Latent World Models

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Latest papers 196

50 papers in the last four weeks, up 194% on the four weeks before. 0.3% of all new papers.

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Order-Consistent Latent Geometry for Reliable Short-Horizon Planning in World Models
Oct 13, 2026Junlin Wu, Wen Fan, Dandan ZhangWorld Model-Based Planning Latent World Models
Imperial College London, London, United Kingdom
WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction
Oct 13, 2026Haomin Wang, Anqiong Ji, Ke Wang +4World Models for Robotics World Action Models
AutoLab, School of Artificial Intelligence, Shanghai Jiao Tong University · Baidu AI Cloud · Awaken Robotics +1
PRB-WM: Physics-Regularized Beta World Models for Predictive Link Adaptation on Real Time-Varying Underwater Acoustic Channels
Oct 12, 2026Shengjie Zhong, Zhongliang Zhao, Jingxuan Chen +5Wireless Communications Latent World Models
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China · Department of Strategic and Advanced Interdisciplinary Research, Peng Cheng Laboratory · Hangzhou International Innovation Institute, Beihang University, Hangzhou +8
World Modeling through Spectral Alignment
Oct 11, 2026Holger Molin, William Peng, Marco Bagatella +1World Model Learning Latent World Models
Stanford University · ETH Zürich · Brown University
LeHami: Symplectic Latent Dynamics for World Models
Oct 11, 2026Romina Yalovetzky, Randall Balestriero, Yann LeCunLatent Dynamics Modeling Latent World Models
Courant Institute, New York University · Brown University · AMI Labs
Latent World Action Model for GUI Agents
Oct 9, 2026Seungjun Yu, Hojun Choi, Seojeong Park +2World Models Action-Conditioned World Models
Korea Advanced Institute of Science and Technology (KAIST)
SmolWAM: A Latent World-Action Model for Robotic Manipulation on Edge Devices
Oct 9, 2026Timi Owolabi, Hikmah Olawore, Frances Adelakun +1World Models for Robotics World Action Models
ML Collective
When Generative Models Act as Simulators
Oct 9, 2026Sevan Brodjian, Michael Hobley, Pietro PeronaGenerative Modeling Latent World Models
California Institute of Technology
LeWAM: A JEPA World Action Model with Diffusion-Steering-Based MPC
Oct 8, 2026Shashank Hegde, Alexander Popov, Elie Aljalbout +1World Action Models Latent World Models
NVIDIA
LiteNWM: Efficient Latent World Models for Onboard Visual Navigation in the Wild
Oct 8, 2026Linkai Liu, Yuntian Zhang, Zhenshan Bing +5Robot Navigation Latent World Models
Nanjing University · Imperial College London · Sony AI +1
SplitJEPA: Learning Invariant and Variant Latent Worlds without Reconstruction
Oct 8, 2026Ruijin Hua, Zichuan Liu, Zhuokai Zhao +1Representation Learning Invariant Representation Learning
University of Illinois Urbana-Champaign · Carnegie Mellon University · University of Chicago
PLaW-VLA: Predictive Latent World Modeling for Vision-Language-Action Policies
Oct 8, 2026Yu Liu, Hetian Guo, Tianlv Huang +11Vision-Language-Action Models Latent World Models
Jilin University · Astribot · Harbin Institute of Technology, Shenzhen +2
Right Screen, Wrong Transition: World Models as Verifiers for GUI Agents
Oct 8, 2026Jiaming Zhang, Xuan Wang, Fuyao Zhang +3AI Agent Monitoring Latent World Models
Nanyang Technological University · Institute of Science Tokyo · Sony AI
RoboJEPA: Scaling Robotic Latent World Models
Oct 7, 2026Artem Zholus, Nicolas Beltran-Velez, Jianhao Yuan +9World Models Latent World Models
FAIR at Meta · Chandar Research Lab · Mila - Quebec AI Institute +2
Sparse Planning in Visual World Models via Cost Gradients
Oct 7, 2026Yingchen Xu, Edward GrefenstetteWorld Model-Based Planning Token Pruning
University College London
DSReg: Provably Recovering Individual World Latents without Reconstruction
Oct 7, 2026Yujia Zheng, David Klindt, Randall Balestriero +1Representation Identifiability Latent World Models
University of Illinois Urbana-Champaign · Cold Spring Harbor Laboratory · Brown University +2
SearchWorld: Spatial Value-Grounded Imagination for UAV Object Search via World Models
Oct 7, 2026Yatai Ji, Zhengqiu Zhu, Yong Zhao +5World Model-Based Planning World Model Learning
National Key Laboratory of Digital Intelligent Modeling and Simulation, National University of Defense Technology · College of Systems Engineering, National University of Defense Technology · Aerospace Information Research Institute, Chinese Academy of Sciences +2
EpicWorldModel: Exploration-driven Planning with Latent World Models
Oct 5, 2026Bowen Feng, Julian Ost, May Mei +2Partially Observable RL World Model-Based Planning
Princeton University · Torc Robotics
When Low Prediction Error Misleads Planning: Diagnosing Representation, Dynamics, and Decision Failures in Latent World Models
