Incident

Incidents · ICLR 2026

ICLR 2026 desk-rejected papers with confirmed hallucinated references

The conference that publishes a large share of machine-learning papers described hallucinated references as common enough to change the desk-reject process. The primary account is the program chairs’ own retrospective, not a vendor’s tally.

Paste references and check themReferences

Submitting opens RefCheck and starts a check. 3 free reference checks without an account, plus 5 more free after you sign in. The text is placed in the web address; paste into the full checker if you would rather not do that. One reference per line. For a long list, use the full checker so the text is not put in the address.

What the program chairs wrote

On 31 March 2026 the ICLR program chairs published a retrospective. ICLR 2026 received 19,525 valid, format-compliant submissions. 779 were desk-rejected for procedural or content violations. In the section on hallucinated references they wrote that many submissions included one or more references to documents that did not exist, or that had seriously wrong bibliographic details.

They described an automated system that extracted references and checked them against bibliographic databases and web search. They also wrote that the system had a significant false-positive rate, for example when authors had translated a non-English title. Area chairs reviewed the flags, then the program chairs checked them. Each paper with flagged references was reviewed by at least three people. Papers with confirmed hallucinated references were desk-rejected, with an appeal channel. The chairs wrote that this process partly explains a higher desk-reject rate than in past years. They did not publish a count of how many papers that was.

The earlier policy, and a vendor’s count

On 19 November 2025 the same conference said that extensive or careless use of language models often produces hallucinated references, that such hallucinations would be treated as a code-of-ethics violation, and that papers with those problems were being desk-rejected. Detection tools were described as a way to triage, with action only after an area chair or senior area chair found concrete evidence.

Separately, GPTZero reported that it scanned 300 submissions, that its tool flagged 90, and that after human review it counted 50 with at least one hallucinated citation. That number is GPTZero’s, from a sample, not a figure in the ICLR retrospective. Do not add it to the 779 desk rejects. The chairs’ 779 covers procedural and content violations as a whole, not hallucinated references alone.

What this means for a checker

The system the chairs described is the same shape as RefCheck: extract a reference, look it up in bibliographic databases, and do not treat a database miss as final when the title may have been translated or the record is thin. RefCheck’s “unconfirmed” verdict exists for that reason. “Likely fabricated” is for a formatted citation that the queried databases do not support.

RefCheck was not the system ICLR described, and this page does not claim it would reproduce their decisions. False positives are the point of their human review. If you are submitting, the practical page is check references before you submit.

Typical cases

A translated title

The chairs used this as a false-positive example. A real paper with a title translated into English can look missing. That should stay unconfirmed until a person looks, which is what they required.

One invented reference in an otherwise careful paper

Their standard was confirmation by people, then desk rejection, plus an appeal. A single bad line was enough for them to act once it was confirmed. This page is describing their policy, not recommending a sanction.

A vendor blog with a round number

Use GPTZero’s 50 only as GPTZero’s report about 300 papers. The official account is “many,” followed by human review, and no published total.

Sources

  1. ICLR blog, 31 March 2026 — Program chairs’ account of hallucinated references, human review, and desk rejection.
  2. ICLR blog, 19 November 2025 — Earlier statement that hallucinated references are treated as a code-of-ethics violation.
  3. GPTZero — GPTZero’s own report that it scanned 300 submissions and, after human review, counted 50 with a hallucinated citation. This is not an ICLR total.

This page only states what these sources say. It does not say RefCheck was used on the document, and a later correction is not summarized here unless one of these sources describes it.

How it works

Three steps for this kind of reference

01Paste

One reference per line, or a numbered list. Keep the authors, title, year, and the DOI or arXiv id if you have them.

02Cross-check

References are extracted and checked against bibliographic databases. A miss is not final when the title may be translated or the record is thin.

03Read the verdict

Real, real with errors, likely fabricated, or unconfirmed. A corrected citation is shown when the record disagrees, and a retraction is flagged when one is on record.

Related pages

Frequently asked questions

How many ICLR 2026 papers had hallucinated references?

The program chairs did not publish a number. They said many submissions contained references to documents that do not exist or that were seriously wrong, and that confirmed cases were desk-rejected. GPTZero’s figure of 50 is GPTZero’s count from 300 papers, not ICLR’s.

Were all 779 desk rejects about fake citations?

No. The chairs said 779 submissions were desk-rejected for procedural or content violations. Hallucinated references are one reason they gave for the rate being higher than in past years. They did not say every one of the 779 was a hallucinated reference.

Did an automated checker decide by itself?

No. The chairs wrote that the automated check had a significant false-positive rate, that area chairs and then program chairs reviewed flags, and that each flagged paper was seen by at least three people. There was an appeal channel.

Is RefCheck the tool ICLR used?

No. The retrospective does not name RefCheck. The similarity is the method: compare references with bibliographic databases, then have a person decide.

What does a check cost?

3 free reference checks without an account, plus 5 more free after you sign in. Then each reference costs 1 AILatest credit. Failed lookups are refunded. Credits last 1 year and the expiry extends on every top-up. Packs are $1.99 for 200, $4.99 for 600, and $9.99 for 1,500. There is no subscription.

Cite only what's real.

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