Reviewers examining 22 machine learning conference submissions discovered that fifteen contained AI-generated content, fabricated citations, or hallucinated authors. Despite flagging two of these papers for having fake authors, both were surprisingly accepted as oral presentations. To help combat this issue, the team has released the reference auditing tool they developed to detect the fraudulent submissions.