pith:JDURUAVD
KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic Exploration
KVPO aligns streaming autoregressive video generators by routing semantic variations through the KV cache and modeling policies via velocity energy in ODE space.
arxiv:2605.14278 v1 · 2026-05-14 · cs.CV
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Claims
KVPO introduces a causal-semantic exploration paradigm that relocates the source of variation from stochastic noise to the historical KV cache, constructing semantically diverse generation branches that remain strictly on the data manifold, and a velocity-field surrogate policy based on Trajectory Velocity Energy that yields a reward-weighted contrastive objective fully consistent with the native ODE formulation.
That stochastically routing historical KV entries produces semantically diverse generation branches that remain strictly on the data manifold without introducing artifacts or deviating from the model's learned distribution.
KVPO aligns streaming autoregressive video generators with human preferences via ODE-native GRPO, using KV cache for semantic exploration and TVE for velocity-based policy modeling, yielding gains in quality and alignment.
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| First computed | 2026-05-17T23:39:10.316265Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
48e91a02a395ecf0ac521c8c1fab31d451214957c417e859b466b8474f3f7860
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/JDURUAVDSXWPBLCSDSGB7KZR2R \
| jq -c '.canonical_record' \
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Canonical record JSON
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