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13 papers in the last four weeks, up 44% on the four weeks before. 0.2% of all new papers.

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  1. Auditing Action Settlement in LLM Agent Environments: Order, Progress, and Replay

    Oct 1, 2026Haotian Chen, Bowen Ye, Yuning Zhang +1Large Language Model AgentsContracts

    School of Cyber Science and Technology, University of Science and Technology of China · School of Education, Shanghai Jiao Tong University · SWJTU-Leeds Joint School, Southwest Jiaotong University

  2. Replay on Demand: An Emergent Curriculum for Balancing Adaptation and Forgetting in Continued Pretraining

    Sep 30, 2026Lukas Thede, Shengzhuang Chen, Stefan Winzeck +3ReplayPretraining

    University of Tübingen, Tübingen AI Center · Helmholtz Munich · Munich Center for Machine Learning (MCML) +3

  3. Forking: Sudden Overfitting Under Replay

    Sep 30, 2026Shanbin Yu, Shaoyang Guo, Haoran Zhao +2OverfittingCatastrophic Forgetting

    MetaCircle (元环智能) · Tsinghua University · Peking University +1

  4. Can Computation from Earlier Problems Help LLMs Solve New Ones?

    Sep 30, 2026Jipei He, Wenhui Tan, Xiaoyi Yu +4LLM Reasoning StrategiesReplay

    Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China · University of Modena and Reggio Emilia, Italy

  5. FAER: Auditable Utility-Aligned Trajectory Replay for Language Model Post-Training

    Sep 30, 2026Miaobo Hu, Shuhao Hu, Xiaobo Guo +5ReplayResponses

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

  6. ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning

    Sep 30, 2026Sungmin Kang, Zhengzhong Tu, Sunwoo LeeFederated LearningCatastrophic Forgetting

    Texas A&M University · Inha University

  7. VStress: Correlation-Aware Auditing and Adaptive Budget Allocation for Repeated Verifiers

    Sep 29, 2026Miaobo Hu, Shuhao Hu, Xiaobo Guo +5Verification FrameworkStress Testing

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

  8. ReplayLens: Auditing Agents' Use of Outcomes

    Sep 28, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +5ReplayInteraction History

    School of Artificial Intelligence, Shenzhen University · EasternDawn · School of Computer Science, University of Nottingham Ningbo

  9. Reliable Replay through Spatial Coherence in Online Continual Learning

    Sep 27, 2026Haixiang Sun, Jiefu Zhang, Yinghao He +4Prioritized Experience ReplayReplay-Based Continual Learning

    Purdue University West Lafayette, IN 47907, USA

  10. Just Let Linear States Forget the Distant Past: Prefix Caching via Suffix Replay for Hybrid LLMs

    Sep 27, 2026Yirui Liu, Ruoling Qi, Xuaner Wu +6Kimi Delta AttentionCache

    Institute of Artificial Intelligence, China Telecom (TeleAI) China · Shanghai Jiao Tong University · Individual Researcher +1

  11. Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs

    Sep 16, 2026Zimu XuRecurrent StateReplay

    University of Bern

  12. ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks

    Sep 16, 2026Jeonghye Kim, Minseon Kim, Young Jin Kim +5Coding AgentsSoftware Engineering

    KAIST · Microsoft Research Montréal · Microsoft AI

  13. Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning

    Sep 16, 2026Everest Yang, Skye Thompson, George D. KonidarisModel-Based Reinforcement LearningOffline Reinforcement Learning

    Brown University, Providence, RI, USA

  14. Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache

    Sep 14, 2026Frank LiCacheReplay

    UNSW Sydney

  15. VRL-Bench: Benchmarking agents on computer control tasks under finite trial budgets

    Sep 14, 2026Yu Bai, Yukai Miao, Dawei Wang +8Offline Reinforcement LearningStochastic Exploration

    Zhongguancun Laboratory · Tsinghua University · Network Management Center, China Mobile

