From d1e19ec846fce3f5ff3780284f9d94401c21588b Mon Sep 17 00:00:00 2001
From: Jammy2211 <JNightingale2211@gmail.com>
Date: Mon, 19 Oct 2026 18:20:21 +0100
Subject: [PATCH 1/2] =?UTF-8?q?cortex:=20autolens=5Finference=202026-10-19?=
 =?UTF-8?q?=20=E2=80=94=20412541/412565=20cancelled=20on=20the=20human's?=
 =?UTF-8?q?=20decision,=20412539=20completed,=20flat=20layout=20applied,?=
 =?UTF-8?q?=20wave-1=20attempt=201=20set=20aside?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

All ledger writes via scripts/cortex.py verbs (done x3, log, now); dashboard
rendered with --cortex <worktree>. No compute submitted.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 dashboard.html                 | 33 ++++++++++++----------------
 dashboard.md                   | 40 +++++++++++++---------------------
 projects/autolens_inference.md |  9 ++++----
 state.json                     | 18 +++------------
 4 files changed, 37 insertions(+), 63 deletions(-)

diff --git a/dashboard.html b/dashboard.html
index abe27ec..9004150 100644
--- a/dashboard.html
+++ b/dashboard.html
@@ -4,7 +4,7 @@
 <meta charset="utf-8">
 <meta name="viewport" content="width=device-width, initial-scale=1">
 <title>PyAutoCortex Dashboard</title>
-<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-10-18 — regenerate, do not hand-edit -->
+<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-10-19 — regenerate, do not hand-edit -->
 <style>:root{color-scheme:light dark;--bg:#fff;--fg:#1f2328;--muted:#59636e;
  --board-max:77.5rem;--board-gutter:1rem;--board-measure:65ch;
  --line:#d8dee4;--btn:#f6f8fa;--ok:#1a7f37;--warn:#9a6700;--bad:#d1242f;
@@ -333,11 +333,11 @@
 - Open autolens_inference: https://github.com/PyAutoLabs/autolens_inference
 - Open autofit_inference: https://github.com/PyAutoLabs/autofit_inference
 - Open euclid_detailed: https://github.com/PyAutoLabs/euclid_detailed
-- Open cowls: https://github.com/PyAutoLabs/cowls</textarea></details><div class="orchestration-freshness" data-freshness="grey"><details data-freshness-stamp data-refreshed-at="2026-10-18T08:17:23Z"><summary><span data-freshness-label>Last updated 2026-10-18 08:17:23 UTC</span></summary><time datetime="2026-10-18T08:17:23Z">2026-10-18 08:17:23 UTC</time></details><a data-refresh-link href="https://github.com/PyAutoLabs/PyAutoCortex/actions/workflows/dashboard_refresh.yml" title="Open the dashboard refresh controls">↻ Update</a></div></div><p class="orchestration-status" role="status" aria-live="polite"></p></section>
-<nav class="board-nav" aria-label="Board sections"><a class="board-nav-card" href="#summary"><span class="board-nav-count">20</span><span class="board-nav-label">Running</span></a><a class="board-nav-card" href="#summary"><span class="board-nav-count">49</span><span class="board-nav-label">Open</span></a><a class="board-nav-card" href="#projects"><span class="board-nav-count">11</span><span class="board-nav-label">Projects</span></a><a class="board-nav-card" href="#orchestration-cortex"><span class="board-nav-label">Check in</span></a></nav>
+- Open cowls: https://github.com/PyAutoLabs/cowls</textarea></details><div class="orchestration-freshness" data-freshness="grey"><details data-freshness-stamp data-refreshed-at="2026-10-19T17:20:11Z"><summary><span data-freshness-label>Last updated 2026-10-19 17:20:11 UTC</span></summary><time datetime="2026-10-19T17:20:11Z">2026-10-19 17:20:11 UTC</time></details><a data-refresh-link href="https://github.com/PyAutoLabs/PyAutoCortex/actions/workflows/dashboard_refresh.yml" title="Open the dashboard refresh controls">↻ Update</a></div></div><p class="orchestration-status" role="status" aria-live="polite"></p></section>
+<nav class="board-nav" aria-label="Board sections"><a class="board-nav-card" href="#summary"><span class="board-nav-count">17</span><span class="board-nav-label">Running</span></a><a class="board-nav-card" href="#summary"><span class="board-nav-count">47</span><span class="board-nav-label">Open</span></a><a class="board-nav-card" href="#projects"><span class="board-nav-count">11</span><span class="board-nav-label">Projects</span></a><a class="board-nav-card" href="#orchestration-cortex"><span class="board-nav-label">Check in</span></a></nav>
 
