pith. sign in

Title resolution pending

With a patch size of 4 (resulting in a 4×4 token grid), this yields a total flattened latent dimension of dz = 4×4×32 = 512 · 2025

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.CV 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

DiLA: Disentangled Latent Action World Models

cs.CV · 2026-05-15 · unverdicted · novelty 6.0

DiLA uses content-structure disentanglement driven by predictive bottlenecks to create semantically structured latent actions for high-fidelity video world models.

citing papers explorer

Showing 1 of 1 citing paper.

  • DiLA: Disentangled Latent Action World Models cs.CV · 2026-05-15 · unverdicted · none · ref 31

    DiLA uses content-structure disentanglement driven by predictive bottlenecks to create semantically structured latent actions for high-fidelity video world models.