Next-State Prediction

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8 papers in the last four weeks, up 14% on the four weeks before. 0.1% of all new papers.

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  1. Generative sequence modeling for infinite memory processes via predictive states

    Sep 29, 2026Michael Wieck-Sosa, Cosma Rohilla ShaliziNext-State PredictionSequence Modeling

    Department of Statistics & Data Science Carnegie Mellon University

  2. From World Models to World Action Models: Rethinking Next-State Prediction

    Sep 28, 2026Tingyu Yuan, Ziming Ji, Biaoliang Guan +9Efficient World-Action ModelWorld Models

    CASIA · UCAS · BUPT +4

  3. GradLev: Token-Parallel Test-Time Training Via Costate Prediction

    Sep 28, 2026Bo Liu, Qiang LiuTest-Time TrainingInference-Time

    The University of Texas at Austin

  4. Does Learning to Predict the World Help Agents Act? Auditing World-Model Post-Training

    Sep 27, 2026Xinyu Che, Hang Yan, Yanchen Liu +5Next-State PredictionWorld Models

    Xi’an Jiaotong University · University of Southern California · University of the Chinese Academy of Sciences +1

  5. Spiking Neural Network Predicting Sequence of the External Worlds States in Model-Based Reinforcement Learning

    Sep 23, 2026Mikhail KiselevSpiking Neural NetworksNext-State Prediction

    Chuvash State University, Cheboxary, Russia

  6. Risk-Aware Online Conformal State Probing

    Sep 22, 2026Pietro Talli, Petar Popovski, Osvaldo SimeoneAutonomous AgentsStochastic Exploration

    Institute for Intelligent Networked Systems, Northeastern University London · Connectivity Section, Department of Electronic Systems, Aalborg University

  7. When Should a World Model Move? Loss-Conditioned State Execution

    Sep 14, 2026Jintao Xu, Zhengyu Chen, Ben Zhang +2Next-State PredictionFeasibility

    Supply Chain Tech Team Y, JD.com

  8. FARM: Reading Failure Signals from the Internal Predictive States of a Frozen Robotic World Model

    Sep 11, 2026Haoran Pei, Mingrui Luo, Senbao Wang +4Early Failure PredictionNext-State Prediction

    Institute of Automation, Chinese Academy of Sciences, Beijing, China · Harbin Institute of Technology, Harbin, China

  9. Leveraging contextual events on structure-aware next activity prediction

    Sep 8, 2026Alessandro Mele, Claudia Diamantini, Domenico PotenaNext-State PredictionContext-Awareness

    Department of Information Engineering, Polytechnic University of Marche, Ancona, Marche, Italy

  10. WorldAgen: Unified State-Action Prediction with Test-Time World Model Training

    Sep 8, 2026Chi Wan, Kangrui Wang, Yuan Si +2Efficient World-Action ModelDiffusion-Based Vision-Language-Actions

    Northwestern University

  11. A Two-Stage Framework for Ego-Centric Key Object Identification via Object State Prediction

    Sep 7, 2026Shihong Ling, Yue Wan, Xiaowei Jia +1Autonomous DrivingNaturalistic Driving Data

    School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, USA

  12. How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account

    Aug 30, 2026Ruize Xu, Xiao Yu, Yujin Tang +2Large Language Model AgentsWorld Models

    Dartmouth College · Columbia University

  13. Orthogonal JEPA: Factorized Predictive States for Latent World Models

    Aug 20, 2026Taoyong Cui, Pheng Ann Heng, Wanli OuyangJoint-Embedding Predictive ArchitecturesNext-State Prediction

    The Chinese University of Hong Kong (CUHK)

  14. Predictive Allostatic Organization in Recurrent and Spiking Agents Under Partial Observability

    Aug 11, 2026Frederick HayesNext-State PredictionPartial Observability

    Independent Researcher San Antonio, Texas, USA

  15. MemWM: Memory-Augmented Text-Based World Model

    Aug 7, 2026Yujun Wang, Tao Zhang, Jinhe Bi +9World ModelsNext-State Prediction

    LMU Munich · Munich Center for Machine Learning (MCML) · Huawei Heisenberg Research Center +4

  16. SR-JEPA: Learning Predictive Latent State in 3D Scenes

    Aug 6, 2026Zihan Zhou, Qifu Wen, Xi ZengNext-State PredictionLatent Variable

    Boston University, Boston, MA, USA · Shanghai Jiao Tong University, Shanghai, China

