AI RESEARCH
GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models
arXiv CS.AI
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ArXi:2602.06718v2 Announce Type: replace-cross Citations provide the basis for trusting scientific claims; when they are invalid or fabricated, this trust collapses. With the advent of Large Language Models (LLMs), this risk has intensified: LLMs are increasingly used for academic writing, but their tendency to fabricate citations (``ghost citations'') poses a systemic threat to citation validity.