HackerPapers

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28734 retained paper pages. Page 265 of 288.

  1. Image Generators are Generalist Vision Learners

    Valentin Gabeur, Shangbang Long, Songyou Peng, Paul Voigtlaender, Shuyang Sun, Yanan Bao, Karen Truong, Zhicheng Wang, Wenlei Zhou, Jonathan T. Barron, Kyle Genova, Nithish Kannen, Sherry Ben, Yandong Li, Mandy Guo, Suhas Yogin, Yiming Gu, Huizhong Chen, Oliver Wang, Saining Xie, Howard Zhou, Kaiming He, Thomas Funkhouser, Jean-Baptiste Alayrac, Radu Soricut · 2026

  2. Synthesizing Multi-Agent Harnesses for Vulnerability Discovery

    Hanzhi Liu, Chaofan Shou, Xiaonan Liu, Hongbo Wen, Yanju Chen, Ryan Jingyang Fang, Yu Feng · 2026

  3. Convergent Evolution: How Different Language Models Learn Similar Number Representations

    Deqing Fu, Tianyi Zhou, Mikhail Belkin, Vatsal Sharan, Robin Jia · 2026

  4. SPIRE: Structure-Preserving Interpretable Retrieval of Evidence

    Mike Rainey, Umut Acar, Muhammed Sezer · 2026

  5. FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels

    Fei Zuo, Xiaoyan Xi, Quanyi Zeng, Feiyu Wang, Ho Fai Leung · 2026

  6. The Path Not Taken: Duality in Reasoning about Program Execution

    Eshgin Hasanov, Md Mahadi Hassan Sibat, Santu Karmaker, Aashish Yadavally · 2026

  7. Simplified Sparse Attention via Gist Tokens

    Yuzhen Mao, Michael Y. Li, Emily B. Fox · 2026

  8. Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints

    Jan Pennekamp, Johannes Lohmöller, David Schütte, Joscha Loos, Martin Henze · 2026

  9. A construction of the hat tilings by a Markov partition

    Sébastien Labbé, Peter Selinger · 2026

  10. Escaping the Agreement Trap: Defensibility Signals for Evaluating Rule-Governed AI

    Michael O'Herlihy, Rosa Català · 2026

  11. Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power

    Travis LaCroix, Fintan Mallory, Sasha Luccioni · 2026

  12. Decoupled DiLoCo for Resilient Distributed Pre-training

    Arthur Douillard, Keith Rush, Yani Donchev, Zachary Charles, Nova Fallen, Ayush Dubey, Ionel Gog, Josef Dean, Blake Woodworth, Zachary Garrett, Nate Keating, Jenny Bishop, Henry Prior, Edouard Yvinec, Arthur Szlam, Marc'Aurelio Ranzato, Jeff Dean · 2026

  13. Agentic Artificial Intelligence in Finance: A Comprehensive Survey

    Irene Aldridge, Jolie An, Riley Burke, Michael Cao, Chia-Yi Chien, Kexin Deng, Ruipeng Deng, Yichen Gao, Olivia Guo, Shunran He, Zheng Li, George Lin, Weihang Lin, Percy Lyu, Alex Ng, Qi Wang, Hanxi Xiao, Dora Xu, Yuanyuan Xue, Sheng Zhang, Sirui Zhang, Yun Zhang, Sirui Zhao, Xiaolong Zhao, Yihan Zhao, Waner Zheng · 2026

  14. There Will Be a Scientific Theory of Deep Learning

    Jamie Simon, Daniel Kunin, Alexander Atanasov, Enric Boix-Adserà, Blake Bordelon, Jeremy Cohen, Nikhil Ghosh, Florentin Guth, Arthur Jacot, Mason Kamb, Dhruva Karkada, Eric J. Michaud, Berkan Ottlik, Joseph Turnbull · 2026

  15. CuRast: Cuda-Based Software Rasterization for Billions of Triangles

    Markus Schütz, Lukas Lipp, Elias Kristmann, Michael Wimmer · 2026

  16. Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs

    Joseba Fernandez de Landa, Carla Perez-Almendros, Jose Camacho-Collados · 2026

  17. SPAC: Automating FPGA-based Network Switches with Protocol Adaptive Customization

    Guoyu Li, Yang Cao, Lucas H L Ng, Alexander Charlton, Qianzhou Wang, Will Punter, Philippos Papaphilippou, Ce Guo, Hongxiang Fan, Wayne Luk, Saman Amarasinghe, Ajay Brahmakshatriya · 2026

