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arXiv — cs.AI preprintsInternational9 October 2026

An Investigation of Model Coherence: Narrow Finetunes Contradict Themselves Under Resampling

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arXiv:2610.12129v1 Announce Type: new Abstract: A large body of research measures model coherence based on output variance without adequately considering competing causes. We identify two such causes, ambiguity and indifference, and we introduce a set of 175 questions where contradicting answers cannot easily be explained by either. We then measure incoherence in terms of contradictions when resampling answers to the same question. In contrast to other methods our metric has high specificity, and only ranks models as incoherent when the issues are glaring. Even so, we find narrow finetunes sco
— arXiv — cs.AI preprints

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