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Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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65,761 to 65,820 of 104,489
Transfiver: Human-AI Co-Inference through a Shared Editable State
Minji Park, Seunghyun Yoon, Hyuk Lim
cs.AIcs.CLcs.HCarXiv:2609.03797v12026Neural Polar Codes for Source Coding
Bashar Huleihel, Ziv Aharoni, Haim H. Permuter
cs.ITarXiv:2610.13554v12026Event coincidence analysis for quantifying statistical interrelationships between event time series: on the role of flood events as possible triggers of epidemic outbreaks
Jonathan F. Donges, Carl-Friedrich Schleussner, Jonatan F. Siegmund +1
physics.soc-phphysics.data-anstat.MEarXiv:1508.03534v22015How to use and interpret activation patching
Stefan Heimersheim, Neel Nanda
cs.LGarXiv:2404.15255v12024Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
Aashish Panta, Hugo Lee, Giorgio Scorzelli +2
cs.HCcs.AIarXiv:2608.22045v12026HoloDiffusion: Training a 3D Diffusion Model using 2D Images
Animesh Karnewar, Andrea Vedaldi, David Novotny +1
cs.CVcs.GRarXiv:2303.16509v22023Spatial Throughput Maximization of Wireless Powered Communication Networks
Yue Ling Che, Lingjie Duan, Rui Zhang
cs.ITarXiv:1409.3107v22014SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs
Fahao Chen, Linkang Du, Jinhao Zhou +2
cs.LGcs.CRarXiv:2609.38830v12026SPARC: Sparse Path-Aware Residual Calibrator for Wireless Ray Tracing at Upper Mid-Band
Mingjun Ying, Guanyue Qian, Xinquan Wang +5
eess.SParXiv:2609.06077v12026Topology-Preserving Deep Image Segmentation
Xiaoling Hu, Li Fuxin, Dimitris Samaras +1
cs.CVcs.CGarXiv:1906.05404v12019Clustering attributed graphs: models, measures and methods
Cecile Bothorel, Juan David Cruz, Matteo Magnani +1
cs.SIphysics.soc-pharXiv:1501.01676v12015Dependent Random Choice
Jacob Fox, Benny Sudakov
math.COmath.PRarXiv:0909.3271v22009Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN
Zhenwei He, Lei Zhang
cs.CVarXiv:2007.01571v12020A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy, Joshua Cape, Minh Tang +1
stat.MLcs.LGarXiv:1709.05506v52017InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis
Oliver Bentham, Vivek Srikumar
cs.CLcs.AIarXiv:2604.13201v22026Linear Probing Provides Robust and Efficient Detection of Machine-Generated Text
Gerrit Quaremba, Hanqi Yan, Elizabeth Black +2
cs.CLarXiv:2608.24780v12026Enabling Creative Exploration for Vibe Design Agents
Yifan Zhang, Nghi D. Q. Bui, Georgios Evangelopoulos +1
cs.AIarXiv:2609.15078v12026Security of continuous-variable quantum key distribution against general attacks
Anthony Leverrier, Raúl García-Patrón, Renato Renner +1
quant-pharXiv:1208.4920v12012Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang +3
eess.IVcs.CVcs.LGarXiv:2111.03452v22021Reinforcement Learning via Self-Distillation
Jonas Hübotter, Frederike Lübeck, Lejs Behric +8
cs.LGcs.AIarXiv:2601.20802v22026On Maximizing a Weakly Submodular Function over a Matroid Constraint via the Greedy Algorithm
Justin Ward, Moran Feldman
cs.DSarXiv:2609.05008v12026Sapiens2
Rawal Khirodkar, He Wen, Julieta Martinez +3
cs.CVarXiv:2604.21681v12026Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Yiyang Zhou, Chenhang Cui, Rafael Rafailov +2
cs.LGcs.CLcs.CVarXiv:2402.11411v12024Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina J. Semnani, Jirayu Burapacheep, Arpandeep Khatua +3
cs.CLarXiv:2509.23233v12025The Homogenizing Effect of Large Language Models on Human Expression and Thought
Zhivar Sourati, Alireza S. Ziabari, Morteza Dehghani
cs.CLarXiv:2508.01491v22025Skim and Skip: Hierarchical Adaptive Inference for Efficient Multimodal Retrieval
Meng Gao, Yizhen Zhang, Yang Ding +10
cs.IRarXiv:2609.01613v12026EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong, Ninghao Liu, Brian Jalaian +1
