From 4440bc765f3b3553460b7ef747bdde8e00e489f4 Mon Sep 17 00:00:00 2001
From: Jammy2211 <JNightingale2211@gmail.com>
Date: Fri, 11 Sep 2026 09:01:12 -0400
Subject: [PATCH 1/2] =?UTF-8?q?cortex(euclid=5Fdr1):=20birth=20=E2=80=94?=
 =?UTF-8?q?=20the=20sep1=20DR1=20delivery,=20ten=20prelim=20lenses=20rerun?=
 =?UTF-8?q?=20by=20eye?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Registers the science project `euclid_dr1` in the body map and files its first
task, `sep1_delivery_reproduces_prelim_ten` (State: ready, awaiting submission).

- projects.yaml: new active row after euclid_dr1_prelim (remote none until the
  human creates one, CPU-only, partition ral, assistant autolens_assistant, the
  full 17-verb sync_verbs list of the pipeline's hpc/sync).
- tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md: the DR1 data
  delivery just arrived (Segmentation.zip, 3 nested batch zips, 15032 tiles,
  every tile already in the pipeline dataset layout), and the first question is
  whether it is good to use — the ten euclid_dr1_prelim lenses refitted from
  the sep1 delivery through prelim's own two-stage CPU route, judged BY EYE
  against prelim run 342629. Mask, positions and segmentation were all
  regenerated, so the numbers must differ; a numerical witness would be
  measuring the rerun scatter that ordered_rerun_catalogue_parity already
  found (median z ~ 15 on the same code and the same data). The three-clause
  witness is completion of both stages on 10/10, a per-tile side-by-side sheet
  showing the same lens configuration, and an Einstein-radius table naming any
  tile off by more than 10 %. The ten prelim -> sep1 tile pairs (3 exact, 7
  recentred by 0.8-2.2 arcsec) and the extraction facts are in ## Notes.
- dashboards regenerated.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DGLY4Av4CAhiwZc6oiSDYk
---
 dashboard.html                                |  11 ++
 dashboard.md                                  |  21 ++++
 projects.yaml                                 |  14 +++
 .../sep1_delivery_reproduces_prelim_ten.md    | 117 ++++++++++++++++++
 4 files changed, 163 insertions(+)
 create mode 100644 tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md

