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17 papers in the last four weeks, up 143% on the four weeks before. 0.2% of all new papers.

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  1. Sequential Capacity of Quantum Processes with Finite Memory

    Oct 1, 2026Yibin WangQuantum ProcessorSingle-Photon Avalanche Diode

    Graduate School of Mathematics, Nagoya University, Nagoya, 464-8601, Aichi, Japan.

  2. Overcoming Kernel Redundancy for Scaling Logic Gate Networks

    Oct 1, 2026Sejin Park, Hongjae Lee, Changwoo Han +1Differentiable Logic Gate NetworksSequential Scaling

    Department of Electrical Engineering Korea University

  3. Admissibility-Preserving Control for Multi-Input Systems with Joint Capacity Constraints

    Sep 30, 2026Saurabh Kumar, Lohitvel Gopikannan, Shashi Ranjan Kumar +1Adaptive ControlInequality Constraints

    Intelligent Systems & Control (ISaC) Lab, Department of Aerospace Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India · Guidance, Autonomy, Learning, and Control for Intelligent Systems (GALACxIS) Lab, Department of Aerospace Engineering, University of Cincinnati, OH 45221, USA

  4. Belief-Based Maximum Occupancy Principle and Active Inference

    Sep 30, 2026Manolis Mylonas, Rubén Moreno BoteStochastic ExplorationGoal-Directed Behavior

    Center for Brain and Cognition & Department of Engineering Universitat Pompeu Fabra Barcelona, Spain

  5. Derandomizing Dense Binary Hypervector Codebooks for Quantized Scalars

    Sep 29, 2026Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2CodebooksRandom

    Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 971 87 Luleå, Sweden · Institute of Information Technologies and Systems, 03187 Kyiv, Ukraine · AI, Robotics and Cybersecurity Center (ARC) and Department of Computer Science, Örebro University, 70182 Örebro, Sweden +2

  6. TempoKV: Timely Staging of LLM KV Caches for Memory-Semantic Flash

    Sep 28, 2026Jay H. Park, Hyungjun Kim, Dong KimKv-Cache ManagementCache

    Samsung Semiconductor

  7. Boolean threshold functions, neuron capacity, and memory retrieval

    Sep 24, 2026Xinyuan XieNeuronsCombinations

  8. Codetta: High-Capacity, Keyless, and Undetectable Multi-Agent Collusion

    Sep 24, 2026Qi Pang, Virginia Smith, Wenting ZhengSteganographyCollusion

    Carnegie Mellon University

  9. Forecast Workflow Bench: Evaluating Language-Model Decisions with Budgeted Forecast Tools

    Sep 23, 2026Shunya NagashimaFrontier ModelsCapacity

    Neurogica Inc.

  10. Crossflow: Prefill-Decode Elasticity for Agentic LLM Serving

    Sep 22, 2026Yi Xu, Ehsan K. Ardestani, Wenyin Fu +7Time-To-First-TokenLarge Language Model Serving

    Meta Platforms

  11. Joint Remaining Useful Life Prediction and Capacity Estimation of Lithium-Ion Batteries Using Partial-Charging Data

    Sep 18, 2026Khoa Tran, Ho-Si-Hung Nguyen, Phone Wai Yan Moe +2Lithium-Ion BatteriesUseful Life Prediction

    Data Science Laboratory, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 70000, Vietnam · Faculty of Electrical Engineering, The University of Danang - University of Science and Technology (DUT), 54 Nguyen Luong Bang Street, Lien Chieu District, Da Nang 550000, Vietnam · AIWARE Limited Company, 17 Huynh Man Dat Street, Hoa Cuong Ward, Hai Chau District, Da Nang 550000, Vietnam +2

  12. COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads

    Sep 16, 2026Yukai Zhou, Hongfan WuInference WorkloadsFragmentation

  13. Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory

    Sep 15, 2026Yuto Sakurai, Takeaki Shimokawa, Kazunori Iwata +1Dense Associative MemoryHopfield Networks

    Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ohtsuka-higashi, Asaminami-ku, Hiroshima 731-3194, Japan · RIKEN Center for Advanced Intelligence Project and The University of Tokyo

  14. Scaling Laws for Physics-Aware ACOPF Surrogate Learning

    Sep 14, 2026Yijiang Li, Emon Dey, Stefano Fenu +3Optimal Power FlowScaling Laws

    Argonne National Laboratory Lemont, USA · Oak Ridge National Laboratory Oak Ridge, USA

