RSD: A Local Triangulation Audit Primitive for Learned Vector Blocks 事件

RSD: A Local Triangulation Audit Primitive for Learned Vector Blocks arXiv:2605.17482v2 Announce Type: replace Abstract: Local XAI audits compare a finite block of learned vectors with a weak side signal. Baselines such as nearest-neighbor lookup, low-rank coordinate models, and relation factorization expose different parts of this audit. We introduce Relational Semantic Decomposition, abbreviated as RSD, as a local triangulation audit for learned vector blocks. Given coordinates X and a declar