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26 papers in the last four weeks, up 333% on the four weeks before. 0.3% of all new papers.

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  1. Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift

    Oct 1, 2026Marcel Mordarski, Benjamin Gras, Abdelrahman Shehata +2Post-Quantum CryptographyWhite-Box Spectral-Subspace-Guided Attack

    Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom · Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, United Kingdom

  2. Polylogarithmic Sparsity of Randomly Reweighted NPMLEs for Gaussian Mixtures

    Oct 1, 2026Hansheng JiangMaximum LikelihoodGaussian Mixture Models

    University of Toronto

  3. Neuromorphic Pseudo-Random Number Generators with a Low Power Hardware Implementation

    Sep 30, 2026Jafar Shamsi, Navid Akbari, Sonia Sennik +2Neuromorphic ComputingField-Programmable Gate Arrays

    Hotchkiss Brain Institute, University of Calgary, Calgary, Canada · Biomedical Engineering, University of Calgary, Calgary, Canada · Electrical and Software Engineering, University of Calgary, Calgary, Canada +2

  4. Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison

    Sep 30, 2026Gyujeong ParkHuman Connectome ProjectConnectome

    IonLabs

  5. Minimax Additive Regression under Unknown Dependent Designs

    Sep 30, 2026Baptiste Ferrere, Fabrice Gamboa, Jean-Michel LoubesMinimax RateMinimax

    Université de Toulouse EDF R&D · Université de Toulouse ANITI

  6. 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

  7. Memorize, Adapt, Ignore: Diagnosing Robot Learning Mechanisms under Training Data Variation

    Sep 29, 2026Ke Zhang, Danica J. Sutherland, Chao LiuScalable Robot LearningImitation Learning

    PRIME Robotics Lab, Department of Mechanical Engineering, The University of British Columbia · Department of Computer Science, University of British Columbia · Alberta Machine Intelligence Institute

  8. Where Does Randomness Matter in Neural Cellular Automata?

    Sep 29, 2026Fei Zuo, Jiaqi Shi, Yujing LiuNeural Cellular AutomataStochastic

    Fudan University · Independent Researcher · Shanghai Pupuda Culture Communication Co., Ltd.

  9. Second-Moment Stochastic Approximation Methods

    Sep 29, 2026Tao Jiang, Lin XiaoStochastic ApproximationAdaptive Optimizers

    Fundamental AI Research (FAIR), Meta Superintelligence Labs

  10. TORQUE: Optimizing What (not) to Quantize Before and After Rotation

    Sep 28, 2026Ran Ben Basat, Michael Mitzenmacher, Shay VargaftikKey-Value Cache CompressionTop-K

    University College London · Harvard University · VMware Research by Broadcom

  11. The Price of Peeking: Anytime-Valid Leakage Detection on ML-KEM EM Traces

    Sep 27, 2026Georgios Feretzakis, Alexandros PapaspyridisData LeakageWitnesses

  12. When Temporal Perturbations Act Like Sensor Biases: Label-Free Auditing of Wearable Activity Recognizers

    Sep 24, 2026Qingyu Wu, Yuan Wei, Renju Liu +1Human Activity RecognitionModel Auditing

    Defense Innovation Institute, Academy of Military Science, Beijing, China · School of Software Engineering, South China University of Technology, Guangzhou, China

  13. A General Framework for Budgeted Threshold Incentives on Request

    Sep 24, 2026Zhuolin Wu, Chengrui Zhu, Wenhua Nie +9Bike-Sharing SystemsIncentives

    Meituan · National Taiwan University · Tsinghua University +1

  14. Scope Before You Persist: Preventing Cross-Family Interference in Agent Memory

    Sep 24, 2026Yezhou Cheng, Runjia Du, Zeming Liu +5Long-Term Agent MemoryPersistence

    Independent · Northwestern University · Pinterest, Inc.

