OriginBlame introduces record- and token-level data provenance for AI training datasets
Read the original at arxiv.org→arXiv:2607.13037v1 Announce Type: new Abstract: When a data contributor requests removal, model trainers face a practical gap: unlearning algorithms require a forget set, yet no tool can locate which training...
Original headline: "OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets"