{"total":57,"rows":[{"id":"2606.02800","title":"Cosmos 3: Omnimodal World Models for Physical AI","created":"2026-06-01","cited_by_count":165,"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":"2607.04434","title":"RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies","created":"2026-07-05","cited_by_count":40,"area":null},{"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":"2606.01955","title":"WALL-WM: Carving World Action Modeling at the Event Joints","created":"2026-06-01","cited_by_count":17,"area":"wm"},{"id":"2606.14048","title":"WAM4D: Fast 4D World Action Model via Spatial Register Tokens","created":"2026-06-12","cited_by_count":15,"area":"wm"},{"id":"2607.05468","title":"Learning 4D Geometric Priors for Inference-Efficient World Action Models","created":"2026-07-06","cited_by_count":15,"area":"wm"},{"id":"2606.13674","title":"RepWAM: World Action Modeling with Representation Visual-Action Tokenizers","created":"2026-06-11","cited_by_count":13,"area":"wm"},{"id":"2606.20562","title":"MemoryWAM: Efficient World Action Modeling with Persistent Memory","created":"2026-06-18","cited_by_count":13,"area":"wm"},{"id":"2608.26103","title":"Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization","created":"2026-08-26","cited_by_count":13,"area":"wm"},{"id":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"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":"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":"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":"2608.30237","title":"Motus2: A Self-Evolving General World Model for Dexterous Manipulation","created":"2026-08-31","cited_by_count":9,"area":"wm"},{"id":"2606.10363","title":"HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation","created":"2026-06-09","cited_by_count":8,"area":"wm"},{"id":"2607.04927","title":"DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation","created":"2026-07-06","cited_by_count":8,"area":"wm"},{"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":"2605.27947","title":"SANTS: A State-Adaptive Scheduler for World Action Models","created":"2026-05-27","cited_by_count":7,"area":"wm"},{"id":"2607.17454","title":"Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation","created":"2026-07-20","cited_by_count":6,"area":"wm"},{"id":"2607.24744","title":"Data Pyramid for Embodied Manipulation: A Survey","created":"2026-07-27","cited_by_count":6,"area":null},{"id":"2608.01880","title":"World Action Models in Real Time: An Empirical Study of Smooth Execution via Asynchronous Deployment","created":"2026-08-03","cited_by_count":6,"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":"2606.18375","title":"PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation","created":"2026-06-16","cited_by_count":4,"area":"wm"},{"id":"2606.27374","title":"World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays","created":"2026-06-25","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":"2608.20430","title":"RISE: Adaptive Imagination for World Action Models","created":"2026-08-20","cited_by_count":4,"area":"wm"},{"id":"2609.00188","title":"ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training","created":"2026-08-31","cited_by_count":4,"area":"wm"},{"id":"2606.09457","title":"$\\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models","created":"2026-06-08","cited_by_count":3,"area":"wm"},{"id":"2608.05674","title":"JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment","created":"2026-08-06","cited_by_count":3,"area":"vla"},{"id":"2608.10780","title":"StageWAM: Joint-Embedding Stage Prediction for World-Action Models in Robot Manipulation","created":"2026-08-11","cited_by_count":3,"area":"wm"},{"id":"2608.22403","title":"LD4WAM: Learning Latent Dynamics from Human Videos for World Action Models","created":"2026-08-23","cited_by_count":3,"area":"wm"},{"id":"2606.22136","title":"Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data","created":"2026-06-20","cited_by_count":2,"area":"wm"},{"id":"2608.01381","title":"DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation","created":"2026-08-02","cited_by_count":2,"area":"wm"},{"id":"2609.11561","title":"Memory as Plans: World-Action Modeling with Memory-Grounded Planning","created":"2026-09-10","cited_by_count":2,"area":"wm"},{"id":"2609.15570","title":"DIDO: Distilling Interaction-Centric Dynamics into One-Step Denoising for World Action Models","created":"2026-09-14","cited_by_count":2,"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":"2610.02054","title":"UniWAM: Unified World-Action Model","created":"2026-10-01","cited_by_count":1,"area":"wm"},{"id":"2607.05469","title":"Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2608.06994","title":"Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models","created":"2026-08-07","cited_by_count":0,"area":"wm"},{"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":"2609.19974","title":"MaskHarness-WAM: Instance-Grounded Harnessing for Long-Horizon Robot Manipulation","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.21449","title":"ME-Dex 1.0: Bringing Heterogeneous Tactile Sensing into World Action Modeling","created":"2026-09-18","cited_by_count":0,"area":"wm"},{"id":"2609.24048","title":"What Matters in Designing World Action Models: An Empirical Study","created":"2026-09-21","cited_by_count":0,"area":"wm"},{"id":"2609.25322","title":"JAMB: Joint Action-Motion Diffusion for Bimanual Manipulation","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2609.25961","title":"An Action Is Worth One Patch: Unified World-Action Modeling with PatchWAM","created":"2026-09-22","cited_by_count":0,"area":"wm"},{"id":"2609.33030","title":"What Must a World Model Distinguish for Planning?","created":"2026-09-26","cited_by_count":0,"area":"wm"},{"id":"2609.33575","title":"SLIP-VLA: Single-Step Latent Imagination for Policy Learning in Vision-Language-Action Models","created":"2026-09-27","cited_by_count":0,"area":"vla"},{"id":"2609.36471","title":"Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunks","created":"2026-09-29","cited_by_count":0,"area":"wm"},{"id":"2610.06235","title":"Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.10270","title":"Video Prediction Policy 2: Predict Better, Act Better","created":"2026-10-07","cited_by_count":0,"area":"wm"},{"id":"2610.11401","title":"WAM-Cache: Staleness-Bounded KV Reuse for Efficient World Action Models","created":"2026-10-08","cited_by_count":0,"area":"wm"},{"id":"2610.18447","title":"Thinker-WM: A Unified World Model with Shared Multimodal Representations for Embodied Intelligence","created":"2026-10-13","cited_by_count":0,"area":"wm"},{"id":"2610.18697","title":"UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models","created":"2026-10-13","cited_by_count":0,"area":"wm"}],"next_cursor":null}