  16. Improving 5G AI-RAN MCS Selection by Predicting Retransmissions

    Sep 10, 2026Tamerlan Aghayev, Maxime Elkael, Michele Polese +5Open Radio Access NetworksHip-Lora

    Institute for Intelligent Networked Systems, Northeastern University, Boston, MA, U.S.A. · SoftBank Research Institute of Advanced Technology, Tokyo, Japan

  17. Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

    Sep 9, 2026Aaron CerossSubgroupsRetraining

    Birmingham Law School, University of Birmingham

  18. Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO

    Sep 3, 2026Hyun Bin Park, Du-Seong ChangReplayAgentic Search

    Department of Artificial Intelligence, Sogang University, Seoul, Republic of Korea

  19. DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions

    Sep 3, 2026Junjie Pang, Zhenzhen Xie, Haoke Han +3Digital TwinsTwins

    Qingdao University, Qingdao, China · Shandong University, Qingdao, China · Hangzhou Shujiao Technology Partnership (Limited Partnership), Hangzhou, China +1

  20. Local Chord Corruption Is Not Recognizer Replay: Structure-Matched Calibration for Chord-Conditioned Generation

    Sep 3, 2026Weiwen HuangSheet MusicAccompaniment

    Shenzhen University

  21. Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs

    Aug 31, 2026Yirui Liu, Ruoling Qi, Xuaner Wu +2Kimi Delta AttentionLinear Attention

    Institute of Artificial Intelligence, China Telecom (TeleAI) · Shanghai Jiao Tong University

  22. GramLoop: Training-Free Gram-Gated Replay for Robust Dense Prediction

    Aug 29, 2026Yang Chen, Canyu Shen, Xinzhe Rao +5Dense PredictionDinov3

    Huazhong University of Science and Technology · Tongji University · King Abdullah University of Science and Technology +2

  23. Uniform Herding: Exemplar Replay with Representation Refresh

    Aug 13, 2026Krishna SubediRetrainingReplay

    Neryva

  24. IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement Learning

    Aug 11, 2026Zefeng Liang, Jie Qiao, Ruichu Cai +2Model-Based Reinforcement LearningRegularization

    School of Computer Science, Guangdong University of Technology, Guangzhou, China · College of Science, Shantou University, Shantou, China

  25. Identifying potentiating events in evolutionary search using replay experiments

    Aug 10, 2026Austin J. Ferguson, Alexander LalejiniEvolutionary OptimizationEvolutionary Search

    Grand Valley State University, Allendale, MI, USA

  26. The Replay Gap: Static Evaluation of Model Switching in LLM Agents Scores the Wrong World

    Aug 8, 2026Ashritha GonuguntlaDeterministic ReplayReplay

    Carnegie Mellon University

  27. When Does Trace-Driven Evaluation Mislead MoE Expert Caching? Replay Semantics, Workload Contamination, and Operating Regimes

    Aug 8, 2026Yu ZhangMixture-Of-Expert InferenceExperts

    China National Chemical Equipment Co. Ltd.

  28. Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents

    Aug 6, 2026Yuanhong Jiang, Jingjie Zou, Zhenghong Lin +4Financial Strategy ResearchLedger

  29. Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay

    Aug 6, 2026Nossa IyamuReplayFrontier Models

    Independent Researcher

  30. Agentic Reinforcement Learning with Observation-Calibrated Self-Distillation

    Aug 5, 2026Yi Yang, Cong Qin, Xiaodan Liu +8Unsupervised On-Policy Self-DistillationSelf-Distillation Framework

    Meituan LongCat Interaction · Nanjing University · Peking University +3

  31. What Could the Agent See at 19:05? Generating Temporal Enterprise Scenarios from Real Research and Replaying Them to Evaluate Agents

    Aug 2, 2026Tezan Sahu, Himani AroraAgentic EvaluationsSnapshots

    Microsoft Hyderabad, India

  32. Diagnose Before You Compress: Prediction-Independent Bottleneck Witness Refinement for LLM Serving Traces

    Aug 1, 2026Liming Liu, Chao Hu, Mingfei Lu +7Large Language Model ServingWorkload