  15. What an odour descriptor corpus can and cannot measure: valence, attenuation, and the ceiling of the public record

    Sep 14, 2026Stylianos Kampakis, Fabio RovaiSmellsInter-Annotator Agreement

    Tesseract Academy, London, UK

  16. AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers

    Sep 8, 2026Alexander Crosier, Kyle Onghai, Ronnie SircarData CentersArtificial Intelligence Infrastructure

    Formerly Princeton University · ORFE Department, Princeton University · ORFE Department, Bendheim Center for Finance and Andlinger Center for Energy & the Environment, Princeton University

  17. Jacap: Robust KV Cache Eviction via Jacobian-Based Nonlinear Information Capacity Preservation

    Sep 8, 2026Jiaming Yang, Chenwei Tang, Liangli Zhen +2Key-Value Cache EvictionCapacity

    College of Computer Science, Sichuan University, Chengdu, China · 2Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China · Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore

  18. MINERVA: How Small Can a Manipulation Policy Be and Still Solve LIBERO?

    Sep 3, 2026Kohei Sendai, Tatsuya Matsushima, Yusuke IwasawaLibero Manipulation BenchmarkCapacity

    Matsuo-Iwasawa Lab, Graduate School of Engineering, The University of Tokyo, Japan

  19. Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework

    Aug 31, 2026Zhanbo Zhang, Ming Liu, Qing WangMemorizationTopology

    Anhui iFlytek Yinglian Technology Co., Ltd.

  20. Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss

    Aug 28, 2026Niccolò Ajroldi, Diana Alexandra Onutu, Haider Al-Tahan +4BatchScaling Laws

    ELLIS Institute Tübingen · OpenEuroLLM · Eindhoven University of Technology +6

  21. TANGCO: Learning Topology-Aware Capacity Allocation for Overload-driven Cascading Failures

    Aug 13, 2026Orkun Irsoy, Leman Akoglu, Osman YaganCapacityTopology

    Carnegie Mellon University · Electrical and Computer Engineering · Pittsburgh, Pennsylvania, USA +1

  22. Adaptive Semantic Capacity Allocation for Parallel Generative Recommendation

    Aug 10, 2026Chenxi Li, Yuchen Lu, Xu YangSequential RecommendationReal-World Content Recommendation Problem

    University of the Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences

  23. ASPaeroFlow: Decomposition Heuristics for Joint Air Traffic Flow & Capacity Management

    Aug 10, 2026Alexander Beiser, Markus Hecher, Nysret Musliu +2Air Traffic ControlAerodynamics

    TU Wien, Vienna, Austria · University of Potsdam, Potsdam, Germany · CNRS, Artois University (CRIL), Artois, France +1

  24. Signature-Guided Capacity Occupancy for Dense Expert Merging

    Aug 10, 2026Lingching Tung, Chi-Jui Kim, Beicheng Xu +2Continual Model MergingMerge

    Peking University · Independent Researcher

  25. Adaptive Two-Level Allocation of a Conserved Capacity Budget Across Locations and Service Classes

    Aug 7, 2026Simone Mainardi, Kaushal Bansal, Prabhat SinghPower AllocationCapacity

    Network Security Salesforce, Inc. Dublin, Ireland

  26. Complete, Scalable, and Robust Prioritized Planning for Multi-Robot Ordered Storage and Retrieval at Maximum Capacity

    Aug 7, 2026William Zhang, Tzvika Geft, Jingjin Yu +1Multi-Robot Motion PlanningMulti-Robot Systems

    Department of Computer Science, Rutgers University, New Brunswick, NJ, USA

  27. Skaling: Chinchilla's Exponents Meet Kaplan's Coupling

    Aug 7, 2026Mathurin Videau, Badr Youbi-Idrissi, David Lopez-Paz +1Scaling LawsExponents

    1FAIR at Meta

  28. Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning

    Aug 7, 2026Alireza Moayedikia, Alicia Troncoso LoraFederated LearningLong-Run Coverage Guarantees

    Department of Business Technology and Entrepreneurship, Swinburne University of Technology, Melbourne, Australia · Data Science & Big Data Lab, Universidad Pablo de Olavide, Seville, Spain

  29. Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints

    Aug 7, 2026Paul-Peter ArslanLarge Language Model BiasTriage

    Institute for Future Technologies

  30. Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints

    Aug 5, 2026Mohammadsaeed Haghi, Mahdi Salmani, Nima KelidariQueue ControlDynamic Pricing

