{"total":83,"rows":[{"id":"2501.03575","title":"Cosmos World Foundation Model Platform for Physical AI","created":"2025-01-07","cited_by_count":864,"area":"wm"},{"id":"2602.06949","title":"DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos","created":"2026-02-06","cited_by_count":135,"area":"wm"},{"id":"2503.18938","title":"AdaWorld: Learning Adaptable World Models with Latent Actions","created":"2025-03-24","cited_by_count":114,"area":"wm"},{"id":"2504.20995","title":"TesserAct: Learning 4D Embodied World Models","created":"2025-04-29","cited_by_count":94,"area":"wm"},{"id":"2604.26694","title":"Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising","created":"2026-04-29","cited_by_count":71,"area":"wm"},{"id":"2511.09515","title":"WMPO: World Model-based Policy Optimization for Vision-Language-Action Models","created":"2025-11-12","cited_by_count":70,"area":"wm"},{"id":"2602.13977","title":"WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL","created":"2026-02-15","cited_by_count":50,"area":"wm"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2605.00080","title":"World Model for Robot Learning: A Comprehensive Survey","created":"2026-04-30","cited_by_count":46,"area":"wm"},{"id":"2412.08261","title":"FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model","created":"2024-12-11","cited_by_count":42,"area":"wm"},{"id":"2506.23135","title":"RoboScape: Physics-informed Embodied World Model","created":"2025-06-29","cited_by_count":40,"area":"wm"},{"id":"2605.25874","title":"WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation","created":"2026-05-25","cited_by_count":39,"area":"wm"},{"id":"2410.12822","title":"AVID: Adapting Video Diffusion Models to World Models","created":"2024-10-01","cited_by_count":37,"area":"wm"},{"id":"2509.19080","title":"World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation","created":"2025-09-23","cited_by_count":35,"area":"wm"},{"id":"2507.05198","title":"EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling","created":"2025-07-07","cited_by_count":29,"area":"wm"},{"id":"2603.23376","title":"ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment","created":"2026-03-24","cited_by_count":29,"area":"wm"},{"id":"2604.18564","title":"MultiWorld: Scalable Multi-Agent Multi-View Video World Models","created":"2026-04-20","cited_by_count":23,"area":"wm"},{"id":"2603.09030","title":"PlayWorld: Learning Robot World Models from Autonomous Play","created":"2026-03-09","cited_by_count":18,"area":"wm"},{"id":"2604.01985","title":"World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry","created":"2026-04-02","cited_by_count":18,"area":"wm"},{"id":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2607.13017","title":"FlowWAM: Optical Flow as a Unified Action Representation for World Action Models","created":"2026-07-14","cited_by_count":16,"area":"wm"},{"id":"2601.15284","title":"Walk through Paintings: Egocentric World Models from Internet Priors","created":"2026-01-21","cited_by_count":14,"area":"wm"},{"id":"2603.17808","title":"EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards","created":"2026-03-18","cited_by_count":14,"area":"wm"},{"id":"2603.25685","title":"Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning","created":"2026-03-26","cited_by_count":12,"area":"wm"},{"id":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"area":"wm"},{"id":"2512.11797","title":"AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis","created":"2025-12-12","cited_by_count":11,"area":"wm"},{"id":"2607.02642","title":"GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation","created":"2026-07-02","cited_by_count":11,"area":"wm"},{"id":"2604.19734","title":"UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling","created":"2026-04-21","cited_by_count":10,"area":"wm"},{"id":"2605.17912","title":"WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform","created":"2026-05-18","cited_by_count":10,"area":"wm"},{"id":"2606.15032","title":"How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position","created":"2026-06-13","cited_by_count":10,"area":"wm"},{"id":"2512.06628","title":"MIND-V: Hierarchical World Model for Long-Horizon Robotic Manipulation with RL-based Physical Alignment","created":"2025-12-07","cited_by_count":9,"area":"wm"},{"id":"2605.29360","title":"MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models","created":"2026-05-28","cited_by_count":9,"area":"wm"},{"id":"2606.01164","title":"Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends","created":"2026-05-31","cited_by_count":8,"area":"wm"},{"id":"2606.18960","title":"Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation","created":"2026-06-17","cited_by_count":8,"area":"wm"},{"id":"2510.09036","title":"RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic Manipulation","created":"2025-10-10","cited_by_count":7,"area":"wm"},{"id":"2606.21088","title":"MV-WAM: Manifold-Aware World Action Model with Value Augmentation","created":"2026-06-19","cited_by_count":6,"area":"wm"},{"id":"2606.29501","title":"Learning Transferable Dynamics Priors from Action to World Modeling","created":"2026-06-28","cited_by_count":6,"area":"wm"},{"id":"2607.27599","title":"World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models","created":"2026-07-30","cited_by_count":6,"area":"wm"},{"id":"2604.28185","title":"Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling","created":"2026-04-30","cited_by_count":5,"area":"wm"},{"id":"2605.06192","title":"EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields","created":"2026-05-07","cited_by_count":5,"area":"wm"},{"id":"2608.13489","title":"DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation","created":"2026-08-13","cited_by_count":5,"area":"wm"},{"id":"2608.13552","title":"PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives","created":"2026-08-13","cited_by_count":5,"area":"wm"},{"id":"2609.05588","title":"GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation","created":"2026-09-04","cited_by_count":5,"area":"wm"},{"id":"2506.01182","title":"Humanoid