{"total":116,"rows":[{"id":"2210.02747","title":"Flow Matching for Generative Modeling","created":"2022-10-06","cited_by_count":5702,"area":"wm"},{"id":"2602.15922","title":"World Action Models are Zero-shot Policies","created":"2026-02-17","cited_by_count":465,"area":"wm"},{"id":"2601.21998","title":"Causal World Modeling for Robot Control","created":"2026-01-29","cited_by_count":321,"area":"wm"},{"id":"2505.13211","title":"MAGI-1: Autoregressive Video Generation at Scale","created":"2025-05-19","cited_by_count":276,"area":"wm"},{"id":"2509.25161","title":"Rolling Forcing: Autoregressive Long Video Diffusion in Real Time","created":"2025-09-29","cited_by_count":234,"area":"wm"},{"id":"2509.24527","title":"Training Agents Inside of Scalable World Models","created":"2025-09-29","cited_by_count":136,"area":"wm"},{"id":"2510.12796","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","created":"2025-10-14","cited_by_count":134,"area":"wm"},{"id":"2411.00769","title":"GameGen-X: Interactive Open-world Game Video Generation","created":"2024-11-01","cited_by_count":128,"area":"wm"},{"id":"2506.24113","title":"Epona: Autoregressive Diffusion World Model for Autonomous Driving","created":"2025-06-30","cited_by_count":117,"area":"wm"},{"id":"2507.07982","title":"Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling","created":"2025-07-10","cited_by_count":96,"area":"wm"},{"id":"2507.17744","title":"Yume: An Interactive World Generation Model","created":"2025-07-23","cited_by_count":81,"area":"wm"},{"id":"2411.00785","title":"IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI","created":"2024-10-17","cited_by_count":72,"area":"wm"},{"id":"2602.22208","title":"Solaris: Building a Multiplayer Video World Model in Minecraft","created":"2026-02-25","cited_by_count":47,"area":"wm"},{"id":"2506.01103","title":"DeepVerse: 4D Autoregressive Video Generation as a World Model","created":"2025-06-01","cited_by_count":40,"area":"wm"},{"id":"2511.09057","title":"PAN: A World Model for General, Actionable, and Long-Horizon World Simulation","created":"2025-11-12","cited_by_count":36,"area":"wm"},{"id":"2602.22010","title":"World Guidance: World Modeling in Condition Space for Action Generation","created":"2026-02-25","cited_by_count":36,"area":"wm"},{"id":"2512.13644","title":"World Models for Learning Dexterous Hand-Object Interactions from Human Videos","created":"2025-12-15","cited_by_count":31,"area":"wm"},{"id":"2502.11663","title":"MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction","created":"2025-02-17","cited_by_count":29,"area":"wm"},{"id":"2606.25473","title":"Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models","created":"2026-06-24","cited_by_count":25,"area":"wm"},{"id":"2604.04198","title":"DriveVA: Video Action Models are Zero-Shot Drivers","created":"2026-04-05","cited_by_count":23,"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":"2512.18741","title":"Memorize-and-Generate: Towards Long-Term Consistency in Real-Time Video Generation","created":"2025-12-21","cited_by_count":20,"area":"wm"},{"id":"2503.15875","title":"MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving","created":"2025-03-20","cited_by_count":18,"area":"wm"},{"id":"2507.13162","title":"Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models","created":"2025-07-17","cited_by_count":17,"area":"wm"},{"id":"2512.21714","title":"AstraNav-World: World Model for Foresight Control and Consistency","created":"2025-12-25","cited_by_count":17,"area":"wm"},{"id":"2602.09600","title":"Hand2World: Autoregressive Egocentric Interaction Generation via Free-Space Hand Gestures","created":"2026-02-10","cited_by_count":16,"area":"wm"},{"id":"2607.19191","title":"ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU","created":"2026-07-21","cited_by_count":16,"area":"wm"},{"id":"2605.14696","title":"EponaV2: Driving World Model with Comprehensive Future Reasoning","created":"2026-05-14","cited_by_count":15,"area":"wm"},{"id":"2412.02241","title":"Fast LiDAR Data Generation with Rectified Flows","created":"2024-12-03","cited_by_count":14,"area":"wm"},{"id":"2510.19195","title":"Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks","created":"2025-10-22","cited_by_count":14,"area":"wm"},{"id":"2605.28544","title":"DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving","created":"2026-05-27","cited_by_count":14,"area":"wm"},{"id":"2606.03159","title":"NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation","created":"2026-06-02","cited_by_count":14,"area":"wm"},{"id":"2606.17030","title":"Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation","created":"2026-06-15","cited_by_count":14,"area":"wm"},{"id":"2510.26433","title":"Co-Evolving