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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7,321 to 7,380 of 117,610

Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT
Ki Woong Moon, Daniel Brenner
eess.AScs.CLarXiv:2609.36754v12026
The State of the Art in Multilayer Network Visualization
Mohammad Ghoniem, Fintan Mcgee, Guy Melançon +2
cs.SIarXiv:1902.06815v12019
LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data
Zhennan Wan, Jianfei Chen
cs.CLcs.LGarXiv:2610.30132v12026
When Noise Estimation Hides Basis Misspecification in Repeated Bayesian Inverse Problems
Rares Dimitrie Grozavescu, Mark Girolami
stat.MEmath.STstat.MLarXiv:2609.37762v12026
Detecting and Mitigating Query-Based System Prompt Leakage Attacks
Tushar Nayan, Pratik Poudel, Qian Lou +3
cs.CRcs.AIarXiv:2610.36295v12026
SpecGuard: Detecting Multi-Turn LLM Jailbreaks via Specification-Based Runtime Monitoring
Junle Li, Siqi Chen, Jiakai Li +1
cs.CRarXiv:2610.36258v12026
Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure
Ryotaro Kawata, Satoshi Hayakawa, Taiji Suzuki
cs.LGstat.MLarXiv:2609.37841v22026
Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression
Claas Flint, Micah Cearns, Nils Opel +15
q-bio.NCcs.CVeess.IVarXiv:1912.06686v22019
When Connectivity Misleads: Guiding Agentic Search with Contrastive Evidence Paths
Junchen Li, Liang Xu, Rongzheng Wang +3
cs.IRcs.AIarXiv:2610.36134v12026
SPARK: A General Goodness-of-Fit Assessment via Residual Projection
Xingwei Liu, Yuhong Yang, Wangli Xu
stat.MEmath.STstat.MLarXiv:2609.37705v12026
Layerwise Repacking: Variable-Length Hybrid-Attention Training without an Extra Redistribution Pass
Jiahao Zhang, Junwei Feng, Dongliang Huang +3
cs.LGcs.AIarXiv:2610.35989v12026
When Machine Learning Meets Congestion Control: A Survey and Comparison
Huiling Jiang, Qing Li, Yong Jiang +4
cs.NIarXiv:2010.11397v12020
A general framework for decentralized optimization with first-order methods
Ran Xin, Shi Pu, Angelia Nedić +1
cs.LGcs.MAcs.SYarXiv:2009.05837v12020
Why Adaptive Optimizers Underestimate Rare Tokens
Sangsidhya Kar
cs.LGstat.MLarXiv:2609.37535v12026
Pointwise or Pairwise: When Do Pairwise Losses Help Reward Learning, Provably?
Junghyun Lee, Minsoo Ha, Sanghwa Kim +4
cs.LGstat.MLarXiv:2609.37209v12026
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
Xuewen Zhang, Yan Qin, Chau Yuen +2
cs.LGcs.AIarXiv:2101.03678v12021
Model reduction in time: Learning flow maps for reducing stochastic dynamical systems in time
Shreya Jha, Benjamin Peherstorfer
cs.LGcs.NAmath.NAarXiv:2610.35504v12026
Self-Domain Adaptation for Face Anti-Spoofing
Jingjing Wang, Jingyi Zhang, Ying Bian +3
cs.CVarXiv:2102.12129v12021
Interpretable intrinsic dimension estimation through componentwise calibration of distance and angle
Chih-Hsuan Huang, Chih-Wei Chen, Szu-Chi Chung
cs.LGstat.MLarXiv:2609.37114v12026
When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation
Jianyu Xu, Smriti Jha, Aarti Singh +1
cs.LGstat.MLarXiv:2609.36704v12026
Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G
Hamed Ahmadi, Avishek Nag, Zaheer Khan +2
cs.NIarXiv:2108.05781v12021
Variational Graph Normalized Auto-Encoders
Seong Jin Ahn, Myoung Ho Kim
cs.LGcs.AIarXiv:2108.08046v22021
Collective Emergent Alignment: Measuring and Amplifying Interaction-Induced Reasoning Alignment in Multi-Agent LLMs
Boxuan Wang, Zhuoyun Li, Sarvapali D. Ramchurn +2
cs.AIcs.MAarXiv:2610.34836v12026
A Unified Framework for Assortment Optimization and Matching under MNL Choice
Omar El Housni, Ulysse Hennebelle
math.OCcs.GTarXiv:2610.35389v12026
A Unified Queueing-Based Framework for Comparative Evaluation of Serverless Autoscaling Strategies under Bursty Workloads
Zahra Zafarzade, Ehsan Ataie
cs.DCarXiv:2610.35564v12026
Iterative Exact Discrete Guidance for Energy-Based Sampling
Yuwen Qian, Yidong Ouyang, Zhengyan Wan +1
cs.LGstat.MLarXiv:2609.37043v12026
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
cs.CVeess.IVarXiv:2103.17195v12021
The CAPED Framework: Characterizing User Skills in Chart Authoring through the Lens of Tasks and Tools
Bongshin Lee, Zhicheng Liu, John Thompson +1
cs.HCarXiv:2610.34652v12026
Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification
Vincent D. Zaballa, Elliot E. Hui
cs.LGq-bio.QMstat.MLarXiv:2609.36950v12026
The Reachability Problem for Petri Nets is Not Primitive Recursive
Jérôme Leroux
cs.LOarXiv:2104.12695v42021
Can JEV Support Clinical Trial Criteria Assessment?
