paperAugust 2026Unreviewed

WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking

Song Xiao, Yuqi Yuan, Yanshuo Zhang, Ke-Jun Zhang

Abstract

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,

Cite

@misc{xiao2026worldmark,
  title = {{WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking}},
  author = {Song Xiao and Yuqi Yuan and Yanshuo Zhang and Ke-Jun Zhang},
  year = {2026},
  month = aug,
  eprint = {2608.06416},
  archivePrefix = {arXiv},
  url = {https://www.semanticscholar.org/paper/f27392e958e852d0478471dec6f7c049b1a98cee}
}