Temporal Backtracking Search for Test-time Generative Video Reasoning Researchers introduce Temporal Backtracking Search (TBS), a test-time scaling method for generative video reasoning that searches over the temporal axis rather than denoising steps. TBS transforms video generation into an iterative generate-verify-restart loop, achieving 22.7% success in out-of-distribution settings where one-shot generation collapses to 0.7%. The method demonstrates that video models' local reasoning competence far exceeds single-shot rollouts. arXiv:2606.13861v1 Announce Type: new Abstract: While test-time scaling has revolutionized reasoning in large language models, generative video reasoning remains bottlenecked by a single-shot paradigm. We demonstrate that searching over denoising steps cannot rescue logically flawed rollouts because spatial trajectories commit early in the diffusion process. Root-level Best-of-N BoN sampling is similarly inefficient: reasoning errors cluster early in the temporal axis, and resampling blindly discards verified upstream progress. To unlock effective test-time scaling for video models, we introduce Temporal Backtracking Search TBS , which shifts the search space to the temporal axis. TBS transforms video generation into an iterative generate-verify-restart loop via three core mechanisms: 1 variable-K conditioning to resume generation from arbitrary clean prefixes; 2 temporal process verification to localize failures and extract valid restart anchors; and 3 prefix-based search to reallocate compute toward extending correct trajectories rather than root resampling. Across algorithmic, navigation, and robotics domains, TBS Pareto-dominates matched-budget BoN. In a strict out-of-distribution setting where one-shot generation collapses 0.7% for BoN , TBS achieves 22.7%, with every solved episode stemming from a restarted branch. Ultimately, TBS reveals that the local reasoning competence of video models far exceeds what single-shot rollouts indicate, providing a scalable test-time framework to unlock it.