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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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  1. Examining Variation in How Guided AI Tutors Resolve Student Impasses

    Sep 29, 2026Bakhtawar Ahtisham, Kirk Vanacore, Alessandra Napoli +5TutorsStudent

    Cornell University, Ithaca, NY, United States · Stanford University, Stanford, CA, United States

  2. Shallow Queries, Mature Values: Depth-Asynchronous Self-Speculation for Looped Transformers

    Sep 28, 2026Guanghao Li, Zihan Su, Hao Yu +6Speculative DecodingSelf-Speculative

    Tsinghua University · Southern University of Science and Technology · The University of Hong Kong +2

  3. Geometry-Adaptive Mechanisms for Private Synthetic Data

    Sep 27, 2026Raoof Zare Moayedi, Amir R. Asadi, Mohammad Hossein Yassaee +1Synthetic DataWasserstein Distance

    Sharif University of Technology · University of Birmingham · The Alan Turing Institute

  4. The Visual Target Matters: Learning across the Visual Hierarchy for Brain-to-Image Retrieval

    Sep 21, 2026Ye Wang, Haokun Ren, Hong Yu +4Visual PerceptionRetrieval Layer

    School of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China · College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China · Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China +1

  5. RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

    Sep 18, 2026Shuai Bai, Jiayong Deng, Sicheng Fan +30Computer-Use AgentsSynthetic Environments

    Alibaba Token Hub, Alibaba Group

  6. Storing Is Not Remembering: LSTM-UT and Bounded Gated Memory for Looped Transformers

    Sep 17, 2026Aras Kavuncu, Muhammad Burhan HafezTransformer ArchitecturesNeural Cellular Automata

    University of Southampton, Electronics and Computer Science

  7. Temporal Recurrence Favors Fewer Layers

    Sep 14, 2026Ivan Anokhin, Johan Obando-Ceron, Irina Rish +1Recurrent ModelRecurrence

    Mila – Qu´ebec AI Institute · Universit´e de Montr´eal · Sakana AI

  8. Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modeling

    Aug 29, 2026Yifan Feng, Guanjie Cheng, Shihui Ying +2ProteinGeometric Machine Learning

    1{School of Software, BNRist, THUIBCS}, Tsinghua University, Beijing 100084, China · School of Software Technology, Zhejiang University, Ningbo 315100, China · 3Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200072, China +1

  9. Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models

    Aug 27, 2026Frederik BerenzJoint-Embedding Predictive ArchitecturesVision Encoders

    121-labs.com Remscheid, Germany

  10. Chain-of-Thought Shows the Path to a Tree: Realizing Branching Complexity

    Aug 12, 2026Debanjan Dutta, Anish Chakrabarty, Swagatam DasCircuit DepthChain-of-Thought Reasoning

    Indian Statistical Institute Kolkata, India · LTCI, Télécom Paris Palaiseau, France

  11. Near-sensor Computing for Rapid Visuotactile Perception

    Aug 6, 2026Zhengying Zhu, Ruilin Zhang, Runze Hu +1TactileRobotic Perception

    School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China

  12. RASP-QAOA: Resource-Aware Per-Instance Selection for Exact QAOA Simulation

    Aug 6, 2026Chih-Chung HsuQuantum Approximate Optimization AlgorithmRepair-Assignment Problem

    Institute of Smart Industry and Green Energy, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

  13. Algorithmic Separation between Constant-Depth and Logarithmic-Depth Neural Networks

    Jul 28, 2026Yunwei Ren, Zihao Wang, Jason D. LeeDeep NetworkTwo-Layer Neural Networks

    Princeton University · Stanford University · University of California, Berkeley

  14. When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation

    Jul 25, 2026Mojtaba SoltanalianFull-Precision PerformanceCircuit Depth

    Department of Electrical and Computer Engineering University of Illinois Chicago 851 S. Morgan St., MC 154 Chicago, IL 60607, USA

  15. HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology

    Jul 23, 2026Kritanu Chattopadhyay, Soumya Chatterjee, Ondrej Krejcar +1Spatial TranscriptomicsDigital Pathology

    Department of Mechanical Engineering, National Institute of Technology Durgapur,, Durgapur, 713209, West Bengal, India · Department of Electrical Engineering, National Institute of Technology Durgapur,, Durgapur, 713209, West Bengal, India · Research Center, Skoda Auto University, Na Karmeli 1457, Mlada Boleslav, 293 01,, Czech Republic +1