diff --git a/dashboard.html b/dashboard.html
index d58bfab..b0ba6b3 100644
--- a/dashboard.html
+++ b/dashboard.html
@@ -239,6 +239,7 @@
 <tr><td><b>analytic_gaussian</b></td><td>Is criterion 2's mu threshold or the minimal-EP control wrong</td><td>0</td><td>0</td><td>2026-09-10</td></tr>
 <tr><td><b>autolens_inference</b></td><td>-</td><td>0</td><td>0</td><td>-</td></tr>
 <tr><td><b>ep_toy_gaussian</b></td><td>Do three EP fits agree with NUTS at N=50</td><td>0</td><td>1</td><td>-</td></tr>
+<tr><td><b>euclid_dr1</b></td><td>Does the sep1 DR1 delivery reproduce the prelim ten lenses</td><td>0</td><td>0</td><td>-</td></tr>
 <tr><td><b>euclid_dr1_prelim</b></td><td>Do ordered Nautilus reruns reproduce the euclid catalogue values?</td><td>1</td><td>0</td><td>2026-09-10</td></tr>
 <tr><td><b>ic50_workspace</b></td><td>Does EP match the graphical joint fit end to end</td><td>0</td><td>1</td><td>-</td></tr>
 <tr><td><b>slope_hierarchy_scale</b></td><td>Does hierarchical slope recovery hold at N=25 to 50</td><td>0</td><td>1</td><td>-</td></tr>
@@ -289,6 +290,16 @@ <h3>ep_toy_gaussian</h3>
 <p class="muted"><a href="https://github.com/PyAutoLabs/PyAutoCortex/tree/main/tasks/ep_toy_gaussian/">tasks/ep_toy_gaussian/</a> · <a href="https://github.com/PyAutoLabs/ep_toy_gaussian/issues">issues</a></p>
 </section>
 <section class="project">
+<h3>euclid_dr1</h3>
+<p class="paths"><b>Local</b> <span class="pathchip">/mnt/c/Users/Jammy/Science/euclid_dr1</span></p>
+<p class="paths"><b>RAL</b> <span class="pathchip">/mnt/ral/jnightin/euclid_dr1</span></p>
+<p class="muted">active · ral partition · tasks: ready 1</p>
+<div class="task"><button class="copy" data-cmd="tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
+cd /mnt/c/Users/Jammy/Science/euclid_dr1 &amp;&amp; hpc/sync submit &lt;script&gt;
+python3 scripts/cortex.py move tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md submitted --run &lt;jobid&gt;" aria-label="Copy the Claude command">📋</button><p><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md">Does the sep1 DR1 delivery reproduce the prelim ten lenses</a><span class="tags"><span class="pill g">ready</span></span></p></div>
+<p class="muted"><a href="https://github.com/PyAutoLabs/PyAutoCortex/tree/main/tasks/euclid_dr1/">tasks/euclid_dr1/</a></p>
+</section>
+<section class="project">
 <h3>euclid_dr1_prelim</h3>
 <p class="paths"><b>Local</b> <span class="pathchip">/mnt/c/Users/Jammy/Science/euclid_dr1_prelim</span></p>
 <p class="paths"><b>RAL</b> <span class="pathchip">/mnt/ral/jnightin/euclid_dr1_prelim</span></p>
diff --git a/dashboard.md b/dashboard.md
index 93cf6d1..a2902e5 100644
--- a/dashboard.md
+++ b/dashboard.md
@@ -32,6 +32,7 @@ One row per active project — the next thing, what it is holding, and when it l
 | analytic_gaussian | Is criterion 2's mu threshold or the minimal-EP control wrong | 0 | 0 | 2026-09-10 |
 | autolens_inference | - | 0 | 0 | - |
 | ep_toy_gaussian | Do three EP fits agree with NUTS at N=50 | 0 | 1 | - |
+| euclid_dr1 | Does the sep1 DR1 delivery reproduce the prelim ten lenses | 0 | 0 | - |
 | euclid_dr1_prelim | Do ordered Nautilus reruns reproduce the euclid catalogue values? | 1 | 0 | 2026-09-10 |
 | ic50_workspace | Does EP match the graphical joint fit end to end | 0 | 1 | - |
 | slope_hierarchy_scale | Does hierarchical slope recovery hold at N=25 to 50 | 0 | 1 | - |
@@ -160,6 +161,26 @@ cd /mnt/c/Users/Jammy/Science/ep_toy_gaussian && hpc/sync jobs
 
 [tasks/ep_toy_gaussian/](https://github.com/PyAutoLabs/PyAutoCortex/tree/main/tasks/ep_toy_gaussian/) · [issues](https://github.com/PyAutoLabs/ep_toy_gaussian/issues)
 
+### euclid_dr1
+
+**Local** `/mnt/c/Users/Jammy/Science/euclid_dr1`
+
+**RAL** `/mnt/ral/jnightin/euclid_dr1`
+
+active · ral partition · tasks: ready 1
+
+<details><summary>📋 <a href="tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md">Does the sep1 DR1 delivery reproduce the prelim ten lenses</a> — <b>ready</b></summary>
+
+```
+tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
+cd /mnt/c/Users/Jammy/Science/euclid_dr1 && hpc/sync submit <script>
+python3 scripts/cortex.py move tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md submitted --run <jobid>
+```
+
+</details>
+
+[tasks/euclid_dr1/](https://github.com/PyAutoLabs/PyAutoCortex/tree/main/tasks/euclid_dr1/)
+
 ### euclid_dr1_prelim
 
 **Local** `/mnt/c/Users/Jammy/Science/euclid_dr1_prelim`
diff --git a/projects.yaml b/projects.yaml
index d81b859..f54ef71 100644
--- a/projects.yaml
+++ b/projects.yaml
@@ -101,6 +101,20 @@ euclid_dr1_prelim:
   status: active
   note: "created by euclid-dr1-prep phase 4 (a Cortex task after migration); every path is the planned one; active 2026-09-07: phase 4 launched (jobs 342301_[0-9])"
 
