AI RESEARCH
ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
arXiv CS.AI
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ArXi:2602.07235v2 Announce Type: replace-cross Watermarking is an important tool for promoting the responsible use of large language models (LLMs). Existing watermarks insert a signal into generated tokens that either flags LLM-generated text (zero-bit watermarking) or encodes complex messages (multi-bit watermarking). Though a number of recent approaches insert multiple bits into text without perturbing average next-token predictions, they largely extend design principles from the zero-bit setting, such as encoding a single bit per token.