Every paper with a summary

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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10,801 to 10,860 of 119,551

FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation
Song-Li Wu, Weinan Gan, Zhaocheng Du +2
cs.AIarXiv:2609.36670v22026
An unexpected unity among methods for interpreting model predictions
Scott Lundberg, Su-In Lee
cs.AIarXiv:1611.07478v32016
Reading the Registers of Honorius III without Manual Line Transcription: Forced-Aligned HTR, End to End, Modular or Hybrid
Tamas Kovacs, Daniel Luger
cs.CVcs.IRarXiv:2610.35085v12026
AGDecode: Semantic Attribute Grammar Derivatives for Safety-Constrained Decoding of Large Language Models
Rajan Maghera, Asher Tempest Arya, Aren A. Babikian +2
cs.SEcs.PLarXiv:2610.36105v12026
Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal Agents
Zeyu Gan, Zixuan Gong, Yong Liu
cs.AIcs.CLarXiv:2609.36892v12026
Brain Network Adaptability Across Task States
Elizabeth N. Davison, Kimberly J. Schlesinger, Danielle S. Bassett +4
q-bio.NCarXiv:1407.8234v12014
Robust Energy-Constrained Frequency Reserves from Aggregations of Commercial Buildings
Evangelos Vrettos, Frauke Oldewurtel, Göran Andersson
eess.SYcs.SYmath.OCarXiv:1506.05399v12015
FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models
Song-Li Wu, Xianquan Wang, Zhaocheng Du +2
cs.AIarXiv:2609.36671v22026
Predicting Completeness in Knowledge Bases
Luis Galárraga, Simon Razniewski, Antoine Amarilli +1
cs.DBarXiv:1612.05786v12016
SafeCoEvo: Co-Evolving Safety Harnesses and Guards for LLM Agents at Test-Time
Yu Cheng, Yongkang Hu, Shuaijie Ma +12
cs.AIarXiv:2609.36580v22026
Being judged through the record: A Rosenhan-inspired test of psychiatric label sensitivity in large language models
Shaked Rosenblum, Teddy Lazebnik, Ziv Ben-Zion
cs.CYarXiv:2610.35326v12026
ARC-KV: Amortizing Anchor Search for Reconstruction-Based KV Cache Compaction
Zheyu Shen, Guanhua Wang, Dezhan Tu +5
cs.AIarXiv:2609.36835v12026
Using transfer learning to detect galaxy mergers
Sandro Ackermann, Kevin Schawinski, Ce Zhang +2
astro-ph.IMcs.LGarXiv:1805.10289v22018
When Black-Box Robot Policies Fail: Online Sensor Diagnosis and Repair with a Transparent Surrogate
Marc Ziegler, Batu Özen, Sami Mentes +2
cs.ROarXiv:2610.36852v12026
Quantitative approximation theorem of neural operators for the Dirichlet-to-Neumann map
Pu-Yun Kow, Andrea Aspri, Elisa Francini +1
math.APcs.NAmath.NAarXiv:2610.35404v12026
Live Adaptation of Dataflow Stream Processing for Hybrid Edge-Cloud Analytics
Yuanli Wang, Prateek Jain, Lei Huang +2
cs.DCarXiv:2610.34658v12026
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
Siddharth Reddy, Anca D. Dragan, Sergey Levine
cs.LGstat.MLarXiv:1805.08010v42018
Connecting Quantum Proof Systems and Hoare Logic
Liyi Li, Zoukarneini Difaizi Tagba, Alex Potanin
cs.LOcs.PLarXiv:2610.34723v12026
UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and Training
Ashish Jain, Armaan Sandhu
cs.AIarXiv:2609.38043v12026
Stackelberg Game Approaches for Anti-jamming Defence in Wireless Networks
Luliang Jia, Yuhua Xu, Youming Sun +2
cs.GTcs.NIarXiv:1805.12308v12018
Authority Bias in Language Models: Source Deference and User Agreement Are Not Interchangeable
Abhinav Rajeev Kumar, Paras Chopra
cs.LGcs.CLarXiv:2609.37616v12026
Benchmarking System One decision models against trained classifiers and language models for automated decision gates
Amir Rafe, Subasish Das
cs.LGarXiv:2610.00346v22026
Malware Detection using Machine Learning and Deep Learning
Hemant Rathore, Swati Agarwal, Sanjay K. Sahay +1
cs.CRcs.LGarXiv:1904.02441v12019
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou +3
cs.LGcs.CVeess.IVarXiv:1907.01661v22019
Shaping Persistent Representations from Independent Interactions
Ji Dai, Quan Fang, Junyu Gao +4
cs.LGarXiv:2609.34604v12026
Physics-Guided Flow Matching: A Generative AI Framework for Global Total Electron Content Forecasting
Si-Tong Yang, Feng Ye, Xian Lu +2
cs.LGphysics.space-phstat.MLarXiv:2610.37159v12026
Beyond Site Agreement: Re-estimation for Brain Network Generalization
Yingxu Wang, Kunyu Zhang, Yanwu Yang3 +4
cs.LGarXiv:2609.34611v12026
When local gains fail to transfer: Frozen Earth-observation embeddings across wildfires
Philipp Stark, Alexandros Sopasakis, Ola Hall
cs.LGarXiv:2609.34602v12026
Toward Methods and Tools for Critical Examination of Disparate Systems for Discovery of Hidden Dependencies in Engineering of Autonomous and Semi-Autonomous Systems
