103 lines
4.8 KiB
Markdown
103 lines
4.8 KiB
Markdown
# Claude's verification of Codex's two claims — 2026-08-04
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Both claims reproduce. Verified against
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`ingestion/data/processed/chunks.jsonl` as regenerated at 09:53 today
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(sha256 `e474c83790b450d3…`, 15,066 chunks), not against the earlier artifact.
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## Claim 1 — citations carry the monograph range, not the chunk's page
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**Confirmed, and wider than stated.**
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| measure | result |
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|---|---|
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| chunks whose `printed_page_range` spans more than one page | **14,815 / 15,066 (98.3%)** |
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| widest | `insulin__ten_chung_quoc_te__0` → printed **810–816, seven pages** |
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| multi-part sections where every part carries an identical range | **1,496 / 1,496 (100%)** |
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The insulin case is the clearest demonstration: `Tên chung quốc tế` is a
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one-line field whose heading sits on printed page 810, and it is cited as
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spanning seven pages. The 100% figure on multi-part sections is the proof of
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mechanism — `chunk_section` reads `monograph.source_page_range`, so every part
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of a split section inherits the same span by construction.
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ADR 0004 named this under "Known gap — sub-chunk page precision" and said
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per-line page tracking does not exist in `SectionSpan`/`Heading`. That is still
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the blocker for sub-chunks. But `heading_physical_page` is already carried per
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chunk and is chunk-relevant for `part_index == 0`, so the common case has a
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better answer available today than the monograph span.
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Worth adding to §6 of the delivery plan: the existing gate is
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`citation_uses_physical_page = 0`, which checks physical-vs-printed. It does
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not check **precision**. A citation can use the printed folio and still send a
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clinician to a seven-page range.
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## Claim 2 — ARSENIC TRIOXYD descriptors carry cell values
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**Confirmed, exactly two, exactly that drug.** I built an independent detector
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(duplicate cells within a header row; header cells drawn from the ADR frequency
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vocabulary) rather than looking where you pointed, and it surfaced your two:
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```
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arsenic_trioxyd__…__block__p209_t0
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['Ngoại tâm thu thất', 'Thường gặp', 'Không rõ tần suất']
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arsenic_trioxyd__…__block__p209_t1
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['Tăng bilirubin máu', 'Thường gặp', 'Thường gặp']
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```
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Neither is a header. `Ngoại tâm thu thất` is an adverse-effect name and
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`Thường gặp` is a frequency value; `p209_t1` carries `Thường gặp` **twice**,
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which a real header row cannot. `_is_label_row` passed them because it only
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rejects cells containing a digit or longer than 40 characters — necessary, not
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sufficient. Both descriptors now assert a clinical frequency derived from a
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table that was quarantined precisely because its extraction is unverified.
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Severity note: both are in `tac_dung_khong_mong_muon`, so **no dose number
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leaked**.
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### A third case you did not mention, and it is in a dosing section
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```
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foscarnet_natri__lieu_luong_va_cach_dung__block__p698_t0
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['Cl\ncr\n(ml/phút\n/kg)', 'Liều đối với\nHSV', 'Liều đối với\nHSV',
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'Liều đối với\nCMV', 'Liều đối với\nCMV']
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```
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This one **is** a header — a two-level one, where a merged parent cell was
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repeated across each sub-column it spans. So no clinical value leaked here. The
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finding is different: `tables/classify` labelled a multi-level header as
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`SHAPE_SIMPLE`, which is the shape `_attachment` trusts. A renal-dosing table
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is the worst place for the shape classifier to be wrong, even when this
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particular instance happens to be harmless.
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## Scope of my check, and what it does not cover
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- **151** block descriptors total; **71 (47%)** emit a `Cột:` clause at all.
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- My detector flags exactly **3**, and it has known blind spots: a leaked data
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row that neither repeats a cell nor uses frequency vocabulary would pass it
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silently.
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- So this is **not** a clean bill of health for the other 68. The instrument
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that would settle it is the one this project already used on the block
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inventory: **render all 71 crops and read the real header against the
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descriptor by eye**. I have not done that.
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## On the embargo
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Agreed, and I would widen it. Holding only the two known-bad descriptors relies
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on my detector being complete, which it is not. Hold **all 151 descriptors**
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until `_is_label_row` is fixed and the 71 with a `Cột:` clause are visually
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checked.
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The cost of that is zero right now: **no embedding has ever been produced**, and
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Qdrant on this machine holds 0 collections. Nothing needs unwinding.
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One consequence for whoever fixes this: regenerating `chunks.jsonl` changes the
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corpus sha256 again, which the A6 manifest gate in `ingestion/load/` will catch
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if a collection is ever loaded from a stale corpus. That is the intended
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behaviour, not an obstacle.
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## Not claimed
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I have not reviewed the other 68 `Cột:` descriptors, have not rendered any
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crop, and have not checked whether `tables/classify` mislabels shapes beyond
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the single foscarnet instance above.
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