  18. Efficient Classical Simulation of Heuristic Peaked Quantum Circuits

    David Kremer, Nicolas Dupuis · 2026

  19. MathDuels: A Self-Play Benchmark That Grows

    Zhiqiu Xu, Shibo Jin, Shreya Arya, Mayur Naik · 2026

  20. Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation

    Charles Junichi McAndrews · 2026

  21. Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning

    Grigory Sapunov · 2026

  22. Shared Lexical Task Representations Explain Behavioral Variability In LLMs

    Zhuonan Yang, Jacob Xiaochen Li, Francisco Piedrahita Velez, Eric Todd, David Bau, Michael L. Littman, Stephen H. Bach, Ellie Pavlick · 2026

  23. Kernel Contracts: A Specification Language for ML Kernel Correctness Across Heterogeneous Silicon

    Cooper Veit · 2026

  24. Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning

    Qinan Yu, Alexa Tartaglini, Peter Hase, Carlos Guestrin, Christopher Potts · 2026

  25. Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents

    Seyed Moein Abtahi, Rasa Rahnema, Hetkumar Patel, Neel Patel, Majid Fekri, Tara Khani · 2026

  26. Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

    Nalin Poungpeth, Nicholas Clark, Tanu Mitra · 2026

  27. Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework

    Tharindu Kumarage, Lisa Bauer, Yao Ma, Dan Rosen, Yashasvi Raghavendra Guduri, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris · 2026

  28. Fast GPU Linear Algebra via Compile Time Expression Fusion

    Ryan R. Curtin, Marcus Edel, Conrad Sanderson · 2026

  29. Guess-Verify-Refine: Data-Aware Top-K for Sparse-Attention Decoding on Blackwell via Temporal Correlation

    Long Cheng, Ritchie Zhao, Timmy Liu, Mindy Li, Xianjie Qiao, Kefeng Duan, Yu-Jung Chen, Xiaoming Chen, Bita Darvish Rouhani, June Yang · 2026

  30. A Morphological Identification and Study of Radio Galaxies from LoTSS DR2. I. The "Winged'' Radio Galaxies

    Soumen Kumar Bera, Taotao Fang, Tapan K. Sasmal, M. Kunert-Bajraszewska, Xuelei Chen, Soumen Mondal · 2026

  31. From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company

    Zhengxu Yu, Yu Fu, Zhiyuan He, Yuxuan Huang, Lee Ka Yiu, Meng Fang, Weilin Luo, Jun Wang · 2026

  32. Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs

    Jose Geraldo Fernandes, Luiz Facury, Pedro Robles Dutenhefner, Wagner Meira · 2026

  33. Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

    Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Runyi Li, Chenyu Tang, Dong Huang, Xuhang Chen, Rui Liu, Chengzu Li, Shiyi Du, Xu Huang, Haoxuan Che, Long Chen, Qifeng Chen, Wenya Wang, Wenxuan Zhang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia · 2026

  34. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

    Longju Bai, Zhemin Huang, Xingyao Wang, Jiao Sun, Rada Mihalcea, Erik Brynjolfsson, Alex Pentland, Jiaxin Pei · 2026

  35. Secure On-Premise Deployment of Open-Weights Large Language Models in Radiology: An Isolation-First Architecture with Prospective Pilot Evaluation

    Sebastian Nowak, Jann-Frederick Laß, Narine Mesropyan, Babak Salam, Nico Piel, Mohammed Bahaaeldin, Wolfgang Block, Alois Martin Sprinkart, Julian Alexander Luetkens, Benjamin Wulff, Alexander Isaak · 2026

  36. Epicure: Multidimensional Flavor Structure in Food Ingredient Embeddings

    Jakub Radzikowski, Josef Chen · 2026

  37. Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing

    Anastasiia Filippova, David Grangier, Marco Cuturi, João Monteiro · 2026

  38. AeSlides: Incentivizing Aesthetic Layout in LLM-Based Slide Generation via Verifiable Rewards

    Yiming Pan, Chengwei Hu, Xuancheng Huang, Can Huang, Mingming Zhao, Yuean Bi, Xiaohan Zhang, Aohan Zeng, Linmei Hu · 2026

