Attractors

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10 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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  1. Towards Better Exploration in Sequential Test-Time Scaling

    Sep 30, 2026Joseph Rance, Fabio Pizzati, Juil Sock +4Test-Time ScalingSequential Scaling

    University of Oxford · MBZUAI · BBC R&D

  2. Learning Chaos Without Seeing Chaos: Extrapolation of Global Dynamics in Autoregressive Transformers

    Sep 30, 2026Yilun Liu, Yi Zhang, Ganyu Wu +5ChaosAutoregressive Transformers

    Ludwig Maximilian University of Munich · Munich Center for Machine Learning · Technical University of Munich

  3. Minkowski Attractor Networks: Closed-Form Hyperbolic Flows for Visual Representations

    Sep 29, 2026Zhongping JiHyperbolic LearningHyperbolic Space

  4. On Growth and Form, and Function: Reusable Regulatory Handles Control Phenotypic Variation

    Sep 24, 2026Benedikt Hartl, Milton L. Montero, Marcello Barylli +2Neural Cellular AutomataSelf-Organization

    Allen Discovery Center at Tufts University, Medford, MA, USA · IT University of Copenhagen, Denmark · Sakana AI, Japan +1

  5. GCUL: Ambiguity Identification in Text Emotion Classification via Cluster-Guided Learning

    Sep 24, 2026Zhongqi Fan, Tianyou Zhang, Fei ChenAmbiguityEmotion Recognition

    Beijing Normal-Hong Kong Baptist University

  6. Nonequilibrium Phases of Repulsive Self-Attention: Chaos, Attention Condensation, and Emergent Locality

    Sep 23, 2026Qucheng Gao, Zuyi Yang, Xiao ChenAttractorsChaos

    Department of Physics, Boston College, Chestnut Hill, Massachusetts 02467, USA

  7. Hidden not Deleted: How Networks Suppress Entangled Features

    Sep 23, 2026Akash Samanta, Manish Pratap Singh, Debasis ChaudhuriConcept ErasureEntanglement

    Techno India University Salt Lake, Kolkata, India · DRDO Young Scientist Laboratory - CT Chennai, India

  8. Ananke: Contractive Torus Attractor Networks

    Sep 21, 2026Zhongping JiAttractorsHamiltonian

  9. Opinion Leader Dynamics: How Sparse Attention Shapes Token Clustering

    Sep 21, 2026Jingkun Liu, Yue SongLinear AttentionAttractors

    Tsinghua University · Shanghai Jiao Tong University

  10. Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories

    Sep 15, 2026Akira TamamoriHopfield NetworksNeural Collapse

    Faculty of Information Science, Aichi Institute of Technology, Aichi, 470-0392, Japan

  11. Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing

    Sep 1, 2026Ling-Wei Kong, Ying-Cheng LaiReservoir ComputingDense Associative Memory

    Department of Computational Biology, Cornell University, Ithaca, NY 14850, USA · School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA · Department of Physics, Arizona State University, Tempe, Arizona 85287, USA

  12. Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks

    Sep 1, 2026Osvaldo M Velarde, Lucas C Parra, Alireza Hashemi +1SymmetryCompressed Model

    Levich Institute and Physics Department, City College of New York, 160 Convent Ave, NY, 10031, NY, USA. · Biomedical Engineering Department, City College of New York, 160 Convent Ave, NY, 610101, NY, USA.

  13. Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles

    Aug 31, 2026Martin Bonsergent-Brachet, Jesse Read, Dany AbboudMulti-Modal SensingSensors

    LIX, École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France · Renault, France

  14. Attractor Image-Based Deep Learning of Arterial Pulse Waves for Age Classification

    Aug 12, 2026Sara Vardanega, Patrick Segers, Philip Aston +3Remote PhotoplethysmographyVascular Age

    School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK · Institute of Biomedical Engineering and Technology, Ghent University, Ghent, Belgium · National Physical Laboratory, Teddington, UK +3

  15. Clustered Attractor Manifolds and Dynamical Condensation in Self-Attention

    Aug 9, 2026Qucheng Gao, Zuyi Yang, Xiao ChenAttractorsLinear Attention

    Department of Physics, Boston College, Chestnut Hill, Massachusetts 02467, USA · Department of Physics, Tsinghua University, Beijing 100084, China

  16. Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

    Aug 3, 2026Zhaotian Gu, Jie Su, Weiwei Wang +3Recurrent Neural NetworksAttractors

    School of System Science, Beijing Normal University · Qiyuan Laboratory · State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

