提出Stemma方法，利用诱导决策区域揭示大模型来源，提升黑盒测试的鲁棒性。
arXiv:2607.25880v1 Announce Type: cross Abstract: LLM provenance testing asks whether a suspect LLM belongs to the same lineage as a source. Existing …
用「稀有区域指纹」精准追踪大模型血统，一篇学术新方法直接看。
arXiv:2505.12682v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly released under restricted licenses, creating a growi…
提出多用户白盒水印方法LineageMark，专攻AI模型派生链中的贡献溯源难题，保障模型知识产权。
arXiv:2606.17123v1 Announce Type: cross Abstract: In open large language model (LLM) ecosystems, models are frequently adapted across multiple domains…
提出通过提示注入对LLM进行指纹识别，破解模型衍生关系判断难题，为AI安全溯源提供新思路。
arXiv:2509.25448v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are often modified after release through post-processing such a…