Assaf Marron, David Harel
cs.SEarXiv:2610.34974v12026
Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions
Akshay Thirugnanam, Jun Zeng, Koushil Sreenath
cs.ROcs.SYeess.SYarXiv:2109.12313v42021
The Lay of the Land in Idiom-Translation Quality Estimation
Malik Marmonier, Benoît Sagot, Rachel Bawden
cs.CLarXiv:2610.35261v12026
From Data Footprints to Researcher Fingerprints: Temporal Ego-centric Research Group Detection in Scientific Knowledge Graphs
Simone Angioni, Miriam Baglioni, Andrea Mannocci +1
cs.DLcs.SIarXiv:2610.34313v12026
Toward Evidence-Based Agentic Software Engineering
Sebastian Baltes, Christoph Treude
cs.SEarXiv:2610.35348v12026
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
MyeongAh Cho, Taeoh Kim, Woo Jin Kim +2
cs.CVarXiv:2010.07524v32020
Machine Learning from a Continuous Viewpoint
Weinan E, Chao Ma, Lei Wu
math.NAcs.NAmath.OCarXiv:1912.12777v22019
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan, Xianfeng Terry Yang, Zhao Zhang +1
stat.MLcs.LGarXiv:2002.02374v12020
Deep Weighted Bellman Residual Minimization for $Q^*$ Estimation
Lican Kang, Jerry Zhijian Yang, Cheng Yuan +1
cs.LGstat.MLarXiv:2609.34593v12026
Retracing Hodgkin and Huxley: State Recovery Does Not Certify Mechanism
Peiyu Zang, Jiayi Hao, Yongqiang Cai
cs.LGarXiv:2609.34566v12026
SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization
Kamran Keykhosravi, Musa Furkan Keskin, Gonzalo Seco-Granados +1
eess.SPcs.ITmath.ITarXiv:2011.02391v22020
Learning atomic interactions for the thermodynamics of liquid mixtures
Marco Hoffmann, Sebastian Schmitt, Hans Hasse +1
cs.LGcs.CEarXiv:2610.36440v12026
Target-Aware Tracking with Long-term Context Attention
Kaijie He, Canlong Zhang, Sheng Xie +2
cs.CVarXiv:2302.13840v12023
PulseInfer: I/O-Centric Sparse KV Cache Offloading for Efficient Long-Context LLM Decoding
Qiuyang Zhang, Kai Zhou, Kai Lu +6
cs.LGarXiv:2609.34555v12026
LaSDI: Parametric Latent Space Dynamics Identification
William Fries, Xiaolong He, Youngsoo Choi
math.NAcs.NAarXiv:2203.02076v22022
Placing the Beamspace Window on a Hopping Carrier: Bin Drift, Exact Capture and the Cost of Rounding
Moris S. Mukwayi, Michael A. van Wyk, Andre M. McDonald
eess.SParXiv:2610.37067v12026
Closed-Form Subspace Loss and Snapshot-Limited Dimension Selection for Beamspace MVDR Radar
Moris S. Mukwayi, Michael A. van Wyk, Andre M. McDonald
eess.SParXiv:2610.37089v12026
How Do Coding-Agent Harnesses Self-Evolve? An Empirical Study of Retrospective Adaptation
Christoph Treude, Sebastian Baltes
cs.SEcs.AIarXiv:2610.34938v12026
Brain-Conditioned Action Policies for Neural Motor Decoding
Luyao Jin, Running Zhao, Huan Zhao +2
cs.LGarXiv:2609.34561v12026
Single-Layer MeMo as a Randomized Hamming-Kernel Classifier
Alessandro Straziota
cs.LGarXiv:2609.34562v12026
Visual Autoregressive Generation with Next Token Imagination
Ruihang Jiang, Zongyao Zhao, Zhaolin Wang +2
cs.CVarXiv:2610.36793v12026
FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction
Liang Peng, Nan Wang, Nicha Dvornek +2
cs.LGcs.SIarXiv:2112.10166v32021
Decoding algorithms for surface codes
Antonio deMarti iOlius, Patricio Fuentes, Román Orús +2
quant-pharXiv:2307.14989v62023
HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling
Chunyi Hou, Xiangfei Qiu, Hanyin Cheng +2
cs.LGarXiv:2609.34511v22026
On Parameter Symmetries and Conservation Laws in Gradient Flow
Khang Nguyen, Guido Montúfar
cs.LGmath.OCarXiv:2609.34549v12026
Nearly Tight Low Stretch Spanning Trees
Ittai Abraham, Yair Bartal, Ofer Neiman
cs.DScs.DMarXiv:0808.2017v12008
Action-Value Calibration via Continuation Sharing for Long-Horizon Agentic Reinforcement Learning
Yingjian Chen, Lang Zhou, Zixin Zhao +3
cs.LGcs.AIarXiv:2610.37195v12026
Follow the Herd: A Data-Driven Approach for Actionable Recourse
Nishtha Madaan, Srikanta Bedathur
cs.AIarXiv:2610.36580v12026
LLN: Learnable Lens Networks for Parameter-Efficient Long-Horizon Dynamical Prediction
Binbin Yong, Zhao Su, Lan Guo +3
cs.LGarXiv:2609.34493v12026
QAMM: Adjoint MeanFlow Matching for Few-Step Offline Reinforcement Learning
Yuehu Gong, Shutong Ding, Mokai Pan +4
cs.LGarXiv:2609.34497v12026
KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers
Boyu Zhang, Haorui Li
cs.LGcs.CVarXiv:2609.34507v12026
Linear Dependent Types and Relative Completeness
Ugo Dal Lago, Marco Gaboardi
cs.LOcs.PLarXiv:1104.0193v52011