Oct 4, 2026Rui Min, Xianyao Li, Fang Xu +1World Model-Based Planning Action-Conditioned World Models
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611, USA · Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USA
BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series
Oct 4, 2026Yue Li, Kangqi Ni, Zhen Tan +1Multivariate Time Series Forecasting Latent Dynamics Modeling
Carnegie Mellon University · University of North Carolina at Chapel Hill · Stevens Institute of Technology
How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models
Oct 4, 2026Lama Moukheiber, Haotian Xue, Yongxin ChenWorld Model-Based Planning Long-Horizon Planning
Georgia Institute of Technology
Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models
Oct 1, 2026Efstathios Karypidis, Spyros Gidaris, Nikos KomodakisVideo Prediction Predictive Representation Learning
Archimedes, Athena Research Center, Greece · National Technical University of Athens · University of Crete +1
Supervise What Decides Success: Criterion-Aligned Auxiliary Losses for Latent World-Model Planning
Oct 1, 2026Takumi Hara, Kanata SuzukiWorld Model Learning World Models for Robotics
Kyoto University Kyoto, Japan · Fujitsu Limited Kanagawa, Japan
CF-JEPA: Improving Robustness of JEPA World Models via Controllability Factorization
Sep 30, 2026Morgan Byrd, Robert Wright, Sehoon HaRepresentation Learning Representation Collapse
Georgia Institute of Technology, Atlanta, GA, 30308, USA · Georgia Tech Research Institute, Atlanta, GA, 30308, USA
Social-WM: Safety-Aware Latent World Models for Robot Social Navigation
Sep 30, 2026Zhihao Zheng, Mooi Choo ChuahWorld Models for Robotics World Model-Based Planning
Computer Science and Engineering department, P.C. Rossin College of Engineering and Applied Science, Lehigh University, Bethlehem, PA 18015, USA.
The Planning Limits of Latent World Models
Sep 30, 2026Ali Alrasheed, Basim Azam, Naveed AkhtarWorld Model-Based Planning Action-Conditioned World Models
The University of Melbourne, Australia
MEND: Label-Free Detection, Localisation, and Correction of Latent Hallucination in World Models
Sep 30, 2026Ali J Alrasheed, Aryan Yazdan Parast, Basim Azam +2Hallucination Detection Latent World Models
University of Melbourne Melbourne, Australia · Monash University Melbourne, Australia
Beyond a single latent space: a dual-latent world model for long-horizon planning
Sep 29, 2026Delin Zhao, Zhengrong Yue, Shaobin Zhuang +6World Model-Based Planning Action-Conditioned World Models
Nanjing University · Shenzhen University of Advanced Technology · Shanghai Jiao Tong University +1
Anisotropic Representations Improve Planning in JEPA World Models
Sep 29, 2026Mingu Kang, Yoori Oh, Sookyung Kim +1Representation Learning World Model-Based Planning
Seoul National University · Ewha Womans University
Do-JEPA: From Masking to Intervention in Latent World Models
Sep 29, 2026Hossein Resani, Javen Qinfeng ShiCausal Effect Estimation Causal World Models
Australian Institute for Machine Learning, Adelaide University · Responsible AI Research Centre

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Order-Consistent Latent Geometry for Reliable Short-Horizon Planning in World Models

Junlin Wu, Wen Fan, Dandan Zhang

Imperial College London, London, United Kingdom

World Model-Based Planning Latent World Models Neural Representation Geometry

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Latent planners often rank candidate action sequences by terminal Euclidean distance to a goal latent. Exact agreement with transition distance would make this score ideal, but is stronger than planning requires: along a transition-shortest rollout, the essential requirement is that latent distance does not reverse true transition progress. We show that this pathwise no-reversal requirement is precisely the classical self-approaching condition. To the best of our knowledge, we are the first to identify self-approachingness as a planner-facing compatibility condition for terminal Euclidean latent planning and to connect its violation to an exact finite-horizon candidate-order reversal. Because visual world models predict discrete latent sequences, we analyze their polygonal interpolation. We prove that an acute bend creates a nonempty region in which terminal Euclidean distance ranks a transition-worse candidate ahead of one that makes genuine progress, even under exact rollouts. We further interpret latent dimension as angular capacity through a classical spherical-code bound. A controlled six-branch experiment, including a zero-padded three-dimensional baseline, validates the predicted ordering failure and separates angular arrangement from ambient dimensionality.