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arXiv — cs.AI preprintsInternational15 October 2026

Order-Consistent Latent Geometry for Reliable Short-Horizon Planning in World Models

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arXiv:2610.18570v1 Announce Type: new Abstract: Latent planners often rank candidate action sequences by terminal Euclidean distance to a goal latent. Exact agreement with transition distance would make this score ideal, but is stronger than planning requires: along a transition-shortest rollout, the essential requirement is that latent distance does not reverse true transition progress. We show that this pathwise no-reversal requirement is precisely the classical self-approaching condition. To the best of our knowledge, we are the first to identify self-approachingness as a planner-facing com
— arXiv — cs.AI preprints

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