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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22,801 to 22,860 of 119,984

Langevin method for a continuous stochastic car-following model and its stability conditions
D. Ngoduy, S. Lee, M. Treiber +2
physics.soc-phstat.AParXiv:1907.06148v12019
Multi-mode OAM Radio Waves: Generation, Angle of Arrival Estimation and Reception With UCAs
Rui Chen, Wen-Xuan Long, Xiaodong Wang +1
eess.SParXiv:2007.00881v22020
Real-Time Hand Gesture Recognition for OpenXR Using Transformer-Based Machine Learning
Salar Rezayani, Russell Butler
cs.AIarXiv:2609.25466v12026
Entropy Regularization for Mean Field Games with Learning
Xin Guo, Renyuan Xu, Thaleia Zariphopoulou
math.OCcs.LGstat.MLarXiv:2010.00145v22020
Tree-based machine learning performed in-memory with memristive analog CAM
Giacomo Pedretti, Catherine E. Graves, Can Li +5
cs.ETarXiv:2103.08986v22021
Asynchronous, Generation-Free ABC: Streaming AMIS Reweighting for Heterogeneous Simulator Workloads on HPC
Julian Herold, Markus Götz, Alexander Schug
stat.COcs.LGarXiv:2610.29506v12026
A Quasipolynomial Algorithm for $\ell_\infty$ Contractions
Ashkan Soleymani, Gabriele Farina
cs.GTcs.CCcs.LGarXiv:2610.30122v12026
Stable Unsupervised Continual Chunking with Sheaf SyncMap
Xueyuan Li, Danilo Vasconcellos Vargas
cs.LGcs.AIarXiv:2609.25143v12026
Private Online Prediction from Experts with Small Losses
Bo Li, Peng Ye
cs.LGstat.MLarXiv:2610.29575v12026
DISRL: Dual-Scale Incremental Semi-Supervised Reinforcement Learning for Dynamic Community Tracking
Tianming Zhang, Jinxu Wang, Yixuan Zhang +4
cs.LGarXiv:2610.29315v12026
Learning to Reason Like a Cytopathologist:Clinically Grounded Multiscale Evidential Learning for Cervical Cytology
Ajeet Kumar Singh, Nehal Mishra, Anurag Tripathi +2
cs.CVarXiv:2610.29665v12026
ZeroGate: Trust-Preserving Fast Paths for Governed AI Agent Runtimes
Zexun Wang
cs.AIcs.CRcs.DCarXiv:2609.25443v12026
Towards Flexible Device Participation in Federated Learning
Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang +1
cs.LGstat.MLarXiv:2006.06954v22020
Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds
Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara
eess.AScs.SDstat.MLarXiv:2010.13366v22020
Spectra: A Rules-Driven LLM Pipeline for Automated KYC Document Processing
Miray Wahib, Ethan Tran, Rea Mourad +2
cs.AIarXiv:2609.25474v12026
ShowTellArena: Evaluating Business Workflow Understanding from Demonstrations
David Garg, Ritobrata Sarkar, Ehsan Azarnasab +1
cs.AIarXiv:2609.25467v12026
Warning: Humans Cannot Reliably Detect Speech Deepfakes
Kimberly T. Mai, Sergi D. Bray, Toby Davies +1
cs.HCcs.SDeess.ASarXiv:2301.07829v22023
Making Agents More Consistent: Skills Should Form Habits for Repeat Tasks
Travis Weber, Rohit Taneja
cs.AIcs.CRarXiv:2609.25299v12026
C$^2$U in RAG: Compositional Concept Unlearning in Retrieval-Augmented Generation
Yiyang Duan, Fan Wu, Tiantong Wu +5
cs.CLarXiv:2610.29223v12026
VoxProg: 3D Spatial Reasoning through Voxel Programming
Zhichao Zhai, Menglei Zhao, Guikun Chen +4
cs.CVarXiv:2610.30127v12026
From Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought
Renee Jia, Di Mu
cs.AIarXiv:2609.25366v12026
Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures
Andrew Ren, Haokun Liu, Chenhao Tan
cs.AIarXiv:2609.25400v12026
AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation
Likui Zhang, Zhe Zhu, Zhihao Zhan +7
cs.ROcs.AIcs.CVarXiv:2610.30097v12026
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Xuefeng Du, Xin Wang, Gabriel Gozum +1
