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    "https://arxiv.org/abs/2503.19848",
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    "doi:10.3897/ese.2025.e153973"
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  "dcterms:title": [
    "Guarding against artificial intelligence--hallucinated citations: the case for full-text reference deposit"
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  "dcterms:creator": [
    "Alex Glynn"
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  "dcterms:description": [
    "The tendency of generative artificial intelligence (AI) systems to \"hallucinate\" false information is well-known; AI-generated citations to non-existent sources have made their way into the reference lists of peer-reviewed publications. Here, I propose a solution to this problem, taking inspiration from the Transparency and Openness Promotion (TOP) data sharing guidelines, the clash of generative AI with the American judiciary, and the precedent set by submissions of prior art to the United States Patent and Trademark Office. Journals should require authors to submit the full text of each cited source along with their manuscripts, thereby preventing authors from citing any material whose full text they cannot produce. This solution requires limited additional work on the part of authors or editors while effectively immunizing journals against hallucinated references."
  ],
  "dcterms:subject": [
    "cs.DL (arxiv)",
    "cs.AI (arxiv)"
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  "dcterms:language": [
    "en"
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  "dcterms:license": [
    {
      "@id": "http://creativecommons.org/licenses/by/4.0/"
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    "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive"
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  "dcterms:issued": [
    "2025-03-25"
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  "dcterms:bibliographicCitation": [
    "Glynn A. Guarding against artificial intelligence -- hallucinated citations: The case for full-text reference deposit. Eur Sci Ed. 2025;51:e153973"
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