  17. Predict, Then Retrieve: Cross-Instance Future-State Retrieval from Video Prefixes

    Aug 5, 2026Quynh Vo, Thong Nguyen, Vinh-Hien Do +2Future Video PredictionNext-State Prediction

    Centre for AI Research, VinUniversity · National University of Singapore

  18. Predictive Set Theory: A Generative Framework for Cognitive Architecture with Operationalized Core Mechanisms

    Aug 3, 2026Yiyang YuPredictive CodingCognitive Science

  19. Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Models

    Aug 1, 2026Yibin DongClosureNext-State Prediction

    Shandong University

  20. One Future, Every Robot: Label-Efficient Collective-State Prediction with Decentralized JEPA

    Jul 30, 2026Alan-Barsag Gazzaev, Alexey Gavrilov, Sergey MuravyovNext-State PredictionVideo Joint Embedding Predictive Architecture

    ITMO University, Saint Petersburg, Russia.

  21. SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction

    Jul 17, 2026Xue Yu, Bo Yuan, Kailin Zhao +3Graphical User Interface AgentsProbabilistic Safety

    JIUTIAN Research

  22. MoP-JEPA: Hard-Assigned Predictor Mixtures for Stochastic JEPA World Models

    Jul 6, 2026Zhi Song, Ximing Xing, Zhenchao Tang +8Next-State PredictionWorld Model Planning

    City University of Hong Kong, China · Tencent, China

  23. The State-Prediction Separation Hypothesis

    Jul 1, 2026Giovanni Monea, Nathan Godey, Kianté Brantley +1Transformer ArchitecturesNext-State Prediction

    †Cornell University · ⋄Harvard University

  24. Beyond Next-Observation Prediction: Agent-Authored World Modeling for Sequential Decision Making

    Jun 24, 2026Guangfeng Cai, Kaibing Yang, Shuo He +4Next-State PredictionWorld Models

    Southeast University · Meituan

  25. Mind-Studio: Executable World Models with Lookahead Evaluation for Partially Observable Games

    Jun 14, 2026Yifei Dong, Mingen Zheng, Linquan Wu +2World ModelsSynthetic Environments

    Hong Kong University of Science and Technology · City University of Hong Kong · University of Edinburgh +1

  26. Exposure Bias as Epistemic Underidentification in Recursive Forecasting

    Jun 11, 2026Riku Green, Zahraa S. Abdallah, Telmo M Silva FilhoNext-State PredictionDynamic Epistemic Logic

    University of Bristol, UK

  27. Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor

    Jun 9, 2026Yin Bi, Christian Conti, Bilan Yang +3Table Tennis RobotSim-To-Real Reinforcement Learning

    Sony AI, Zürich, Switzerland · Sony AI, Tokyo, Japan

  28. Predictive Assistance and the Temporal Dynamics of Exploratory Compression

    Jun 8, 2026Balaraju BattuPredictive CodingStochastic Exploration

    European University Institute, Florence, Italy · New York University Abu Dhabi, UAE

  29. STEP: Learning STructured Embeddings for Progressive Time Series

    May 29, 2026Lucas Thil, Jesse Read, Rim Kaddah +1Timestep EmbeddingsTime Series

    LIX, École Polytechnique IRT SystemX Palaiseau, France · IRT SystemX Palaiseau, France · Safran Tech Chateaufort, France

  30. Early Prediction of Future Behavioral Strategy from Process Traces

    May 28, 2026Robert Kasumba, Dennis Barbour, Chien-Ju HoBehavioral Foundation ModelsNext-State Prediction

    Division of Computational and Data Sciences Washington University in Saint Louis Saint Louis, MO 63130 · Department of Biomedical Engineering Washington University in Saint Louis Saint Louis, MO 63130 · Department of Computer Science Washington University in Saint Louis Saint Louis, MO 63130

  31. Exploratory Experience Shapes the Geometry of Predictive Representations

    May 27, 2026Kseniia Shilova, Abdelrahman Sharafeldin, Advay Balakrishnan +1Next-State PredictionStochastic Exploration

    School of Mathematics Georgia Institute of Technology Atlanta, GA 30332 · College of Computing Georgia Institute of Technology Atlanta, GA 30332

