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New Study Quantifies Bounds on Watermarked Text Prevalence Estimates in Corpora

A new arXiv paper examines how watermark detectors can be extended beyond single-document classification to bound the share of a corpus generated by a watermarked language model, introducing power envelopes and calibration sensitivity analysis.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-11-13 05:00 · arXiv stat.ML
    Prevalence Bounds for Edited Watermarked Text: Power Envelopes and Calibration Sensitivity

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