Mengxian He, Ziyue Gao, Chun Li +4
cs.LGcs.AIcs.CLarXiv:2610.35721v12026
Optimal Multi-Reward Reinforcement Learning
Zijun Chen, Zihan Zhang
cs.LGstat.MLarXiv:2609.36486v12026
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Daniele Romanini, Adam James Hall, Pavlos Papadopoulos +6
cs.LGcs.CRcs.DCarXiv:2104.00489v32021
A Finslerian Approach for Embedding Directed Data
Gwendal Debaussart-Joniec, Théau Blanchard, Argyris Kalogeratos
stat.MLcs.LGarXiv:2609.37649v12026
Post-Anomaly Detection Inference for Deep SVDD
Cao Le Cong Thanh, Dang Quang Vinh, Vo Nguyen Le Duy
stat.MLcs.LGarXiv:2609.37935v12026
Electrochemical impedance spectroscopy beyond linearity and stationarity - a critical review
Noël Hallemans, David Howey, Alberto Battistel +7
eess.SYcs.SYarXiv:2304.08126v22023
Scaling Dexterous Manipulation via Action Representation Pretraining
Yanjinghao Xu, Jiexin Zhang, Huan Zhao +5
cs.ROarXiv:2610.34453v12026
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc-Viet Pham, Rukhsana Ruby +3
cs.AIcs.HCcs.LGarXiv:2211.01036v22022
Ornstein-Uhlenbeck Is Hard to Beat, Yet Superlinear Drift Ships Lower Transport Costs
Attila Lovas, Lóránt Nagy
stat.MLcs.LGarXiv:2609.37579v12026
From Belief Inference to Task Action: A Multi-Level Evaluation of Theory of Mind on Verifiable Tasks
Zhenshuai Yin, Yongxin Guo, Mingda Zhang +4
cs.CLarXiv:2610.34759v12026
Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft
Youzheng Yu, Jiaqing Kou, Weiwei Zhang
cs.LGarXiv:2610.35963v12026
LADDER: Diagnosing Domain-Level Self-Assessment Under Noisy Feedback
Zhenshuai Yin, Jianshu Liang, Xuyue Xiong +6
cs.CLarXiv:2610.34737v12026
ReCIRC: Rectified Conformal Risk Control
Bruno Marcondes e Resende, Helton Graziadei, Thiago Rodrigo Ramos +1
stat.MLcs.LGarXiv:2609.38112v12026
Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems
Julien Boussard, Antoine Debouchage, Théo Saulus
stat.MLcs.LGmath.DSarXiv:2609.37944v32026
Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer
Yunhai Han, Kelin Yu, Rahul Batra +6
cs.ROarXiv:2112.06374v62021
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Yinghui Xing, Qirui Wu, De Cheng +4
cs.CVarXiv:2208.08340v42022
Path-Specific Geometric-Stochastic Channel Model for Scattering from ISAC Targets: A Unified Measurement-Based Characterization of Robots, Humans, and Automobiles at 28 GHz
Neeraj Varshney, Jelena Senic, Jack Chuang +5
cs.ITmath.ITarXiv:2610.34405v12026
Random ISAC Signals Deserve Dedicated Precoding
Shihang Lu, Fan Liu, Fuwang Dong +4
cs.ITeess.SPmath.ITarXiv:2311.01822v22023
The LALA Benchmark: Evaluating Literary and Linguistic Analysis in LLMs
Michael Foster, Barbara McGillivray, Gard B. Jenset +7
cs.CLarXiv:2610.34080v12026
Grid Demand Flexibility Assessment of AI Data Centers via Batch Workload Temporal Shifting
Suntao Su, Liang Du, Shengyi Wang
eess.SYcs.SYarXiv:2609.38020v12026
Unconditional Lower Bounds for the Fredman--Khachiyan Algorithms for Monotone Boolean Duality Testing
Khaled Elbassioni
cs.CCcs.DSarXiv:2610.34474v12026
Hierarchical Utility Calibration for Structured Multiclass Decisions
Futoshi Futami, Jerry Huang, Ichiro Takeuchi
stat.MLcs.LGarXiv:2609.36532v12026
Practical Stabilization of Switched Affine Systems under Dwell Time: From Polytopic to p-Norm Lyapunov Functions
Felipe Cinto, Alexis J. Vallarella, Hernan Haimovich +1
math.OCcs.SYeess.SYarXiv:2609.37840v12026
A Product-Grassmann Tucker Surrogate for Parametric Field Prediction
Melika Baghi, Xiao Liu, Kamran Paynabar
cs.CEarXiv:2610.34559v12026
Context-dependent interaction leads to emergent search behavior in social aggregates
Colin Torney, Zoltan Neufeld, Iain D. Couzin
math-phmath.MParXiv:0909.3829v12009
Information Limits of Multistage Inventory Control: Learning, Valuation, and Censoring
Hanzhang Qin, David Simchi-Levi, Ruihao Zhu
math.OCcs.SYeess.SYarXiv:2609.37380v12026
Modelling dynamic route choice of pedestrians to assess the criticality of building evacuation
A. U. Kemloh Wagoum, A. Seyfried, S. Holl
cs.OHarXiv:1103.4080v12011
Certifying Distributionally Robust Decisions from Projection Observations
Pouya Ahadi, Kamran Paynabar
stat.MLcs.AIcs.LGarXiv:2610.34493v12026
INC-MoE: Overlapping In-Network Collectives and Expert Computation for Expert-Parallel Mixture-of-Experts Inference
John Stephan, Razvan Puscasu, Xu Yong +2
cs.DCarXiv:2610.36339v12026
Distributed Private Heavy Hitters
Justin Hsu, Sanjeev Khanna, Aaron Roth
cs.DScs.CRcs.DBarXiv:1202.4910v32012

