AIBearisharXiv – CS AI · 3h ago7/10
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Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs
Researchers have identified systematic citation failures in search-augmented LLMs, where models cite real sources yet distort their meaning or select inappropriate sources. The CITETRACE dataset reveals that 30.6% of citations distort sources and up to 96% of users encounter misleading citations, with provider-level factors accounting for 88-96% of citation quality variance.