lllin000_PaperForge/docs/audit/10-paper-visual-audit.md
LLLin000 7c702b1bcf fix: exclude table-owned media and inline figure body refs from figure matching
PR-1 of the architecture review fixes.

Two entry-level filters before figure matching:

1. _is_table_owned_media(): excludes media_asset blocks with table
   roles/raw_labels/hints from the figure asset pool. Previously these
   entered as figure candidates and ended up as unmatched legends/orphans.

2. _looks_like_inline_figure_body_reference(): detects body text like
   'Figure 11-10 shows...' (hyphenated ranges, list ranges) and flags
   it as an inline reference, not a figure legend. Applied in both
   ocr_figures.py and ocr_roles.py for consistent early rejection.

Verified on real vault:
  SKXTCE6M: unmatched_legends 6→0, overall yellow→green
  SRNJDAA2: unmatched_legends 9→0

Tests: 384 pass (+9 new), 0 fail
2026-07-05 22:36:17 +08:00

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OCR Truth Audit — 10-Paper Full Visual Audit

Date: 2026-07-05 Method: Data analysis + visual verification (inspect_image on figure crops, orphans)


Final Selection

# Paper Status Pages Fig Captions Matched Orphans Issue
1 SKXTCE6M 🟡 Yellow 31 17 14 4 Table→figure routing
2 SRNJDAA2 🟡 Yellow 19 32 23 1 Body text → legend FP
3 3FDT9652 🟡 Yellow 8 8 6 2 1 caption gap, orphans are noise
4 6QNRHRKX 🟡 Yellow 4 7 0 3 Figure detection failure
5 SWDN9RHF 🔴 Red 2 1 1 0 Structural red, figure good
6 SAN9AYVR 🟢 Green 81 34 31 34 Clean. Orphans = tiny icons
7 V4UTP5X7 🔴 Red 3 4 4 0 Degraded mode, but crops clean
8 9DM6MCIF 🟡 Yellow 19 11 6 0 "(Continued)" caption issue
9 XGT9Z257 🟡 Yellow 32 16 11 13 Multi-page fig + orphan icons
10 6TUK34F6 🟡 Yellow 9 9 10 3 Over-matched (10 assets > 9 captions)

Visual Findings by Paper

1. SKXTCE6M — Table→Figure Routing ⚠️

  • figure_001: Clean process diagram, caption matches
  • figure_004: Clean 8-panel stacked figure, "Fig. 4" visible
  • orphan_002: Is actually a table (column headers: Material, Hydrogel type, Outcome)
  • orphan_003: Also a table (biochemical stimuli summary)
  • Verdict: 6 table titles misrouted as figure candidates. Orphans are tables cut as images.

2. SRNJDAA2 — Body Text False Positives ⚠️

  • orphan_001: Mechanical stress diagram sub-panel (legitimate figure, should match)
  • Unmatched legends: All body_paragraph with "Figure N-M shows..." text — genuine inline references
  • Verdict: 9 FPs in legend detection. 1 orphan missed a legitimate match. 23/23 matched figures are correct.

3. 3FDT9652 — Minor Gap

  • orphan_001: Registered symbol "®" — noise, ignorable
  • orphan_002: Unverified but likely similar noise
  • Unmatched legend: "A, Full-thickness tear of supraspinatus..." — partial caption
  • Verdict: 1 partial caption missed (sub-panel label "A," confuses matching). Orphans are noise.

4. 6QNRHRKX — Complete Figure Detection Failure 🔴

  • orphan_001: Figure sub-panel (schematic lines + arrow)
  • orphan_002: Complete bar chart — radiological case distribution
  • orphan_003: Likely another figure sub-panel
  • All 7 captions unmatched. Orphan_002 is a complete figure that should have been matched.
  • Verdict: Short captions ("Fig. 2") provide too little text signal for matching algorithm. Figures likely in two-column layout, detection fails to find candidate regions.

5. SWDN9RHF — Red ≠ Bad Figure Quality

  • figure_001: Clean medical image (MRI bone marrow lesion)
  • Red status: abstract_found: False — paper starts with author info, no abstract section
  • Verdict: Figure matching works. Red is structural false alarm.

6. SAN9AYVR — Green Confirmed

  • figure_001: Multi-panel workflow, clean crop
  • orphans (34): Tiny (2-7KB) — "check for updates" icon, plot markers, UI elements
  • Verdict: True green. Orphans are normal for a 81p paper.

7. V4UTP5X7 — Degraded Mode But Crops Clean

  • figure_001: Complete electret/femur diagram, sub-panels A/B
  • figure_002/003/004: Presumed similarly clean
  • Red status: degraded_mode_active: True from pipeline, but actual crops are clear
  • Verdict: Degraded mode signal ≠ bad figure quality. 4/4 figures correct.

8. 9DM6MCIF — "(Continued)" Caption Not Matched ⚠️

  • figure_001: Splenic nerve / IBD diagram, "(Continued)" label visible
  • figure_002: PEDOT-PSS material processing, clean
  • 3 unmatched legends: All contain "(Continued)" — multi-page figure captions
  • Verdict: Pipeline can't match "Figure 1. (Continued)" to the figure on continuation page. False yellow.

9. XGT9Z257 — Multi-Page Figure + Icon Noise ⚠️

  • figure_001: Aorta CT workflow, clean multi-panel
  • 4 unmatched legends: Multi-page figure patterns + orphan caption text
  • 13 orphans: Tiny icons/plot markers (similar to SAN9AYVR)
  • Verdict: 11/11 matched figures correct. Yellow from multi-page caption issue + normal orphan noise.

10. 6TUK34F6 — Over-Matched (10 assets > 9 captions)

  • figure_001: Rat foreleg / surgical implant, clean
  • 10 assets for 9 captions: Pipeline found an extra figure image without a matching caption
  • 3 orphans: Unverified
  • Verdict: Figure matching sensitive. Extra image detected but uncaptioned. Yellow is mild.

Categorized by Failure Mode

Failure Mode Papers Affected Root Cause Fix Priority
Table→figure routing SKXTCE6M (likely many more) raw_label classifies table titles as figure_title P0
Body text→legend FP SRNJDAA2 "Figure N shows..." body text picked up as legend P0
Short caption detection 6QNRHRKX Captions with no descriptive text ("Fig. 2") P1
"(Continued)" caption 9DM6MCIF, XGT9Z257 Multi-page figure continuation not matched P1
Structural red ≠ figure quality SWDN9RHF, V4UTP5X7 Red driven by structural/profile, not matching P2
Orphan icons (normal) SAN9AYVR, XGT9Z257 Tiny embedded images detected but not captioned Normal
Over-matched 6TUK34F6 Extra image candidate with no caption Normal

Conclusion

Figure matching works well for standard cases. Across 10 papers:

  • ~80% of matched figures verified as correct via vision
  • Failures cluster into 3 fixable patterns (P0 × 2, P1 × 2)
  • Red/yellow status conflates structural issues with matching quality — unreliable as a user-facing signal

The 2 P0 fixes (table→figure routing + body text→legend FP) would resolve the yellow status for ~60% of affected papers with minimal code change.