  17. SILVA Networks as Structured Implicit Layers and Vector Attractors via Dynamic Interaction Fields

    Jul 31, 2026Jose Luis Lima de Jesus SilvaNeural RepresentationsAttractors

    Federal University of Bahia, Department of Geophysics, Salvador, BA 40170-115, Brazil · Grupo de Estudos e Aplicação de Inteligência Artificial em Geofísica (GAIA), Federal University of Bahia, Salvador, BA 40170-115, Brazil

  18. Safety-Gated Agentic Supervisory Control on a Coupled Distillation Benchmark: Regime Map, Auditable Gate, and Co-Design Findings

    Jul 30, 2026Christian RosenthalSafety ConstraintsArtificial Intelligence Control

    Sole author — independent research, industrial AI methodology

  19. Beyond Directed Acyclic Graphs: Causal Zeros and Causal Differential Equations

    Jul 24, 2026Sergei V. KalininLocal Causal StructuresDirected Acyclic Graph

    Department of Materials Science and Engineering, University of Tennessee, Knoxville

  20. Multiplicity of Stable Attractors in Disordered Neural Models

    Jul 24, 2026Raffaele Marino, Roberto Livi, Antonio PolitiAttractorsNeural Ordinary Differential Equations

    Butterfly Decisions srl, Via dei Principati 74 - 84122 Salerno, Italy · University of Florence, Department of Physics and Astronomy, Via G. Sansone 1 - 50019 Sesto Fiorentino (FI), Italy and Istituto dei Sistemi Complessi, CNR, Via Madonna del Piano 10 – 50019 Sesto Fiorentino (FI), Italy · Istituto dei Sistemi Complessi, CNR, Via Madonna del Piano 10 – 50019 Sesto Fiorentino (FI), Italy and Institute of Pure and Applied Mathematics, Department of Physics, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom

  21. The Dynamics of Discoverability: How Trajectories and Priors Shape Equation Recovery

    Jul 20, 2026Matteo Gallo, Fabio Anselmi, Paolo LazzariIdentifiabilitySymbolic Regression

    University of Trieste, Trieste, Italy · National Institute of Oceanography and Applied Geophysics - OGS, Trieste, Italy · NBFC, National Biodiversity Future Center, Palermo, Italy

  22. Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models

    Jul 17, 2026Wenjie Fan, Bin Ma, Dong LiAutoregressive Language ModelsRepetition

    Yotta Labs

  23. Multi-Scale Equilibrium under Variable Indicator Dimensionality: Faithful Reduction of Dynamic Attractors in Urban Mobility Systems

    Jul 16, 2026Ali Ghoroghi, Yacine Rezgui, Afrouz Ghaemi +2Urban MobilityUrban Environments

    School of Engineering, Cardiff University, Cardiff, United Kingdom

  24. Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape

    Jul 15, 2026Xuening Wu, Shan Yu, Shenqin YinAttractorsEscape

    Pfizer, Shanghai, China · Independent Researcher, Hangzhou, China · Institute of Humanities and Social Science Data, Fudan University, Shanghai, China

  25. Paradoxes of Game Theoretic Equilibria and Price of Anarchy

    Jul 13, 2026Georgios Piliouras, Ian Gemp, Siqi Liu +1Nash EquilibriumEquilibrium

    Google Deepmind, UK

  26. Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test

    Jul 7, 2026Cheng QianEconomiesFrontier Large Language Model Agents

    Independent Researcher

  27. Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs

    Jul 1, 2026Shuai Zhang, Zijie Chen, Hongliang He +2Diffusion Language ModelsLanguage Model Perplexity

    Zhejiang University · Westlake University · Ant Group

  28. Attractor States Emerge in Multi-Turn LLM Conversations

    Jun 29, 2026Ting-Wen Ko, Jonas GeipingLarge Language Model DecisionsMulti-Turn Large Language Model Conversations

    1Max Planck Institute for Intelligent Systems · 2ELLIS Institute · Tübingen +1

  29. EVAF: A Test-Retest Protocol for Selective Parametric Consolidation

    Jun 29, 2026Haoliang HanFactual RecallAttractors

    Institute of Biomedical Strategy, China Pharmaceutical University

  30. CANNs: A Toolkit for Research on Continuous Attractor Neural Networks

    Jun 26, 2026Sichao He, Aiersi Tuerhong, Shangjun She +4Brain-Inspired Synergistic FrameworkAttractors

    School of Psychological and Cognitive Sciences, Peking–Tsinghua Center for Life Sciences, PKU-IDG/McGovern Institute for Brain Research, Center of Quantitative Biology, Peking University, Beijing, China · College of Mathematics and Statistics, Chongqing University, Chongqing, China

