{"total":165,"rows":[{"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":"2607.15330","title":"Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories","created":"2026-07-16","cited_by_count":29,"area":"vla"},{"id":"2607.06403","title":"From Foundation to Application: Improving VLA Models in Practice","created":"2026-07-07","cited_by_count":26,"area":"vla"},{"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":"2607.07675","title":"Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence","created":"2026-07-08","cited_by_count":15,"area":"moe"},{"id":"2608.07408","title":"Addressable Memory for Video World Models","created":"2026-08-07","cited_by_count":15,"area":"wm"},{"id":"2606.17730","title":"ActWorld: From Explorable to Interactive World Model via Action-Aware Memory","created":"2026-06-16","cited_by_count":14,"area":"wm"},{"id":"2608.23189","title":"EchoWM: Open and Enterable Omnimodal World Models","created":"2026-08-24","cited_by_count":13,"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":"2607.13960","title":"GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch","created":"2026-07-15","cited_by_count":11,"area":"wm"},{"id":"2608.10860","title":"Flex-$\\pi$: A Multi-Stream World-Action Model with Compute Flexibility","created":"2026-08-11","cited_by_count":11,"area":"wm"},{"id":"2606.28128","title":"PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation","created":"2026-06-26","cited_by_count":10,"area":null},{"id":"2606.18943","title":"Physics-IQ Verified","created":"2026-06-17","cited_by_count":9,"area":"wm"},{"id":"2609.00111","title":"Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving","created":"2026-08-31","cited_by_count":9,"area":"mllm"},{"id":"2606.23743","title":"Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation","created":"2026-06-21","cited_by_count":8,"area":"diffusion"},{"id":"2607.06988","title":"WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time","created":"2026-07-08","cited_by_count":8,"area":"wm"},{"id":"2606.18610","title":"SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation","created":"2026-06-17","cited_by_count":7,"area":"vla"},{"id":"2608.09853","title":"RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance","created":"2026-08-10","cited_by_count":7,"area":"alignment"},{"id":"2609.11929","title":"SenseNova-U1.5: Towards Native Unified Visual Intelligence","created":"2026-09-10","cited_by_count":7,"area":"distill"},{"id":"2606.30534","title":"Orca: The World is in Your Mind","created":"2026-06-29","cited_by_count":6,"area":null},{"id":"2607.22393","title":"SceneActBench: Can Agents Act on the 3D Scenes They See?","created":"2026-07-24","cited_by_count":6,"area":"mllm"},{"id":"2607.24744","title":"Data Pyramid for Embodied Manipulation: A Survey","created":"2026-07-27","cited_by_count":6,"area":null},{"id":"2608.14530","title":"Marionette: Predicting World States, Rendering Geometry, Painting Appearance","created":"2026-08-14","cited_by_count":6,"area":"wm"},{"id":"2607.04426","title":"ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI","created":"2026-07-05","cited_by_count":5,"area":"agents"},{"id":"2607.06401","title":"A Definition and Roadmap for World Models","created":"2026-07-07","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":"2606.18375","title":"PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation","created":"2026-06-16","cited_by_count":4,"area":"wm"},{"id":"2607.11643","title":"Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model","created":"2026-07-13","cited_by_count":4,"area":"wm"},{"id":"2608.19613","title":"What Matters for Latent Actions in Robot Learning","created":"2026-08-20","cited_by_count":4,"area":null},{"id":"2608.23383","title":"Long-Horizon Audio-Visual Generation for Persistent Stories and Interactive Worlds","created":"2026-08-24","cited_by_count":4,"area":"wm"},{"id":"2606.31946","title":"World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration","created":"2026-06-30","cited_by_count":3,"area":null},{"id":"2607.26657","title":"Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control","created":"2026-07-29","cited_by_count":3,"area":"wm"},{"id":"2608.23486","title":"GeoWAM: Visual Geometry World Action Models for Autonomous Driving","created":"2026-08-24","cited_by_count":3,"area":"wm"},{"id":"2608.25518","title":"Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models","created":"2026-08-26","cited_by_count":3,"area":"wm"},{"id":"2606.23991","title":"Critique