ReasonMark is a novel watermarking framework for Reasoning Large Language Models (RLLMs) that decouples generation into Thinking and Answering phases. It uses a Principal Semantic Vector (PSV) to adaptively modulate watermark strength, ensuring robustness without compromising logical coherence or incurring high computational costs.
ReasonMark is a new method for adding invisible digital watermarks to text generated by advanced AI models that perform complex reasoning. It works by separating the AI's thinking process from its final answer, and then subtly embedding a watermark based on the most important parts of the AI's thought process. This ensures the watermark doesn't mess up the AI's logic, while still proving the text came from that specific AI.
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