PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning
How unlearning effects propagate from the forget set to same-domain and distant-domain knowledge not after but before unlearning is measured to find a consistent decay pattern: collateral damage is strongest near the forget set, weakens with semantic distance, but does not disappear at domain boundaries.