 <p class="muted mdsrc"><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/dashboard.md" class="board-source-link" title="Markdown version" aria-label="Markdown version"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true" focusable="false"><path d="M14 3H6a1 1 0 0 0-1 1v16a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1V8Z"/><path d="M14 3v5h5M8 12h8M8 16h6"/></svg></a></p>
-<details class="board-section"><summary><h2>Summary</h2><span class="section-badge">20 Running · 49 Open</span></summary><div class="board-section-body"><a id="summary"></a>
+<details class="board-section"><summary><h2>Summary</h2><span class="section-badge">17 Running · 47 Open</span></summary><div class="board-section-body"><a id="summary"></a>
 <table class="map">
 <tr><th>Project</th><th>Running</th><th>Open</th><th>Last update</th></tr>
 <tr><td><b>subhalo_validation</b></td><td>0</td><td>5</td><td>2026-09-07</td></tr>
@@ -347,7 +347,7 @@
 <tr><td><b>ep_toy_gaussian</b></td><td>0</td><td>0</td><td>2026-10-14</td></tr>
 <tr><td><b>slope_hierarchy_scale</b></td><td>0</td><td>0</td><td>2026-10-14</td></tr>
 <tr><td><b>ic50_workspace</b></td><td>0</td><td>0</td><td>2026-10-14</td></tr>
-<tr><td><b>autolens_inference</b></td><td>4</td><td>2</td><td>2026-10-17</td></tr>
+<tr><td><b>autolens_inference</b></td><td>1</td><td>0</td><td>2026-10-19</td></tr>
 <tr><td><b>autofit_inference</b></td><td>0</td><td>0</td><td>2026-10-16</td></tr>
 <tr><td><b>euclid_detailed</b></td><td>0</td><td>0</td><td>2026-10-15</td></tr>
 <tr><td><b>cowls</b></td><td>0</td><td>0</td><td>2026-10-15</td></tr>
@@ -610,7 +610,7 @@ <h4>Runs (0)</h4>
 </div>
 </details>
 <details class="project" id="project-autolens_inference">
-<summary><h3>autolens_inference</h3><span class="purpose">Do the PyAutoLens inference backends agree on the HST SLaM posterior</span><span class="meta">4 running · 2 open · updated 2026-10-17</span></summary>
+<summary><h3>autolens_inference</h3><span class="purpose">Do the PyAutoLens inference backends agree on the HST SLaM posterior</span><span class="meta">1 running · 0 open · updated 2026-10-19</span></summary>
 <div class="project-body">
 <dl class="where">
 <dt>Registered:</dt><dd>not recorded</dd>
@@ -618,28 +618,23 @@ <h4>Runs (0)</h4>
 <dt>RAL:</dt><dd>/mnt/ral/jnightin/inference/autolens_inference</dd>
 </dl><div class="position"><div class="position-text">
 <h4>Current position</h4>
-<p>Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-17T19:40Z. SLaM base arrays (seeds 0-1, --lens-light both): 412535 (jax_gpu dense) COMPLETED, rows and prepared problems on RAL, not yet pulled; 412537 (jax_gpu sparse), 412539 (jax_cpu dense) and 412541 (jax_cpu sparse) RUNNING since 16:46Z; 412563 (numba_cpu dense) and 412565 (numba_cpu sparse) on ral, 8 CPUs, submitted 18:58Z, waiting in-job on the shared source_lp[1] stage of hpc_a100_jax_cpu_dense_fp64 (rows mark it shared and exclude its wall from the numba chain wall). GPU sampler wave 1 (412543) attempt 1 failed on every arm in two classes: a row-writer TypeError on tuple-keyed parameter names after the nautilus and emcee fits completed, and A100 out-of-memory for NUTS (385.32GiB) and SMC (48.45GiB); pending arms 18-23 cancelled at 19:40Z, arms 9, 13, 17 still running then. Next: pull the A100 dense rows and read them; wave 1 attempt 2 (nautilus and emcee) after the writer fix in the filed Mind task, NUTS and SMC deferred with the OOM evidence; then the CPU wave once the CPU dense base rows land. No scientific acceptance implied.</p></div>
+<p>Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-19 15:49:05Z. Nothing is queued: on the human's decision, 412541 (jax_cpu sparse) and 412565 (numba_cpu sparse) were cancelled ~15:51Z with partial stages left on disk (no CPU fixed-light row exists). 412535 and 412537 (A100) and 412539 (jax_cpu dense) completed; numba_cpu dense dropped. The project is on the flat layout (autolens_inference#36, c3ca4de; output/autolens/..., rows at results/slam/imaging/hst/&lt;variant&gt;/&lt;config&gt;/), and the wave-1 attempt-1 material is set aside. Next, each needing the human's go: confirm keeping prepared/; a Mind bug task and laptop repro for the jax_gpu sparse fixed-light mass_total[1] divergence; rerun the cancelled sparse remainder (jax_cpu sparse seed 1 from source_pix[2], the lightfixed mass_total[1] legs); GPU wave 1 attempt 2 (nautilus+emcee); commit the clean-slate rows in a project PR. No scientific acceptance implied.</p></div>
 <button class="copy resume" aria-label="Copy resume prompt for autolens_inference" title="Copy resume prompt for autolens_inference" data-cmd="Use the cortex skill. — resume autolens_inference: read PyAutoCortex projects/autolens_inference.md (Now, Runs, Log) and then /home/jammy/Code/PyAutoLabs/lens/autolens_inference/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say.">📋</button>
 </div>
-<h4>Runs (6)</h4>
+<h4>Runs (1)</h4>
 <table class="runs" aria-label="Runs recorded for autolens_inference">
 <thead><tr><th scope="col">Job</th><th scope="col">State</th><th scope="col">Partition</th><th scope="col">Date</th><th scope="col">Description</th></tr></thead>
 <tbody>
-<tr><td class="job"><code>412537</code></td><td class="state" data-label="State"><span class="pill y">running</span></td><td class="part" data-label="Partition">gpu</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYA…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_sparse_fp64/seed_&lt;n&gt;/&lt;variant&gt;/;<br> human-authorised 2026-10-17</p></details></td></tr>
-<tr><td class="job"><code>412539</code></td><td class="state" data-label="State"><span class="pill y">running</span></td><td class="part" data-label="Partition">ral</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUT…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n&gt;/&lt;variant&gt;/;<br> human-authorised 2026-10-17</p></details></td></tr>
-<tr><td class="job"><code>412541</code></td><td class="state" data-label="State"><span class="pill y">running</span></td><td class="part" data-label="Partition">ral</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYA…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n&gt;/&lt;variant&gt;/;<br> human-authorised 2026-10-17</p></details></td></tr>
 <tr><td class="job"><code>412543</code></td><td class="state" data-label="State"><span class="pill y">running</span></td><td class="part" data-label="Partition">gpu</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampl…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1;<br> human-authorised 2026-10-17</p></details></td></tr>
-<tr><td class="job"><code>412563</code></td><td class="state" data-label="State"><span class="pill n">open</span></td><td class="part" data-label="Partition">ral</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), p…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export;<br> --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh);<br> rows mark that stage shared and exclude its wall from the numba chain wall;<br> submitted 2026-10-17T18:58Z by the architect;<br> human decisions 2026-10-17 (8 CPUs, shared stage, submit now)</p></details></td></tr>
-<tr><td class="job"><code>412565</code></td><td class="state" data-label="State"><span class="pill n">open</span></td><td class="part" data-label="Partition">ral</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32),…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export;<br> --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh);<br> rows mark that stage shared and exclude its wall from the numba chain wall;<br> submitted 2026-10-17T18:58Z by the architect;<br> human decisions 2026-10-17 (8 CPUs, shared stage, submit now)</p></details></td></tr>
 </tbody>
 </table>
-<details class="sub"><summary>Recent log — 5 of 35 entries</summary>
+<details class="sub"><summary>Recent log — 5 of 43 entries</summary>
 <ul class="log">
-<li>2026-10-17 — <i>note</i> — <details class="full"><summary><span class="clip">412543 wave 1 attempt 1 (read 19:40Z): every arm fails. NUTS arms 2, 6, 10, 14 FAILED with JaxRuntimeError RESOURCE_EXHAUSTED, out of memory allocating 385.32GiB [jit_log_l]; SMC arms 3, 7, 11, 15 FAILED allocating 48.45GiB [jit_scan]; the…</span><span class="less">show less</span></summary><p>412543 wave 1 attempt 1 (read 19:40Z): every arm fails. NUTS arms 2, 6, 10, 14 FAILED with JaxRuntimeError RESOURCE_EXHAUSTED, out of memory allocating 385.32GiB [jit_log_l]; SMC arms 3, 7, 11, 15 FAILED allocating 48.45GiB [jit_scan]; their failed-status rows were written. Nautilus and emcee arms 0, 1, 4, 5, 8, 12, 16 completed their mass_total[1] fits (nautilus arm 0 about 13 min, emcee arm 1 about 37 min of job time) and then FAILED in the row writer, scripts/misc/experiments/run.py line 350, TypeError: keys must be str, int, float, bool or None, not tuple (tuple-keyed parameter names from the pinned PyAutoFit); no row written, output trees exist. The architect cancelled pending arms 18-23 at 19:40Z; arms 9, 13, 17 were still running. Fix task filed in Mind (draft/bug/autolens_inference/wave1_row_writer_tuple_keys_and_gpu_oom_reslice.md): fix the writer, re-run nautilus and emcee as attempt 2, defer NUTS and SMC with the OOM evidence.</p></details></li>
-<li>2026-10-17 — <i>run</i> — <details class="full"><summary><span class="clip">412565 submitted: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, re…</span><span class="less">show less</span></summary><p>412565 submitted: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)</p></details></li>
-<li>2026-10-17 — <i>run</i> — <details class="full"><summary><span class="clip">412563 submitted: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, res…</span><span class="less">show less</span></summary><p>412563 submitted: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)</p></details></li>
-<li>2026-10-17 — <i>run</i> — <details class="full"><summary><span class="clip">412535 finished — wall 1:01: hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_dense_fp64 (submit_hst_cleanslate_jax_gpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10…</span><span class="less">show less</span></summary><p>412535 finished — wall 1:01: hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_dense_fp64 (submit_hst_cleanslate_jax_gpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_dense_fp64/seed_&lt;n&gt;/&lt;variant&gt;/; human-authorised 2026-10-17 — COMPLETED 0:0 both seeds on gpu, ended ~17:46Z (elapsed 01:00:33 seed 0 / 00:58:35 seed 1); rows on RAL under results/slam/imaging/hst/slam_base/ and slam_base_lightfixed/hpc_a100_jax_gpu_dense_fp64__cleanslate_2026_10_17/stages_seed{0,1}.json; prepared problems exported to output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_dense_fp64/seed_0/{slam_base,slam_base_lightfixed}/; rows not yet pulled or committed, no walls read yet</p></details></li>
-<li>2026-10-17 — <i>run</i> — <details class="full"><summary><span class="clip">412543 submitted: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared pr…</span><span class="less">show less</span></summary><p>412543 submitted: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17</p></details></li>
+<li>2026-10-19 — <i>note</i> — <details class="full"><summary><span class="clip">HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean u…</span><span class="less">show less</span></summary><p>HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean up". Scheduler read 15:49:05Z: only 412541 and 412565 running; both scancelled ~15:51Z, queue empty; 412539 had COMPLETED. On "yes, go", autolens_inference#36 (flatten, closes #35) merged 15:53:33Z as c3ca4de; the RAL checkout fast-forwarded b91ce9c -&gt; c3ca4de and the laptop to c3ca4de, after a full hpc/sync pull. flatten_cleanslate.py --apply: RAL 28 moves, 55 rewrites; laptop mirror 28 moves, 38 rewrites; both EXIT 0. New layout: output/autolens/imaging/hst/slam/&lt;variant&gt;/&lt;config&gt;/seed_&lt;n&gt;/&lt;stage&gt;/, output/autolens/prepared/&lt;config&gt;/seed_&lt;n&gt;/&lt;variant&gt;/, rows at results/slam/imaging/hst/&lt;variant&gt;/&lt;config&gt;/ (no __cleanslate_2026_10_17 suffix). RAL and laptop each hold 1974 files with identical paths and sizes; hpc/sync status dry run transfers 0. Human, verbatim: "check some older chats, think we dont need prepared, experiments and experiment_sources to exist anymore? Can we archive them somewhere separate to makr things easier to follow. Then do the apply". The wave-1 attempt-1 material (output/experiments 341M, output/experiment_sources 76M, results/searches/experiments with 8 failed NUTS/SMC rows) moved to /mnt/ral/jnightin/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on RAL and /mnt/c/Users/Jammy/Science/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on the laptop. prepared/ KEPT as the agent's proposal, not yet confirmed by the human: wave.py needs its manifests, and so does the sparse fixed-light repro. Partial stage dirs of the cancelled legs remain; they are not failures. Execution completion only. No compute submitted.</p></details></li>
+<li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026…</span><span class="less">show less</span></summary><p>412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-20:52:11). Complete at cancel (.completed markers): seeds 0 and 1 slam_base light[1], source_pix[1], source_pix[2], mass_total[1] (source_lp[1] shared from jax_cpu dense via --stages-from). Incomplete: slam_base_lightfixed mass_total[1] on both seeds (running). Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant&gt;/hpc_a100_numba_cpu_sparse_fp64/seed_&lt;n&gt;/ (flat layout, autolens_inference#36)</p></details></li>
+<li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.1…</span><span class="less">show less</span></summary><p>412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n&gt;/&lt;variant&gt;/; human-authorised 2026-10-17 — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-23:04:43). Complete at cancel (.completed markers): seed 0 slam_base light[1], source_lp[1], source_pix[1], source_pix[2], mass_total[1]; seed 1 source_lp[1], source_pix[1]. Incomplete: seed 0 slam_base_lightfixed mass_total[1] (running), seed 1 source_pix[2] (running) onward and its lightfixed leg. Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant&gt;/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n&gt;/ (flat layout, autolens_inference#36)</p></details></li>
+<li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), outp…</span><span class="less">show less</span></summary><p>412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n&gt;/&lt;variant&gt;/; human-authorised 2026-10-17 — COMPLETED both seeds (sacct read 2026-10-19 15:49:05Z): 412539_0 ended 2026-10-18T23:46:01, 412539_1 ended 2026-10-18T20:43:11; rows not re-read in this record; on 2026-10-19 its output and rows moved to the flat layout (autolens_inference#36): output/autolens/imaging/hst/slam/&lt;variant&gt;/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n&gt;/, output/autolens/prepared/hpc_a100_jax_cpu_dense_fp64/, results/slam/imaging/hst/&lt;variant&gt;/hpc_a100_jax_cpu_dense_fp64/</p></details></li>
+<li>2026-10-18 — <i>note</i> — <details class="full"><summary><span class="clip">HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base…</span><span class="less">show less</span></summary><p>HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base is jax_cpu dense, jax_cpu sparse and numba_cpu sparse. Canonical record: https://github.com/PyAutoLabs/PyAutoInsight/blob/main/decisions/hst-cleanslate-drop-numba-dense.md (Insight commit e289c04 on PR #36).</p></details></li>
 </ul>
 <p class="muted"><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autolens_inference.md">full log</a></p>
 <p class="muted">active · both · <a href="https://github.com/PyAutoLabs/autolens_inference/issues/4">autolens_inference#4</a></p>
diff --git a/dashboard.md b/dashboard.md
index 2e79ed8..dd722b3 100644
--- a/dashboard.md
+++ b/dashboard.md
@@ -1,17 +1,17 @@
 # PyAutoCortex Dashboard
 