    University of Southern California

  31. ACA-GS: Adaptive-Capacity Anchored Gaussian Splatting for Compact Dynamic Radiance Fields

    Aug 5, 2026Seunghyeon Song, Joo Chan Lee, Chanung Park +4Gaussian Splatting4D Reconstruction

    Sungkyunkwan University Suwon, Gyeonggi-do Republic of Korea · Electronics and Telecommunications Research Institute Daejeon, Republic of Korea · Yonsei University Seoul, Republic of Korea

  32. Quantum-Inspired Evolutionary Neighborhood Search for Arrival-Departure Track Utilization Adjustment under Short-Term Disturbances

    Jul 27, 2026Xiaobin Li, Wuming Lei, Yanbin Gao +1RelightingQuantum Annealing

    School of Transportation Engineering East China Jiaotong University Nanchang, Jiangxi 330038, China

  33. How Much Can a LoRA Adapter Memorize? Measuring Adapter Capacity in Bits

    Jul 23, 2026Kaizhen Tan, Heqing Du, Yang FengLow-Rank Adaptation AdaptersModel Fine-Tuning

    Carnegie Mellon University, Pittsburgh, PA, USA · Columbia University, New York, NY, USA

  34. Time Series Network Utilization KPI Forecasting Using Advanced AI/ML Models

    Jul 22, 2026Niraj Gadhe, Kirti Bhardwaj, Moulik Jain +2Bringing Network CodingCapacity

    Independent Researcher

  35. Locality-Aware Density Control for Efficient Gaussian-based Image Representation

    Jul 20, 2026Jiacong Chen, Qingyu Mao, Xiandong Meng +5Gaussian Splatting3D Gaussian Primitives

    Shenzhen University Shenzhen, China · Pengcheng Laboratory Shenzhen, China · Harbin Institute of Technology (Shenzhen) Shenzhen, China

  36. Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones

    Jul 19, 2026Ayoub Ghriss, Sourav ChakrabortyKimi Delta AttentionLinear Attention

    Department of Computer Science, University of Colorado Boulder

  37. Capacity and Redundancy Trade-offs in Multi-Task Learning

    Jul 17, 2026Asif KhanMulti--Task LearningRedundancy

    1Harvard Medical School, Boston, USA

  38. Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities

    Jul 15, 2026Eunna Lee, Jungpyo Nam, Sunjun HwangLarge Language Models FailGenerative Hallucination

    Independent Researcher · Korea Cyber University · Yonsei University

  39. Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination

    Jul 14, 2026Usman Haider, Karl MasonFederated LearningMulti-Agent Reinforcement Learning

    School of Computer Science, University of Galway, Ireland.

  40. Random Label Prediction Heads for Studying Memorization in Deep Neural Networks

    Jul 13, 2026Marlon Becker, Jonas Konrad, Luis Garcia Rodriguez +1MemorizationNeural Network

    University of Münster, Germany

  41. ML in a Box: Analyzing Containerization Practices in Open Source ML Projects

    Jul 11, 2026Faten Jebari, Emna Ksontini, Amine Barrak +1CapacityCache

    Grand Valley State University Michigan, USA · University of North Carolina Wilmington North Carolina, USA · Oakland University Michigan, USA +1

  42. BlockServe: Block-Grained Continuous Batching for High-Throughput Diffusion LLM Serving

    Jul 9, 2026Yuanjie Zhu, Liangwei Yang, Ke Xu +4Large Language Model ServingSchedulers

    University of Illinois Chicago, USA

  43. MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning

    Jul 9, 2026Harrison Rush, Vincent Davis, Simone Antonelli +3Bringing Network CodingFlow Policies

    Amboss Technologies, Green Cove Springs, USA · CISPA Helmholtz Center for Information Security · Stillmark, San Francisco, USA +1

  44. Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?

    Jul 8, 2026Qinnan Cai, Yibo Zhao, Xiang LiSearch AgentsMulti-Hop Reasoning

    School of Data Science and Engineering East China Normal University

  45. LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs

    Jul 4, 2026Xiaoyue Liu, Zheng DongLogisticsLarge Language Model Routing

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA.

