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News/Prevalence Determines Precision:Silent Contamination in Detector-Defined Datasets
arxiv
PublishedSeptember 12, 2026 at 4:00 AM
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Prevalence Determines Precision:Silent Contamination in Detector-Defined Datasets

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arXiv:2609.11449v1 Announce Type: cross Abstract: Many ML datasets are constructed by running a detector, heuristic, or model over candidate pools; accepted items become labels. Dataset precision is then governed by true-positive prevalence in each pool via Bayes, not solely by detector quality. Usi

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