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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13,801 to 13,860 of 117,815

Virtual Machine Warmup Blows Hot and Cold
Edd Barrett, Carl Friedrich Bolz-Tereick, Rebecca Killick +2
cs.PLarXiv:1602.00602v62016
Recall-Oriented Precise Binary-to-Source Function Matching
Junlin Li, Jianjun Huang, Wei You +1
cs.SEarXiv:2610.23546v12026
New Classes of Permutation Binomials and Permutation Trinomials over Finite Fields
Kangquan Li, Longjiang Qu, Xi Chen
cs.ITmath.ITmath.NTarXiv:1508.07590v12015
Deep Learning for Tumor Classification in Imaging Mass Spectrometry
Jens Behrmann, Christian Etmann, Tobias Boskamp +3
stat.MLcs.LGarXiv:1705.01015v32017
Improving the Diversity of LLM Outputs without a Trade-off
Ryoma Sato
cs.CLcs.AIcs.LGarXiv:2609.33038v12026
AdvAgent: Controllable Blackbox Red-teaming on Web Agents
Chejian Xu, Mintong Kang, Jiawei Zhang +5
cs.CRcs.CLarXiv:2410.17401v42024
A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8
Basil Sajid Shaikh
cs.AIcs.CVarXiv:2609.34015v22026
Heart Rate Variability as a Predictive Biomarker of Thermal Comfort
Kizito Nkurikiyeyezu, Yuta Suzuki, Guillaume Lopez
eess.SParXiv:2005.08031v32020
PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
Udari Madhushani Sehwag, Shayan Shabihi, Alex McAvoy +4
cs.CYcs.AIcs.LGarXiv:2511.20703v12025
Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications
Raphael Shu, Nilaksh Das, Michelle Yuan +2
cs.CLcs.AIarXiv:2412.05449v12024
Imprompter: Tricking LLM Agents into Improper Tool Use
Xiaohan Fu, Shuheng Li, Zihan Wang +4
cs.CRarXiv:2410.14923v22024
Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications
Changyue Jiang, Xudong Pan, Geng Hong +3
cs.CRarXiv:2411.14110v22024
MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security
Yongjian Guo, Puzhuo Liu, Wanlun Ma +5
cs.CRcs.AIcs.SEarXiv:2508.12538v22025
ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction
Haoyu Wang, Christopher M. Poskitt, Jiali Wei +1
cs.AIcs.SEarXiv:2508.00500v42025
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Stephen Casper, Lennart Schulze, Oam Patel +1
cs.CRcs.AIcs.LGarXiv:2403.05030v62024
Towards Action Hijacking of Large Language Model-based Agent
Yuyang Zhang, Kangjie Chen, Jiaxin Gao +4
cs.CRarXiv:2412.10807v22024
VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces
Artem Grigor, Christian Schroeder de Witt, Simon Birnbach +1
cs.CRcs.AIarXiv:2512.15892v12025
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge
Weikai Lu, Ziqian Zeng, Jianwei Wang +5
cs.CLarXiv:2404.05880v32024
Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation
Saeid Jamshidi, Arghavan Moradi Dakhel, Kawser Wazed Nafi +1
cs.CRcs.AIarXiv:2512.06556v22025
SoK: Trust-Authorization Mismatch in LLM Agent Interactions
Guanquan Shi, Haohua Du, Zhiqiang Wang +4
cs.CRcs.AIarXiv:2512.06914v22025
The LLMbda Calculus: AI Agents, Conversations, and Information Flow
Zac Garby, Andrew D. Gordon, David Sands
cs.PLcs.AIcs.CRarXiv:2602.20064v22026
SMCP: Secure Model Context Protocol
Xinyi Hou, Shenao Wang, Yifan Zhang +4
cs.CRarXiv:2602.01129v12026
Authenticated Workflows: A Systems Approach to Protecting Agentic AI
Mohan Rajagopalan, Vinay Rao
cs.CRcs.AIcs.DCarXiv:2602.10465v12026
Mind the GAP: Text Safety Does Not Transfer to Tool-Call Safety in LLM Agents
Arnold Cartagena, Ariane Teixeira
cs.AIcs.SEarXiv:2602.16943v12026
BMuon: Budgeting Muon's Spectral Geometry for Structured Compressibility
Rida Assalouh, Tom Jacobs, Rebekka Burkholz +2
cs.LGarXiv:2610.23571v12026
When Consent Outlives Context: Residual Authority Replay in Long-Lived Agents
Zhihao Zhang, Chao Wang, Rujia Li +3
cs.AIarXiv:2609.33910v12026
FLoTS-SLAM: Optical Flow-Derived Uncertainty for Monocular Dynamic SLAM with Two-Stage Optimization
Haorui Du, Lipu Zhou
cs.ROarXiv:2610.23496v12026
Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles
Zhihong Tian, Xiangsong Gao, Shen Su +1
cs.NIarXiv:1902.03994v22019
Agentic Physics-Grounded Video Generation via Memory-Augmented In-Context Reasoning
Xikang Guan, Shaocong Yang, Yanqi Bao +6
cs.CVarXiv:2610.23677v12026
EHRAdapt: Adapting Pretrained Language Models to Electronic Health Records with Semantic Priors for Rare Clinical Events
Andre R Goncalves, Vincent Liu, Priyadip Ray
cs.AIarXiv:2609.34007v22026
PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas
Haoming Li, Defu Cao, Xu Hu +23
