{"total":16,"rows":[{"id":"2511.00062","title":"World Simulation with Video Foundation Models for Physical AI","created":"2025-10-28","cited_by_count":200,"area":null},{"id":"2607.08639","title":"Native Video-Action Pretraining for Generalizable Robot Control","created":"2026-07-09","cited_by_count":36,"area":null},{"id":"2601.15282","title":"Rethinking Video Generation Model for the Embodied World","created":"2026-01-21","cited_by_count":33,"area":null},{"id":"2606.28128","title":"PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation","created":"2026-06-26","cited_by_count":10,"area":null},{"id":"2511.12940","title":"Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention","created":"2025-11-17","cited_by_count":9,"area":null},{"id":"2607.24744","title":"Data Pyramid for Embodied Manipulation: A Survey","created":"2026-07-27","cited_by_count":6,"area":null},{"id":"2603.08403","title":"SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents","created":"2026-03-09","cited_by_count":5,"area":null},{"id":"2604.27621","title":"Robot Learning from Human Videos: A Survey","created":"2026-04-30","cited_by_count":5,"area":null},{"id":"2512.19402","title":"Real2Edit2Real: Generating Robotic Demonstrations via a 3D Control Interface","created":"2025-12-22","cited_by_count":4,"area":null},{"id":"2605.12167","title":"From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2606.17040","title":"R2RDreamer: 3D-aware Data Augmentation for Spatially-generalized 2D Manipulation Policies","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2607.02646","title":"EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.21582","title":"Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2609.36518","title":"LIBERO-MAX: Do Robot Policies Adapt When the World Changes?","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.03664","title":"ProAR: Learning Prospective Reasoning with Autoregressive Video Models","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.06235","title":"Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}