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Under review as a conference paper at ICLR 2027

ActionSplice: In-Flight Action Editing for Interactive World Models

Abstract

Chunk-autoregressive video world models typically generate each chunk under one action. When an action changes during sampling, waiting until the next chunk delays the response, while directly switching the conditioning leaves the intermediate solver state shaped by the previous action. Restarting sampling under the revised action avoids this mismatch but repeats completed computation. We introduce ActionSplice, which edits the interrupted state through Counterfactual State Transport (CST). A lightweight corrector moves the interrupted solver state toward the matched counterfactual solver state induced by the revised action at the same solver step. The world model and sampler remain frozen, and sampling resumes without replaying completed evaluations. CST-R retargets the entire active chunk, while CST-T preserves the temporal prefix at the intervention step and corrects only the suffix. On minWM–Wan Action2V and HY-WM1.5, we measure fidelity against matched rollback references. Relative to condition swapping, CST-R reduces LPIPS by 61.5% and 75.9%, and CST-T reduces suffix LPIPS by 56.1% and 77.5%, respectively.

open until 14 Dec 2026

est. 32% chance this paper gets accepted at ICLR 2027.

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