Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution.

arXiv:2609.38776v2 Announce Type: replace-cross Abstract: Training data attribution for diffusion models aims to identify the training samples that influence a generated instance, but existing methods either require costly per-sample gradient computation or qu