World models succeed when their latent states are built to meet task-specific sufficiency constraints rather than preserving the maximum amount of information.
Dyn-o: Building structured world models with object-centric representations
2 Pith papers cite this work. Polarity classification is still indexing.
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DiLA uses content-structure disentanglement driven by predictive bottlenecks to create semantically structured latent actions for high-fidelity video world models.
citing papers explorer
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Latent State Design for World Models under Sufficiency Constraints
World models succeed when their latent states are built to meet task-specific sufficiency constraints rather than preserving the maximum amount of information.
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DiLA: Disentangled Latent Action World Models
DiLA uses content-structure disentanglement driven by predictive bottlenecks to create semantically structured latent actions for high-fidelity video world models.