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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
6 KiB
6 KiB
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_paragraphwith "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: Truefrom 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.