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Sentient Foundation 发布了免费开源的 Fingerprinting Leaderboard 基准测试平台及配套工具 mlprints，用于评估 AI 模型指纹（所有权标记）的可读性、抗移除能力和对模型性能的影响，其自家的 Perinucleus 方法也参与排名。
This paper introduces a geometric fingerprinting framework to trace LLM lineage by analyzing spectral energy and subspace alignment in weight space, enabling discrimination between independent, same-series, and shared-base models without input data.