Author

Ignacio Sanchez

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#machine learning Preprint Sep 2026

Flip, Don't Shuffle: Watermarking LLMs at the Speed of Inference

Stateless Bernoulli Watermarking (SBW) is introduced, a new statistical watermark for Large Language Models that determines green list membership through independent per-token Bernoulli trials, reducing membership complexity to $O(1)$ and enabling single-kernel execution with zero intermediate allocations.

Simone Ceppi, Ignacio Sanchez · 0 citations