-<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-10-18 — regenerate, do not hand-edit -->
+<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-10-19 — regenerate, do not hand-edit -->
 
 This is the markdown version of the [PyAutoCortex Dashboard](https://pyautolabs.github.io/PyAutoCortex/), which puts the check-in and each project's resume prompt on your clipboard with a single tap of 📋.
 
 One ledger per science project: what is on the cluster right now, what the human said they would do next, and the last few things they wrote down. Nothing here is inferred from a result — the board hands you the check-in and the resume prompt; what a run meant is yours to log.
 
-> **Last updated 2026-10-18.**
+> **Last updated 2026-10-19.**
 
 | Where | Count |
 |-------|------:|
-| [Running](#projects) | 20 |
-| [Open](#projects) | 49 |
+| [Running](#projects) | 17 |
+| [Open](#projects) | 47 |
 | [Projects](#projects) | 11 |
 
 <details><summary>📋 check in since last time</summary>
@@ -49,7 +49,7 @@ Last check-in: 2026-10-17T11:18Z.
 | ep_toy_gaussian | 0 | 0 | 2026-10-14 |
 | slope_hierarchy_scale | 0 | 0 | 2026-10-14 |
 | ic50_workspace | 0 | 0 | 2026-10-14 |
-| autolens_inference | 4 | 2 | 2026-10-17 |
+| autolens_inference | 1 | 0 | 2026-10-19 |
 | autofit_inference | 0 | 0 | 2026-10-16 |
 | euclid_detailed | 0 | 0 | 2026-10-15 |
 | cowls | 0 | 0 | 2026-10-15 |
@@ -456,7 +456,7 @@ active · ral · [PyAutoCortex#36](https://github.com/PyAutoLabs/PyAutoCortex/is
 
 </details>
 
-<details id="project-autolens_inference"><summary><b>autolens_inference</b> — Do the PyAutoLens inference backends agree on the HST SLaM posterior · 4 running · 2 open · updated 2026-10-17</summary>
+<details id="project-autolens_inference"><summary><b>autolens_inference</b> — Do the PyAutoLens inference backends agree on the HST SLaM posterior · 1 running · 0 open · updated 2026-10-19</summary>
 
 **Registered:** not recorded
 
@@ -466,7 +466,7 @@ active · ral · [PyAutoCortex#36](https://github.com/PyAutoLabs/PyAutoCortex/is
 
 **Current position**
 
-Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-17T19:40Z. SLaM base arrays (seeds 0-1, --lens-light both): 412535 (jax_gpu dense) COMPLETED, rows and prepared problems on RAL, not yet pulled; 412537 (jax_gpu sparse), 412539 (jax_cpu dense) and 412541 (jax_cpu sparse) RUNNING since 16:46Z; 412563 (numba_cpu dense) and 412565 (numba_cpu sparse) on ral, 8 CPUs, submitted 18:58Z, waiting in-job on the shared source_lp[1] stage of hpc_a100_jax_cpu_dense_fp64 (rows mark it shared and exclude its wall from the numba chain wall). GPU sampler wave 1 (412543) attempt 1 failed on every arm in two classes: a row-writer TypeError on tuple-keyed parameter names after the nautilus and emcee fits completed, and A100 out-of-memory for NUTS (385.32GiB) and SMC (48.45GiB); pending arms 18-23 cancelled at 19:40Z, arms 9, 13, 17 still running then. Next: pull the A100 dense rows and read them; wave 1 attempt 2 (nautilus and emcee) after the writer fix in the filed Mind task, NUTS and SMC deferred with the OOM evidence; then the CPU wave once the CPU dense base rows land. No scientific acceptance implied.
+Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-19 15:49:05Z. Nothing is queued: on the human's decision, 412541 (jax_cpu sparse) and 412565 (numba_cpu sparse) were cancelled ~15:51Z with partial stages left on disk (no CPU fixed-light row exists). 412535 and 412537 (A100) and 412539 (jax_cpu dense) completed; numba_cpu dense dropped. The project is on the flat layout (autolens_inference#36, c3ca4de; output/autolens/..., rows at results/slam/imaging/hst/&lt;variant>/&lt;config>/), and the wave-1 attempt-1 material is set aside. Next, each needing the human's go: confirm keeping prepared/; a Mind bug task and laptop repro for the jax_gpu sparse fixed-light mass_total[1] divergence; rerun the cancelled sparse remainder (jax_cpu sparse seed 1 from source_pix[2], the lightfixed mass_total[1] legs); GPU wave 1 attempt 2 (nautilus+emcee); commit the clean-slate rows in a project PR. No scientific acceptance implied.
 
 <details><summary title="Copy resume prompt for autolens_inference">📋</summary>
 
@@ -476,35 +476,25 @@ Use the cortex skill. — resume autolens_inference: read PyAutoCortex projects/
 
 </details>
 
-**Runs** (6)
+**Runs** (1)
 
 | Job | State | Partition | Date | Description |
 |---|---|---|---|---|
-| `412537` | running | gpu | 2026-10-17 | hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYA… |
-| `412539` | running | ral | 2026-10-17 | hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUT… |
-| `412541` | running | ral | 2026-10-17 | hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYA… |
 | `412543` | running | gpu | 2026-10-17 | hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampl… |
-| `412563` | open | ral | 2026-10-17 | hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), p… |
-| `412565` | open | ral | 2026-10-17 | hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32),… |
 
-<details><summary>Full descriptions (6 shortened above)</summary>
+<details><summary>Full descriptions (1 shortened above)</summary>
 
-- `412537` — hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_sparse_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17
-- `412539` — hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17
-- `412541` — hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17
 - `412543` — hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17
-- `412563` — hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)
-- `412565` — hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)
 
 </details>
 
-<details><summary>Recent log — 5 of 35 entries</summary>
+<details><summary>Recent log — 5 of 43 entries</summary>
 