Latent Action World Models","created":"2025-10-30","cited_by_count":13,"area":"wm"},{"id":"2603.12655","title":"VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model","created":"2026-03-13","cited_by_count":13,"area":"wm"},{"id":"2603.20169","title":"EgoForge: Goal-Directed Egocentric World Simulator","created":"2026-03-20","cited_by_count":12,"area":"wm"},{"id":"2510.05057","title":"StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation","created":"2025-10-06","cited_by_count":11,"area":"wm"},{"id":"2512.12751","title":"GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation","created":"2025-12-14","cited_by_count":11,"area":"wm"},{"id":"2506.23434","title":"Towards foundational LiDAR world models with efficient latent flow matching","created":"2025-06-30","cited_by_count":10,"area":"wm"},{"id":"2602.10104","title":"Olaf-World: Orienting Latent Actions for Video World Modeling","created":"2026-02-10","cited_by_count":10,"area":"wm"},{"id":"2603.12639","title":"RoboStereo: Dual-Tower 4D Embodied World Models for Unified Policy Optimization","created":"2026-03-13","cited_by_count":10,"area":"wm"},{"id":"2605.08567","title":"ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models","created":"2026-05-09","cited_by_count":10,"area":"wm"},{"id":"2608.07468","title":"SimWAM: A Simple World Action Model for End-to-End Autonomous Driving","created":"2026-08-07","cited_by_count":9,"area":"wm"},{"id":"2603.19979","title":"X-World: Controllable Ego-Centric Multi-Camera World Models for Scalable End-to-End Driving","created":"2026-03-20","cited_by_count":8,"area":"wm"},{"id":"2401.14718","title":"A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches","created":"2024-01-26","cited_by_count":7,"area":"wm"},{"id":"2504.19077","title":"Learning to Drive from a World Model","created":"2025-04-27","cited_by_count":6,"area":"wm"},{"id":"2606.23105","title":"Compression and Retrieval: Implicit Memory Retrieval for Video World Models","created":"2026-06-22","cited_by_count":6,"area":"wm"},{"id":"2609.16074","title":"World-Action Models for Robot Learning and Control: A Survey","created":"2026-09-13","cited_by_count":6,"area":"wm"},{"id":"2512.11225","title":"VFMF: World Modeling by Forecasting Vision Foundation Model Features","created":"2025-12-12","cited_by_count":5,"area":"wm"},{"id":"2604.02330","title":"ActionParty: Multi-Subject Action Binding in Generative Video Games","created":"2026-04-02","cited_by_count":5,"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":"2606.24101","title":"NavWM: A Unified Navigation World Model for Foresight-Driven Planning","created":"2026-06-23","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":"2605.11596","title":"HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation","created":"2026-05-12","cited_by_count":4,"area":"wm"},{"id":"2606.29059","title":"Flow Matching in Feature Space for Stochastic World Modeling","created":"2026-06-27","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":"2607.04978","title":"Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control","created":"2026-07-06","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":"2602.01630","title":"Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks","created":"2026-02-02","cited_by_count":3,"area":"wm"},{"id":"2605.15391","title":"PanoWorld: Geometry-Consistent Panoramic Video World Modeling","created":"2026-05-14","cited_by_count":3,"area":"wm"},{"id":"2606.12688","title":"M*: A Modular, Extensible, Serving System for Multimodal Models","created":"2026-06-10","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":"2608.24855","title":"LeFlow: Generative Latent Flow Planning for World Models","created":"2026-08-25","cited_by_count":3,"area":"wm"},{"id":"2608.27073","title":"SpatialCrafter: Single Image World Modeling with Generative 3D Proxies","created":"2026-08-27","cited_by_count":3,"area":"wm"},{"id":"2609.20034","title":"Astronex-World 1.0: Real-Time Interactive World Model Foundation","created":"2026-09-17","cited_by_count":3,"area":"wm"},{"id":"2603.19675","title":"DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving","created":"2026-03-20","cited_by_count":2,"area":"wm"},{"id":"2603.28963","title":"AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models","created":"2026-03-30","cited_by_count":2,"area":"wm"},{"id":"2605.31336","title":"DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory","created":"2026-05-29","cited_by_count":2,"area":"wm"},{"id":"2606.27364","title":"PhysiFormer: Learning to Simulate Mechanics