of Agent Model","created":"2026-06-22","cited_by_count":2,"area":"agents"},{"id":"2607.14187","title":"RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination","created":"2026-07-15","cited_by_count":2,"area":"lr"},{"id":"2607.21072","title":"Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text","created":"2026-07-23","cited_by_count":2,"area":null},{"id":"2607.21553","title":"SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation","created":"2026-07-23","cited_by_count":2,"area":"diffusion"},{"id":"2607.28226","title":"Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation","created":"2026-07-30","cited_by_count":2,"area":"wm"},{"id":"2607.28243","title":"EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPE","created":"2026-07-30","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":"2607.29679","title":"Scaling Properties of Text Conditioning in Visual Generation","created":"2026-07-31","cited_by_count":2,"area":null},{"id":"2608.05597","title":"Uncertainty-Aware World Model for Aerial Image-Goal Navigation","created":"2026-08-06","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":"2608.14022","title":"ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models","created":"2026-08-14","cited_by_count":2,"area":"wm"},{"id":"2608.15659","title":"WorldRover: A Scalable Synthetic Video Data Engine for World Exploration with Rich Annotations","created":"2026-08-16","cited_by_count":2,"area":null},{"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":"2609.17524","title":"Modality-Autoregressive World-Action Models","created":"2026-09-15","cited_by_count":2,"area":"wm"},{"id":"2606.26095","title":"Learning Action Priors for Cross-embodiment Robot Manipulation","created":"2026-06-24","cited_by_count":1,"area":"mllm"},{"id":"2606.28385","title":"RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis","created":"2026-06-22","cited_by_count":1,"area":"wm"},{"id":"2607.25537","title":"Visual prompt engineering for video models","created":"2026-07-28","cited_by_count":1,"area":null},{"id":"2608.03682","title":"PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud","created":"2026-08-04","cited_by_count":1,"area":"deeprl"},{"id":"2608.05070","title":"HelloWorld: Enabling Socially Interactive Characters in Video World Models","created":"2026-08-05","cited_by_count":1,"area":"wm"},{"id":"2608.07693","title":"CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2608.10317","title":"From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning","created":"2026-08-10","cited_by_count":1,"area":"lr"},{"id":"2608.18484","title":"Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models","created":"2026-08-19","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":"2608.27529","title":"Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction","created":"2026-08-27","cited_by_count":1,"area":null},{"id":"2608.28718","title":"RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstruction","created":"2026-08-28","cited_by_count":1,"area":"wm"},{"id":"2609.07470","title":"Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy","created":"2026-09-07","cited_by_count":1,"area":"vla"},{"id":"2609.08368","title":"Miles v0.1: Production-Level Post-Training","created":"2026-09-08","cited_by_count":1,"area":null},{"id":"2609.15863","title":"LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows","created":"2026-09-14","cited_by_count":1,"area":"diffusion"},{"id":"2609.23184","title":"CausalWM: Causal Chain-of-Thought Reasoning for Embodied World Model","created":"2026-09-19","cited_by_count":1,"area":"wm"},{"id":"2609.24984","title":"WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory","created":"2026-09-21","cited_by_count":1,"area":"wm"},{"id":"2609.25627","title":"MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence","created":"2026-09-22","cited_by_count":1,"area":null},{"id":"2609.30247","title":"Rolling-WAM: World Action Models with Rolling Imagination","created":"2026-09-24","cited_by_count":1,"area":"wm"},{"id":"2609.38163","title":"Rethinking Representations for World-Action Modeling","created":"2026-09-29","cited_by_count":1,"area":"wm"},{"id":"2609.38597","title":"PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation","created":"2026-09-29","cited_by_count":1,"area":"mllm"},{"id":"2606.29013","title":"Mural: Transferring LLM knowledge to image generation via