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Researchers who use hallucinated references to face arXiv ban
The physical-sciences repository arXiv is banning researchers from posting their manuscripts on the platform for one year if a submission is found to contain references that have been hallucinated by artificial-intelligence tools. The ban also applies to authors who submit manuscripts containing
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Research repository ArXiv will ban authors for a year if they let AI do all the work | TechCrunch
ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers. Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced "archive") has become one of the main ways that
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ArXiv will ban researchers who upload papers full of AI slop
Last year, ArXiv also updated its policies to reduce AI slop by only allowing computer science review articles and position papers to be published if they have been peer reviewed and have been accepted at a conference or a journal. "The advent of large language models have made this type of content
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Major Scientific Repository arXiv Cracks Down on AI-Generated Papers
If the platform finds 'incontrovertible evidence' that a submission's large language model (LLM) used wasn't checked, they could face a one-year ban, as well as long-term scrutiny of what they submit. ArXiv.org, one of the world's most popular repositories of free scientific research, has cracked
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A key science publishing platform is cracking down on AI slop
The pre-print website arXiv has announced that researchers who put their names to papers which included errors clearly generated by artificial intelligence (AI) will face a year-long ban and ongoing restrictions. The move is a response to a growing influx of AI-generated papers faced by scholarly
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ArXiv will ban researchers for a year if they submit papers with AI slop
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Science Slop: Large language models and chatbots are growing in popularity for both recreational use and, in some cases, serious research projects. However, one of the internet's most popular
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ArXiv introduces one-year ban for researchers who submit papers with unchecked AI-generated content
ArXiv, the open-access repository that has served as the primary distribution channel for preprint research in computer science, mathematics, and physics for more than three decades, will ban authors for one year if they submit papers containing obvious signs of unchecked AI generation. Thomas
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ArXiv to Ban Researchers for a Year if They Submit AI Slop
The change comes as arXiv and others struggle to manage an influx of AI-generated materials masquerading as rigorous science. ArXiv, the open-access repository of preprint academic research, will ban authors of papers for a year if they submit obviously AI-generated work. Late Thursday evening,
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A popular academic journal is coming down hard on AI-generated submissions
We're still in the early stages of the AI revolution, but there's already plenty of evidence that it won't be purely a blessing. Generative AI has made writing exponentially faster, if not necessarily better, and the result has been a massive increase in submissions of novels, newspaper pieces, and
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ArXiv Warns Researchers Against Submitting Papers With Unchecked AI Content
ArXiv has moved to tighten its rules on careless use of large language models in research papers. The open-access preprint platform said authors must check all content before submitting work, even when they during writing or research. The policy does not block researchers from using large language
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The preprint server arXiv is issuing one-year bans to researchers who submit manuscripts containing hallucinated references and other clear signs of unchecked generative AI use. After the ban, authors must have their work accepted at peer-reviewed venues before posting to arXiv again. The move addresses a flood of AI slop overwhelming the platform, particularly in computer science.
The physical-sciences repository arXiv has introduced a stringent crackdown on AI-generated content, announcing that researchers who submit manuscripts containing hallucinated references or other signs of unchecked generative AI use will face a one-year ban from the platform
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. The new policy targets what the scientific community calls AI slop—low-quality or meaningless content produced using large language models without proper verification. Thomas Dietterich, a computer scientist at Oregon State University and chair of arXiv's computer science section, explained that after the one-year ban expires, penalized authors will only be permitted to post manuscripts that have already been accepted at a reputable peer-reviewed venue1
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Source: Analytics Insight
The research repository considers several types of evidence as grounds for penalties. Hallucinated references—citations to papers that don't exist—represent the most common infraction
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. Meta-comments from large language models also qualify as incontrovertible evidence of misuse of large language models. These include phrases like "Here is a 200-word summary; would you like me to make any changes?" left in submitted manuscripts1
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. Dietterich emphasized that when submissions contain such evidence, "we can't trust anything in the paper" because it demonstrates authors haven't verified AI outputs2
. The policy operates as a "one-strike" rule, though moderators must flag issues and section chairs must confirm evidence before imposing penalties, with authors retaining the right to appeal2
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Source: Nature
AI slop is most prevalent in arXiv's computer science section, which handles roughly half of all papers submitted to the preprint server
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. Dietterich noted that computer science researchers are "the early adopters of LLM technology, and the earlier abusers of it"1
. The scale of the problem extends beyond arXiv. At the 2026 International Conference on Learning Representations (ICLR), 21% of peer reviews were allegedly fully AI-generated, while more than half showed signs of AI use4
. Among submitted manuscripts, 199 papers, or 1%, were fully AI-generated, while 9% contained more than 50% AI-generated text4
. A recent study suggests that around 1 in 8 papers in biomedical science now contain AI-generated text5
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Source: The Verge
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The crackdown on AI-generated content reflects growing concerns about research integrity across scholarly platforms. ArXiv's code of conduct stipulates that authors take full responsibility for all content in their papers, regardless of how it was generated
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. This means researchers remain accountable for "inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content" copied from large language models2
. Other preprint servers face similar challenges. The Center for Open Science closed its OSF Preprints platform in October, citing a deluge of low-quality submissions dominated by AI slop1
. Psychology preprint server PsyArXiv issues permanent bans for authors who fail to disclose substantial use of generative AI1
.The policy has sparked debate among researchers and AI experts. Many welcomed the move, with Meta researcher Lucas Beyer calling it "very good" and advocating for strong enforcement
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. Valeri Kremnev, co-founder of AI startup sci2sci in Berlin, posted support on social media, asking why the platform doesn't "fight the slop in general"1
. However, critics question whether the approach addresses root causes. Natalie Khalil, founder of AI-powered peer review platform Reviewer 3, argues that arXiv is "treating the symptom, not the root cause," noting that banned researchers "will still do research, just elsewhere"1
. Some observers point out that in collaborative research with dozens or hundreds of authors, banning everyone for one person's AI-generated errors seems disproportionate5
. There's also debate about whether AI itself could help solve the problem, with suggestions that automated systems could check references and flag suspect citations for human review5
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