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The AI checked a paper's references and found two were made up

A peer reviewer put a manuscript's reference list into AI and asked it to find a web link for each one. Two references were fictitious and 13 more looked suspect, so the reviewer rejected the paper.

How it works

  1. Finds a fake reference in the introduction
  2. Pastes all the references into AI and asks it to find web links
  3. Checks one of the references the AI could not find
  4. Counts two fictitious and 13 suspect references
  5. Decides to reject the manuscript

Why it’s worth knowing

Two of the paper's references did not exist at all, and the AI surfaced them before the reviewer had finished page two.

Where it’s from

Summarized from a public post on bsky.app. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
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