    Central South University, Changsha, China · University of Technology Sydney, Sydney, Australia · Chongqing Normal University, Chongqing, China +2

  33. Stage-Replay Divergence Follows the KV Cache: Fixed-Prefix Precision Controls and Bidirectional Cache Transplantation

    Jul 30, 2026Alexander Boesgaard LorupCacheReplay

    Openhagen

  34. MemHarness: Memory Is Reconstructed, Not Replayed

    Jul 30, 2026Rong Wu, Daocheng Fu, Licheng Wen +10Large Language Model AgentsReplay

    Zhejiang University · Shanghai Artificial Intelligence Laboratory · Fudan University +4

  35. Subtract, Transport, or Replay? Auditable Deletion from Language-Model Memory

    Jul 30, 2026Vishwajith RameshLarge Language Model MemoryDeletion

    Vy Labs, Inc.

  36. Dynamic Parameterization Is Not Dynamic Inference

    Jul 28, 2026Zongfei Li, Yuan-yih Shang, Guozhong LuoInference DynamicsReplay

  37. Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

    Jul 27, 2026Parham Mohammad Panahi, Armin Ashrafi, Haoyu Du +3Replay

    Department of Computing Science, University of Alberta, Canada · Alberta Machine Intelligence Institute (Amii) · Canada CIFAR AI Chair

  38. REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning

    Jul 21, 2026Yunjie Chen, Xiaoxin Chen, Fang WangMulti-Turn Reinforcement LearningOffline Reinforcement Learning

    vivo AI Lab, Shenzhen, China · Department of Computer Science, Sun Yat-Sen University, Guangzhou, China

  39. Rethinking Transfer in Continual Learning: A Replay-Based Realisation

    Jul 17, 2026Yang Meng, Zhenya Liu, Zhuokai Zhao +1Replay-Based Continual LearningContinual Learning

    Department of Computer Science, University of Chicago

  40. Hindcast: Replaying Prediction Markets to Evaluate LLM Forecasters

    Jul 15, 2026Xiao Ye, Jacob Dineen, Evan Zhu +3Large Language Model ForecastingForesight

    School of Computing and Augmented Intelligence, Arizona State University

  41. How Many Tasks Are Enough for Agent Benchmark Decisions? A Replay Analysis of Public LLM Agent Benchmarks

    Jul 14, 2026Wei-Jung HuangAgentic BenchmarksSwe-Bench Verified

    Independent Researcher · United States

  42. An Empirical Study for Android-to-OpenHarmony GUI Test Migration

    Jul 13, 2026Yakun Zhang, Xinjia Chen, Yiyun Chen +6DeviceEmpirical Study

    Harbin Institute of Technology, Shenzhen, China · Beijing Institute of Technology, China · Beihang University, China +1

  43. REDDIT: Forgetting-Resistant Correction of Timestamp Drift in ASR via Replay-Based Distribution Editing

    Jul 6, 2026Cheng-Kang Chou, Ming-To Chuang, Ke-Han Lu +2Automatic Speech RecognitionDense Temporal Annotation

    National Taiwan University · Carnegie Mellon University · NTU Artificial Intelligence Center of Research Excellence (NTU AI-CoRE)

  44. REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling

    Jul 3, 2026Huazhong Zhang, Xiaowen Fu, Yang Zhang +2Open-Vocabulary Object DetectionObject Detection

    Shenzhen University, Shenzhen, China

  45. Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?