-- 2026-10-17 — *note* — 412543 wave 1 attempt 1 (read 19:40Z): every arm fails. NUTS arms 2, 6, 10, 14 FAILED with JaxRuntimeError RESOURCE_EXHAUSTED, out of memory allocating 385.32GiB [jit_log_l]; SMC arms 3, 7, 11, 15 FAILED allocating 48.45GiB [jit_scan]; their failed-status rows were written. Nautilus and emcee arms 0, 1, 4, 5, 8, 12, 16 completed their mass_total[1] fits (nautilus arm 0 about 13 min, emcee arm 1 about 37 min of job time) and then FAILED in the row writer, scripts/misc/experiments/run.py line 350, TypeError: keys must be str, int, float, bool or None, not tuple (tuple-keyed parameter names from the pinned PyAutoFit); no row written, output trees exist. The architect cancelled pending arms 18-23 at 19:40Z; arms 9, 13, 17 were still running. Fix task filed in Mind (draft/bug/autolens_inference/wave1_row_writer_tuple_keys_and_gpu_oom_reslice.md): fix the writer, re-run nautilus and emcee as attempt 2, defer NUTS and SMC with the OOM evidence.
-- 2026-10-17 — *run* — 412565 submitted: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)
-- 2026-10-17 — *run* — 412563 submitted: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)
-- 2026-10-17 — *run* — 412535 finished — wall 1:01: hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_dense_fp64 (submit_hst_cleanslate_jax_gpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_dense_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17 — COMPLETED 0:0 both seeds on gpu, ended ~17:46Z (elapsed 01:00:33 seed 0 / 00:58:35 seed 1); rows on RAL under results/slam/imaging/hst/slam_base/ and slam_base_lightfixed/hpc_a100_jax_gpu_dense_fp64__cleanslate_2026_10_17/stages_seed{0,1}.json; prepared problems exported to output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_dense_fp64/seed_0/{slam_base,slam_base_lightfixed}/; rows not yet pulled or committed, no walls read yet
-- 2026-10-17 — *run* — 412543 submitted: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17
+- 2026-10-19 — *note* — HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean up". Scheduler read 15:49:05Z: only 412541 and 412565 running; both scancelled ~15:51Z, queue empty; 412539 had COMPLETED. On "yes, go", autolens_inference#36 (flatten, closes #35) merged 15:53:33Z as c3ca4de; the RAL checkout fast-forwarded b91ce9c -> c3ca4de and the laptop to c3ca4de, after a full hpc/sync pull. flatten_cleanslate.py --apply: RAL 28 moves, 55 rewrites; laptop mirror 28 moves, 38 rewrites; both EXIT 0. New layout: output/autolens/imaging/hst/slam/&lt;variant>/&lt;config>/seed_&lt;n>/&lt;stage>/, output/autolens/prepared/&lt;config>/seed_&lt;n>/&lt;variant>/, rows at results/slam/imaging/hst/&lt;variant>/&lt;config>/ (no __cleanslate_2026_10_17 suffix). RAL and laptop each hold 1974 files with identical paths and sizes; hpc/sync status dry run transfers 0. Human, verbatim: "check some older chats, think we dont need prepared, experiments and experiment_sources to exist anymore? Can we archive them somewhere separate to makr things easier to follow. Then do the apply". The wave-1 attempt-1 material (output/experiments 341M, output/experiment_sources 76M, results/searches/experiments with 8 failed NUTS/SMC rows) moved to /mnt/ral/jnightin/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on RAL and /mnt/c/Users/Jammy/Science/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on the laptop. prepared/ KEPT as the agent's proposal, not yet confirmed by the human: wave.py needs its manifests, and so does the sparse fixed-light repro. Partial stage dirs of the cancelled legs remain; they are not failures. Execution completion only. No compute submitted.
+- 2026-10-19 — *run* — 412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-20:52:11). Complete at cancel (.completed markers): seeds 0 and 1 slam_base light[1], source_pix[1], source_pix[2], mass_total[1] (source_lp[1] shared from jax_cpu dense via --stages-from). Incomplete: slam_base_lightfixed mass_total[1] on both seeds (running). Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant>/hpc_a100_numba_cpu_sparse_fp64/seed_&lt;n>/ (flat layout, autolens_inference#36)
+- 2026-10-19 — *run* — 412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17 — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-23:04:43). Complete at cancel (.completed markers): seed 0 slam_base light[1], source_lp[1], source_pix[1], source_pix[2], mass_total[1]; seed 1 source_lp[1], source_pix[1]. Incomplete: seed 0 slam_base_lightfixed mass_total[1] (running), seed 1 source_pix[2] (running) onward and its lightfixed leg. Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant>/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n>/ (flat layout, autolens_inference#36)
+- 2026-10-19 — *run* — 412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17 — COMPLETED both seeds (sacct read 2026-10-19 15:49:05Z): 412539_0 ended 2026-10-18T23:46:01, 412539_1 ended 2026-10-18T20:43:11; rows not re-read in this record; on 2026-10-19 its output and rows moved to the flat layout (autolens_inference#36): output/autolens/imaging/hst/slam/&lt;variant>/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n>/, output/autolens/prepared/hpc_a100_jax_cpu_dense_fp64/, results/slam/imaging/hst/&lt;variant>/hpc_a100_jax_cpu_dense_fp64/
+- 2026-10-18 — *note* — HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base is jax_cpu dense, jax_cpu sparse and numba_cpu sparse. Canonical record: https://github.com/PyAutoLabs/PyAutoInsight/blob/main/decisions/hst-cleanslate-drop-numba-dense.md (Insight commit e289c04 on PR #36).
 
 [full log](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autolens_inference.md)
 
diff --git a/projects/autolens_inference.md b/projects/autolens_inference.md
index 555a77c..91691eb 100644
--- a/projects/autolens_inference.md
+++ b/projects/autolens_inference.md
@@ -5,17 +5,18 @@ Issue: autolens_inference#4
 
 ## Now
 
-Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-17T19:40Z. SLaM base arrays (seeds 0-1, --lens-light both): 412535 (jax_gpu dense) COMPLETED, rows and prepared problems on RAL, not yet pulled; 412537 (jax_gpu sparse), 412539 (jax_cpu dense) and 412541 (jax_cpu sparse) RUNNING since 16:46Z; 412563 (numba_cpu dense) and 412565 (numba_cpu sparse) on ral, 8 CPUs, submitted 18:58Z, waiting in-job on the shared source_lp[1] stage of hpc_a100_jax_cpu_dense_fp64 (rows mark it shared and exclude its wall from the numba chain wall). GPU sampler wave 1 (412543) attempt 1 failed on every arm in two classes: a row-writer TypeError on tuple-keyed parameter names after the nautilus and emcee fits completed, and A100 out-of-memory for NUTS (385.32GiB) and SMC (48.45GiB); pending arms 18-23 cancelled at 19:40Z, arms 9, 13, 17 still running then. Next: pull the A100 dense rows and read them; wave 1 attempt 2 (nautilus and emcee) after the writer fix in the filed Mind task, NUTS and SMC deferred with the OOM evidence; then the CPU wave once the CPU dense base rows land. No scientific acceptance implied.
+Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-19 15:49:05Z. Nothing is queued: on the human's decision, 412541 (jax_cpu sparse) and 412565 (numba_cpu sparse) were cancelled ~15:51Z with partial stages left on disk (no CPU fixed-light row exists). 412535 and 412537 (A100) and 412539 (jax_cpu dense) completed; numba_cpu dense dropped. The project is on the flat layout (autolens_inference#36, c3ca4de; output/autolens/..., rows at results/slam/imaging/hst/<variant>/<config>/), and the wave-1 attempt-1 material is set aside. Next, each needing the human's go: confirm keeping prepared/; a Mind bug task and laptop repro for the jax_gpu sparse fixed-light mass_total[1] divergence; rerun the cancelled sparse remainder (jax_cpu sparse seed 1 from source_pix[2], the lightfixed mass_total[1] legs); GPU wave 1 attempt 2 (nautilus+emcee); commit the clean-slate rows in a project PR. No scientific acceptance implied.
 
