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Conflict LensExperimental

How do you surface contradictions in an agent's knowledge before they become actions?

Question → hypothesis/design → architecture → evaluation → results → limitations → next questions

Motivation

Contradictory memories rarely announce themselves. They surface as confident, wrong behaviour. Making disagreement visible and inspectable is a prerequisite for trusting a long-lived agent's recall.

Hypothesis

Making disagreement and provenance explicit can support more reviewable memory updates; precision and recall still need measurement.

Architecture

  • Contradiction detection over stored facts and their provenance
  • Explanations that show which sources disagree and when they diverged
  • Resolution proposals surfaced to a reviewer rather than applied silently

Evaluation methodology

Planned evaluation: precision and recall of contradiction detection on MemKit's contradiction workload. No scored result is reported here.

Results

Evaluation in progress

Limitations

  • Detection currently assumes facts are expressible as typed assertions

Current status

Prototype running against MemKit stores; used to generate the contradiction workload labels.

Roadmap

  • Scored detection benchmark
  • Reviewer workflow for bulk resolution

Next questions

  • Belief revision for agent memory
  • Cost of contradiction: linking stale recall to downstream action errors