    Jul 1, 2026Zhi Chen, Zhensu Sun, Yuling Shi +2Swe-Bench VerifiedCoding Agents

    Singapore Management University · Singapore, Singapore · Shanghai Jiao Tong University +1

  46. COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies

    Jun 29, 2026Chen Frydman, Aviram Zilberman, Rubin Krief +6MitigationOrchestration

    Ben-Gurion University of The Negev, Beer Sheva, Israel · Jerusalem College of Technology, Jerusalem, Israel · Fujitsu

  47. Position Rebinding Cache Reuse: Replay-Free Visual Revisiting for Interleaved Multimodal Reasoning

    Jun 25, 2026Mengzhao Wang, Yanli Ji, Wangmeng Zuo +2Multimodal ReasoningMultimodal Reasoning Benchmarks

    Sun Yat-sen University · Shenzhen Loop Area Institute · Harbin Institute of Technology (HIT) +3

  48. Local Pheromone Network: Sparse Local Learning with Multi-Scale Synaptic Trails, Consolidation, and Replay

    Jun 22, 2026Xingcheng Fu, Xianjun Chen, Zhihao LiHebbian LearningSynaptic Plasticity

  49. Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents

    Jun 22, 2026Aman Mehta, Anupam DattaLarge Language Model AgentsLong-Term Agent Memory

    Snowflake AI Research

  50. OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals

    Jun 19, 2026Hongxu Su, Jianzhu Yao, Huan Zhang +2Artificial Intelligence SystemsReplay

    HKUST (GZ), Guangzhou, China · Princeton University, Princeton, NJ, USA · University of Illinois Urbana-Champaign, Urbana, IL, USA

  51. PreAct: Computer-Using Agents that Get Faster on Repeated Tasks

    Jun 16, 2026Bojie LiComputer-Use AgentsReplay

    Pine AI

  52. SEAGym: An Evaluation Environment for Self-Evolving LLM Agents

    Jun 16, 2026Congjie Zheng, Chuanyi Xue, Bin Liang +2Self-Evolving AgentsAgent Harness

    Department of Automation, Tsinghua University, Beijing, 100084, China · Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China

  53. Continual Online Personalization of Exoskeleton Control via Manifold-Aware Experience Replay

    Jun 16, 2026Changseob Song, Inseung KangExoskeletonGait Dynamics

    Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA

  54. Re-feeding Is Not Replaying: Measuring Replay Noise in Counterfactual Token-Credit Estimation

    Jun 14, 2026Nils MattesonReplayTranscript

    Northeastern University

  55. Replay What Matters: Off-Policy Replay for Efficient LLM Reinforcement Unlearning

    Jun 13, 2026Zirui Pang, Chenlong Zhang, Haosheng Tan +3Large Language Model UnlearningLarge Language Model Reinforcement Learning

    The Hong Kong University of Science and Technology (Guangzhou) · Institute of Automation, Chinese Academy of Sciences · University of Glasgow

  56. When Good Verifiers Go Bad: Silent Negative Transfer in Verifier-Guided VLM Training

    Jun 12, 2026Jianzhe LinVerification FrameworkSelf-Verification

    MetaAI · Work done at Meta

  57. GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge

    Jun 12, 2026Pavan C Shekar, Abhishek H S, Aswanth KrishnanReplay

    QpiAI, Bengaluru, India

  58. Echo-Memory: A Controlled Study of Memory in Action World Models

    Jun 8, 2026Wayne King, Zeyue Xue, Yuxuan Bian +13ReplayWorld Models

    The University of Hong Kong · Joy Future Academy, JD · The Chinese University of Hong Kong +5

  59. One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability

    Jun 7, 2026Bhavith Chandra Challagundla, Sanskar Pandey, Param Thakkar +7World ModelsMany Worlds

    New York University · Independent Researcher · Veermata Jijabai Technological Institute +5

  60. Rollout-Level Advantage-Prioritized Experience Replay for GRPO

    Jun 3, 2026Gyeongtae Yoo, Sanghyeok Park, Soohyuk Jang +2Parallel RolloutsReplay

    Department of Electrical and Computer Engineering, Seoul National University · Interdisciplinary Program in AI, Seoul National University · AIIS, ASRI, INMC, and ISRC, Seoul National University