  39. Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes

    Tim Merino, Sam Earle, Ryunosuke Iwai, Julian Togelius, Edoardo Cetin · 2026

  40. When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape

    Richard Joseph Mitchell · 2026

  41. Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

    Divakar Kumar Yadav, Tian Zhao, Deepak Kumar · 2026

  42. Progress in Formalizing Sphere Packing in Dimension 8

    Sidharth Hariharan, Christopher Birkbeck, Seewoo Lee, Ho Kiu Gareth Ma, Bhavik Mehta, Auguste Poiroux, Maryna Viazovska · 2026

  43. SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models

    Yin Lin, Tianjing Zeng, Zhongjun Ding, Rong Zhu, Bolin Ding, H. V. Jagadish, Jingren Zhou · 2026

  44. CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training

    Rezaul Karim, Austin Wen, Wang Zongzuo, Weiwei Zhang, Yang Liu, Walid Ahmed · 2026

  45. Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis

    Zhisong Qiu, Shuofei Qiao, Kewei Xu, Yuqi Zhu, Lun Du, Ningyu Zhang, Huajun Chen · 2026

  46. The Anatomy of a Decentralized Prediction Market: Microstructure Evidence from the Polymarket Order Book

    Philipp D. Dubach · 2026

  47. An Explicit Solution to Black-Scholes Implied Volatility

    Wolfgang Schadner · 2026

  48. The Last Human-Written Paper: Agent-Native Research Artifacts

    Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si, Ao Qu, Xiangru Tang, Runyu Lu, Lichang Chen, Xiaoyan Bai, Haizhong Zheng, Carl Chen, Zhiyang Chen, Haojie Ye, Yujuan Fu, Zexue He, Zijian Jin, Zhenyu Zhang, Shangquan Sun, Maestro Harmon, John Dianzhuo Wang, Jianqiao Zeng, Jiachen Sun, Mingyuan Wu, Baoyu Zhou, Chenyu You, Shijian Lu, Yiming Qiu, Fan Lai, Yuan Yuan, Yao Li, Junyuan Hong, Ruihao Zhu, Beidi Chen, Alex Pentland, Ang Chen, Mosharaf Chowdhury, Zechen Zhang · 2026

  49. Hyperstatistics

    Lucas Squillante, Samuel M. Soares, Constantino Tsallis, Mariano de Souza · 2026

  50. Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale

    Liang Guo, Ge Song, Litao Deng, Jianhui Sun, Chufeng Hu, Lu Zhang, Zhen Ma, Shouwei Chen, Weiran Liu, Sarang Masti Sreeshylan, Xiaoxuan Meng, Yanzun Huang · 2026

  51. Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity

    Bojie Li · 2026

  52. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate

    John Seon Keun Yi, Aaron Mueller, Dokyun Lee · 2026

  53. VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations

    Maitreya Patel, Jingtao Li, Weiming Zhuang, Yezhou Yang, Lingjuan Lv · 2026

  54. Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short

    Enis Golaszewski, Neal Krawetz, Alan T. Sherman, Edward Zieglar, Sai K. Matukumalli, Roberto Yus, Carson L. Kegley, Michael Barthel, William Bowman, Bharg Barot, Kaur Kullman · 2026

  55. Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM

    Vinith M. Suriyakumar, Ayush Sekhari, Lena Stempfle, Robertson Wang, Michael Simpson, Rebecca Portnoff, Marzyeh Ghassemi, Ashia C. Wilson · 2026

  56. How Can Reinforcement Learning Achieve Expert-level Placement?

    Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou · 2026

  57. The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models

    Abhinav Kumar Singh, Harsha Vardhan Khurdula, Yoeven D Khemlani, Vineet Agarwal · 2026

  58. Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

    Bipin Thapa, Daniele Alfonso, Lorenzo Bini, Licio Mapelli, Kaspar Schleiser, Romain Fouquet, Emmanuel Baccelli · 2026

  59. Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

    Jiahang Lin, Shichun Liu, Chengjun Pan, Lizhi Lin, Shihan Dou, Zhiheng Xi, Xuanjing Huang, Hang Yan, Zhenhua Han, Tao Gui, Yu-Gang Jiang · 2026

