{"total":103,"rows":[{"id":"2408.06072","title":"CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer","created":"2024-08-12","cited_by_count":2261,"area":"wm"},{"id":"2506.09985","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","created":"2025-06-11","cited_by_count":809,"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":"2411.02385","title":"How Far is Video Generation from World Model: A Physical Law Perspective","created":"2024-11-04","cited_by_count":212,"area":"wm"},{"id":"2402.08268","title":"World Model on Million-Length Video And Language With Blockwise RingAttention","created":"2024-02-13","cited_by_count":198,"area":"wm"},{"id":"2508.13009","title":"Matrix-game 2.0: An open-source real-time and streaming interactive world model","created":"2025-08-18","cited_by_count":186,"area":"wm"},{"id":"2512.14614","title":"WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling","created":"2025-12-16","cited_by_count":170,"area":"wm"},{"id":"2405.15223","title":"iVideoGPT: Interactive VideoGPTs are Scalable World Models","created":"2024-05-24","cited_by_count":146,"area":"wm"},{"id":"2509.24527","title":"Training Agents Inside of Scalable World Models","created":"2025-09-29","cited_by_count":136,"area":"wm"},{"id":"2402.04324","title":"ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation","created":"2024-02-06","cited_by_count":132,"area":"wm"},{"id":"2510.26583","title":"Emu3.5: Native Multimodal Models are World Learners","created":"2025-10-30","cited_by_count":132,"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":"2503.18938","title":"AdaWorld: Learning Adaptable World Models with Latent Actions","created":"2025-03-24","cited_by_count":114,"area":"wm"},{"id":"2503.18945","title":"Aether: Geometric-Aware Unified World Modeling","created":"2025-03-24","cited_by_count":97,"area":"wm"},{"id":"2504.08388","title":"MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft","created":"2025-04-11","cited_by_count":97,"area":"wm"},{"id":"2412.18607","title":"DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers","created":"2024-12-24","cited_by_count":96,"area":"wm"},{"id":"2512.04040","title":"RELIC: Interactive Video World Model with Long-Horizon Memory","created":"2025-12-03","cited_by_count":96,"area":"wm"},{"id":"2510.02387","title":"CWM: An Open-Weights LLM for Research on Code Generation with World Models","created":"2025-09-30","cited_by_count":93,"area":"wm"},{"id":"2510.22200","title":"LongCat-Video Technical Report","created":"2025-10-25","cited_by_count":85,"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":"2412.19505","title":"DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT","created":"2024-12-27","cited_by_count":66,"area":"wm"},{"id":"2602.10090","title":"Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning","created":"2026-02-10","cited_by_count":66,"area":"wm"},{"id":"2511.19861","title":"GigaWorld-0: World Models as Data Engine to Empower Embodied AI","created":"2025-11-25","cited_by_count":62,"area":"wm"},{"id":"2507.19468","title":"Back to the Features: DINO as a Foundation for Video World Models","created":"2025-07-25","cited_by_count":58,"area":"wm"},{"id":"2512.23421","title":"DriveLaW:Unifying Planning and Video Generation in a Latent Driving World","created":"2025-12-29","cited_by_count":47,"area":"wm"},{"id":"2601.05230","title":"Learning Latent Action World Models In The Wild","created":"2026-01-08","cited_by_count":47,"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":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2604.14268","title":"HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds","created":"2026-04-15","cited_by_count":44,"area":"wm"},{"id":"2512.24497","title":"What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?","created":"2025-12-30","cited_by_count":43,"area":"wm"},{"id":"2505.13934","title":"RLVR-World: Training World Models with Reinforcement Learning","created":"2025-05-20","cited_by_count":40,"area":"wm"},{"id":"2606.16993","title":"DreamX-World 1.0: A General-Purpose Interactive World Model","created":"2026-06-15","cited_by_count":40,"area":"wm"},{"id":"2508.17600","title":"GWM: Towards Scalable Gaussian World Models for Robotic Manipulation","created":"2025-08-25","cited_by_count":39,"area":"wm"},{"id":"2505.21996","title":"VRAG: