arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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When Auditors Fabricate: Batch-Size Degradation and Confident Hallucination in LLM Detection of Planted Document Contamination
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arXiv:2609.09696v1 Announce Type: cross Abstract: Large language models are increasingly proposed as automated auditors of document quality, yet their reliability as detectors of planted errors is poorly characterised. We construct a contaminated corpus of 150 academic papers spanning supply chain m
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