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News/Calibrated Selective Fact-Checking via Evidence Chain Evaluation
arxiv
PublishedJuly 22, 2026 at 4:00 AM
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Calibrated Selective Fact-Checking via Evidence Chain Evaluation

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arXiv:2607.18240v1 Announce Type: new Abstract: Large language models (LLMs) can achieve strong fact-checking accuracy, yet forced binary decisions conceal a critical reliability problem: systems may issue confident verdicts even when supporting evidence is weak, sparse, or internally inconsistent.

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