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Gaurav Pandey

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#machine learning Preprint Sep 2026

ActionSplice: In-Flight Action Editing for Interactive World Models

This work introduces \emph{ActionSplice], which edits the interrupted state through Counterfactual State Transport (CST), a lightweight corrector that moves the interrupted solver state toward the matched counterfactual solver state induced by the revised action at the same solver step.

P. Taghavi, Ting-Yu Guo, Jonas Lossner et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models

This work introduces SparsePR, which combines Response-Coupled Partitioning with Probe-Fitted Residual Reconstruction and consistently reduces attention-reconstruction error across four heterogeneous video generation and world models.

P. Taghavi, Reza Langari, Gaurav Pandey · 1 citation

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