Problem
Research questions and friction points this paper is trying to address.
Recurrent World Models
Intervention-Related Geometry
Compact Interventions
High-Dimensional Dynamics
State-Dependent Local Geometry
Compact but Moving: Intervention-Relevant Geometry in Recurrent World Models
🤖 AI Summary
研究通过在循环世界模型中使用低秩图像和切线预测校正方法，解决了高维循环状态下干预结构如何持续影响的问题。
📝 Abstract
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 the nonlinear correction. Restarts using the tangent-predicted correction preserve substantial counterfactual future function. This transport/function pattern recurs across independently trained structured-GRU models and a parameter-matched LSTM initialized with a privileged compact correction. We further characterize a finite-horizon future-response operator over the full recurrent carrier. Patching shifts its leading future-sensitive directions toward the matched native-counterfactual organization, and the local operator accurately ranks finite perturbation effects over the registered direction panels at the patched and native-counterfactual basepoints. A separate full-amplitude assay finds substantial factual-endpoint tangent residuals and supports response reconfiguration in two of three checkpoints. Together, these results show that compact intervention structure can persist as a moving, state-dependent local geometry embedded in high-dimensional recurrent dynamics, without implying a fixed or dynamically closed low-dimensional state.
Innovation
Methods, ideas, or system contributions that make the work stand out.
compact intervention
recurrent state
low-rank image
recurrent Jacobian chain
state-dependent local geometry
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