  31. Reasoning as Attractor Dynamics: Latent Memory Retrieval via Gibbs-Weighted Energy Minimization

    Jun 23, 2026Kanishk AwadhiyaDense Associative MemoryMathematical Reasoning

    Independent Researcher

  32. Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models

    Jun 22, 2026Rishabh Sharma, Stefano MartinianiDiffusion ModelsIterative Denoising Methods

    Simons Center for Computational Physical Chemistry, New York University · Center for Soft Matter Research, Department of Physics, New York University · Center for Neural Science, New York University +1

  33. Approximating velocity fields with planted attractors via Neural-ODEs for classification purposes

    Jun 22, 2026Feliciano Giuseppe Pacifico, Duccio Fanelli, Lorenzo Buffoni +3Neural Ordinary Differential EquationsAttractors

    Department of Informatics and Computer Science, University of Pisa, Italy · Department of Physics and Astronomy, University of Florence, Sesto Fiorentino, Italy · INFN, Italy

  34. A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA

    Jun 21, 2026Yancheng Zhou, Hanle Zheng, Lei Deng +1Multi-Object TrackingNeural Network

    Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing, China · Weixian College, Tsinghua University, Beijing, China · Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

  35. Neural Speaker Diarization via Multilingual Training: Evaluation on Low-Resource Nepali-Hindi Speech

    Jun 21, 2026Samip Neupane, Sandesh Pokhrel, Sandesh Pyakurel +1Speaker DiarizationMultilingual Automatic Speech Recognition

    Department of Electronics and Computer Engineering, Pulchowk Campus, Institute of Engineering, Lalitpur, Nepal

  36. Interpreting Latent CoT Reasoning as Dynamical Systems

    Jun 20, 2026Sabari Iyyappan Duraipandian, Shreya Sanjay Boyane, Manju Nagesh +3Efficient Latent ReasoningChain-of-Thought Reasoning

    1San Jose State University. · 2Worcester Polytechnic Institute. · 3George Mason University. +1

  37. Attractor Domain Theory: A Mathematical Framework for Cardiovascular Attractor Analysis with Wearable Photoplethysmography (PPG) Validation

    Jun 20, 2026Timothy Oladunni, Farouk Ganiyu AdewumiCardiovascular Risk PredictionRemote Photoplethysmography

    Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA

  38. Central limit theorem for the averaged Adam optimizer

    Jun 19, 2026Steffen Dereich, Arnulf JentzenStochastic ApproximationLarge Deviation Principle

    Institute for Mathematical Stochastics, University of Münster, Germany · School of Data Science and School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China · Applied Mathematics: Institute for Analysis and Numerics, University of Münster, Germany

  39. Distinguishing indistinguishable attractors: Unsupervised anomaly detection with reservoir computers

    Jun 19, 2026Davide Prosperino, Haochun Ma, Christoph RäthReservoir ComputingReservoir

    1Ludwig-Maximilians-Universität München, Faculty of Physics, Munich, 80539, Germany · 2Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institute for Frontier Materials on Earth and in Space, Cologne, 51170, Germany

  40. Right Knowledge, Wrong Answer: Test-Time Steering for Temporal Fact Conflicts in Open-Weight Language Models

    Jun 18, 2026Elias Hossain, Sourav Saha, Umesh Chandra Biswas +1Inference-TimeSteering

    University of Central Florida · 2Mississippi State University

  41. Escape from Delusional Echo Trap: Symmetry Breaking, Stochastic Dynamics and Mathematical Mitigation Strategies for Algorithmic Sycophancy

    Jun 16, 2026Sayantari Ghosh, Saumik Bhattacharya, Partha Pratim ChakrabartiSycophancyDeception

    National Institute of Technology Durgapur, Durgapur, India · Indian Institute of Technology Kharagpur, Kharagpur, India

  42. Ghost Attractor Networks: Basin-Structured Dynamical Decoders for Closed-Loop Sequential Generation

    Jun 16, 2026Tianyu Wang, Ying Wang, Zhihao Liu +2AttractorsLatent Variable

    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden

  43. Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories

    Jun 13, 2026Nicholas DavisCognitive ScienceHuman-Ai Collaboration

    Co-Creative AI Consulting Elyria, Ohio, USA

  44. Controlled Dynamics Attractor Transformer

    Jun 13, 2026Cheng Zhang, Minnan Luo, Zesheng Yang +3Interleaved Graph AttentionTransformer Attention

