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Compact but Moving: Intervention-Relevant Geometry in Recurrent World Models
Learned world models may have compact interventions even when their recurrent state is high-dimensional, but it is unclear what happens to such a correction after it enters the model. We study this question in a controlled recurrent world model where prior work identified a checkpoint-specific rank-4 interface for one-shot counterfactual velocity interventions. The correction rapidly leaves this fixed entry subspace during autonomous rollout. Nevertheless, a low-rank image obtained by transporting the entry directions through the factual recurrent Jacobian chain continues to capture most of th
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T14:03:05.000Z
First collected: 2026-09-23T13:51:27.104Z. This is not the publication date.