  46. Joint Air Traffic Flow and Capacity Management via Answer Set Programming

    Jun 22, 2026Alexander Beiser, Markus Hecher, Nysret Musliu +1Air Traffic ControlMixed-Integer Programming

    TU Wien, Vienna, Austria · University of Potsdam, Germany & CNRS, France

  47. Expressivity Saturation: Reduced Affine Region Usage Under Increasing Task Complexity

    Jun 19, 2026Xuan Qi, Yi Wei, Fanqi Yu +1AffineStructural Complexity

    AI for Good (AIGO), Istituto Italiano di Tecnologia · DITEN, University of Genoa · State Key Laboratory of Novel Software Technology +1

  48. Learning Burst-Aware Early Warning Models for Capacity Stress under AI Workload Surges in Hyperscale Data Centers

    Jun 19, 2026Zihan Yu, Xianling Zeng, Zhiming Xue +2Artificial Intelligence InfrastructureWorkload

    College of Professional Studies Northeastern University Boston, USA · College of Engineering Northeastern University Boston, USA · Khoury College of Computer Sciences Northeastern University Boston, USA

  49. Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds

    Jun 16, 2026Hao Liang, Cheng Tang, Yunzong XuQueue ControlSchedulers

    University of Illinois Urbana–Champaign

  50. Small Initialization Matters for Large Language Models

    Jun 16, 2026Liangkai Hang, Junjie Yao, Zhiyu Li +3CapacityDevelopmental Trajectories

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China. · MemTensor (Shanghai) Technology Co., Ltd.. for Advanced Algorithms Research, Shanghai, China. · Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China.

  51. Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Framework

    Jun 15, 2026Carlos Eduardo Sanoja, Oscar Enrique Moreno MayzCapacityCompetence

    Professor, FCEA, Universidad Monte´avila Edificio Lomas del Sol, Calle Humboldt, Lomas del Sol, Caracas, Venezuela · Quanta Labs, LLC

  52. Architectural Wisdom: A Framework for Governing Optimization in AI Systems

    Jun 15, 2026Edward Y. ChangArtificial Intelligence GovernanceArtificial Intelligence Systems

    Stanford University

  53. Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models

    Jun 12, 2026Chenyu Zhou, Qiliang Jiang, Boguang PanModel Fine-TuningRepetition

    School of Engineering, Institute of Science Tokyo, Japan · College of Control Science and Engineering, Zhejiang University, China · Graduate School of Information, Production and Systems, Waseda University

  54. Capacity, Not Format: Rethinking Structured Reasoning Failures

    Jun 8, 2026Hengxin FanStructured ContextCapacity

    Tianjin Normal University

  55. Unified Energy for Invariant and Independent Decoding in Diffusion Language Models

    Jun 8, 2026Yuchen Yan, Minkai Xu, Zaiquan Yang +1Diffusion Language ModelsDiffusion Models

    Department of Computer Science National University of Singapore · Department of Computer Science Stanford University · Department of Computer Science City University of Hong Kong

  56. How Much Capacity Does EEG Denoising Need? Ultra-Compact Networks reveal Benchmark Saturation and Metric-Utility Gap

    Jun 7, 2026Jasmeet Singh Bindra, Siddharth PanwarElectroencephalographyBrain-Computer Interface

    Indian Knowledge Systems and Mental Health Applications (IKSMHA) Center, Indian Institute of Technology Mandi, Himachal Pradesh, India · School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Himachal Pradesh, India

  57. Sycophancy as a Multilingual Alignment Failure: How Safety Degrades Across Languages, Topics, and Models

    Jun 7, 2026Arya Shah, Himanshu Beniwal, Mayank Singh +1Multilingual SafetyLarge Language Model Safety

    IIT Gandhinagar · Asian Institute of Technology

  58. The Capacity of Information-Theoretic Secure Aggregation in Federated Learning

    Jun 5, 2026Lanxin Yi, Jinbao Zhu, Kai Wan +1Secure AggregationFederated Learning

    Information Coding and Transmission (ICT) Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 611756, China · School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China

  59. Shortcomings and capacities of real-constrained neural networks in complex spaces

    Jun 3, 2026Andrew GracykNeural ApproximationsKernel Hilbert Spaces

    Department of Mathematics Purdue University West Lafayette, IN 47907, United States

  60. DFlare: Scaling Up Draft Capacity for Block Diffusion Speculative Decoding

    Jun 1, 2026Jiebin Zhang, Zhenghan Yu, Song Liu +9Block-Diffusion DrafterSpeculative Decoding

    School of Computer Science, Peking University · Tencent