World Models: Open World Foundation Models for Humanoid Robotics","created":"2025-06-01","cited_by_count":4,"area":"wm"},{"id":"2607.01060","title":"RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation","created":"2026-07-01","cited_by_count":4,"area":"wm"},{"id":"2607.15065","title":"DriftWorld: Fast World Modeling through Drifting","created":"2026-07-16","cited_by_count":4,"area":"wm"},{"id":"2608.01397","title":"SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space","created":"2026-08-02","cited_by_count":4,"area":"wm"},{"id":"2606.00133","title":"World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications","created":"2026-05-28","cited_by_count":3,"area":"wm"},{"id":"2607.22535","title":"Robot-Factored World Models via Robot Rendering","created":"2026-07-24","cited_by_count":3,"area":"wm"},{"id":"2607.29302","title":"BWM: A Low-Cost High-Fidelity World Simulator for Robot Learning","created":"2026-07-31","cited_by_count":3,"area":"wm"},{"id":"2608.04964","title":"WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models","created":"2026-08-05","cited_by_count":3,"area":"wm"},{"id":"2608.06332","title":"GeniWorld: A Generalizable Interactive World Model for Robotic Manipulation via Visual Actions","created":"2026-08-06","cited_by_count":3,"area":"wm"},{"id":"2608.29242","title":"AnyWorld: Factorized Egocentric World Models for Cross-Embodiment Generalization","created":"2026-08-29","cited_by_count":3,"area":"wm"},{"id":"2605.19957","title":"World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied Tasks","created":"2026-05-19","cited_by_count":2,"area":"wm"},{"id":"2606.00664","title":"SKIP: Sparse Keyframe Interpolation Paradigm for Efficient Embodied World Models","created":"2026-05-30","cited_by_count":2,"area":"wm"},{"id":"2606.05773","title":"PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop Evaluation","created":"2026-06-04","cited_by_count":2,"area":"wm"},{"id":"2608.09298","title":"WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation","created":"2026-08-10","cited_by_count":2,"area":"wm"},{"id":"2608.13438","title":"ContactGuard: Pre-Contact Execution Monitoring with Action-Conditioned Latent World Models","created":"2026-08-13","cited_by_count":2,"area":"wm"},{"id":"2609.23753","title":"OnlineWM: Causality-Aware Active Online Learning for Effective World Modeling","created":"2026-09-20","cited_by_count":2,"area":"wm"},{"id":"2603.14392","title":"WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems","created":"2026-03-15","cited_by_count":1,"area":"wm"},{"id":"2605.12334","title":"Reinforcing VLAs in Task-Agnostic World Models","created":"2026-05-12","cited_by_count":1,"area":"wm"},{"id":"2605.16395","title":"OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence","created":"2026-05-12","cited_by_count":1,"area":"wm"},{"id":"2607.16602","title":"PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration","created":"2026-07-18","cited_by_count":1,"area":"wm"},{"id":"2608.22067","title":"DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation","created":"2026-08-22","cited_by_count":1,"area":"wm"},{"id":"2609.09155","title":"SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators","created":"2026-09-08","cited_by_count":1,"area":"wm"},{"id":"2609.17372","title":"XPACE: Joint World and Action Modeling from Heterogeneous Experience","created":"2026-09-15","cited_by_count":1,"area":"wm"},{"id":"2604.11386","title":"ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation","created":"2026-04-13","cited_by_count":0,"area":"wm"},{"id":"2607.26579","title":"ContactFlow: A video action conditioning that transfers across embodiments","created":"2026-07-29","cited_by_count":0,"area":"wm"},{"id":"2608.05799","title":"XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments?","created":"2026-08-06","cited_by_count":0,"area":"wm"},{"id":"2608.26239","title":"WALL-SS: Scaling Long-horizon World Models via Next-Scale Autoregression","created":"2026-08-26","cited_by_count":0,"area":"wm"},{"id":"2609.03927","title":"Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models","created":"2026-09-03","cited_by_count":0,"area":"wm"},{"id":"2609.09418","title":"Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration","created":"2026-09-08","cited_by_count":0,"area":"wm"},{"id":"2609.33104","title":"VPTwin: Real-Sim-Real Video Prediction for Robotic Manipulation Planning","created":"2026-09-27","cited_by_count":0,"area":"wm"},{"id":"2609.33172","title":"Dynamic Manipulation with World-Action Models via Counterfactual Planning","created":"2026-09-27","cited_by_count":0,"area":"wm"},{"id":"2609.34414","title":"From World Models to World Action Models: Rethinking Next-State Prediction","created":"2026-09-28","cited_by_count":0,"area":"wm"},{"id":"2610.01019","title":"FutureWorlds: Learning Robotic World Models from Alternative Futures","created":"2026-10-01","cited_by_count":0,"area":"wm"},{"id":"2610.01559","title":"Completion Aware Guidance for World Action Models","created":"2026-10-01","cited_by_count":0,"area":"wm"},{"id":"2610.06349","title":"KineWorld: Action-Induced Transport Fields for Embodied World Modeling","created":"2026-10-05","cited_by_count":0,"area":"wm"},{"id":"2610.12468","title":"DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training","created":"2026-10-08","cited_by_count":0,"area":"wm"},{"id":"2610.13522","title":"Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure Dynamics","created":"2026-10-09","cited_by_count":0,"area":"wm"},{"id":"2610.15645","title":"SurgCast: Action-Conditioned Future Skeletons for Controllable Surgical World Models","created":"2026-10-11","cited_by_count":0,"area":"wm"},{"id":"2610.19007","title":"Action Jets: Learning the Local Shape of the Action-conditioned Data Manifold","created":"2026-10-13","cited_by_count":0,"area":"wm"},{"id":"2610.19795","title":"StateCraft: Augmenting Video World Models with Abstract-State Reasoning","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}