AI RESEARCH
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
arXiv CS.AI
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ArXi:2605.25796v1 Announce Type: cross Semantic-level watermarking (SWM) improves robustness against text modifications by treating sentences as the basic unit. However, robustness to paragraph-level paraphrasing remains difficult because such attacks globally disrupt watermark signals by changing sentence order. In this work, we propose SAMark, a self-anchored watermarking framework that removes the dependency on sentence order by establishing a step-independent green region in semantic space. To improve detectability, we