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cortex: ordered-MGE witness and control runs pulled
342375_[0-1] (ordered witness) and 342377_0 (unordered control) finished on
RAL and were pulled to output_ordered_witness/. Both tasks move submitted →
running; dashboard regenerated.
The project's hpc/sync PULL_DIRS does not list output_ordered_witness, so the
check-in's pull never fetched these results and the scorer fell back to a stale
output/ run dir. Pulled with a temporary copy of the project's own sync CLI;
the PULL_DIRS gap and the scorer's run-dir discovery are filed separately.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01T1hzGDteJ7tPtEfwJnQQ2x
<tr><td><b>euclid_dr1_prelim</b></td><td>Ten real DR1 lenses fitted from the pipeline repo alone</td><td>0</td><td>3</td><td>-</td></tr>
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<tr><td><b>euclid_dr1_prelim</b></td><td>Is the ordered run's 8-nat gain ordering or library drift</td><td>0</td><td>3</td><td>-</td></tr>
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<tr><td><b>slope_hierarchy_scale</b></td><td>Does hierarchical slope recovery hold at N=25 to 50</td><td>0</td><td>1</td><td>-</td></tr>
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<tr><td><b>subhalo_validation</b></td><td>Does rectangular_adapt false-detect a subhalo on the clumpy source</td><td>0</td><td>5</td><td>2026-09-07</td></tr>
<divclass="task"><buttonclass="copy" data-cmd="Report where the runs of the PyAutoCortex task tasks/euclid_dr1_prelim/ordered_mge_control_unordered_102005065.md (342377_0) stand." aria-label="Copy the Claude command">📋</button><p><ahref="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1_prelim/ordered_mge_control_unordered_102005065.md">Is the ordered run's 8-nat gain ordering or library drift</a><spanclass="tags"><spanclass="pill y">running</span></span><spanclass="facets"> — runs 342377_0 · wall 0:00 of 8:00 (0%)</span></p></div>
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<divclass="task"><buttonclass="copy" data-cmd="Report where the runs of the PyAutoCortex task tasks/euclid_dr1_prelim/ordered_mge_witness_102005065.md (342375_[0-1]) stand." aria-label="Copy the Claude command">📋</button><p><ahref="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1_prelim/ordered_mge_witness_102005065.md">Does ordering the MGE bases fix labelling on one tile</a><spanclass="tags"><spanclass="pill y">running</span></span><spanclass="facets"> — runs 342375_[0-1] · wall 0:00 of 8:00 (0%)</span></p></div>
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<divclass="task"><buttonclass="copy" data-cmd="Report where the runs of the PyAutoCortex task tasks/euclid_dr1_prelim/dr1_prelim_10_lens_science_run.md (342301_[0-9], 342314_3) stand." aria-label="Copy the Claude command">📋</button><p><ahref="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1_prelim/dr1_prelim_10_lens_science_run.md">Ten real DR1 lenses fitted from the pipeline repo alone</a><spanclass="tags"><spanclass="pill y">submitted</span></span><spanclass="facets"> — runs 342301_[0-9], 342314_3 · wall 0:00 of 48:00 (0%)</span></p></div>
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<divclass="task"><buttonclass="copy" data-cmd="Report where the runs of the PyAutoCortex task tasks/euclid_dr1_prelim/ordered_mge_control_unordered_102005065.md (342377_0) stand." aria-label="Copy the Claude command">📋</button><p><ahref="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1_prelim/ordered_mge_control_unordered_102005065.md">Is the ordered run's 8-nat gain ordering or library drift</a><spanclass="tags"><spanclass="pill y">submitted</span></span><spanclass="facets"> — runs 342377_0 · wall 0:00 of 8:00 (0%)</span></p></div>
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<divclass="task"><buttonclass="copy" data-cmd="Report where the runs of the PyAutoCortex task tasks/euclid_dr1_prelim/ordered_mge_witness_102005065.md (342375_[0-1]) stand." aria-label="Copy the Claude command">📋</button><p><ahref="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/tasks/euclid_dr1_prelim/ordered_mge_witness_102005065.md">Does ordering the MGE bases fix labelling on one tile</a><spanclass="tags"><spanclass="pill y">submitted</span></span><spanclass="facets"> — runs 342375_[0-1] · wall 0:00 of 8:00 (0%)</span></p></div>
Copy file name to clipboardExpand all lines: tasks/euclid_dr1_prelim/ordered_mge_control_unordered_102005065.md
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Project: euclid_dr1_prelim
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Summary: Is the ordered run's 8-nat gain ordering or library drift
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State: submitted
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State: running
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Gates:
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Witness: One unseeded vis_lp run of tile 102005065 with order_bases=False on today's stack (PyAutoFit 84512bffa, PyAutoGalaxy 99cf7429), own output root output_ordered_witness/control_unordered: if its log evidence lands within 1.0 of the unordered phase-4 baseline 9492.74 with the wide two-mode per-set ell_comps marginals, the ordered runs' log Z 9501.04 and narrow marginals are the ordering's doing; if it lands within 1.0 of 9501.04, the gain is library drift and the ordering's contribution is the collapsed marginals only; mass ell_comps_1 (-0.010 baseline vs -0.127 ordered) reported either way.
Witness: Two independent unseeded vis_lp runs of the ordered model (mge_model_from order_bases=True, ell_comps_limit=0.5; pipeline#58) on tile 102005065, each in its own PYAUTO_OUTPUT_DIR, give set-A and set-B ell_comps that agree run-to-run to within 0.05 per component with no A<->B swap; log evidence within 1.0 of the unordered phase-4 vis_lp run of this tile (342301_0); per-set ell_comps marginal widths narrower than the unordered run's (the two-mode mixture collapses); wall time per run reported against 342301_0's 5:35 for the speed comparison.
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