rewrite

To update outdated beliefs across notes and memory stores, identify the old and new patterns to trigger a cross-store correction. The system generates an impact map tracing primary notes and proposes edits for user approval before applying changes and recording a supersession.

Traceability during knowledge retraction is ensured by recording a supersession after applying cross-store corrections. This annotation guarantees that future episodic searches surface the correction, maintaining provenance and auditability through transition notes.

Cross-store correction handles vault notes and auto-memory updates by tracing primary notes impacted by the belief change. It proposes edits, amends, or archives across these stores and presents an impact map for explicit user approval before executing any modifications.

Yes, you can review proposed memory corrections before execution. The workflow operates in phases, presenting an impact map of proposed edits, amends, or archives for your explicit approval to ensure alignment before any changes are applied to the stores.

You need to record a supersession for knowledge management immediately after applying a cross-store correction to a retracted or updated belief. This guarantees that future episodic searches surface the correction and maintain consistency across your memory and notes.

Episodic searches return old patterns after a vault edit because a supersession has not been recorded. Applying cross-store corrections and recording a supersession guarantees that future episodic searches surface the correction and maintain aligned beliefs.