20261101.json.sha256

@@ -1 +1 @@
-8df20fd0a97f20070ac26628e19b5ae1be653cd7aa9c7399d424cedf0e839a01  offline-fixtures-automatic-browser-access-20261101.json
+9792658fa430895191a896c5ba97da8b497b8f451cd3484cbf35e6d06c51251a  offline-fixtures-automatic-browser-access-20261101.json