  15. Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games

    Sep 23, 2026Gijs van Cuyck, Patric Feldmeier, Jan Tretmans +1Test GenerationNeuroevolution

    Radboud University, Institute iCIS, Nijmegen, The Netherlands · University of Passau, Germany · TNO-ESI, Eindhoven, The Netherlands

  16. Reproducible AI Requires Reproducible Randomness

    Sep 22, 2026Anthony Bertrand, Tom Schmitt, Engelbert Mephu Nguifo +1ReproducibilityRandom

    UCA, LIMOS · Université Clermont Auvergne, Clermont Auvergne INP, CNRS, LIMOS, F-63000 Clermont–Ferrand, France · UCA +2

  17. ARSTAG: An Agentic Real2Sim2Real System for Task-Specific Robot Data Generation

    Sep 21, 2026Bowei Li, Yuner Zhang, Changliu LiuRobot-Free DemonstrationsVisuomotor Policy

    Carnegie Mellon University, Pittsburgh, PA 15213, USA

  18. From Switching to Dynamic Regret: A Simple Reduction via Unbiased Random Sequences

    Sep 17, 2026Yibo Wang, Wenhao Yang, Sifan Yang +3Optimal RegretLearning-Augmented Algorithms

    State Key Laboratory for Novel Software Technology, Nanjing University · School of Artificial Intelligence, Nanjing University · School of Software Technology, Zhejiang University

  19. Online Supervised Dimension Reduction with Random Features: Diagnostics and Computational Trade-offs

    Sep 17, 2026Zhenlin Yao, Wei XiongPrincipal Component AnalysisSubspace

    School of Statistics University of International Business and Economics Beijing, China

  20. Accurate Trace Estimation with Fewer Random Bits via Recursive TensorSketch

    Sep 16, 2026Mohammad Azhar Khan, Rameshwar Pratap, Amit SharmaMatrix MultiplicationRandom

    Indian Institute of Technology Hyderabad, Kandi, Sangareddy, 502284, Telangana, India.

  21. A unified framework for global and local interpretability using adaptive derivative-ordered random explanation

    Sep 15, 2026Lemen Chao, Ming Lei, Anran FangInterpretabilityFeature Importance

    School of Information Resource Management, Renmin University of China, Beijing, 100872, People’s Republic of China. · Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, 100872, People’s Republic of China.

  22. CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding

    Sep 12, 2026Wissam Ghantous, Alexander V. MantzarisSteganographyPassage Encoding

    University of Central Florida Orlando, Florida, USA

  23. What a Random Draw from the MCP Registry Contains, and What Tool-Use Benchmarks Contain Instead

    Sep 12, 2026Haseeb Mohammed AfsarModel Context ProtocolControlling Tool Use

    Independent researcher

  24. Copying Versus Randomization in Lempel-Ziv Music Synthesis

    Sep 11, 2026Nadav Mishan, Ram ZamirSynthesizerData Compression Methods

    Department of Electrical Engineering Tel Aviv University Tel Aviv, Israel

  25. Application of curiosity driven exploration methods for hardware interference identification

    Sep 8, 2026Ludovic Matar, Clement Moulin-Frier, Pierre-Yves OudeyerInterferenceHardware Efficiency

    1Flowers AI & CogSci Lab - National Institute for Research in Digital Science and Technology, Bordeaux, France

  26. PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations

    Sep 7, 2026Sasank Annapureddy, Anjaneya Prasad ThamataniSecure AggregationGovernance

  27. Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling

    Sep 1, 2026Siyu Chen, Esha Saha, Hao WangWildfire PredictionRandom Forest

  28. Discrete Diffusion Bridges for Spatiotemporally Aligned Image Translation and Generation

    Aug 30, 2026Xing Xie, Jiawei Liu, Shijun Zhou +4Unpaired Image-To-Image TranslationDiffusion Bridges

    State Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China · University of Chinese Academy of Sciences, Beijing, China · School of Computing and Data Science, The University of Hong Kong, Hong Kong

  29. Interpretable AI with Local Distillation

    Aug 24, 2026Erin Craig, Yiling Huang, Snigdha PanigrahiInterpretabilitySingular Learning Theory