Learning World Models for Interactive Video Generation","created":"2025-05-28","cited_by_count":38,"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":"2511.05963","title":"Next-Latent Prediction Transformers Learn Compact World Models","created":"2025-11-08","cited_by_count":31,"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":"2412.01522","title":"InfinityDrive: Breaking Time Limits in Driving World Models","created":"2024-12-02","cited_by_count":21,"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":"2509.21574","title":"X-Streamer: Unified Human World Modeling with Audiovisual Interaction","created":"2025-09-25","cited_by_count":18,"area":"wm"},{"id":"2606.11187","title":"Next Forcing: Causal World Modeling with Multi-Chunk Prediction","created":"2026-06-09","cited_by_count":18,"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":"2606.09828","title":"Latent Spatial Memory for Video World Models","created":"2026-06-08","cited_by_count":17,"area":"wm"},{"id":"2504.13065","title":"EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance","created":"2025-04-17","cited_by_count":15,"area":"wm"},{"id":"2605.28816","title":"Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players","created":"2026-05-27","cited_by_count":15,"area":"wm"},{"id":"2608.07408","title":"Addressable Memory for Video World Models","created":"2026-08-07","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":"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":"2412.11867","title":"Transformers Use Causal World Models in Maze-Solving Tasks","created":"2024-12-16","cited_by_count":13,"area":"wm"},{"id":"2502.01591","title":"Improving Transformer World Models for Data-Efficient RL","created":"2025-02-03","cited_by_count":13,"area":"wm"},{"id":"2603.03482","title":"Beyond Pixel Histories: World Models with Persistent 3D State","created":"2026-03-03","cited_by_count":13,"area":"wm"},{"id":"2602.07854","title":"Geometry-Aware Rotary Position Embedding for Consistent Video World Model","created":"2026-02-08","cited_by_count":12,"area":"wm"},{"id":"2603.15583","title":"Grounding World Simulation Models in a Real-World Metropolis","created":"2026-03-16","cited_by_count":12,"area":"wm"},{"id":"2603.16669","title":"Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation","created":"2026-03-17","cited_by_count":12,"area":"wm"},{"id":"2606.05979","title":"World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis","created":"2026-06-04","cited_by_count":12,"area":"wm"},{"id":"2606.09507","title":"Prisma-World: Camera-Controllable Multi-Agent Video World Model","created":"2026-06-08","cited_by_count":11,"area":"wm"},{"id":"2603.02697","title":"ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling","created":"2026-03-03","cited_by_count":10,"area":"wm"},{"id":"2604.04913","title":"A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens","created":"2026-04-06","cited_by_count":10,"area":"wm"},{"id":"2605.15725","title":"DiLA: Disentangled Latent Action World Models","created":"2026-05-15","cited_by_count":10,"area":"wm"},{"id":"2602.20057","title":"AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation","created":"2026-02-23","cited_by_count":9,"area":"wm"},{"id":"2602.22960","title":"UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models","created":"2026-02-26","cited_by_count":9,"area":"wm"},{"id":"2608.02365","title":"Faster-WAM: Do World Action Models Need Deep Action Modules?","created":"2026-08-03","cited_by_count":9,"area":"wm"},{"id":"2608.29910","title":"Matrix-Game 3.5: Enhancing Real-Time Streaming Interactive World Models with Patch Memory","created":"2026-08-30","cited_by_count":9,"area":"wm"},{"id":"2512.02473","title":"WorldPack: Dynamic Frame Compression for Long-context Video World Modeling","created":"2025-12-02","cited_by_count":8,"area":"wm"},{"id":"2606.27326","title":"Hallucination in World Models is Predictable and Preventable","created":"2026-06-25","cited_by_count":8,"area":"wm"},{"id":"2502.05857","title":"EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds","created":"2025-02-09","cited_by_count":7,"area":"wm"},{"id":"2608.06375","title":"$\\omega$-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation","created":"2026-08-06","cited_by_count":6,"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":"2606.27677","title":"DIM-WAM: World-Action Modeling with Diverse Historical Event Memory","created":"2026-06-26","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":"2510.10670","title":"AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes","created":"2025-10-12","cited_by_count":4,"area":"wm"},{"id":"2602.20685","title":"RAYNOVA: Scale-Temporal Autoregressive World Modeling in Ray Space","created":"2026-02-24","cited_by_count":4,"area":"wm"},{"id":"2605.12938","title":"CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation","created":"2026-05-13","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":"2603.00825","title":"COMBAT: Conditional World Models for Behavioral Agent Training","created":"2026-02-28","cited_by_count":3,"area":"wm"},{"id":"2603.17375","title":"Stereo World Model: Camera-Guided Stereo Video Generation","created":"2026-03-18","cited_by_count":3,"area":"wm"},{"id":"2605.25829","title":"OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation","created":"2026-05-25","cited_by_count":3,"area":"wm"},{"id":"2509.13389","title":"From Next Token Prediction to (STRIPS) World Models","created":"2025-09-16","cited_by_count":2,"area":"wm"},{"id":"2606.12316","title":"Slots, Transitions, Loops: Learning Composable World Models for ARC","created":"2026-06-10","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":"2607.06216","title":"MoWorld: A Flash World Model","created":"2026-07-07","cited_by_count":2,"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":"2605.30100","title":"Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences","created":"2026-05-28","cited_by_count":1,"area":"wm"},{"id":"2606.01935","title":"Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning","created":"2026-06-01","cited_by_count":1,"area":"wm"},{"id":"2607.03558","title":"Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation","created":"2026-07-03","cited_by_count":1,"area":"wm"},{"id":"2608.07420","title":"Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction","created":"2026-08-07","cited_by_count":1,"area":"wm"},{"id":"2604.22240","title":"OccDirector: Language-Guided Behavior and Interaction Generation in 4D Occupancy Space","created":"2026-04-24","cited_by_count":0,"area":"wm"},{"id":"2606.01372","title":"BRo-JEPA: Learning Modular Transformations in Latent Space","created":"2026-05-31","cited_by_count":0,"area":"wm"},{"id":"2606.27575","title":"Perceptual 3D Simulation With Physical World Modeling","created":"2026-06-25","cited_by_count":0,"area":"wm"},{"id":"2606.30147","title":"T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation","created":"2026-06-29","cited_by_count":0,"area":"wm"},{"id":"2609.18430","title":"StrucPhysVideo: Learning Physical Dynamics from Structured Captions and Robot Actions","created":"2026-09-16","cited_by_count":0,"area":"wm"},{"id":"2609.21712","title":"ZYT-World: A Real-Time Controllable World Model for Closed-Loop Autonomous-Driving Simulation","created":"2026-09-18","cited_by_count":0,"area":"wm"},{"id":"2609.34085","title":"AD-E2E-JEPA: A Joint-Embedding Predictive Architecture For End-to-End Autonomous Driving","created":"2026-09-28","cited_by_count":0,"area":"wm"},{"id":"2609.39604","title":"Why Do Conventional World Models Fail to Learn Cellular Automata?","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.02162","title":"World Observer: Joint Actor-Observer Generation for Persistent World Modeling","created":"2026-10-01","cited_by_count":0,"area":"wm"},{"id":"2610.02840","title":"PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation","created":"2026-10-02","cited_by_count":0,"area":"wm"},{"id":"2610.05483","title":"FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning","created":"2026-10-04","cited_by_count":0,"area":"wm"},{"id":"2610.09514","title":"STRIKE: Learning Visual State Transitions for Physical World Modeling","created":"2026-10-07","cited_by_count":0,"area":"wm"},{"id":"2610.12299","title":"Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction","created":"2026-10-08","cited_by_count":0,"area":"wm"},{"id":"2610.16302","title":"RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models","created":"2026-10-12","cited_by_count":0,"area":"wm"}],"next_cursor":"100"}