AI RESEARCH
Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints
arXiv CS.CL
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ArXi:2604.08759v1 Announce Type: cross This paper considers the problem of multi-bit generative watermarking for large language models under a worst-case false-alarm constraint. Prior work established a lower bound on the achievable miss-detection probability in the finite-token regime and proposed a scheme claimed to achieve this bound. We show, however, that the proposed scheme is in fact suboptimal. We then develop two new encoding-decoding constructions that attain the previously established lower bound, thereby completely characterizing the optimal multi-bit watermarking performance.