  60. Information Extraction from Electricity Invoices with General-Purpose Large Language Models

    Javier Gómez, Javier Sánchez · 2026

  61. FalconApp: Rapid iPhone Deployment of End-to-End Perception via Automatically Labeled Synthetic Data

    Yan Miao, Will Shen, Sayan Mitra · 2026

  62. Finite Functional Programming

    Michael Arntzenius, Max Willsey · 2026

  63. The Difference Between "Replicable" and "Not Replicable" Is Not Itself Scientifically Replicable

    Erkan O. Buzbas, Berna Devezer · 2026

  64. GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

    GLM-V Team, :, Wenyi Hong, Xiaotao Gu, Ziyang Pan, Zhen Yang, Yuting Wang, Yue Wang, Yuanchang Yue, Yu Wang, Yanling Wang, Yan Wang, Xijun Liu, Wenmeng Yu, Weihan Wang, Wei Li, Shuaiqi Duan, Sheng Yang, Ruiliang Lv, Mingdao Liu, Lihang Pan, Ke Ning, Junhui Ji, Jinjiang Wang, Jing Chen, Jiazheng Xu, Jiale Zhu, Jiale Cheng, Ji Qi, Guobing Gan, Guo Wang, Cong Yao, Zijun Dou, Zihao Zhou, Zihan Wang, Zhiqi Ge, Zhijie Li, Zhenyu Hou, Zhao Xue, Zehui Wang, Zehan Qi, Zehai He, Yutao Zhang, Yusen Liu, Yukuo Cen, Yuchen Li, Yuan Wang, Yu Yang, Yongbin Liu, Yijian Lu, Yifan Xu, Yanzi Wang, Yanxiao Zhao, Yanfeng Wang, Yadong Xue, Yabo Xu, Xinyu Zhang, Xinyu Liu, Xiao Liu, Wenyi Zhao, Wenkai Li, Tianyu Tong, Tianshu Zhang, Shudan Zhang, Shengdong Yan, Qinkai Zheng, Mingde Xu, Licheng Bao, lat Long long, Jiaxing Xu, Jiaxin Fan, Jiawen Qian, Jiali Chen, Jiahui Lin, Jiadai Sun, Haozhi Zheng, Haoran Wang, Haochen Li, Hanyu Lai, Han Xu, Fan Yang, Dan Zhang, Da Yin, Chuangxin Zhao, Chengcheng Wu, Boyan Shi, Bowen Lv, Bowei Jia, Bo Li, Bin Chen, Baoxu Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang · 2026

  65. Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding

    Hayate Iso, Tiyasa Mitra, Sudipta Mondal, Rasoul Shafipour, Venmugil Elango, Terry Kong, Yuki Huang, Seonjin Na, Izzy Putterman, Benjamin Chislett, Maor Ashkenazi, Joseph Guman, Gerald Shen, Tugrul Konuk, Ashwath Aithal, Ritika Borkar, Ran Zilberstein, Bita Rouhani · 2026

  66. Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight

    Yuang Yan, Ian Karlin, Ryan Grant · 2026

  67. Digital Simulation of Non-Hermitian Knotted Bands on Quantum Hardware

    Truman Yu Ng, Yuzhu Wang, Wei Jie Chan, Ruizhe Shen, Tianqi Chen, Ching Hua Lee · 2026

  68. C8s: A Confidential Kubernetes Architecture

    Amean Asad, Patrick McClurg, João Andrade · 2026

  69. EMiX: Emulating Beyond Single-FPGA Limits

    Alexander Kropotov, Miquel Moreto, Behzad Salami · 2026

  70. LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference

    Katelyn Crumpacker, Dimitrios Nikolopoulos · 2026

  71. When Your LLM Reaches End-of-Life: A Framework for Confident Model Migration in Production Systems

    Emma Casey, David Roberts, David Sim, Ian Beaver · 2026

  72. Efficient Training on Multiple Consumer GPUs with RoundPipe

    Yibin Luo, Shiwei Gao, Huichuan Zheng, Youyou Lu, Jiwu Shu · 2026

  73. AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism

    Ahan Gupta, Zhihao Wang, Neel Dani, Masahiro Tanaka, Olatunji Ruwase, Minjia Zhang · 2026

  74. How a Cooperative-Override Circuit Suppresses Nash Play in Large Language Models

    Paraskevas V. Lekeas, Giorgos Stamatopoulos · 2026

  75. Orbital Data Centers: Spacecraft Constraints and Economic Viability

    Slava G. Turyshev · 2026

  76. From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction

    Alex Petrov, Alexander Gusak, Denis Mukha, Dima Korolev · 2026

  77. Synthetic Computers at Scale for Long-Horizon Productivity Simulation

    Tao Ge, Baolin Peng, Hao Cheng, Jianfeng Gao · 2026

  78. Exploring LLM biases to manipulate AI search overview

    Roman Smirnov · 2026

  79. Quantum in Biology, Quantum for Biology, and Biology for Quantum: Mapping the Evidence and the Road Ahead

    Lea Gassab, Betony Adams, Yashine H. Goolam Hossen, Abbas Hassasfar, Onur Pusuluk, Nirosha J. Murugan, Iannis K. Kominis, Özgür E. Müstecaplıoğlu, Francesco Petruccione, Travis J. A. Craddock · 2026