in World Space","created":"2026-06-25","cited_by_count":2,"area":"wm"},{"id":"2606.27504","title":"ReWorld: Representation Learning for World Action Models","created":"2026-06-25","cited_by_count":2,"area":"wm"},{"id":"2606.31226","title":"ForgeDrive: Bidirectional Cross-Conditioning for Unified Visual-Action Generation in Autonomous Driving","created":"2026-06-30","cited_by_count":2,"area":"wm"},{"id":"2606.32028","title":"DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation","created":"2026-06-30","cited_by_count":2,"area":"wm"},{"id":"2607.28624","title":"PhiZero: A World Model Built Around Physical Language","created":"2026-07-30","cited_by_count":2,"area":"wm"},{"id":"2608.12854","title":"BrainWAM: Action-Space Coordination of Semantic Priors and Predictive Dynamics for Autonomous Driving","created":"2026-08-13","cited_by_count":2,"area":"wm"},{"id":"2608.30692","title":"Can Video World Models Track Unobserved World States?","created":"2026-08-31","cited_by_count":2,"area":"wm"},{"id":"2510.07944","title":"CVD-STORM: Cross-View Video Diffusion with Spatial-Temporal Reconstruction Model for Autonomous Driving","created":"2025-10-09","cited_by_count":1,"area":"wm"},{"id":"2602.00608","title":"Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design","created":"2026-01-31","cited_by_count":1,"area":"wm"},{"id":"2602.08032","title":"Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models","created":"2026-02-08","cited_by_count":1,"area":"wm"},{"id":"2603.22430","title":"Inference Time Policy Optimization for Offline RL with Differentiable World Models","created":"2026-03-23","cited_by_count":1,"area":"wm"},{"id":"2604.20627","title":"Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning","created":"2026-04-22","cited_by_count":1,"area":"wm"},{"id":"2604.28122","title":"Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces","created":"2026-04-30","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":"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":"2606.16278","title":"RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World Videos","created":"2026-06-15","cited_by_count":1,"area":"wm"},{"id":"2606.22131","title":"Feed-forward Motion In-betweening for Any 4D","created":"2026-06-20","cited_by_count":1,"area":"wm"},{"id":"2608.01127","title":"MiniWorld: Democratizing the Training of Video World Models from Scratch","created":"2026-08-02","cited_by_count":1,"area":"wm"},{"id":"2608.24199","title":"NVIDIA Cosmos-H-Dreams: Real-Time Generative Physics Simulation for Surgical Robotics","created":"2026-08-25","cited_by_count":1,"area":"wm"},{"id":"2609.02159","title":"World-Coherent Decoding: Self-Verifying Test-Time Planning for World Action Models","created":"2026-09-02","cited_by_count":1,"area":"wm"},{"id":"2610.13781","title":"SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models","created":"2026-10-09","cited_by_count":1,"area":"wm"},{"id":"2510.02315","title":"FOCUS: Optimal Control for Multi-Entity World Modeling in Text-to-Image Generation","created":"2025-10-02","cited_by_count":0,"area":"wm"},{"id":"2605.01896","title":"Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models","created":"2026-05-03","cited_by_count":0,"area":"wm"},{"id":"2606.12072","title":"World Model Self-Distillation: Training World Models to Solve General Tasks","created":"2026-06-10","cited_by_count":0,"area":"wm"},{"id":"2607.01938","title":"PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation","created":"2026-07-02","cited_by_count":0,"area":"wm"},{"id":"2607.10781","title":"Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models","created":"2026-07-12","cited_by_count":0,"area":"wm"},{"id":"2607.17560","title":"Reinforcement Learning: From Algorithms To Foundation Models","created":"2026-07-20","cited_by_count":0,"area":"wm"},{"id":"2608.02953","title":"RealWeather: Realistic and Scene-Faithful Weather Translation with Driving World Models","created":"2026-08-03","cited_by_count":0,"area":"wm"},{"id":"2608.28995","title":"Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution","created":"2026-08-29","cited_by_count":0,"area":"wm"},{"id":"2608.29029","title":"Flow-JEPA: Flow Matching for Robust Latent Dynamics in JEPA World Models","created":"2026-08-29","cited_by_count":0,"area":"wm"},{"id":"2609.01215","title":"REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs","created":"2026-09-01","cited_by_count":0,"area":"wm"},{"id":"2609.03067","title":"GPU-Accelerated Astrodynamics World Models for Spacecraft Rendezvous and Proximity Operations","created":"2026-09-02","cited_by_count":0,"area":"wm"}],"next_cursor":"100"}