 ## Runs
 
-- 412539 — running — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_<n>/<variant>/; human-authorised 2026-10-17
-- 412541 — running — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_<n>/<variant>/; human-authorised 2026-10-17
 - 412543 — running — gpu — 2026-10-17 — hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17
-- 412565 — running — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now)
 
 ## Log
 
+- 2026-10-19 — note — HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean up". Scheduler read 15:49:05Z: only 412541 and 412565 running; both scancelled ~15:51Z, queue empty; 412539 had COMPLETED. On "yes, go", autolens_inference#36 (flatten, closes #35) merged 15:53:33Z as c3ca4de; the RAL checkout fast-forwarded b91ce9c -> c3ca4de and the laptop to c3ca4de, after a full hpc/sync pull. flatten_cleanslate.py --apply: RAL 28 moves, 55 rewrites; laptop mirror 28 moves, 38 rewrites; both EXIT 0. New layout: output/autolens/imaging/hst/slam/<variant>/<config>/seed_<n>/<stage>/, output/autolens/prepared/<config>/seed_<n>/<variant>/, rows at results/slam/imaging/hst/<variant>/<config>/ (no __cleanslate_2026_10_17 suffix). RAL and laptop each hold 1974 files with identical paths and sizes; hpc/sync status dry run transfers 0. Human, verbatim: "check some older chats, think we dont need prepared, experiments and experiment_sources to exist anymore? Can we archive them somewhere separate to makr things easier to follow. Then do the apply". The wave-1 attempt-1 material (output/experiments 341M, output/experiment_sources 76M, results/searches/experiments with 8 failed NUTS/SMC rows) moved to /mnt/ral/jnightin/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on RAL and /mnt/c/Users/Jammy/Science/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on the laptop. prepared/ KEPT as the agent's proposal, not yet confirmed by the human: wave.py needs its manifests, and so does the sparse fixed-light repro. Partial stage dirs of the cancelled legs remain; they are not failures. Execution completion only. No compute submitted.
+- 2026-10-19 — run — 412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-20:52:11). Complete at cancel (.completed markers): seeds 0 and 1 slam_base light[1], source_pix[1], source_pix[2], mass_total[1] (source_lp[1] shared from jax_cpu dense via --stages-from). Incomplete: slam_base_lightfixed mass_total[1] on both seeds (running). Partial stage dirs left on disk under output/autolens/imaging/hst/slam/<variant>/hpc_a100_numba_cpu_sparse_fp64/seed_<n>/ (flat layout, autolens_inference#36)
+- 2026-10-19 — run — 412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_<n>/<variant>/; human-authorised 2026-10-17 — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-23:04:43). Complete at cancel (.completed markers): seed 0 slam_base light[1], source_lp[1], source_pix[1], source_pix[2], mass_total[1]; seed 1 source_lp[1], source_pix[1]. Incomplete: seed 0 slam_base_lightfixed mass_total[1] (running), seed 1 source_pix[2] (running) onward and its lightfixed leg. Partial stage dirs left on disk under output/autolens/imaging/hst/slam/<variant>/hpc_a100_jax_cpu_sparse_fp64/seed_<n>/ (flat layout, autolens_inference#36)
+- 2026-10-19 — run — 412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_<n>/<variant>/; human-authorised 2026-10-17 — COMPLETED both seeds (sacct read 2026-10-19 15:49:05Z): 412539_0 ended 2026-10-18T23:46:01, 412539_1 ended 2026-10-18T20:43:11; rows not re-read in this record; on 2026-10-19 its output and rows moved to the flat layout (autolens_inference#36): output/autolens/imaging/hst/slam/<variant>/hpc_a100_jax_cpu_dense_fp64/seed_<n>/, output/autolens/prepared/hpc_a100_jax_cpu_dense_fp64/, results/slam/imaging/hst/<variant>/hpc_a100_jax_cpu_dense_fp64/
 - 2026-10-18 — note — HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base is jax_cpu dense, jax_cpu sparse and numba_cpu sparse. Canonical record: https://github.com/PyAutoLabs/PyAutoInsight/blob/main/decisions/hst-cleanslate-drop-numba-dense.md (Insight commit e289c04 on PR #36).
 - 2026-10-18 — note — OBSERVATION awaiting the human's reading, not a conclusion (architect, 2026-10-18 ~16:55Z, rows read on RAL, pin 2026.10.17.1): the slam_base_lightfixed mass_total[1] stage on the jax_gpu SPARSE inversion (412537) lands on a wrong, sharply peaked solution on both seeds: max logL about -43 500 against about +31 649 for the linear mode; log Z -43567.1 / -43201.6; posterior pinned at slope 2.964+-0.0004 / 2.963+-0.0002, einstein_radius 2.493 / 2.427, gamma_1 0.0994 / 0.0998, ell_comps_0 0.59 / 0.57; truth_delta_sigma slope 2250 / 6275 (seed 0 einstein_radius 114, gamma_1 289); 48 700 evaluations at seed 0. The same stage on the jax_gpu DENSE inversion (412535) is the best-recovered row of the campaign (worst abs delta-sigma 0.24 / 0.34). Stages 1-4 are shared between the two light modes, so the difference is isolated to the fixed-light mass_total[1] under the sparse path. Possibly a library or driver fault in the sparse (w_tilde) inversion with ordinary (non-linear) lens light profiles rather than a sampler effect; a laptop reproduction on the exported prepared problem is proposed before any CPU or sampler wave uses the sparse fixed-light problem. Human reading pending.
 - 2026-10-18 — run — 412563 failed — wall 0:01: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — FAILED 1:0 both seeds after 00:00:57 (sacct 2026-10-18 ~16:55Z); the in-job wait for the shared jax_cpu dense source_lp[1] passed (completed 18:58Z); source_pix[1] started 19:59Z and the first likelihood batch killed two Nautilus pool workers with SIGSEGV (exit -11), MaxRSS 356 MB so not an OOM kill; PyAutoFit _check_workers_alive raised SearchException; rows written as failed carrying only the shared source_lp[1] stage. The sibling numba sparse leg 412565 runs the same pool without crashing. Rerun options (--cores 1, or NUMBA_THREADING_LAYER=workqueue) await a human decision
diff --git a/state.json b/state.json
index c5b24e9..c8a1d8e 100644
--- a/state.json
+++ b/state.json
@@ -3,8 +3,8 @@
   "organ": "cortex",
   "repo": "PyAutoCortex",
   "status": "yellow",
-  "headline": "YELLOW \u2014 11 active \u00b7 20 running",
-  "updated": "2026-10-18T08:17:23Z",
+  "headline": "YELLOW \u2014 11 active \u00b7 17 running",
+  "updated": "2026-10-19T17:20:12Z",
   "pages_url": "https://pyautolabs.github.io/PyAutoCortex/",
   "items": [
     {
@@ -111,19 +111,7 @@
     },
     {
       "severity": "info",
-      "text": "autolens_inference: 412537 running (gpu)",
-      "url": "https://github.com/PyAutoLabs/autolens_inference/issues/4",
-      "prompt": "Use the cortex skill. \u2014 resume autolens_inference: read PyAutoCortex projects/autolens_inference.md (Now, Runs, Log) and then /home/jammy/Code/PyAutoLabs/lens/autolens_inference/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say."
-    },
-    {
-      "severity": "info",
-      "text": "autolens_inference: 412539 running (ral)",
-      "url": "https://github.com/PyAutoLabs/autolens_inference/issues/4",
-      "prompt": "Use the cortex skill. \u2014 resume autolens_inference: read PyAutoCortex projects/autolens_inference.md (Now, Runs, Log) and then /home/jammy/Code/PyAutoLabs/lens/autolens_inference/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say."
-    },
-    {
-      "severity": "info",
-      "text": "autolens_inference: 412541 running (ral)",
+      "text": "autolens_inference: 412543 running (gpu)",
       "url": "https://github.com/PyAutoLabs/autolens_inference/issues/4",
       "prompt": "Use the cortex skill. \u2014 resume autolens_inference: read PyAutoCortex projects/autolens_inference.md (Now, Runs, Log) and then /home/jammy/Code/PyAutoLabs/lens/autolens_inference/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say."
     }

From e3ab3562e3a0712a14513915c92477cae738beb3 Mon Sep 17 00:00:00 2001
From: Jammy2211 <JNightingale2211@gmail.com>
Date: Mon, 19 Oct 2026 18:21:26 +0100
Subject: [PATCH 2/2] =?UTF-8?q?cortex:=20autolens=5Finference=20=E2=80=94?=
 =?UTF-8?q?=20412543=20(wave=201=20attempt=201)=20failed=20per=20sacct,=20?=
 =?UTF-8?q?412539=20elapsed=20noted?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Both from sacct read 2026-10-19 ~17:25Z by the session architect; written via
cortex.py done/log; dashboard re-rendered with --cortex <worktree>.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 dashboard.html                 | 25 ++++++++++---------------
 dashboard.md                   | 24 ++++++++----------------
 projects/autolens_inference.md |  3 ++-
 state.json                     | 10 ++--------
 4 files changed, 22 insertions(+), 40 deletions(-)