Every paper with a summary

FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation

An unexpected unity among methods for interpreting model predictions

Reading the Registers of Honorius III without Manual Line Transcription: Forced-Aligned HTR, End to End, Modular or Hybrid

AGDecode: Semantic Attribute Grammar Derivatives for Safety-Constrained Decoding of Large Language Models

Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal Agents

Brain Network Adaptability Across Task States

Robust Energy-Constrained Frequency Reserves from Aggregations of Commercial Buildings

FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models

Predicting Completeness in Knowledge Bases

SafeCoEvo: Co-Evolving Safety Harnesses and Guards for LLM Agents at Test-Time

Being judged through the record: A Rosenhan-inspired test of psychiatric label sensitivity in large language models

ARC-KV: Amortizing Anchor Search for Reconstruction-Based KV Cache Compaction

Using transfer learning to detect galaxy mergers

When Black-Box Robot Policies Fail: Online Sensor Diagnosis and Repair with a Transparent Surrogate

Quantitative approximation theorem of neural operators for the Dirichlet-to-Neumann map

Live Adaptation of Dataflow Stream Processing for Hybrid Edge-Cloud Analytics

Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior

Connecting Quantum Proof Systems and Hoare Logic

UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and Training

Stackelberg Game Approaches for Anti-jamming Defence in Wireless Networks

Authority Bias in Language Models: Source Deference and User Agreement Are Not Interchangeable

Benchmarking System One decision models against trained classifiers and language models for automated decision gates

Malware Detection using Machine Learning and Deep Learning

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Shaping Persistent Representations from Independent Interactions

Physics-Guided Flow Matching: A Generative AI Framework for Global Total Electron Content Forecasting

Beyond Site Agreement: Re-estimation for Brain Network Generalization

When local gains fail to transfer: Frozen Earth-observation embeddings across wildfires

Toward Methods and Tools for Critical Examination of Disparate Systems for Discovery of Hidden Dependencies in Engineering of Autonomous and Semi-Autonomous Systems

Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions

The Lay of the Land in Idiom-Translation Quality Estimation

From Data Footprints to Researcher Fingerprints: Temporal Ego-centric Research Group Detection in Scientific Knowledge Graphs

Toward Evidence-Based Agentic Software Engineering

Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features

Machine Learning from a Continuous Viewpoint

Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications

Deep Weighted Bellman Residual Minimization for $Q^*$ Estimation

Retracing Hodgkin and Huxley: State Recovery Does Not Certify Mechanism

SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization

Learning atomic interactions for the thermodynamics of liquid mixtures

Target-Aware Tracking with Long-term Context Attention

PulseInfer: I/O-Centric Sparse KV Cache Offloading for Efficient Long-Context LLM Decoding

LaSDI: Parametric Latent Space Dynamics Identification

Placing the Beamspace Window on a Hopping Carrier: Bin Drift, Exact Capture and the Cost of Rounding

Closed-Form Subspace Loss and Snapshot-Limited Dimension Selection for Beamspace MVDR Radar

How Do Coding-Agent Harnesses Self-Evolve? An Empirical Study of Retrospective Adaptation

Brain-Conditioned Action Policies for Neural Motor Decoding

Single-Layer MeMo as a Randomized Hamming-Kernel Classifier

Visual Autoregressive Generation with Next Token Imagination

FedNI: Federated Graph Learning with Network Inpainting for Population-Based Disease Prediction

Decoding algorithms for surface codes

HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling

On Parameter Symmetries and Conservation Laws in Gradient Flow

Nearly Tight Low Stretch Spanning Trees

Action-Value Calibration via Continuation Sharing for Long-Horizon Agentic Reinforcement Learning

Follow the Herd: A Data-Driven Approach for Actionable Recourse

LLN: Learnable Lens Networks for Parameter-Efficient Long-Horizon Dynamical Prediction

QAMM: Adjoint MeanFlow Matching for Few-Step Offline Reinforcement Learning

KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers

Linear Dependent Types and Relative Completeness