cs.LGarXiv:2108.05233v22021Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan
cs.CRarXiv:1801.05507v12018Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
cs.ITeess.SParXiv:1910.14648v12019Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang +5
cs.ITcs.LGeess.SParXiv:2107.11015v12021Fast and accurate AI-based pre-decoders for surface codes
Christopher Chamberland, Jan Olle, Muyuan Li +2
quant-pharXiv:2604.12841v12026Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Letian Chen, Rohan Paleja, Matthew Gombolay
cs.ROcs.LGarXiv:2010.11723v32020Fantastic Generalization Measures and Where to Find Them
Yiding Jiang, Behnam Neyshabur, Hossein Mobahi +2
cs.LGstat.MLarXiv:1912.02178v12019Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan, Ziliang Chen, Anni Xu +3
cs.CVcs.LGarXiv:1909.13032v22019Large Growth Happens: Gaussian Elimination with Partial Pivoting on Random Matrices
Daniel A. Spielman, Xifan Yu
math.NAcs.DScs.NAarXiv:2610.08701v12026AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, David R. So +1
cs.LGcs.NEstat.MLarXiv:2003.03384v22020Software Engineering for AI-driven Building Operation
Philipp Zech, Sascha Hammes, Johannes Weninger +2
cs.SEcs.AIarXiv:2608.16237v12026Fair Algorithms for Clustering
Suman K. Bera, Deeparnab Chakrabarty, Nicolas J. Flores +1
cs.DScs.LGarXiv:1901.02393v22019Valdi: Value Diffusion World Models
Christopher Lindenberg, Kashyap Chitta
cs.LGcs.AIarXiv:2607.00917v12026InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
Jiaze Li, Aocheng Shen, Bing Liu +4
cs.SEcs.AIcs.CLarXiv:2608.29632v12026PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models
DeepCybo Team, Yu Bin, Haipeng Cao +51
cs.CVcs.ROarXiv:2609.14973v12026ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs
Chenhui Deng, Zhongzhi Yu, Guan-Ting Liu +3
cs.ARcs.LGarXiv:2602.10218v22026Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa
cs.NIcs.ITarXiv:1412.8416v12014Deep Contextual Video Compression
Jiahao Li, Bin Li, Yan Lu
eess.IVcs.CVcs.MMarXiv:2109.15047v22021ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
Jie Ruan, Inderjeet Nair, Shuyang Cao +14
cs.CLarXiv:2506.01241v32025A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models
Tina Raissi, Nhan Phan, Mikko Kurimo
cs.CLarXiv:2609.28060v12026User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things
Zhaoji Zhang, Ying Li, Chongwen Huang +4
cs.ITeess.SPmath.ITarXiv:2005.09826v12020Review of Deep Learning
Rong Zhang, Weiping Li, Tong Mo
cs.LGcs.CVcs.NEarXiv:1804.01653v22018A Theory of Contrastive Learning with Natural Images
Antonio Torralba, Yair Weiss
cs.CVarXiv:2607.07470v12026FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation
Ruiteng Zhao, Wenshuo Wang, Yicheng Ma +4
cs.ROcs.CVarXiv:2602.02142v22026A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
cs.SEcs.AIarXiv:2302.11382v12023Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Giulia Fanti, Vasyl Pihur, Úlfar Erlingsson
cs.CRarXiv:1503.01214v12015Two locked tests of phase-structure features for transition prediction
Abraham Chachamovits
cs.CLarXiv:2609.00335v12026AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Max Ku, Cong Wei, Weiming Ren +2
cs.CVcs.AIcs.MMarXiv:2403.14468v42024Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang, Quanming Yao
cs.AIcs.CLarXiv:2108.06040v22021Diagnostics for Respondent-driven Sampling
Krista J. Gile, Lisa G. Johnston, Matthew J. Salganik
stat.MEstat.AParXiv:1209.6254v12012Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, Kristjan Greenewald, Predrag Klasnja +1
cs.LGcs.AIarXiv:1909.03539v12019PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
Xutao Wang, Hanting Chen, Tianyu Guo +1
cs.LGarXiv:2607.13428v12026Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis +15
cs.LGcs.CVcs.SDarXiv:1812.11214v32018On a maximum principle in discretization with spherical harmonics
Arnold Reusken
math.NAarXiv:2610.13540v12026