arXiv:2610.02817v1 Announce Type: new Abstract: Large Language Model (LLM) watermarking provides a lightweight mechanism for identifying text generated by a specific model, but its robustness remains fragile under post-processing attacks. Deletion attacks are particularly challenging because they shift token positions and break the alignment between observed tokens and their original watermark positions.
RMCW: A Deletion-Robust Watermark Based on Reed--Muller Codes for Language Models
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