Mixture-of-Transformers","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2607.02604","title":"DynaWM: A Base-VLA-Guided World Foundation Model for Moving-Object Manipulation","created":"2026-07-01","cited_by_count":0,"area":"vla"},{"id":"2607.29545","title":"MoRoute: Dynamic Routing for In-Context Multimodal Video Generation","created":"2026-07-31","cited_by_count":0,"area":null},{"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":"2608.06013","title":"OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction","created":"2026-08-06","cited_by_count":0,"area":"lr"},{"id":"2608.06756","title":"Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence","created":"2026-08-07","cited_by_count":0,"area":"mllm"},{"id":"2608.09926","title":"Learning How the World Evolves: Extrapolative Video World Models via Latent Dynamics Reasoning","created":"2026-08-10","cited_by_count":0,"area":"wm"},{"id":"2608.25757","title":"LM-X: Explainable Vision--Language--Action Modeling via Progress, Event, and Uncertainty Prediction","created":"2026-08-26","cited_by_count":0,"area":null},{"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":"2608.27345","title":"PAWBench: How Far Are We from Probabilistically Aligned World Modeling?","created":"2026-08-27","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":"2609.01404","title":"Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2609.03557","title":"Building Pretraining Data for World Models: An Unreal Engine-Based Pipeline for Action-Conditioned Video Generation","created":"2026-09-03","cited_by_count":0,"area":"wm"},{"id":"2609.04196","title":"Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.06629","title":"Physico-Geospatial Grounded Scene Interpretation for Mobile Robotics","created":"2026-09-06","cited_by_count":0,"area":null},{"id":"2609.09528","title":"MotionBlind: Probing the Illusion of Motion Understanding in Video-LLMs","created":"2026-09-08","cited_by_count":0,"area":"wm"},{"id":"2609.14833","title":"One Model, Two Physical Stories: Auditing Misalignment in Multi-Modal World Modeling","created":"2026-09-13","cited_by_count":0,"area":"wm"},{"id":"2609.14973","title":"PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models","created":"2026-09-14","cited_by_count":0,"area":"mllm"},{"id":"2609.16644","title":"WholeBodyWAM: Generalizing Pre-trained World-Action Priors to Humanoid Loco-Manipulation via WBC-Grounded Coordination","created":"2026-09-15","cited_by_count":0,"area":"wm"},{"id":"2609.18077","title":"vidax: A Unified JAX Framework for Video Generative Models on Accelerator Meshes","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.18193","title":"WAVE-Go: World-Model Navigation with Adaptive Execution for Wheel-Legged Robots","created":"2026-09-16","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":"2609.19613","title":"TacSushi: Tactile-Grounded World-Action Modeling for Dexterous Sushi Manipulation","created":"2026-09-17","cited_by_count":0,"area":"wm"},{"id":"2609.19659","title":"EmbodiedMind: Adaptive Data Curation and Prefix-Tree Reinforcement Learning for Efficient Embodied Intelligence","created":"2026-09-17","cited_by_count":0,"area":"deeprl"},{"id":"2609.20709","title":"MoWAM: Explicit Future Motion Prediction for Efficient World Action Models","created":"2026-09-17","cited_by_count":0,"area":"wm"},{"id":"2609.21461","title":"AtomEgo: Exploring Ego-Robot Integration for Embodied Foundation Model Pretraining","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.21942","title":"When Should a Failing Robot Ask? Initiating Corrective Human-Robot Dialogue from Audited Sensor Evidence","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.22762","title":"DriveReferee: Geometric Safety Verdicts Need Not Be Learned for Driving World-Action Models","created":"2026-09-19","cited_by_count":0,"area":"wm"},{"id":"2609.22879","title":"Prioritized Rollouts for Efficient World Model-based Vision-Language-Action Policy Optimization","created":"2026-09-19","cited_by_count":0,"area":"wm"},{"id":"2609.23695","title":"PhysAI-Bench: A Benchmark for LLM-Based Agentic Decision-Making in Autonomous UAV-Centric Physical AI","created":"2026-09-20","cited_by_count":0,"area":"agents"},{"id":"2609.24308","title":"HappyWorld-Bench","created":"2026-09-21","cited_by_count":0,"area":"wm"},{"id":"2609.24682","title":"Think Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies","created":"2026-09-21","cited_by_count":0,"area":"wm"}],"next_cursor":"100"}