Every paper with a summary

Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT

The State of the Art in Multilayer Network Visualization

LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data

When Noise Estimation Hides Basis Misspecification in Repeated Bayesian Inverse Problems

Detecting and Mitigating Query-Based System Prompt Leakage Attacks

SpecGuard: Detecting Multi-Turn LLM Jailbreaks via Specification-Based Runtime Monitoring

Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure

Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression

When Connectivity Misleads: Guiding Agentic Search with Contrastive Evidence Paths

SPARK: A General Goodness-of-Fit Assessment via Residual Projection

Layerwise Repacking: Variable-Length Hybrid-Attention Training without an Extra Redistribution Pass

When Machine Learning Meets Congestion Control: A Survey and Comparison

A general framework for decentralized optimization with first-order methods

Why Adaptive Optimizers Underestimate Rare Tokens

Pointwise or Pairwise: When Do Pairwise Losses Help Reward Learning, Provably?

Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation

Model reduction in time: Learning flow maps for reducing stochastic dynamical systems in time

Self-Domain Adaptation for Face Anti-Spoofing

Interpretable intrinsic dimension estimation through componentwise calibration of distance and angle

When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation

Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G

Variational Graph Normalized Auto-Encoders

Collective Emergent Alignment: Measuring and Amplifying Interaction-Induced Reasoning Alignment in Multi-Agent LLMs

A Unified Framework for Assortment Optimization and Matching under MNL Choice

A Unified Queueing-Based Framework for Comparative Evaluation of Serverless Autoscaling Strategies under Bursty Workloads

Iterative Exact Discrete Guidance for Energy-Based Sampling

A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection

The CAPED Framework: Characterizing User Skills in Chart Authoring through the Lens of Tasks and Tools

Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification

The Reachability Problem for Petri Nets is Not Primitive Recursive

Can JEV Support Clinical Trial Criteria Assessment?

Optimal Multi-Reward Reinforcement Learning

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN

A Finslerian Approach for Embedding Directed Data

Post-Anomaly Detection Inference for Deep SVDD

Electrochemical impedance spectroscopy beyond linearity and stationarity - a critical review

Scaling Dexterous Manipulation via Action Representation Pretraining

Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions

Ornstein-Uhlenbeck Is Hard to Beat, Yet Superlinear Drift Ships Lower Transport Costs

From Belief Inference to Task Action: A Multi-Level Evaluation of Theory of Mind on Verifiable Tasks

Condition-Enhanced Generative Adversarial Network for Aerodynamic Configuration Design of Commercial Aircraft

LADDER: Diagnosing Domain-Level Self-Assessment Under Noisy Feedback

ReCIRC: Rectified Conformal Risk Control

Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems

Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer

Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model

Path-Specific Geometric-Stochastic Channel Model for Scattering from ISAC Targets: A Unified Measurement-Based Characterization of Robots, Humans, and Automobiles at 28 GHz

Random ISAC Signals Deserve Dedicated Precoding

The LALA Benchmark: Evaluating Literary and Linguistic Analysis in LLMs

Grid Demand Flexibility Assessment of AI Data Centers via Batch Workload Temporal Shifting

Unconditional Lower Bounds for the Fredman--Khachiyan Algorithms for Monotone Boolean Duality Testing

Hierarchical Utility Calibration for Structured Multiclass Decisions

Practical Stabilization of Switched Affine Systems under Dwell Time: From Polytopic to p-Norm Lyapunov Functions

A Product-Grassmann Tucker Surrogate for Parametric Field Prediction

Context-dependent interaction leads to emergent search behavior in social aggregates

Information Limits of Multistage Inventory Control: Learning, Valuation, and Censoring

Modelling dynamic route choice of pedestrians to assess the criticality of building evacuation

Certifying Distributionally Robust Decisions from Projection Observations

INC-MoE: Overlapping In-Network Collectives and Expert Computation for Expert-Parallel Mixture-of-Experts Inference

Distributed Private Heavy Hitters