WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking
Watermarking traces the provenance of text produced by large language models by embedding statistically detectable signals during decoding. Existing schemes fall into logits-based, sampling-based, entropy-aware, and adaptive-strength families, yet all of them place watermark signals according to local token statistics. In the open-ended text-generation settings evaluated in this work, local statistics may provide insufficient guidance for placing robust watermark signals. We introduce WorldMark, a plug-and-play interface that uses World Knowledge Memory (WKM) to organize semantic and episodic knowledge in a memory graph, converts the retrieved knowledge into a token-level knowledge salien...
| Authors | Song Xiao, Yuqi Yuan, Yanshuo Zhang et al. |
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| Primary category | cs.CR |
| Published | 5 August 2026 |
| Last updated at source | 5 August 2026 |
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