Compact but Moving: Intervention-Relevant Geometry in Recurrent World Models

arXiv:2609.21787 · cs.RO · Submitted 2026-09-18 · Read on arXiv

cs.RO

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/lysea8282/future-response-dynamics

Terminology

Alignment — 26× in this paper · explained in 1 episode
World Model — 19× in this paper · explained in 7 episodes
Aggregation — 9× in this paper · explained in 1 episode
Decode — 5× in this paper · explained in 2 episodes
Steering — 4× in this paper · explained in 2 episodes
Abstraction — 3× in this paper · explained in 1 episode
Calibration — 3× in this paper · explained in 7 episodes
Accuracy — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Provenance — 2× in this paper · explained in 4 episodes
Activation Addition — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Latent Dynamics — 1× in this paper · explained in 2 episodes
Latent Representation — 1× in this paper · explained in 2 episodes
Latent Representations — 1× in this paper · explained in 3 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Representation Learning — 1× in this paper · explained in 2 episodes

Sources

Low-Rank Dynamics-Effective Latent Carriers for Counterfactual Rollout in Learned World Models

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