  80. From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings

    Christiaan M. Geldenhuys, Thomas R. Niesler · 2026

  81. Trees to Flows and Back: Unifying Decision Trees and Diffusion Models

    Sai Niranjan Ramachandran, Suvrit Sra · 2026

  82. End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer

    Wenda Chu, Bingliang Zhang, Jiaqi Han, Yizhuo Li, Linjie Yang, Yisong Yue, Qiushan Guo · 2026

  83. Object-Level Explanations for Image Geolocation Models: a GeoGuessr use-case

    Emilie Durrieu, Christophe Hurter, Philippe Muller, Victor Boutin · 2026

  84. Compared to What? Baselines and Metrics for Counterfactual Prompting

    Zihao Yang, Mosh Levy, Yoav Goldberg, Byron C. Wallace · 2026

  85. Practical Formal Verification for MLIR Programs

    Emily Tucker, Louis-Noël Pouchet, Erika Hunhoff, Stephen Neuendorffer, Erwei Wang · 2026

  86. CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization

    Ghadi Nehme, Eamon Whalen, Faez Ahmed · 2026

  87. A Theory of Generalization in Deep Learning

    Elon Litman, Gabe Guo · 2026

  88. Hallucinations Undermine Trust; Metacognition is a Way Forward

    Gal Yona, Mor Geva, Yossi Matias · 2026

  89. SPEC CPU: The Next Generation

    Mahesh Madhav, Allen Lee, Andres Mejia, Branden Moore, Charan Soppadandi, Chris Cambly, Christoph Müllner, Daniel Bowers, David Reiner, Denis Bakhvalov, Di Zhao, Duane Voth, Feng Xue, Frédérique Silber-Chaussumier, James Bucek, James Southern, Jiangning Liu, Jim Himer, John Henning, Kevin Smith, Kristen Yang, Kunal Kashyap, Mason Guy, Mat Colgrove, Michael Berg, Prasad Battini, Prasad Joshi, Rohit Prasad, Shayantika Bhattacharya, Sriyash Caculo, Stefan Reimbold, Sundar Iyengar, Van Smith, Zarko Todorovski · 2026

  90. Inexpressibility in Exp-Minus-Log

    Mark Carney · 2026

  91. A Language for Describing Agentic LLM Contexts

    Noga Peleg Pelc, Gal A. Kaminka, Yoav Goldberg · 2026

  92. Language models fail at extended rule following

    Tianxiang Dai, Jonathan Fan · 2026

  93. Model Spec Midtraining: Improving How Alignment Training Generalizes

    Chloe Li, Nevan Wichers, Sara Price, Samuel Marks, Jon Kutasov · 2026

  94. Liberata -- Graph Scientometrics for a Share Based System of Academic Publishing

    Han Zhang, Anshuman Sabath, Timothy W. Dunn, L. Catherine Brinson · 2026

  95. AAFLOW: Scalable Patterns for Agentic AI Workflows

    Arup Kumar Sarker, Mills Staylor, Aymen Alsaadi, Gregor von Laszewski, Shantenu Jha, Geoffrey Fox · 2026

  96. Bennett's Conjecture in Lean 4: Counter-Models for the PSR-Reducibility of Spinoza's Propositions V and XIV

    Yuki Nakamura · 2026

  97. HeavySkill: Heavy Thinking as the Inner Skill in Agentic Harness

    Jianing Wang, Linsen Guo, Zhengyu Chen, Qi Guo, Hongyu Zang, Wenjie Shi, Haoxiang Ma, Xiangyu Xi, Xiaoyu Li, Wei Wang, Xunliang Cai · 2026

  98. StreamIndex: Memory-Bounded Compressed Sparse Attention via Streaming Top-k

    Jaber Jaber, Osama Jaber · 2026

  99. Autonomous LLM Agent Worms: Cross-Platform Propagation, Automated Discovery and Temporal Re-Entry Defense

    Mingming Zha, Xiaofeng Wang · 2026

  100. Same Voice, Different Lab: On the Homogenization of Frontier LLM Personalities

    Avinash Krishna, Kalyana Chadalavada, Unso Eun Seo Jo · 2026