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12 changes: 12 additions & 0 deletions active.md
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# Active Tasks

## inference-method-cards-seed
- issue: https://github.com/PyAutoLabs/autolens_profiling/issues/140
- session: Claude Code cloud/mobile (no local worktree)
- status: library-dev
- worktree: none β€” cloud session works on the GitHub clone directly
- repos:
- autolens_profiling: feature/inference-method-cards-seed
- prompt: active/inference_method_cards_seed.md
- note: docs-only β€” seed methods/{nautilus,nss,multi_start_prodigy,multi_start_adam}.md
from the existing benchmark record (PROGRAMME Β§6 template) + tick Phase 0(e) in
the PROGRAMME phase table (recorded follow-up from searches-readme-dashboard).

## stored-sample-reconstruction-guard
- issue: https://github.com/PyAutoLabs/PyAutoFit/issues/1486
- status: library-dev β€” WORKSPACE HALF SHIPPED; the PyAutoFit hardening (#1486) is what remains
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39 changes: 39 additions & 0 deletions active/inference_method_cards_seed.md
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# Seed the inference method evidence cards from the existing benchmark record

Type: docs
Target: autolens_profiling
Repos:
- @autolens_profiling
Difficulty: small
Autonomy: supervised
Priority: medium

The inference programme's knowledge structure
(`results/notes/inference/PROGRAMME.md` Β§6) calls for living method cards at
`results/notes/inference/methods/<method>.md`, from which the eventual
`autolens_workspace/scripts/guides/searches/` decision tree is generated.
None exist yet, but the evidence to seed them already does: the searches
benchmark artifacts (now surfaced by the fixed dashboard, #139), the
programme's state-of-play tables, the clipper-campaign notes, and the
point-source defaults campaign.

Task: seed four cards using the PROGRAMME Β§6 template (IDENTITY / EVIDENCE /
STRENGTHS & WEAKNESSES / CONFIGURATION / TERMINATION / HAZARDS / PERFORMANCE /
RECOMMENDED / REFERENCES), every claim citing a result JSON, notes file, or
PROGRAMME section β€” no new claims:

- `methods/nautilus.md` β€” the CPU reference engine; truth bars on
imaging cells; the cluster/point-source answer today.
- `methods/nss.md` β€” BlackJAX nested slice sampling; fork-era benchmarks,
the +7-13 nat logZ bias hypothesis, mainline 1.6 status; Gate A pending.
- `methods/multi_start_prodigy.md` β€” basin-hit story (seed 0/1 split),
clipper/step-scaling arc, auto-convergence limits; Phase 3 pending.
- `methods/multi_start_adam.md` β€” p_hit β‰ˆ 0.18/start, 128-start A100
timing, the GIGA-Lens comparison.

Also tick Phase 0(e) as complete (PR#139) in PROGRAMME.md's phase-state
table (recorded follow-up from the searches-readme-dashboard completion).

Confidence tags per the programme: anecdote / seeded / gated. Documentation
only β€” no runs, no scripts, no source changes; ruff untouched; do not edit
inside auto-table sentinels.
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