cs.HCcs.AIcs.CYarXiv:2610.22990v12026
Electric Vehicle Charge Scheduling Mechanism to Maximize Cost Efficiency and User Convenience
Hwei-Ming Chung, Wen-Tai Li, Chau Yuen +2
math.OCarXiv:1803.04750v22018
Designing Reliable LLM-as-a-Judge Measurement Systems for Multi-Turn Business Agents
Kaiwen Luo, Ming Gao
cs.AIarXiv:2609.33955v12026
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations
Andrew R. Winters, Rodrigo C. Moura, Gianmarco Mengaldo +4
math.NAcs.NAarXiv:1711.10180v22017
Sampling the XY model with an attention-based neural network
Piotr Białas, Christian D. Morales, Tomasz Stebel +1
cond-mat.dis-nncond-mat.stat-mechcs.LGarXiv:2610.23783v12026
Plug-and-Play Approach to Non-adiabatic Geometric Quantum Gates
Bao-Jie Liu, Xue-Ke Song, Zheng-Yuan Xue +2
quant-pharXiv:1806.07904v42018
HyperMCTS: Hypergraph-Augmented MCTS for Long-Horizon LLM Agents
Tingsong Xiao, Nithish Balachandar Moudhgalya, Chandrayee Basu +5
cs.AIarXiv:2609.33920v12026
Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges
Donghao Huang, Jinling Pei, Zhaoxia Wang
cs.AIcs.LGarXiv:2609.33878v22026
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments
Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu +3
cs.NIcs.LGeess.SParXiv:1909.11800v12019
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
Zihao Zhao, Jiawei Chen, Sheng Zhou +4
cs.IRarXiv:2109.07946v12021
Aligning Language Models Towards Counterfactual Invariance
Basar Demir, Emily Shen, Ksheeraj Sai Vepuri +5
cs.CLcs.AIcs.LGarXiv:2610.22942v12026
When Successful Strategies Fail: Adaptation to Environmental Novelty in Terminal Agents
Janvijay Singh, Vaishnavi Shrivastava, Dilek Hakkani-Tur +2
cs.AIarXiv:2609.33870v12026
Adv-Camou: An Emissivity-based Physical Dynamic Adversarial Patch for Infrared Attack
Zhuo Chen, Xu Zheng, Runyun He +10
eess.IVarXiv:2610.22434v12026
How code helps different tasks? A decompositional lens on LLM post-training
Zheng Yu, Yiwei Li, Yishen Chen +4
cs.AIarXiv:2609.33845v12026
A Polynomial-Time Algorithm for the Minimal Input/Output Node Cardinality Disturbance Decoupling Problem via Output Feedback
Luca Claude Gino Lebon, Jorke de Vlas, Johannes K. Fichte +1
eess.SYcs.SYmath.OCarXiv:2610.22735v12026
Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems
Dimitrios Michael Manias, Abdallah Shami
cs.NIcs.LGarXiv:2102.10142v12021
Test-Time Forecasting: Recurrent Depth Enables In-Context Dynamics Prediction
Jeffrey B. Lai, John Quinn, Anthony Bao +1
cs.LGarXiv:2610.19552v12026
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
cs.LGcs.CEcs.HCarXiv:2209.06257v32022
Vestrum: Improving Agent Harnesses by Adapting Their Verification, Structure and Memory
Jayant Parashar, Eugene F. Douglass, William C. Bastian +1
cs.AIarXiv:2609.33822v12026
Evidence-Inference Reconstruction: When The Evidence Is Recalled But The Reasoning Goes Wrong
Megan Diehl, Ser-Nam Lim
cs.AIarXiv:2609.33778v12026
Data-Centric Artificial Intelligence
Johannes Jakubik, Michael Vössing, Niklas Kühl +2
cs.AIarXiv:2212.11854v42022
Is your uncertainty map wrong, or is its target? Exact diagnostics for the Tweedie diagonal, and a gradient-free alternative
Vicent Ribas, Anna Oliveras Tous
cs.AIarXiv:2609.33786v12026
Graph Neural Network-based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
q-bio.NCcs.LGq-bio.QMarXiv:2310.02152v22023
Robust Biomolecular Complex Design Across Protein Conformational Landscapes
Qingyuan Zeng, Zongqi Xu, Anglin Liu +7
cs.AIq-bio.QMarXiv:2609.33726v22026
Unconditional Quantum PAC Learning Advantage in the Large Error Regime
Igor C. Oliveira
cs.CCquant-pharXiv:2610.23268v12026
Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph
Aditya Bhaskara, Moses Charikar, Venkatesan Guruswami +2
cs.DScs.CCarXiv:1110.1360v12011
Packet Loss Analysis Under Doppler Effects and Reinforcement-Learning-Based Resource Allocation for Direct-to-Satellite LoRaWAN
Alireza Maleki, Ebrahim Bedeer, Robert Barton
eess.SParXiv:2610.23682v12026
Learning of Behavior Trees for Autonomous Agents
Michele Colledanchise, Ramviyas Parasuraman, Petter Ögren
cs.ROcs.AIcs.LGarXiv:1504.05811v12015
Joining Large String Collections with Jaro-Winkler Similarity
Manuel Lankes, Daniel Kocher, Daniel Schmitt +5
cs.DBarXiv:2610.23652v12026
A Finite Element Method for the Surface Biharmonic Problem without Stabilization or Piola Transforms
Jiachen Gu, Xia Ji, Shuo Zhang
math.NAcs.NAarXiv:2610.23492v12026

