{"total":57,"rows":[{"id":"2510.10125","title":"Ctrl-World: A Controllable Generative World Model for Robot Manipulation","created":"2025-10-11","cited_by_count":167,"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":"2602.08971","title":"WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models","created":"2026-02-09","cited_by_count":76,"area":"wm"},{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2506.00613","title":"WorldGym: World Model as An Environment for Policy Evaluation","created":"2025-05-31","cited_by_count":64,"area":"wm"},{"id":"2507.00917","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","created":"2025-07-01","cited_by_count":51,"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":"2606.19531","title":"ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?","created":"2026-06-17","cited_by_count":38,"area":"wm"},{"id":"2602.02454","title":"World-Gymnast: Training Robots with Reinforcement Learning in a World Model","created":"2026-02-02","cited_by_count":27,"area":"wm"},{"id":"2511.11520","title":"Scalable Policy Evaluation with Video World Models","created":"2025-11-14","cited_by_count":24,"area":"wm"},{"id":"2605.06388","title":"Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models","created":"2026-05-07","cited_by_count":22,"area":"wm"},{"id":"2602.03793","title":"BridgeV2W: Bridging Video Generation Models to Embodied World Models via Embodiment Masks","created":"2026-02-03","cited_by_count":20,"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":"2511.02097","title":"A Step Toward World Models: A Survey on Robotic Manipulation","created":"2025-10-31","cited_by_count":15,"area":"wm"},{"id":"2605.03941","title":"iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework","created":"2026-05-05","cited_by_count":14,"area":"wm"},{"id":"2601.07823","title":"Robotic Video World Models: A Survey of Applications, Research Challenges, Future Directions","created":"2026-01-12","cited_by_count":13,"area":"wm"},{"id":"2602.18739","title":"When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models","created":"2026-02-21","cited_by_count":13,"area":"wm"},{"id":"2604.22152","title":"dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model","created":"2026-04-24","cited_by_count":13,"area":"wm"},{"id":"2606.12217","title":"Making Foresight Actionable: Repurposing Representation Alignment in World Action Models","created":"2026-06-10","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":"2604.21741","title":"Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training","created":"2026-04-23","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":"2602.11291","title":"H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model","created":"2026-02-11","cited_by_count":7,"area":"wm"},{"id":"2605.27947","title":"SANTS: A State-Adaptive Scheduler for World Action Models","created":"2026-05-27","cited_by_count":7,"area":"wm"},{"id":"2606.04463","title":"OSCAR: Omni-Embodiment Action-Conditioned World Model for Robotics","created":"2026-06-03","cited_by_count":7,"area":"wm"},{"id":"2511.12882","title":"Towards High-Consistency Embodied World Model with Multi-View Trajectory Videos","created":"2025-11-17","cited_by_count":6,"area":"wm"},{"id":"2606.01600","title":"RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation","created":"2026-06-01","cited_by_count":6,"area":"wm"},{"id":"2606.11129","title":"WorldOlympiad: Can Your World Model Survive a Triathlon?","created":"2026-06-09","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":"2512.03556","title":"RoboScape-R: Unified Reward-Observation World Models for Generalizable Robotics Training via RL","created":"2025-12-03","cited_by_count":5,"area":"wm"},{"id":"2603.28489","title":"Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms","created":"2026-03-30","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":"2601.15533","title":"From Generative Engines to Actionable Simulators: The Imperative of Physical Grounding in World Models","created":"2026-01-21","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":"2608.02603","title":"WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity","created":"2026-08-03","cited_by_count":4,"area":"wm"},{"id":"2606.12403","title":"World Pilot: Steering Vision-Language-Action Models with World-Action Priors","created":"2026-06-10","cited_by_count":3,"area":"wm"},{"id":"2606.13053","title":"EV-WM: Event-Verified World Models for Long-Horizon Robotic Manipulation","created":"2026-06-11","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":"2511.17792","title":"Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?","created":"2025-11-21","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":"2608.24885","title":"Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning","created":"2026-08-25","cited_by_count":2,"area":"wm"},{"id":"2602.00785","title":"World Models as an Intermediary between Agents and the Real World","created":"2026-01-31","cited_by_count":1,"area":"wm"},{"id":"2606.00267","title":"StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement","created":"2026-05-29","cited_by_count":1,"area":"wm"},{"id":"2608.26190","title":"Predicting Consequences and Reinforcing Navigation Policies with Latent World Models","created":"2026-08-23","cited_by_count":1,"area":"wm"},{"id":"2609.16697","title":"World Models for Embodied Intelligence: From Plausible to Controllable to Actionable","created":"2026-09-15","cited_by_count":1,"area":"wm"},{"id":"2606.22363","title":"Reference-Free Assessment of Physical Consistency in World Model-based Video Generation","created":"2026-06-21","cited_by_count":0,"area":"wm"},{"id":"2609.10506","title":"DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot Manipulation","created":"2026-09-09","cited_by_count":0,"area":"wm"},{"id":"2609.39685","title":"RoboCoach: World Models as Active Coaches for Compositional Robot Skills","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.00575","title":"Token-World: World Modeling in Vision-Language Model Token Space for Robot Manipulation","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.03374","title":"EVEWorld: Physical Evolution Supervision for Embodied World Models","created":"2026-10-02","cited_by_count":0,"area":"wm"},{"id":"2610.06598","title":"SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models","created":"2026-10-05","cited_by_count":0,"area":"wm"},{"id":"2610.07922","title":"OpenWAM: An Open Framework for Composable World-Action Models","created":"2026-10-06","cited_by_count":0,"area":"wm"},{"id":"2610.18305","title":"AffectWorld: Benchmarking Emotion-Driven Future World Prediction","created":"2026-10-13","cited_by_count":0,"area":"wm"}],"next_cursor":null}