+euclid_dr1:
+  remote: none
+  local_path: /mnt/c/Users/Jammy/Science/euclid_dr1
+  ral_root: /mnt/ral/jnightin/euclid_dr1
+  mirror: none
+  sync_cli: hpc/sync
+  sync_verbs: [push, pull, logs, sync, push-data-init, pull-full, status, submit, push-submit, jobs, sacct, cancel, wait-and-pull, tail, du, check, clear-logs]
+  ledger: wiki/project/state.md
+  assistant: autolens_assistant
+  witness_file: results/**/*.json
+  partition: ral
+  status: active
+  note: "born 2026-09-11: the actual DR1 run on the sep1 segmentation delivery (Segmentation.zip = 3 nested batch zips, 15032 tiles, every tile already in the pipeline dataset layout); born by cloning euclid_strong_lens_modeling_pipeline main with config/visualize colormap back to autoarray; first task reruns the ten euclid_dr1_prelim lenses on the new data; remote none until the human creates one"
+
 analytic_gaussian:
   remote: none
   local_path: /mnt/c/Users/Jammy/Science/analytic_gaussian
diff --git a/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md b/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
new file mode 100644
index 0000000..68ad2fc
--- /dev/null
+++ b/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
@@ -0,0 +1,117 @@
+# Euclid_dr1 — does the sep1 DR1 delivery reproduce the ten euclid_dr1_prelim lenses by eye
+
+Project: euclid_dr1
+Summary: Does the sep1 DR1 delivery reproduce the prelim ten lenses
+State: ready
+Gates:
+Witness: all 10 tiles finish both stages (vis_lp then vis_pix) on RAL from the euclid_dr1 clone on the sep1 delivery; a per-tile side-by-side sheet (new vis_pix fit PNG beside prelim run 342629's) shows the same lens configuration by eye on 10/10 tiles; effective Einstein radius per tile is tabulated against prelim 342629 and any tile differing by more than 10 % is named
+Budget: 36:00
+Runs:
+Ruling:
+Review-minutes: 25
+Epic: euclid-dr1-prep
+Filed: 2026-09-11
+
+## Question
+
+The DR1 data delivery has just arrived — `Segmentation.zip`, the sep1 segmentation run over
+15032 tiles, every tile already written in the pipeline's dataset layout. Nothing has been
+fitted from it yet. Before anything is built on top of 15032 lenses, the first thing to settle
+is the cheapest one: **is this data good to use?**
+
+The test is a reproduction. The ten `euclid_dr1_prelim` lenses have been fitted, re-fitted and
+argued over for two weeks; their fits are the one thing in this project we already know the
+shape of. The same ten tiles are present in the sep1 delivery, so this task refits them from
+the new delivery, through a route **identical to prelim's** (the two-stage CPU submit,
+`vis_lp` then `vis_pix`, from a clone of `euclid_strong_lens_modeling_pipeline` main), and asks
+whether the same lenses come back.
+
+**Small differences are expected, and are not the question.** The segmentation, the positions
+and the mask were all regenerated for this delivery, so the inputs are genuinely different:
+tile 102005065, for instance, now carries a mask radius of 5.65" against prelim's 3.32" and
+four positions against two. Seven of the ten tiles are also recentred by 0.8–2.2 arcsec and so
+carry a different tile name (the pairs are in `## Notes`). Different mask, different positions,
+different numbers.
+
+**The comparison is therefore by eye, not numerical parity.** This is a deliberate choice, made
+because the numerical version of this question has already been asked and answered: the prelim
+`ordered_rerun_catalogue_parity` task refitted the *same* tiles with the *same* code on the
+*same* data and found run-to-run scatter with a median of z ≈ 15 between reruns. A numerical
+witness on top of a regenerated mask and regenerated positions would be measuring that scatter,
+not the delivery — it would be meaningless. What a human can judge, and what actually decides
+whether the data is usable, is whether the lens that comes out **looks like the same lens**:
+the same arcs in the same places, the same mass configuration, a comparable Einstein radius.
+
+One other deliberate difference from prelim: the clone puts the `config/visualize` colormap back
+to the `autoarray` default, so the figures this task produces are the standard ones.
