ArXiv will ban researchers who upload papers full of AI slop

ArXiv is implementing stricter enforcement against AI-generated research papers, imposing one-year bans on authors who submit papers with clear evidence of unreviewed LLM output (such as hallucinated citations or AI meta-comments), with subsequent submissions requiring peer-review acceptance. This policy escalation reflects a critical challenge to research integrity and signals that IT leaders must establish governance frameworks around AI tool usage in knowledge work, as unchecked generative AI risks compromising the quality and trustworthiness of organizational outputs across all domains. The enforcement mechanism demonstrates how institutions are drawing hard lines on AI accountability, creating implications for corporate research, documentation, and compliance practices.

Jay PetersThe VergeMay 15, 20262 min read

ArXiv, a popular platform for preprint academic research, is taking a new step to attempt to reduce the volume of papers that include AI slop. If a paper has "incontrovertible evidence that the authors did not check the results of LLM generation," such as hallucinated references or "meta-comments" left by an LLM, authors will be banned from ArXiv for a year, according to Thomas Dietterich, ArXiv's section chair of its computer science section. Future ArXiv submissions will also have to be accepted at "a reputable peer-reviewed venue." Here's what he said on X: Attention @arxiv authors: Our Code of Conduct states that by signing your name … Read the full story at The Verge.