Provenance and the Right to Be Untrained
As deletion and copyright claims press on trained models, demand grows for record-level data provenance and unlearning tooling that makes training corpora auditable and removable.
forming · confidence 40 · Emerging (watchlist) · tracking since July 17, 2026 · updated July 17, 2026
Why the conviction moved
- Jul 17Strengthened +4
OriginBlame provides record- and token-level attribution of training data explicitly to build the 'forget set' that machine-unlearning methods require, advancing the auditable-and-removable-corpus tooling the thesis tracks.
Source trail
Supporting · July 17, 2026
New Provenance Tool Traces Which Training Records Belong to a Given Author
OriginBlame provides record- and token-level attribution of training data explicitly to build the 'forget set' that machine-unlearning methods require, advancing the auditable-and-removable-corpus tooling the thesis tracks.
arXiv cs.AI
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