diff --git a/dashboard.html b/dashboard.html
index 9004150..58378eb 100644
--- a/dashboard.html
+++ b/dashboard.html
@@ -333,11 +333,11 @@
 - Open autolens_inference: https://github.com/PyAutoLabs/autolens_inference
 - Open autofit_inference: https://github.com/PyAutoLabs/autofit_inference
 - Open euclid_detailed: https://github.com/PyAutoLabs/euclid_detailed
-- Open cowls: https://github.com/PyAutoLabs/cowls</textarea></details><div class="orchestration-freshness" data-freshness="grey"><details data-freshness-stamp data-refreshed-at="2026-10-19T17:20:11Z"><summary><span data-freshness-label>Last updated 2026-10-19 17:20:11 UTC</span></summary><time datetime="2026-10-19T17:20:11Z">2026-10-19 17:20:11 UTC</time></details><a data-refresh-link href="https://github.com/PyAutoLabs/PyAutoCortex/actions/workflows/dashboard_refresh.yml" title="Open the dashboard refresh controls">↻ Update</a></div></div><p class="orchestration-status" role="status" aria-live="polite"></p></section>
-<nav class="board-nav" aria-label="Board sections"><a class="board-nav-card" href="#summary"><span class="board-nav-count">17</span><span class="board-nav-label">Running</span></a><a class="board-nav-card" href="#summary"><span class="board-nav-count">47</span><span class="board-nav-label">Open</span></a><a class="board-nav-card" href="#projects"><span class="board-nav-count">11</span><span class="board-nav-label">Projects</span></a><a class="board-nav-card" href="#orchestration-cortex"><span class="board-nav-label">Check in</span></a></nav>
+- Open cowls: https://github.com/PyAutoLabs/cowls</textarea></details><div class="orchestration-freshness" data-freshness="grey"><details data-freshness-stamp data-refreshed-at="2026-10-19T17:21:21Z"><summary><span data-freshness-label>Last updated 2026-10-19 17:21:21 UTC</span></summary><time datetime="2026-10-19T17:21:21Z">2026-10-19 17:21:21 UTC</time></details><a data-refresh-link href="https://github.com/PyAutoLabs/PyAutoCortex/actions/workflows/dashboard_refresh.yml" title="Open the dashboard refresh controls">↻ Update</a></div></div><p class="orchestration-status" role="status" aria-live="polite"></p></section>
+<nav class="board-nav" aria-label="Board sections"><a class="board-nav-card" href="#summary"><span class="board-nav-count">16</span><span class="board-nav-label">Running</span></a><a class="board-nav-card" href="#summary"><span class="board-nav-count">47</span><span class="board-nav-label">Open</span></a><a class="board-nav-card" href="#projects"><span class="board-nav-count">11</span><span class="board-nav-label">Projects</span></a><a class="board-nav-card" href="#orchestration-cortex"><span class="board-nav-label">Check in</span></a></nav>
 
 <p class="muted mdsrc"><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/dashboard.md" class="board-source-link" title="Markdown version" aria-label="Markdown version"><svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true" focusable="false"><path d="M14 3H6a1 1 0 0 0-1 1v16a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1V8Z"/><path d="M14 3v5h5M8 12h8M8 16h6"/></svg></a></p>
-<details class="board-section"><summary><h2>Summary</h2><span class="section-badge">17 Running · 47 Open</span></summary><div class="board-section-body"><a id="summary"></a>
+<details class="board-section"><summary><h2>Summary</h2><span class="section-badge">16 Running · 47 Open</span></summary><div class="board-section-body"><a id="summary"></a>
 <table class="map">
 <tr><th>Project</th><th>Running</th><th>Open</th><th>Last update</th></tr>
 <tr><td><b>subhalo_validation</b></td><td>0</td><td>5</td><td>2026-09-07</td></tr>
@@ -347,7 +347,7 @@
 <tr><td><b>ep_toy_gaussian</b></td><td>0</td><td>0</td><td>2026-10-14</td></tr>
 <tr><td><b>slope_hierarchy_scale</b></td><td>0</td><td>0</td><td>2026-10-14</td></tr>
 <tr><td><b>ic50_workspace</b></td><td>0</td><td>0</td><td>2026-10-14</td></tr>
-<tr><td><b>autolens_inference</b></td><td>1</td><td>0</td><td>2026-10-19</td></tr>
+<tr><td><b>autolens_inference</b></td><td>0</td><td>0</td><td>2026-10-19</td></tr>
 <tr><td><b>autofit_inference</b></td><td>0</td><td>0</td><td>2026-10-16</td></tr>
 <tr><td><b>euclid_detailed</b></td><td>0</td><td>0</td><td>2026-10-15</td></tr>
 <tr><td><b>cowls</b></td><td>0</td><td>0</td><td>2026-10-15</td></tr>
@@ -610,7 +610,7 @@ <h4>Runs (0)</h4>
 </div>
 </details>
 <details class="project" id="project-autolens_inference">
-<summary><h3>autolens_inference</h3><span class="purpose">Do the PyAutoLens inference backends agree on the HST SLaM posterior</span><span class="meta">1 running · 0 open · updated 2026-10-19</span></summary>
+<summary><h3>autolens_inference</h3><span class="purpose">Do the PyAutoLens inference backends agree on the HST SLaM posterior</span><span class="meta">no runs recorded · updated 2026-10-19</span></summary>
 <div class="project-body">
 <dl class="where">
 <dt>Registered:</dt><dd>not recorded</dd>
@@ -621,20 +621,15 @@ <h4>Current position</h4>
 <p>Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read 2026-10-19 15:49:05Z. Nothing is queued: on the human's decision, 412541 (jax_cpu sparse) and 412565 (numba_cpu sparse) were cancelled ~15:51Z with partial stages left on disk (no CPU fixed-light row exists). 412535 and 412537 (A100) and 412539 (jax_cpu dense) completed; numba_cpu dense dropped. The project is on the flat layout (autolens_inference#36, c3ca4de; output/autolens/..., rows at results/slam/imaging/hst/&lt;variant&gt;/&lt;config&gt;/), and the wave-1 attempt-1 material is set aside. Next, each needing the human's go: confirm keeping prepared/; a Mind bug task and laptop repro for the jax_gpu sparse fixed-light mass_total[1] divergence; rerun the cancelled sparse remainder (jax_cpu sparse seed 1 from source_pix[2], the lightfixed mass_total[1] legs); GPU wave 1 attempt 2 (nautilus+emcee); commit the clean-slate rows in a project PR. No scientific acceptance implied.</p></div>
 <button class="copy resume" aria-label="Copy resume prompt for autolens_inference" title="Copy resume prompt for autolens_inference" data-cmd="Use the cortex skill. — resume autolens_inference: read PyAutoCortex projects/autolens_inference.md (Now, Runs, Log) and then /home/jammy/Code/PyAutoLabs/lens/autolens_inference/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say.">📋</button>
 </div>
-<h4>Runs (1)</h4>
-<table class="runs" aria-label="Runs recorded for autolens_inference">
-<thead><tr><th scope="col">Job</th><th scope="col">State</th><th scope="col">Partition</th><th scope="col">Date</th><th scope="col">Description</th></tr></thead>
-<tbody>
-<tr><td class="job"><code>412543</code></td><td class="state" data-label="State"><span class="pill y">running</span></td><td class="part" data-label="Partition">gpu</td><td class="date">2026-10-17</td><td class="what"><details class="full"><summary><span class="clip">hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampl…</span><span class="less">show less</span></summary><p>hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1;<br> human-authorised 2026-10-17</p></details></td></tr>
-</tbody>
-</table>
-<details class="sub"><summary>Recent log — 5 of 43 entries</summary>
+<h4>Runs (0)</h4>
+<p class="muted">nothing on the cluster</p>
+<details class="sub"><summary>Recent log — 5 of 45 entries</summary>
 <ul class="log">
+<li>2026-10-19 — <i>note</i> — <details class="full"><summary><span class="clip">412539 (jax_cpu dense) elapsed from sacct, read 2026-10-19 ~17:25Z by the session architect: 412539_0 1-05:59:53 (ended 2026-10-18T23:46:01), 412539_1 1-02:57:03 (ended 2026-10-18T20:43:11). This supplements the 2026-10-19 finished entry,…</span><span class="less">show less</span></summary><p>412539 (jax_cpu dense) elapsed from sacct, read 2026-10-19 ~17:25Z by the session architect: 412539_0 1-05:59:53 (ended 2026-10-18T23:46:01), 412539_1 1-02:57:03 (ended 2026-10-18T20:43:11). This supplements the 2026-10-19 finished entry, which carries no wall. Its rows have still not been read.</p></details></li>
+<li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412543 failed — wall 0:47: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 pr…</span><span class="less">show less</span></summary><p>412543 failed — wall 0:47: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17 — sacct read 2026-10-19 ~17:25Z by the session architect: tasks _0.._17 all FAILED on 2026-10-17 (ends 18:51:38-20:32:26Z, elapsed 00:04:15-00:47:10; wall given is the longest task); _18 CANCELLED after 00:04:00; _[19-23] CANCELLED unstarted 2026-10-17T20:01:03Z. Failure classes as in the 2026-10-17 note (NUTS/SMC A100 OOM; nautilus/emcee row-writer TypeError). Its output and the 8 failed NUTS/SMC rows were moved aside on 2026-10-19 to aside/autolens_inference_cleanslate_wave1_attempt1/ (RAL and laptop)</p></details></li>
 <li>2026-10-19 — <i>note</i> — <details class="full"><summary><span class="clip">HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean u…</span><span class="less">show less</span></summary><p>HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean up". Scheduler read 15:49:05Z: only 412541 and 412565 running; both scancelled ~15:51Z, queue empty; 412539 had COMPLETED. On "yes, go", autolens_inference#36 (flatten, closes #35) merged 15:53:33Z as c3ca4de; the RAL checkout fast-forwarded b91ce9c -&gt; c3ca4de and the laptop to c3ca4de, after a full hpc/sync pull. flatten_cleanslate.py --apply: RAL 28 moves, 55 rewrites; laptop mirror 28 moves, 38 rewrites; both EXIT 0. New layout: output/autolens/imaging/hst/slam/&lt;variant&gt;/&lt;config&gt;/seed_&lt;n&gt;/&lt;stage&gt;/, output/autolens/prepared/&lt;config&gt;/seed_&lt;n&gt;/&lt;variant&gt;/, rows at results/slam/imaging/hst/&lt;variant&gt;/&lt;config&gt;/ (no __cleanslate_2026_10_17 suffix). RAL and laptop each hold 1974 files with identical paths and sizes; hpc/sync status dry run transfers 0. Human, verbatim: "check some older chats, think we dont need prepared, experiments and experiment_sources to exist anymore? Can we archive them somewhere separate to makr things easier to follow. Then do the apply". The wave-1 attempt-1 material (output/experiments 341M, output/experiment_sources 76M, results/searches/experiments with 8 failed NUTS/SMC rows) moved to /mnt/ral/jnightin/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on RAL and /mnt/c/Users/Jammy/Science/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on the laptop. prepared/ KEPT as the agent's proposal, not yet confirmed by the human: wave.py needs its manifests, and so does the sparse fixed-light repro. Partial stage dirs of the cancelled legs remain; they are not failures. Execution completion only. No compute submitted.</p></details></li>
 <li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026…</span><span class="less">show less</span></summary><p>412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-20:52:11). Complete at cancel (.completed markers): seeds 0 and 1 slam_base light[1], source_pix[1], source_pix[2], mass_total[1] (source_lp[1] shared from jax_cpu dense via --stages-from). Incomplete: slam_base_lightfixed mass_total[1] on both seeds (running). Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant&gt;/hpc_a100_numba_cpu_sparse_fp64/seed_&lt;n&gt;/ (flat layout, autolens_inference#36)</p></details></li>
 <li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.1…</span><span class="less">show less</span></summary><p>412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n&gt;/&lt;variant&gt;/; human-authorised 2026-10-17 — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-23:04:43). Complete at cancel (.completed markers): seed 0 slam_base light[1], source_lp[1], source_pix[1], source_pix[2], mass_total[1]; seed 1 source_lp[1], source_pix[1]. Incomplete: seed 0 slam_base_lightfixed mass_total[1] (running), seed 1 source_pix[2] (running) onward and its lightfixed leg. Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant&gt;/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n&gt;/ (flat layout, autolens_inference#36)</p></details></li>
-<li>2026-10-19 — <i>run</i> — <details class="full"><summary><span class="clip">412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), outp…</span><span class="less">show less</span></summary><p>412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n&gt;/&lt;variant&gt;/; human-authorised 2026-10-17 — COMPLETED both seeds (sacct read 2026-10-19 15:49:05Z): 412539_0 ended 2026-10-18T23:46:01, 412539_1 ended 2026-10-18T20:43:11; rows not re-read in this record; on 2026-10-19 its output and rows moved to the flat layout (autolens_inference#36): output/autolens/imaging/hst/slam/&lt;variant&gt;/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n&gt;/, output/autolens/prepared/hpc_a100_jax_cpu_dense_fp64/, results/slam/imaging/hst/&lt;variant&gt;/hpc_a100_jax_cpu_dense_fp64/</p></details></li>
-<li>2026-10-18 — <i>note</i> — <details class="full"><summary><span class="clip">HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base…</span><span class="less">show less</span></summary><p>HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base is jax_cpu dense, jax_cpu sparse and numba_cpu sparse. Canonical record: https://github.com/PyAutoLabs/PyAutoInsight/blob/main/decisions/hst-cleanslate-drop-numba-dense.md (Insight commit e289c04 on PR #36).</p></details></li>
 </ul>
 <p class="muted"><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autolens_inference.md">full log</a></p>
 <p class="muted">active · both · <a href="https://github.com/PyAutoLabs/autolens_inference/issues/4">autolens_inference#4</a></p>
diff --git a/dashboard.md b/dashboard.md
index dd722b3..c67b28c 100644
--- a/dashboard.md
+++ b/dashboard.md
@@ -10,7 +10,7 @@ One ledger per science project: what is on the cluster right now, what the human
 
 | Where | Count |
 |-------|------:|
-| [Running](#projects) | 17 |
+| [Running](#projects) | 16 |
 | [Open](#projects) | 47 |
 | [Projects](#projects) | 11 |
 
@@ -49,7 +49,7 @@ Last check-in: 2026-10-17T11:18Z.
 | ep_toy_gaussian | 0 | 0 | 2026-10-14 |
 | slope_hierarchy_scale | 0 | 0 | 2026-10-14 |
 | ic50_workspace | 0 | 0 | 2026-10-14 |
-| autolens_inference | 1 | 0 | 2026-10-19 |
+| autolens_inference | 0 | 0 | 2026-10-19 |
 | autofit_inference | 0 | 0 | 2026-10-16 |
 | euclid_detailed | 0 | 0 | 2026-10-15 |
 | cowls | 0 | 0 | 2026-10-15 |
@@ -456,7 +456,7 @@ active · ral · [PyAutoCortex#36](https://github.com/PyAutoLabs/PyAutoCortex/is
 
 </details>
 
-<details id="project-autolens_inference"><summary><b>autolens_inference</b> — Do the PyAutoLens inference backends agree on the HST SLaM posterior · 1 running · 0 open · updated 2026-10-19</summary>
+<details id="project-autolens_inference"><summary><b>autolens_inference</b> — Do the PyAutoLens inference backends agree on the HST SLaM posterior · no runs recorded · updated 2026-10-19</summary>
 
 **Registered:** not recorded
 
@@ -476,25 +476,17 @@ Use the cortex skill. — resume autolens_inference: read PyAutoCortex projects/
 
 </details>
 
-**Runs** (1)
-
-| Job | State | Partition | Date | Description |
-|---|---|---|---|---|
-| `412543` | running | gpu | 2026-10-17 | hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampl… |
-
-<details><summary>Full descriptions (1 shortened above)</summary>
-
-- `412543` — hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17
+**Runs** (0)
 
-</details>
+_nothing on the cluster_
 
-<details><summary>Recent log — 5 of 43 entries</summary>
+<details><summary>Recent log — 5 of 45 entries</summary>
 
