1. compute_use_cases output uses status/gates/reasons (not recommended/gate_results)
2. write_feedback validates every mark has result_hash and fulltext_hash
3. load_readiness_policy(policy=...) bypasses user override (reproducible)
4. confidence_and_fallbacks yellow for degraded=True or weak span coverage
Minor: append_mark doesn't mutate caller dict; has_figure_evidence includes
unmatched_legend_count and held_count.
Workstream X: 11 papers audited across 6 layout classes,
5 verified via vision subagents. 6 real bug patterns identified
with code locations and root cause analysis.
Bug patterns:
A - _is_obviously_formal_figure_caption heuristic too aggressive
(ocr_roles.py:193)
B - Cross-column figure asset mis-assignment ignores boundaries
(ocr_figures.py:704)
C - Render frontmatter skip silently drops authors/affiliations
(ocr_render.py)
D - Two-column same-page boundary body→backmatter zone pollution
(ocr_document.py)
E - Frontmatter headings misclassified (ocr_roles.py)
F - Supplementary-only PDFs not handled
Full report: docs/superpowers/analysis/2026-07-05-layout-truth-audit-findings.md
Also: codebase-memory-mcp 0.8.1 installed and repo indexed.
The V3 pipeline has been tested against the full 555-paper vault vs legacy:
No diff: 547 (98.6%)
Diff: 5 (0.9%) — all in v3's favor: 3 papers find 1 more figure
(v3 softens role before matching), 2 papers shift
1 block boundary (body_paragraph vs frontmatter_noise)
Error: 3 (0.5%) — 2 missing raw data, 1 pre-existing v3 pipeline edge case
The 5 diffs are marginal improvements, not regressions. V3's shadow-normalize
approach defers role commit until after figure/table matching, so captions
that legacy normalize prematurely hardened to 'body_paragraph' are correctly
found as figure captions.
Changes:
- _ocr_pipeline_v3_enabled() defaults to True now; set OCR_PIPELINE_V3=0 to
revert to legacy normalize-then-match order
- Test updated to assert default=True
- Full vault corpus diff script + result report archived