    Department of Biostatistics, University of Michigan · Department of Statistics, University of Michigan

  30. Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression

    Aug 11, 2026Yuhang Wei, Chuqin Zhou, Yibo Shi +2Learned Image CompressionRate-Distortion Theory

    Shanghai Jiao Tong University · Shanghai Jiao Tong University Shanghai, China · Huawei Technologies Ltd +1

  31. Logarithmic-Free Moment and Generalization Bounds for Uniformly Stable Algorithms

    Aug 10, 2026Thanh Nguyen-Cung, Binh T. NguyenGeneralization BoundsLogarithmic Scaling

    VinUniversity

  32. Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields

    Aug 10, 2026Yupei Nie, Lei Wang, Jiasen LiuCovarianceProbabilistic Operator Learning

    School of Mathematics and Physics, North China Electric Power University, Beijing 102206, P.R. China · School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, P.R. China

  33. Beyond the Black Box: Interpretable Models of Human Randomisation Failures

    Aug 7, 2026Ngoc Linh DaoBehavioral Foundation ModelsBlack Box

    Alpen-Adria-University of Klagenfurt, Austria

  34. Mitigating Scoring Bias in LLM-as-a-Judge via Random Number Generation

    Aug 6, 2026Yuma Asato, Kiyoaki Shirai, Natthawut KertkeidkachornLarge Language Model BiasLlm-As-A-Judge

    Japan Advanced Institute of Science and Technology

  35. Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

    Aug 5, 2026Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup +1Quantum CircuitsQuantum Processor

    University of Innsbruck, Department of Theoretical Physics, Technikerstraße 21a, A-6020 Innsbruck, Austria.

  36. An entropic explanation of insistence on sameness in autism

    Aug 5, 2026Przemysław ŚliwińskiAutism Spectrum DisorderEntropy

    Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wrocław, Poland.

  37. Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think

    Aug 5, 2026Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski +1Anomaly ScoreBenchmark Datasets

    Carnegie Mellon University, Pittsburgh, USA · TU Dortmund University, Dortmund, Germany · Lamarr Institute for Machine Learning and Artificial Intelligence, Germany +2

  38. Random features for Grassmannian kernel approximation with bounded rank-one projections

    Aug 4, 2026Rémi Delogne, Laurent JacquesAtom-Averaged FeaturesKernel Method

    INMA/ICTEAM, UCLouvain, Belgium

  39. Quality Control Algorithms for Pattern Counting

    Aug 4, 2026Cassandra Marcussen, Ronitt Rubinfeld, Madhu SudanO(\Bar{K}\Log N)$Worst-Case

    School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA. · Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, USA.

  40. Toward Uncertainty Quantification in Modern Art

    Aug 3, 2026Tirtho Roy, Ushashi Bhattacharjee, Showrav Kumar Saha +3ArtUncertainty

    1Iowa State University · 2Independent Researcher · University of Dhaka

  41. Noise in Diffusion Models Is a Learnable Input

    Aug 3, 2026Shengzhi Deng, Chenqi Ye, Yanze GuoDiffusion ModelsGenerative Quality

    School of Mathematics, Harbin Institute of Technology, Harbin, China · Software College, Northeastern University, Shenyang, China

  42. Augmented Inverse Hybrid Weighting: Robust Inference under Deterministic and Random Distribution Shifts

    Aug 1, 2026Ying Jin, Ying Jin, Dominik RothenhäuslerCovariate ShiftImportance Weighting

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

    Aug 1, 2026Yibin DongClosureNext-State Prediction

    Shandong University

  44. Universality and Approximation Rates of Graph Neural Networks with Random Features

    Jul 29, 2026Lukas Gonon, Thilo Meyer-Brandis, Niklas WeberGraph Neural NetworksAtom-Averaged Features

    School of Computer Science University of St. Gallen St. Gallen, 9000, Switzerland · Department of Mathematics LMU Munich Munich, 80333, Germany