Every paper with a summary

Virtual Machine Warmup Blows Hot and Cold

Recall-Oriented Precise Binary-to-Source Function Matching

New Classes of Permutation Binomials and Permutation Trinomials over Finite Fields

Deep Learning for Tumor Classification in Imaging Mass Spectrometry

Improving the Diversity of LLM Outputs without a Trade-off

AdvAgent: Controllable Blackbox Red-teaming on Web Agents

A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8

Heart Rate Variability as a Predictive Biomarker of Thermal Comfort

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach

Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications

Imprompter: Tricking LLM Agents into Improper Tool Use

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications

MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Defending Against Unforeseen Failure Modes with Latent Adversarial Training

Towards Action Hijacking of Large Language Model-based Agent

VET Your Agent: Towards Host-Independent Autonomy via Verifiable Execution Traces

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge

Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation

SoK: Trust-Authorization Mismatch in LLM Agent Interactions

The LLMbda Calculus: AI Agents, Conversations, and Information Flow

SMCP: Secure Model Context Protocol

Authenticated Workflows: A Systems Approach to Protecting Agentic AI

Mind the GAP: Text Safety Does Not Transfer to Tool-Call Safety in LLM Agents

BMuon: Budgeting Muon's Spectral Geometry for Structured Compressibility

When Consent Outlives Context: Residual Authority Replay in Long-Lived Agents

FLoTS-SLAM: Optical Flow-Derived Uncertainty for Monocular Dynamic SLAM with Two-Stage Optimization

Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles

Agentic Physics-Grounded Video Generation via Memory-Augmented In-Context Reasoning

EHRAdapt: Adapting Pretrained Language Models to Electronic Health Records with Semantic Priors for Rare Clinical Events

PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas

Electric Vehicle Charge Scheduling Mechanism to Maximize Cost Efficiency and User Convenience

Designing Reliable LLM-as-a-Judge Measurement Systems for Multi-Turn Business Agents

A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations

Sampling the XY model with an attention-based neural network

Plug-and-Play Approach to Non-adiabatic Geometric Quantum Gates

HyperMCTS: Hypergraph-Augmented MCTS for Long-Horizon LLM Agents

Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges

Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments

Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation

Aligning Language Models Towards Counterfactual Invariance

When Successful Strategies Fail: Adaptation to Environmental Novelty in Terminal Agents

Adv-Camou: An Emissivity-based Physical Dynamic Adversarial Patch for Infrared Attack

How code helps different tasks? A decompositional lens on LLM post-training

A Polynomial-Time Algorithm for the Minimal Input/Output Node Cardinality Disturbance Decoupling Problem via Output Feedback

Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems

Test-Time Forecasting: Recurrent Depth Enables In-Context Dynamics Prediction

A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge

Vestrum: Improving Agent Harnesses by Adapting Their Verification, Structure and Memory

Evidence-Inference Reconstruction: When The Evidence Is Recalled But The Reasoning Goes Wrong

Data-Centric Artificial Intelligence

Is your uncertainty map wrong, or is its target? Exact diagnostics for the Tweedie diagonal, and a gradient-free alternative

Graph Neural Network-based EEG Classification: A Survey

Robust Biomolecular Complex Design Across Protein Conformational Landscapes

Unconditional Quantum PAC Learning Advantage in the Large Error Regime

Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph

Packet Loss Analysis Under Doppler Effects and Reinforcement-Learning-Based Resource Allocation for Direct-to-Satellite LoRaWAN

Learning of Behavior Trees for Autonomous Agents

Joining Large String Collections with Jaro-Winkler Similarity

A Finite Element Method for the Surface Biharmonic Problem without Stabilization or Piola Transforms