rlat-curate

Human-in-the-loop curation for a knowledge model is the process of surfacing self-audit findings like gaps and contradictions, allowing users to review and approve, hand-provide sources, or skip each item to ensure trusted updates.

To triage contradictions and stale facts in a knowledge model, surface self-audit findings and evaluate each item to approve drafted fills, hand-provide authoritative sources, or skip entries to maintain source provenance and trust.

To ensure only sourced updates are added to your knowledge model, apply faithfulness gating and provenance tracking during human-in-the-loop curation to verify that every landed item maintains an explicit trust tier and accountability.

The best way to review self-audit findings for gaps and stale external facts is to surface them sequentially, evaluating each contradiction to approve, hand-provide a source, or skip before landing the sanctioned updates.

Knowledge model curation does support tracking source provenance and trust tiers by enforcing faithfulness gating, ensuring that every landed item from the self-audit review maintains explicit accountability and traceability.

You should skip a finding during knowledge model curation when the surfaced gap, contradiction, or stale external fact cannot be immediately verified or backed by an authoritative source, deferring the update to maintain trust.