+
+## Witness
+
+Three clauses, pre-registered before submission. A missed clause is a finding to rule on, not a
+threshold to relax.
+
+1. **Completion.** All 10 tiles finish **both** stages — `vis_lp` then `vis_pix` — on RAL, run
+   from the `euclid_dr1` clone against the sep1 delivery in `dataset/dr1_sep1/`. A tile that
+   fails, times out or is pinned by the positions penalty is named with its stage and its reason.
+2. **By-eye agreement.** A per-tile **side-by-side sheet** — the new `vis_pix` fit PNG beside the
+   corresponding prelim run 342629 fit PNG — shows the **same lens configuration by eye on 10/10
+   tiles**: the same arcs in the same places, the same source structure, no tile where the new
+   fit has found a different lens.
+3. **Einstein radius table.** The **effective Einstein radius per tile** is tabulated against
+   prelim 342629, and **any tile differing by more than 10 % is named** (named, not failed — the
+   number is the flag that sends a human to that tile's sheet).
+
+Products, committed in `euclid_dr1`:
+
+- the per-tile `vis_pix` fit PNGs pulled from RAL,
+- the per-tile side-by-side sheet (new beside prelim 342629),
+- the Einstein-radius table (new vs prelim 342629, per tile, with the percentage difference).
+
+## Where to look
+
+- `euclid_dr1` (project row `euclid_dr1`): `output/dr1_sep1/` once pulled — the new runs; the
+  delivery itself is `dataset/dr1_sep1/`, and the route is
+  `hpc/batch_cpu/submit_initial_lens_model_two_stage`
+- `euclid_dr1` `wiki/project/state.md` — this project's own ledger (the commentary; the ruling
+  of record is the Cortex's)
+- `euclid_dr1_prelim` (project row `euclid_dr1_prelim`): `output/dr1_prelim_grade_ab` and
+  `inspect/dr1_prelim_grade_ab_342629/` (including `lens_mass.csv`) — **the by-eye reference**,
+  run 342629
+- `autolens_assistant/skills/euclid_prepare_data.md`, `euclid_setup_pipeline.md`,
+  `euclid_model_lens.md`, `euclid_hpc_runs.md` — how this pipeline is driven
+
+## Notes
+
+- 2026-09-11 — **the delivery, and the ten tiles.** `Segmentation.zip` is 14.8 GB and holds
+  three nested batch zips, `eclipse_catalogue_fits_sep1-segmentation_batch{1,2,3}`, for 15032
+  tile folders in total; every tile is **already** in the pipeline's dataset layout, so no
+  conversion step is needed. The nested stored zips were read **in place with Python
+  `zipfile`** (no intermediate extraction of the 14.8 GB), and the first ten tiles — the ten
+  `euclid_dr1_prelim` lenses — were extracted into the sample `dataset/dr1_sep1/`. The **array
+  index order is the list order below**: array task *n* is the *n*-th pair.
+
+  Three tiles match the prelim name exactly; seven are recentred by 0.8–2.2 arcsec and so carry
+  a new name. prelim → sep1:
+
+  | # | prelim tile | sep1 tile | offset |
+  |---|---|---|---|
+  | 1 | `Tile102005065RA0135279431487DECNEG0701599765928` | same | exact |
+  | 2 | `Tile102007299RA0702283866574DECNEG0660415308762` | same | exact |
+  | 3 | `Tile102007899RA0631694872236DECNEG0650584220817` | `Tile102007899RA0631697483678DECNEG0650586413593` | 0.88" |
+  | 4 | `Tile102007903RA0668831429074DECNEG0648901814905` | `Tile102007903RA0668824944366DECNEG0648906250124` | 1.88" |
+  | 5 | `Tile102008165RA0109664211519DECNEG0642902327064` | `Tile102008165RA0109661927007DECNEG0642904268129` | 0.79" |
+  | 6 | `Tile102008219RA0727851454839DECNEG0644382776514` | `Tile102008219RA0727857418392DECNEG0644388277074` | 2.19" |
+  | 7 | `Tile102008468RA3567390985250DECNEG0647172046261` | `Tile102008468RA3567393529734DECNEG0647169093056` | 1.13" |
+  | 8 | `Tile102008475RA0039777627054DECNEG0637715426503` | same | exact |
+  | 9 | `Tile102008532RA0683495100072DECNEG0642073858939` | `Tile102008532RA0683486015030DECNEG0642073552911` | 1.43" |
+  | 10 | `Tile102008848RA0601376380877DECNEG0634605061157` | `Tile102008848RA0601371893270DECNEG0634606579714` | 0.91" |
+
+  The regenerated `info.json` / `positions.json` differ from prelim's — tile 102005065 carries a
+  mask radius of 5.65" against 3.32", and 4 positions against 2 — which is why the witness above
+  is by eye and not numerical.
+
+## Runs
+
+## Ruling
+
+(none)

From 5281acaaae7cced8f98db27c6965fbc6746156c7 Mon Sep 17 00:00:00 2001
From: Jammy2211 <JNightingale2211@gmail.com>
Date: Fri, 11 Sep 2026 09:10:43 -0400
Subject: [PATCH 2/2] =?UTF-8?q?cortex(euclid=5Fdr1):=20342650=20submitted?=
 =?UTF-8?q?=20=E2=80=94=20ten=20sep1=20tiles,=20two-stage=20CPU=20route?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

SLURM array job 342650 (342650_[0-9], partition ral) is on RAL: the ten
euclid_dr1_prelim tiles refitted from the sep1 delivery through
hpc/batch_cpu/submit_initial_lens_model_two_stage, one array task per tile in
the ## Notes list order.

- sep1_delivery_reproduces_prelim_ten: ready → submitted, Runs: 342650.
- dashboards regenerated.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DGLY4Av4CAhiwZc6oiSDYk
---
 dashboard.html                                         |  8 +++-----
 dashboard.md                                           | 10 ++++------
 .../euclid_dr1/sep1_delivery_reproduces_prelim_ten.md  |  6 ++++--
 3 files changed, 11 insertions(+), 13 deletions(-)

diff --git a/dashboard.html b/dashboard.html
index b0ba6b3..3b69906 100644
--- a/dashboard.html
+++ b/dashboard.html
@@ -239,7 +239,7 @@
 <tr><td><b>analytic_gaussian</b></td><td>Is criterion 2's mu threshold or the minimal-EP control wrong</td><td>0</td><td>0</td><td>2026-09-10</td></tr>
 <tr><td><b>autolens_inference</b></td><td>-</td><td>0</td><td>0</td><td>-</td></tr>
 <tr><td><b>ep_toy_gaussian</b></td><td>Do three EP fits agree with NUTS at N=50</td><td>0</td><td>1</td><td>-</td></tr>
-<tr><td><b>euclid_dr1</b></td><td>Does the sep1 DR1 delivery reproduce the prelim ten lenses</td><td>0</td><td>0</td><td>-</td></tr>
+<tr><td><b>euclid_dr1</b></td><td>Does the sep1 DR1 delivery reproduce the prelim ten lenses</td><td>0</td><td>1</td><td>-</td></tr>
 <tr><td><b>euclid_dr1_prelim</b></td><td>Do ordered Nautilus reruns reproduce the euclid catalogue values?</td><td>1</td><td>0</td><td>2026-09-10</td></tr>
 <tr><td><b>ic50_workspace</b></td><td>Does EP match the graphical joint fit end to end</td><td>0</td><td>1</td><td>-</td></tr>
 <tr><td><b>slope_hierarchy_scale</b></td><td>Does hierarchical slope recovery hold at N=25 to 50</td><td>0</td><td>1</td><td>-</td></tr>
@@ -293,10 +293,8 @@ <h3>ep_toy_gaussian</h3>
 <h3>euclid_dr1</h3>
 <p class="paths"><b>Local</b> <span class="pathchip">/mnt/c/Users/Jammy/Science/euclid_dr1</span></p>
 <p class="paths"><b>RAL</b> <span class="pathchip">/mnt/ral/jnightin/euclid_dr1</span></p>
-<p class="muted">active · ral partition · tasks: ready 1</p>
-<div class="task"><button class="copy" data-cmd="tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
-cd /mnt/c/Users/Jammy/Science/euclid_dr1 &amp;&amp; hpc/sync submit &lt;script&gt;
-python3 scripts/cortex.py move tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md submitted --run &lt;jobid&gt;" aria-label="Copy the Claude command">📋</button><p><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md">Does the sep1 DR1 delivery reproduce the prelim ten lenses</a><span class="tags"><span class="pill g">ready</span></span></p></div>
+<p class="muted">active · ral partition · tasks: submitted 1</p>
+<div class="task"><button class="copy" data-cmd="cd /mnt/c/Users/Jammy/Science/euclid_dr1 &amp;&amp; hpc/sync jobs" aria-label="Copy the Claude command">📋</button><p><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md">Does the sep1 DR1 delivery reproduce the prelim ten lenses</a><span class="tags"><span class="pill y">submitted</span></span><span class="facets"> — runs 342650 · wall 0:00 of 36:00 (0%)</span></p></div>
 <p class="muted"><a href="https://github.com/PyAutoLabs/PyAutoCortex/tree/main/tasks/euclid_dr1/">tasks/euclid_dr1/</a></p>
 </section>
 <section class="project">
diff --git a/dashboard.md b/dashboard.md
index a2902e5..21d5ec0 100644
--- a/dashboard.md
+++ b/dashboard.md
@@ -32,7 +32,7 @@ One row per active project — the next thing, what it is holding, and when it l
 | analytic_gaussian | Is criterion 2's mu threshold or the minimal-EP control wrong | 0 | 0 | 2026-09-10 |
 | autolens_inference | - | 0 | 0 | - |
 | ep_toy_gaussian | Do three EP fits agree with NUTS at N=50 | 0 | 1 | - |
-| euclid_dr1 | Does the sep1 DR1 delivery reproduce the prelim ten lenses | 0 | 0 | - |
+| euclid_dr1 | Does the sep1 DR1 delivery reproduce the prelim ten lenses | 0 | 1 | - |
 | euclid_dr1_prelim | Do ordered Nautilus reruns reproduce the euclid catalogue values? | 1 | 0 | 2026-09-10 |
 | ic50_workspace | Does EP match the graphical joint fit end to end | 0 | 1 | - |
 | slope_hierarchy_scale | Does hierarchical slope recovery hold at N=25 to 50 | 0 | 1 | - |
@@ -167,14 +167,12 @@ cd /mnt/c/Users/Jammy/Science/ep_toy_gaussian && hpc/sync jobs
 