  32. Grounding Driving VLA via Inverse Kinematics

    May 20, 2026Junsung Park, Hyunjung ShimDynamic Driving ScenesTrajectory Generation

    Korea Advanced Institute of Science and Technology KimJaeChul AI Graduate School 18, Taebong-ro, Seocho-gu, Seoul, South Korea

  33. Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction

    May 19, 2026Xia Jiang, Yaoxin Wu, Yew-Soon Ong +1Neural PoliciesLong-Horizon Planning

    Eindhoven University of Technology · Nanyang Technological University · Agency for Science, Technology and Research (A*STAR)

  34. Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting

    May 16, 2026Qian Jiang, Liping SunRetrieval-Augmented ForecastingNext-State Prediction

    School of Computing · The Australian National University · Canberra, ACT 2601, Australia +3

  35. From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint

    May 15, 2026Jacques Raynal, Pierre Slangen, Elsa Raynal +1Gait DynamicsBiomechanics

    Laboratory of Bioengineering and Nanosciences (LBN), University of Montpellier, France · 2EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Alès, France · 3Certified Sophrologist and Dental Assistant, Sensorimotor Practice, Montpellier, France +1

  36. World Action Models: The Next Frontier in Embodied AI

    May 12, 2026Siyin Wang, Junhao Shi, Zhaoyang Fu +11Recent World-Action ModelsWorld Models

    1Fudan University · 2Shanghai Innovation Institute · 3National University of Singapore

  37. BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation

    May 7, 2026Richard Hildebrandt, Evangelos Kourlitis, Baran Hashemi +7Nuclear DataPhysics Simulation

    Technical University of Munich · Max-Planck Institute for Mathematics in the Sciences, Leipzig, Germany · SLAC National Accelerator Laboratory +3

  38. Predictive Spatio-Temporal Scene Graphs for Semi-Static Scenes

    Apr 30, 2026Miguel Saavedra-Ruiz, Charlie Gauthier, Kumaraditya Gupta +4Spatio-Temporal Scene GraphsSpatio-Temporal Reasoning

    Department of Computer Science and Operations Research, Universit´e de Montr´eal, Montr´eal, QC, Canada. · Mila - Quebec AI Institute, Montreal, QC, Canada. · Independent Researcher. +1

  39. What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty

    Mar 3, 2026Aran NayebiPartially Observable Markov Decision ProcessNext-State Prediction

    Machine Learning Department and Neuroscience & Robotics Institutes, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

  40. Toward Learning POMDPs Beyond Full-Rank Actions and State Observability

    Jan 26, 2026Seiji Shaw, Travis Manderson, Chad Kessens +1Partially Observable Markov Decision ProcessMarkov Decision Processes

    MIT Computer Science and Artificial Intelligence Lab, 51 Vassar St, Cambridge, MA 02139, USA · DEVCOM Army Research Laboratory 2800 Powder Mill Road, Adelphi, MD 20783, USA

  41. Why Do LLM Agents Fail in Exploring New Environments? A World-Modeling Perspective

    Oct 16, 2025Shiqi Chen, Tongyao Zhu, Zian Wang +8Large Language Model AgentsNext-State Prediction

    City University of Hong Kong · National University of Singapore · The Hong Kong Polytechnic University +5

  42. Information Thermodynamics of Agents: The Work Capacity of Channels with Memory

    Apr 8, 2025Lukas J. Fiderer, Paul C. Barth, Isaac D. Smith +1ThermodynamicsFree Energy Principle

    Universität Innsbruck, Institut für Theoretische Physik, Technikerstraße 21a, A-6020 Innsbruck, Austria

  43. Active Exploration via Autoregressive Generation of Missing Data

    May 29, 2024Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo +1Stochastic ExplorationLearning-Augmented Algorithms

    Department of Statistics Columbia University New York, NY 10025, USA · Decision, Risk, and Operations Division Columbia Business School New York, NY 10025, USA · Department of Mathematics Imperial College London London SW7 2AZ, United Kingdom

  44. From system models to class models: An in-context learning paradigm

    Aug 25, 2023Marco Forgione, Filippo Pura, Dario PigaSystem IdentificationIn-Context Learning

    IDSIA Dalle Molle Institute for Artificial Intelligence USI-SUPSI, Via la Santa 1, CH-6962 Lugano-Viganello, Switzerland.