Paper Proposes Auditable Method for Verifying Deletion of Stored Facts in AI Models
The paper installs a support-vector gate inside a frozen Gemma 3 model and records which stored keys and values correspond to each exchange, allowing a deletion request to be traced to specific memory entries. It argues that an assistant can stop repeating a fact without actually removing it, so the work separates genuine deletion from mere output suppression. The authors present this as a step toward deletion requests that can be audited rather than taken on trust.