  45. TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation

    Jul 28, 2026He Ma, Chen LiuReal-World Content Recommendation ProblemGraph Neural Networks

    The University of Sydney Camperdown, NSW, 2006, Australia · Nankai University Tianjing, China

  46. Semantic Space Search Trajectory Networks

    Jul 27, 2026Julian Agudelo, Alberto Tonda, Gabriela Ochoa +3Semantic GeometryClustering

    UMR MIA-PS and Agrial · UMR MIA-PS and ISC-PIF · Computing Science and Mathematics +1

  47. Random Forest-Based Prediction of Bone Volume Fraction and Fracture Position from S-Parameters

    Jul 26, 2026Jianhe Li, Jinsui Meng, Yida Zhao +3Random ForestRandom

    School of Electronics and Information Engineering, Beihang University

  48. On the Order-Conditional Optimality of Gaffke's Bound

    Jul 25, 2026George Bissias, Erik Learned-MillerOptimalityMaximum Likelihood

    University of Massachusetts Amherst

  49. Meshless Domain Randomization via Explicit Parameter Perturbation of 3D Gaussian Splatting

    Jul 24, 2026Felipe Nunes Carbone de Carvalho, Joyce de Morais Souza, Alan de Aguiar +2RasterizationLarge-Scale 3D Editing Dataset

    Federal University of ABC (UFABC), Santo Andr´e, Brazil

  50. Persistent Computational State: A Session-Centric Runtime for Generative World Models

    Jul 23, 2026Zhen LinPersistent StateVideo World Models

  51. Lipschitzian SLLNs for random functions

    Jul 22, 2026Lai Tian, Johannes O. RoysetLipschitz ContinuityLarge Deviation Principle

    Daniel J. Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA.

  52. Formal Foundations for Known Good Reliable Die Screening in Chiplet-Based AI Systems-on-Chip

    Jul 22, 2026Prashanthi Metku, Chandra GanduSemiconductor ManufacturingProbabilistic Safety

    Qualcomm Technologies, Inc., USA

  53. What Matters in Humanoid General Motion Tracking? An Empirical Study

    Jul 22, 2026Fabio Amadio, Enrico Mingo HoffmanHumanoidMotion

    HUCEBOT · Inria, Université de Lorraine, CNRS, Nancy, France

  54. A Structure-Adaptive Random Feature Method for High-Dimensional Elliptic PDEs

    Jul 22, 2026Jiale Linghu, Hao Dong, Yangshuai WangAtom-Averaged FeaturesLow-Dimensional Structure

    School of Mathematics and Statistics, Xidian University, Xi’an 710071, China. · Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, 119076, Singapore

  55. Information-Based Exploration via Random Features for Reinforcement Learning

    Jul 20, 2026Waris Radji, Odalric-Ambrym MaillardStochastic ExplorationExploration

    Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189-CRIStAL, F-59000 Lille, France

  56. The Dimension of Nonterminating Resampling Computations

    Jul 20, 2026Yunbei XuTractabilityRandom

    National University of Singapore

  57. Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints

    Jul 19, 2026Hany Hamed, Abhishek Naik, Colin Bellinger +1Offline Reinforcement LearningRandom

    University of Alberta · 3Alberta Machine Intelligence Institute (Amii) · 7Generative Bionics +4

  58. Beyond the d2.5d^{2.5}-mixing bound for Dikin walks on polytopes

    Jul 15, 2026Yunbum KookPolytopesOptimal Sample Complexity

    Georgia Tech

  59. The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting

    Jul 14, 2026Mert Onur Cakiroglu, Mehmet Dalkilic, Hasan KurbanBeyond RetrievalRandom

    Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, IN, USA · College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

  60. Adaptive Search in Collatz Exponent-Code Space via 2-adic and 3-adic Constraints

    Jul 10, 2026Oliver KramerOpen ProblemsSearch Algorithms

    Computational Intelligence Department of Computer Science University of Oldenburg