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The paper introduces forget-set misalignment in LLM unlearning and proposes a data-blind framework called CONFS to address it, achieving a competitive forgetting-utility balance.
OriginBlame is a record- and token-level data provenance system that propagates author identity through AI training data pipelines, enabling precise forget sets for machine unlearning. It eliminates over-deletion from dataset-level systems and improves unlearning effectiveness.