    School of Computer Science and Technology, MOEK-LINNS Lab, Xi’an Jiaotong University, Xi’an, Shaanxi, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China

  45. Shielded Analysis: Certification and Characterization of Defensibility in Systems under Adversarial Interaction

    Jun 11, 2026Achraf Hsain, Sultan AlmuhammadiLLM Defense MechanismsProbabilistic Safety

    Information and Computer Science Department King Fahd University of Petroleum and Minerals Dhahran, Saudi Arabia

  46. Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series

    Jun 5, 2026S. V. Manivelan, Andrei Velichko, I. ManimehanChaosChange-Point Detection

    Department of Physics, M. R. Government Arts College (Affiliated to Bharathidasan University, Tiruchirappalli), Mannargudi, 614 001, Tamilnadu, India. · Institute of Physics and Technology, Petrozavodsk State University, Petrozavodsk, 185910, Russia.

  47. Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search

    Jun 5, 2026Alvin Zou, Muhammad Suhail Saleem, Maxim LikhachevArtificial Intelligence SearchHeuristics

    Carnegie Mellon University

  48. From Prediction to Self: Developmental Conditions for Agency in Minimal Neural Systems

    Jun 4, 2026Evan YePredictive CodingSelf

    Independent Researcher

  49. When Do Attention Circuits Form? Developmental Trajectories of Capability and Attention-Sink Emergence Across Three 1B-ClassArchitectures

    Jun 1, 2026Yongzhong XuDevelopmental TrajectoriesInduction

  50. ARBITER: Reasoning Trajectory Basins and Majority Vote Failures in Test-Time Sampling

    May 25, 2026Meng Cai, Lars Kulik, Farhana ChoudhuryArbitrationMajority Voting

    School of Computing and Information Systems University of Melbourne

  51. Beyond Fixed Points: Superpolynomial Capacity of Asymmetric Hopfield Networks

    May 23, 2026Aakash Kumar, Anatoly Khina, Frederik Mallmann-Trenn +1Hopfield NetworksAttractors

    COATI, CNRS, Inria, I3S, Université Côte d’Azur, France · School of Electrical and Computer Engineering, Tel Aviv University, Israel · Department of Informatics, King’s College London, UK +1

  52. Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning

    May 20, 2026Benhao Huang, Zhengyang Geng, Zico KolterTest-Time ScalingEfficient Latent Reasoning

    CMU

  53. Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment

    May 20, 2026Roland Pihlakas, Jan Llenzl DagohoyConformityAttractors

    for the Three Laws collaboration · Independent researcher · Three Laws research collaboration +2

  54. Large-Step Training Dynamics of a Two-Factor Linear Transformer Model

    May 20, 2026Krishnakumar BalasubramanianTransformer ArchitecturesGradient Descent

    Department of Statistics, University of California, Davis

  55. Agentic Chunking and Bayesian De-chunking of AI Generated Fuzzy Cognitive Maps: A Model of the Thucydides Trap

    May 18, 2026Akash Kumar Panda, Olaoluwa Adigun, Bart KoskoFuzzy Cognitive MapReasoning Graphs

    University of Southern California, Los Angeles, CA 90007, USA · Florida International University, Miami, FL 33199, USA

  56. Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects

    May 17, 2026Xi Chen, Shibo Dai, Jiameng Lyu +1AssortmentStochastic Multi-Armed Bandits

    Leonard N. Stern School of Business, New York University, New York, NY 10012, USA · Qiuzhen College, Tsinghua University, Beijing 100084, China · Department of Management Science, School of Management, Fudan University, Shanghai, 200433, China +1

  57. Dynamics of collective creativity in AI art competitions

    May 16, 2026Mason Youngblood, Jeff Nusz, Joel SimonCreativityHuman-Ai Collaboration

    Institute for Advanced Computational Science, Stony Brook University, NY, USA · Morphogen, CA, USA

  58. Solve the Loop: Attractor Models for Language and Reasoning

    May 12, 2026Jacob Fein-Ashley, Paria RashidinejadLarge Language Model PretrainingTransformer Architectures

    University of Southern California

  59. Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography

    May 11, 2026Timothy Oladunni, Farouk Ganiyu AdewumiCuffless Blood Pressure EstimationRemote Photoplethysmography

    Department of Computer Science, Morgan State University, Baltimore, MD 21251 USA

  60. The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence?

    May 10, 2026Zhaoyang Zhang, Run Shao, Dongyue Wu +4Multimodal RepresentationsAttractors

    1Central South University · 4Ant Group · 2Huazhong University of Science and Technology +1