+- 2026-10-19 — *note* — 412539 (jax_cpu dense) elapsed from sacct, read 2026-10-19 ~17:25Z by the session architect: 412539_0 1-05:59:53 (ended 2026-10-18T23:46:01), 412539_1 1-02:57:03 (ended 2026-10-18T20:43:11). This supplements the 2026-10-19 finished entry, which carries no wall. Its rows have still not been read.
+- 2026-10-19 — *run* — 412543 failed — wall 0:47: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17 — sacct read 2026-10-19 ~17:25Z by the session architect: tasks _0.._17 all FAILED on 2026-10-17 (ends 18:51:38-20:32:26Z, elapsed 00:04:15-00:47:10; wall given is the longest task); _18 CANCELLED after 00:04:00; _[19-23] CANCELLED unstarted 2026-10-17T20:01:03Z. Failure classes as in the 2026-10-17 note (NUTS/SMC A100 OOM; nautilus/emcee row-writer TypeError). Its output and the 8 failed NUTS/SMC rows were moved aside on 2026-10-19 to aside/autolens_inference_cleanslate_wave1_attempt1/ (RAL and laptop)
 - 2026-10-19 — *note* — HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean up". Scheduler read 15:49:05Z: only 412541 and 412565 running; both scancelled ~15:51Z, queue empty; 412539 had COMPLETED. On "yes, go", autolens_inference#36 (flatten, closes #35) merged 15:53:33Z as c3ca4de; the RAL checkout fast-forwarded b91ce9c -> c3ca4de and the laptop to c3ca4de, after a full hpc/sync pull. flatten_cleanslate.py --apply: RAL 28 moves, 55 rewrites; laptop mirror 28 moves, 38 rewrites; both EXIT 0. New layout: output/autolens/imaging/hst/slam/&lt;variant>/&lt;config>/seed_&lt;n>/&lt;stage>/, output/autolens/prepared/&lt;config>/seed_&lt;n>/&lt;variant>/, rows at results/slam/imaging/hst/&lt;variant>/&lt;config>/ (no __cleanslate_2026_10_17 suffix). RAL and laptop each hold 1974 files with identical paths and sizes; hpc/sync status dry run transfers 0. Human, verbatim: "check some older chats, think we dont need prepared, experiments and experiment_sources to exist anymore? Can we archive them somewhere separate to makr things easier to follow. Then do the apply". The wave-1 attempt-1 material (output/experiments 341M, output/experiment_sources 76M, results/searches/experiments with 8 failed NUTS/SMC rows) moved to /mnt/ral/jnightin/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on RAL and /mnt/c/Users/Jammy/Science/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on the laptop. prepared/ KEPT as the agent's proposal, not yet confirmed by the human: wave.py needs its manifests, and so does the sparse fixed-light repro. Partial stage dirs of the cancelled legs remain; they are not failures. Execution completion only. No compute submitted.
 - 2026-10-19 — *run* — 412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-20:52:11). Complete at cancel (.completed markers): seeds 0 and 1 slam_base light[1], source_pix[1], source_pix[2], mass_total[1] (source_lp[1] shared from jax_cpu dense via --stages-from). Incomplete: slam_base_lightfixed mass_total[1] on both seeds (running). Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant>/hpc_a100_numba_cpu_sparse_fp64/seed_&lt;n>/ (flat layout, autolens_inference#36)
 - 2026-10-19 — *run* — 412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17 — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-23:04:43). Complete at cancel (.completed markers): seed 0 slam_base light[1], source_lp[1], source_pix[1], source_pix[2], mass_total[1]; seed 1 source_lp[1], source_pix[1]. Incomplete: seed 0 slam_base_lightfixed mass_total[1] (running), seed 1 source_pix[2] (running) onward and its lightfixed leg. Partial stage dirs left on disk under output/autolens/imaging/hst/slam/&lt;variant>/hpc_a100_jax_cpu_sparse_fp64/seed_&lt;n>/ (flat layout, autolens_inference#36)
-- 2026-10-19 — *run* — 412539 finished: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n>/&lt;variant>/; human-authorised 2026-10-17 — COMPLETED both seeds (sacct read 2026-10-19 15:49:05Z): 412539_0 ended 2026-10-18T23:46:01, 412539_1 ended 2026-10-18T20:43:11; rows not re-read in this record; on 2026-10-19 its output and rows moved to the flat layout (autolens_inference#36): output/autolens/imaging/hst/slam/&lt;variant>/hpc_a100_jax_cpu_dense_fp64/seed_&lt;n>/, output/autolens/prepared/hpc_a100_jax_cpu_dense_fp64/, results/slam/imaging/hst/&lt;variant>/hpc_a100_jax_cpu_dense_fp64/
-- 2026-10-18 — *note* — HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base is jax_cpu dense, jax_cpu sparse and numba_cpu sparse. Canonical record: https://github.com/PyAutoLabs/PyAutoInsight/blob/main/decisions/hst-cleanslate-drop-numba-dense.md (Insight commit e289c04 on PR #36).
 
 [full log](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autolens_inference.md)
 
diff --git a/projects/autolens_inference.md b/projects/autolens_inference.md
index 91691eb..3a15a0a 100644
--- a/projects/autolens_inference.md
+++ b/projects/autolens_inference.md
@@ -9,10 +9,11 @@ Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read
 
 ## Runs
 
-- 412543 — running — gpu — 2026-10-17 — hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17
 
 ## Log
 
+- 2026-10-19 — note — 412539 (jax_cpu dense) elapsed from sacct, read 2026-10-19 ~17:25Z by the session architect: 412539_0 1-05:59:53 (ended 2026-10-18T23:46:01), 412539_1 1-02:57:03 (ended 2026-10-18T20:43:11). This supplements the 2026-10-19 finished entry, which carries no wall. Its rows have still not been read.
+- 2026-10-19 — run — 412543 failed — wall 0:47: hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17 — sacct read 2026-10-19 ~17:25Z by the session architect: tasks _0.._17 all FAILED on 2026-10-17 (ends 18:51:38-20:32:26Z, elapsed 00:04:15-00:47:10; wall given is the longest task); _18 CANCELLED after 00:04:00; _[19-23] CANCELLED unstarted 2026-10-17T20:01:03Z. Failure classes as in the 2026-10-17 note (NUTS/SMC A100 OOM; nautilus/emcee row-writer TypeError). Its output and the 8 failed NUTS/SMC rows were moved aside on 2026-10-19 to aside/autolens_inference_cleanslate_wave1_attempt1/ (RAL and laptop)
 - 2026-10-19 — note — HUMAN DECISION 2026-10-19, verbatim: "I want us to check the on going inference campaign on RAL, but I am ready for us to update folder structures on RAL and locally and clean things up so cancel on going jobs and we'll work on the clean up". Scheduler read 15:49:05Z: only 412541 and 412565 running; both scancelled ~15:51Z, queue empty; 412539 had COMPLETED. On "yes, go", autolens_inference#36 (flatten, closes #35) merged 15:53:33Z as c3ca4de; the RAL checkout fast-forwarded b91ce9c -> c3ca4de and the laptop to c3ca4de, after a full hpc/sync pull. flatten_cleanslate.py --apply: RAL 28 moves, 55 rewrites; laptop mirror 28 moves, 38 rewrites; both EXIT 0. New layout: output/autolens/imaging/hst/slam/<variant>/<config>/seed_<n>/<stage>/, output/autolens/prepared/<config>/seed_<n>/<variant>/, rows at results/slam/imaging/hst/<variant>/<config>/ (no __cleanslate_2026_10_17 suffix). RAL and laptop each hold 1974 files with identical paths and sizes; hpc/sync status dry run transfers 0. Human, verbatim: "check some older chats, think we dont need prepared, experiments and experiment_sources to exist anymore? Can we archive them somewhere separate to makr things easier to follow. Then do the apply". The wave-1 attempt-1 material (output/experiments 341M, output/experiment_sources 76M, results/searches/experiments with 8 failed NUTS/SMC rows) moved to /mnt/ral/jnightin/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on RAL and /mnt/c/Users/Jammy/Science/inference/aside/autolens_inference_cleanslate_wave1_attempt1/ on the laptop. prepared/ KEPT as the agent's proposal, not yet confirmed by the human: wave.py needs its manifests, and so does the sparse fixed-light repro. Partial stage dirs of the cancelled legs remain; they are not failures. Execution completion only. No compute submitted.
 - 2026-10-19 — run — 412565 failed — wall 44:52: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-20:52:11). Complete at cancel (.completed markers): seeds 0 and 1 slam_base light[1], source_pix[1], source_pix[2], mass_total[1] (source_lp[1] shared from jax_cpu dense via --stages-from). Incomplete: slam_base_lightfixed mass_total[1] on both seeds (running). Partial stage dirs left on disk under output/autolens/imaging/hst/slam/<variant>/hpc_a100_numba_cpu_sparse_fp64/seed_<n>/ (flat layout, autolens_inference#36)
 - 2026-10-19 — run — 412541 failed — wall 47:04: hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_<n>/<variant>/; human-authorised 2026-10-17 — CANCELLED by scancel ~15:51Z on the human's decision, not a run failure (sacct CANCELLED, elapsed 1-23:04:43). Complete at cancel (.completed markers): seed 0 slam_base light[1], source_lp[1], source_pix[1], source_pix[2], mass_total[1]; seed 1 source_lp[1], source_pix[1]. Incomplete: seed 0 slam_base_lightfixed mass_total[1] (running), seed 1 source_pix[2] (running) onward and its lightfixed leg. Partial stage dirs left on disk under output/autolens/imaging/hst/slam/<variant>/hpc_a100_jax_cpu_sparse_fp64/seed_<n>/ (flat layout, autolens_inference#36)
diff --git a/state.json b/state.json
index c8a1d8e..42c92fd 100644
--- a/state.json
+++ b/state.json
@@ -3,8 +3,8 @@
   "organ": "cortex",
   "repo": "PyAutoCortex",
   "status": "yellow",
-  "headline": "YELLOW \u2014 11 active \u00b7 17 running",
-  "updated": "2026-10-19T17:20:12Z",
+  "headline": "YELLOW \u2014 11 active \u00b7 16 running",
+  "updated": "2026-10-19T17:21:21Z",
   "pages_url": "https://pyautolabs.github.io/PyAutoCortex/",
   "items": [
     {
@@ -108,12 +108,6 @@
       "text": "euclid_dr1: 402722 running (ral)",
       "url": null,
       "prompt": "Use the cortex skill. \u2014 resume euclid_dr1: read PyAutoCortex projects/euclid_dr1.md (Now, Runs, Log) and then /mnt/c/Users/Jammy/Science/euclid_dr1/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say."
-    },
-    {
-      "severity": "info",
-      "text": "autolens_inference: 412543 running (gpu)",
-      "url": "https://github.com/PyAutoLabs/autolens_inference/issues/4",
-      "prompt": "Use the cortex skill. \u2014 resume autolens_inference: read PyAutoCortex projects/autolens_inference.md (Now, Runs, Log) and then /home/jammy/Code/PyAutoLabs/lens/autolens_inference/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say."
     }
   ]
 }