  16. RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity

    Jul 20, 2026Junho Kim, Seongwon Lee3D Semantic Occupancy PredictionOccupancy

    School of Electrical Engineering, Kookmin University, Seoul 02707, South Korea

  17. The Value of Depth in Message Passing on Sparse Graphs: A Kesten-Stigum Dichotomy

    Jul 18, 2026Aseem Raj BaranwalMessage Passing Neural NetworksCircuit Depth

  18. Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models

    Jul 15, 2026Hefeng Zhou, Jinxuan Zhang, Jiong Lou +4LLM Reasoning StrategiesLarge Reasoning Models

    Shanghai Artificial Intelligence Laboratory · Shanghai Jiao Tong University

  19. DeepLoop: Depth Scaling for Looped Transformers

    Jul 15, 2026Shuzhen Li, Yifan Zhang, Jiacheng Guo +2Transformer Residual StreamsTransformer Architectures

    Princeton University · University of California, Los Angeles

  20. ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning

    Jul 14, 2026Zijie Wang, Wei Zhang, Weiming Zhang +4Monocular Depth EstimationDepth Estimation

    School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China · Shenzhen Loop Area Institute, Shenzhen, 518038, China · Baidu Inc., Shenzhen, 518066, China +3

  21. Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity

    Jul 6, 2026Julia Nakhleh, Robert D. NowakRectified Linear Unit NetworksDeep Network

    Department of Computer Science · University of Wisconsin-Madison · Department of Electrical & Computer Engineering

  22. Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation

    Jul 1, 2026Zhaowen Zhu, Li Zhang, Yujie Chen +3Monocular Depth EstimationAutonomous Driving Perception

    Hefei University of Technology, Hefei, China · Chengpin Home Tech, Nanjing, China · Differential Robotics, Hangzhou, China +1

  23. Dimensionality Reduction of QAOA Parameter Space with Kernel PCA for Max-Cut

    Jun 17, 2026Sidharth Brahmandam, Vayd RamkumarQuantum Approximate Optimization AlgorithmVariational Quantum Algorithms

    Naperville North High School · Independent Researcher

  24. An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammars

    Jun 16, 2026Vinoth Nandakumar, Qiang Qu, Pramod Thebe +2Transformer ArchitecturesCircuit Depth

    University of Sydney · San Francisco State University · IIT Madras

  25. Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding

    Jun 9, 2026Ana-Maria Pangeva, Yassine Ferhi, Alexander Geng +3Low-Rank StructureCircuit Depth

    Fraunhofer Institute for Industrial Mathematics ITWM · Technical University of Sofia · Sofia, Bulgaria +6

  26. Modeling Depth Ambiguity: A Mixture-Density Representation for Flying-Point-Free Depth Estimation

    Jun 1, 2026Siyuan Bian, Congrong Xu, Jun GaoDepth Estimation3D Perception

    University of Michigan · NVIDIA

  27. A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation

    May 25, 2026Zhengrui Guo, Zhengyu Zhang, Jiabo Ma +23Pathology Foundation ModelsLung-Nodule Artificial Intelligence

    Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China · Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China · Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China +15

  28. How Many Tools Should an LLM Agent See? A Chance-Corrected Answer

    May 23, 2026Vyzantinos Repantis, Ameya Gawde, Harshvardhan Singh +1Large Language Model AgentsLarge Language Model Tool Use

    Meta Platforms

  29. Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies

    May 20, 2026Ming LiuSyntactic StructureCircuit Depth

    Amazon

  30. O(n)\mathcal{O}(n) alternative to Quantum Fourier Transform with efficient neural net classical post-processing

    May 16, 2026Kaiming Bian, Zujin Wen, Oscar DahlstenFourierFisher Information Matrix

    Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China · Department of Physics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China

  31. CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG

    May 12, 2026Jianghan Shen, Siqi Luo, Xinyu Cheng +6Agentic Retrieval-Augmented Generation SystemsReinforcement Learning With Verifiable Reward

    1Nanjing University · 2Shanghai Artificial Intelligence Laboratory · University of Hong Kong +1

  32. Criticality and Saturation in Orthogonal Neural Networks

    May 7, 2026Max Guillen, Jan E. GerkenTwo-Layer Neural NetworksNeural Network

    Department of Mathematical Sciences Chalmers University of Technology University of Gothenburg SE-412 96 Gothenburg, Sweden

  33. AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning

    Apr 19, 2026Jingbo Sun, Wenyue Chong, Songjun Tu +7Agentic Retrieval-Augmented Generation SystemsCircuit Depth

    SKL-MAIS, Institute of Automation, Chinese Academy of Sciences · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences +1

  34. Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining

    Jan 27, 2026Yunwei Ren, Yatin Dandi, Florent Krzakala +1Deep NetworkLearnability

    Princeton University · École Polytechnique Fédérale de Lausanne · University of California, Berkeley