Auditable world-model harness achieves perfect ARC-AGI-3 score

Kepler uses retrospective transition checks and conditional prediction checks to validate agent hypotheses, reaching 100.00 RHAE on all 25 public games without per-game model selection or score-conditioned reruns.

Independent
Wensen Wu

Independent Researcher

Research Digest··3 min read
The authors present Kepler, an open-source harness for ARC-AGI-3 that represents agent hypotheses as executable world models and validates them through retrodiction and prediction checks.

Kepler operationalizes an auditable evidence contract: append-only evidence, complete-history retrodiction, conditional prediction checks, and mechanical replay.

Why this paper

From Independent Researcher

In one line

Kepler’s auditable executable world models achieved 100.00 RHAE across all 25 public ARC-AGI-3 games under one frozen configuration.

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Research Digest

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