 **RAL** `/mnt/ral/jnightin/euclid_dr1`
 
-active · ral partition · tasks: ready 1
+active · ral partition · tasks: submitted 1
 
-<details><summary>📋 <a href="tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md">Does the sep1 DR1 delivery reproduce the prelim ten lenses</a> — <b>ready</b></summary>
+<details><summary>📋 <a href="tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md">Does the sep1 DR1 delivery reproduce the prelim ten lenses</a> — <b>submitted</b> — runs 342650 · wall 0:00 of 36:00 (0%)</summary>
 
 ```
-tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
-cd /mnt/c/Users/Jammy/Science/euclid_dr1 && hpc/sync submit <script>
-python3 scripts/cortex.py move tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md submitted --run <jobid>
+cd /mnt/c/Users/Jammy/Science/euclid_dr1 && hpc/sync jobs
 ```
 
 </details>
diff --git a/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md b/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
index 68ad2fc..7ee2550 100644
--- a/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
+++ b/tasks/euclid_dr1/sep1_delivery_reproduces_prelim_ten.md
@@ -2,11 +2,11 @@
 
 Project: euclid_dr1
 Summary: Does the sep1 DR1 delivery reproduce the prelim ten lenses
-State: ready
+State: submitted
 Gates:
 Witness: all 10 tiles finish both stages (vis_lp then vis_pix) on RAL from the euclid_dr1 clone on the sep1 delivery; a per-tile side-by-side sheet (new vis_pix fit PNG beside prelim run 342629's) shows the same lens configuration by eye on 10/10 tiles; effective Einstein radius per tile is tabulated against prelim 342629 and any tile differing by more than 10 % is named
 Budget: 36:00
-Runs:
+Runs: 342650
 Ruling:
 Review-minutes: 25
 Epic: euclid-dr1-prep
@@ -112,6 +112,8 @@ Products, committed in `euclid_dr1`:
 
 ## Runs
 
+- 342650: submitted — ral — submitted 2026-09-11 — wall 0:00
+
 ## Ruling
 
 (none)