{"total":56,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744,"area":"wm"},{"id":"2212.09748","title":"Scalable Diffusion Models with Transformers","created":"2022-12-19","cited_by_count":6054,"area":"wm"},{"id":"2501.03575","title":"Cosmos World Foundation Model Platform for Physical AI","created":"2025-01-07","cited_by_count":864,"area":"wm"},{"id":"2309.17080","title":"GAIA-1: A Generative World Model for Autonomous Driving","created":"2023-09-29","cited_by_count":637,"area":"wm"},{"id":"2404.08471","title":"Revisiting Feature Prediction for Learning Visual Representations from Video","created":"2024-02-15","cited_by_count":531,"area":"wm"},{"id":"2602.15922","title":"World Action Models are Zero-shot Policies","created":"2026-02-17","cited_by_count":465,"area":"wm"},{"id":"2501.09686","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","created":"2025-01-16","cited_by_count":293,"area":"wm"},{"id":"2207.05844","title":"Wayformer: Motion Forecasting via Simple & Efficient Attention Networks","created":"2022-07-12","cited_by_count":280,"area":"wm"},{"id":"2210.13312","title":"Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs","created":"2022-10-24","cited_by_count":220,"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":"2405.15223","title":"iVideoGPT: Interactive VideoGPTs are Scalable World Models","created":"2024-05-24","cited_by_count":146,"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":"2311.01017","title":"Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion","created":"2023-11-02","cited_by_count":106,"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":"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":"2601.03782","title":"PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation","created":"2026-01-07","cited_by_count":82,"area":"wm"},{"id":"2412.09627","title":"Doe-1: Closed-Loop Autonomous Driving with Large World Model","created":"2024-12-12","cited_by_count":51,"area":"wm"},{"id":"2305.18499","title":"Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning","created":"2023-05-29","cited_by_count":45,"area":"wm"},{"id":"2509.18428","title":"Latent Action Pretraining Through World Modeling","created":"2025-09-22","cited_by_count":24,"area":"wm"},{"id":"2411.04434","title":"Scaling Laws for Pre-training Agents and World Models","created":"2024-11-07","cited_by_count":23,"area":"wm"},{"id":"2504.16693","title":"PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation","created":"2025-04-23","cited_by_count":22,"area":"wm"},{"id":"2503.04416","title":"Learning Transformer-based World Models with Contrastive Predictive Coding","created":"2025-03-06","cited_by_count":20,"area":"wm"},{"id":"2403.07944","title":"WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs","created":"2024-03-10","cited_by_count":15,"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":"2410.00564","title":"Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining","created":"2024-10-01","cited_by_count":14,"area":"wm"},{"id":"2602.01576","title":"Generative Visual Code Mobile World Models","created":"2026-02-02","cited_by_count":13,"area":"wm"},{"id":"2606.03188","title":"GeoSem-WAM: Geometry- and Semantic-Aware World Action Models","created":"2026-06-02","cited_by_count":11,"area":"wm"},{"id":"2503.00653","title":"Discrete Codebook World Models for Continuous Control","created":"2025-03-01","cited_by_count":9,"area":"wm"},{"id":"2603.16177","title":"The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data","created":"2026-03-17","cited_by_count":9,"area":"wm"},{"id":"2606.16533","title":"Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI","created":"2026-06-15","cited_by_count":9,"area":"wm"},{"id":"2505.12489","title":"Video-GPT via Next Clip Diffusion","created":"2025-05-18","cited_by_count":8,"area":"wm"},{"id":"2507.13340","title":"Latent Policy Steering with Embodiment-Agnostic Pretrained World Models","created":"2025-07-17","cited_by_count":8,"area":"wm"},{"id":"2603.00466","title":"DreamWorld: Unified World Modeling in Video Generation","created":"2026-02-28","cited_by_count":7,"area":"wm"},{"id":"2211.13051","title":"Powderworld: A Platform for Understanding Generalization via Rich Task Distributions","created":"2022-11-23","cited_by_count":6,"area":"wm"},{"id":"2509.24559","title":"Emergent World Representations in OpenVLA","created":"2025-09-29","cited_by_count":6,"area":"wm"},{"id":"2505.09074","title":"Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives","created":"2025-05-14","cited_by_count":5,"area":"wm"},{"id":"2607.06401","title":"A Definition and Roadmap for World Models","created":"2026-07-07","cited_by_count":5,"area":"wm"},{"id":"2607.12474","title":"From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery","created":"2026-07-14","cited_by_count":4,"area":"wm"},{"id":"2405.17039","title":"BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation","created":"2024-05-27","cited_by_count":3,"area":"wm"},{"id":"2605.30346","title":"YoCausal: How Far is Video Generation from World Model? A Causality Perspective","created":"2026-05-28","cited_by_count":3,"area":"wm"},{"id":"2606.00499","title":"OptiWorld: Optimal Control for Video World Generation under Physical Constraints","created":"2026-05-30","cited_by_count":2,"area":"wm"},{"id":"2607.19876","title":"KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding","created":"2026-07-22","cited_by_count":2,"area":"wm"},{"id":"2605.06337","title":"Earth-o1: A Grid-free Observation-native Atmospheric World Model","created":"2026-05-07","cited_by_count":1,"area":"wm"},{"id":"2605.07199","title":"Three-in-One World Model: Energy-Based Consistency, Prediction, and Counterfactual Inference for Marketing Intervention","created":"2026-05-08","cited_by_count":1,"area":"wm"},{"id":"2606.31399","title":"World-Model Collapse as a Phase Transition","created":"2026-06-30","cited_by_count":1,"area":"wm"},{"id":"2608.17209","title":"Teach and Grow: An Agent-Centered Architecture for General Robot Learning","created":"2026-08-17","cited_by_count":1,"area":"wm"},{"id":"2608.27406","title":"CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators","created":"2026-08-27","cited_by_count":1,"area":"wm"},{"id":"2504.03861","title":"Improving World Models using Deep Supervision with Linear Probes","created":"2025-04-04","cited_by_count":0,"area":"wm"},{"id":"2512.02419","title":"The brain-AI convergence: Predictive and generative world models for general-purpose computation","created":"2025-12-02","cited_by_count":0,"area":"wm"},{"id":"2602.01644","title":"From Perception to Action: Spatial AI Agents and World Models","created":"2026-02-02","cited_by_count":0,"area":"wm"},{"id":"2605.08578","title":"Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari","created":"2026-05-09","cited_by_count":0,"area":"wm"},{"id":"2606.17391","title":"NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama","created":"2026-06-16","cited_by_count":0,"area":"wm"},{"id":"2607.17269","title":"An Explicit World Model Based on Data-First Ontology: DaoQL Multimodal Storage Validation and Counterfactual Reasoning Evaluation","created":"2026-07-19","cited_by_count":0,"area":"wm"},{"id":"2610.10515","title":"RoboJEPA: Scaling Robotic Latent World Models","created":"2026-10-07","cited_by_count":0,"area":"wm"},{"id":"2610.12235","title":"Language Models as AI Research World Models","created":"2026-10-08","cited_by_count":0,"area":"wm"},{"id":"2610.12464","title":"What 30,000 Hours of Ego-centric Video Does Not Teach","created":"2026-10-08","cited_by_count":0,"area":"wm"}],"next_cursor":null}