cs.CVarXiv:2203.03800v12022
Understanding the Inner Workings of a State-Space Foundation Model for Limit Order Books
Valentin Mohl, Alexandre Bismuth, Aramis Marti-Shahandeh +6
q-fin.TRcs.LGarXiv:2610.28753v12026
Clarification Is Not Correction: LLMs Fail to Let Go
Jianzhe Lin, Xiaolin Li, Fei Wang +3
cs.AIarXiv:2609.25337v12026
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
Zongyang Ma, Guan Luo, Jin Gao +5
cs.CVarXiv:2203.10593v12022
Potential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing
Brian Wright
cs.AIstat.COarXiv:2609.25303v12026
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
Jiamin Liang, Xin Yang, Yuhao Huang +7
eess.IVcs.CVcs.LGarXiv:2204.06929v32022
Inequitable Access to EV Charging Infrastructure
Hafiz Anwar Ullah Khan, Sara Price, Charalampos Avraam +1
eess.SYcs.SYarXiv:2111.05437v12021
Unsupervised Neural Hidden Markov Models
Ke Tran, Yonatan Bisk, Ashish Vaswani +2
cs.CLcs.LGarXiv:1609.09007v12016
Theory and Experiments on Vector Quantized Autoencoders
Aurko Roy, Ashish Vaswani, Arvind Neelakantan +1
cs.LGstat.MLarXiv:1805.11063v22018
Hint-Based Training for Non-Autoregressive Machine Translation
Zhuohan Li, Zi Lin, Di He +4
cs.CLcs.LGstat.MLarXiv:1909.06708v12019
Optimal Scheduling for Fair Resource Allocation in Ad Hoc Networks with Elastic and Inelastic Traffic
Juan Jose Jaramillo, R. Srikant
cs.NIarXiv:0907.5402v82009
Toward Trustworthy Neural Program Synthesis
Darren Key, Wen-Ding Li, Kevin Ellis
cs.SEcs.AIcs.LGarXiv:2210.00848v22022
Attention as a Routing Graph: Live Circuit Extraction from a Single Forward Pass
Ash Manvi, Samreena Tajreen
cs.AIcs.LGarXiv:2609.25285v12026
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
Aftab Hussain, Md Rafiqul Islam Rabin, Toufique Ahmed +3
cs.SEcs.LGarXiv:2405.02828v12024
Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code
Zhou Yang, Zhensu Sun, Terry Zhuo Yue +2
cs.SEarXiv:2403.07506v12024
Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching
Yunpeng Mei, Xiaowen Zhu, Chenyu Wang +5
cs.LGarXiv:2610.30107v12026
Enumeration-based Triangle Counting on GPUs
Sayan Ghosh
cs.DCarXiv:2610.29988v12026
EPIC: Rethinking Trust Regions for Autoregressive LLM Policies via Exact-KL Prefix Importance-Ratio Clipping
Chengxi Li, Hanlin Wu, Zhicheng Cai +4
cs.LGarXiv:2610.29999v12026
Learned Enterprise Data Comprehension: Compression and Routing for Data Agents
Ethan Torres, Eric Mills
cs.AIarXiv:2609.25286v12026
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Ming Jin, Enwei Zhu, Changde Du +2
cs.HCq-bio.NCarXiv:2302.02520v12023
SEAM: Spectral Embedding Alignment and Merging for Low-Resource TTS
Walaa Othman, Baher Mohammad, Stamatios Lefkimmiatis +1
cs.LGarXiv:2610.26252v12026
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
Akshat Gupta, Anurag Rao, Gopala Anumanchipalli
cs.CLcs.AIcs.IRarXiv:2401.07453v42024
MAPS: Macro-Adaptive Parallel Reasoning for Regulating Search Momentum in Retrieval-Augmented Generation
Xinze Li, Dingwen Zhang, Zhenghao Liu +5
cs.CLarXiv:2610.29792v12026
Physics-Transfer Learning: A Physics-Constrained Theory for Zero-Shot Generalization Along the Ladder of Complexity
Yingjie Zhao, Zhiping Xu
physics.comp-phcs.LGnlin.PSarXiv:2610.22376v12026
Position: Topological Deep Learning is the New Frontier for Relational Learning
Theodore Papamarkou, Tolga Birdal, Michael Bronstein +19
cs.LGstat.MLarXiv:2402.08871v32024
Bounded Autonomy and Verifiable Safety for Agentic AI Enabled Automation
Srini Ramaswamy, Deveeshree Nayak
cs.LGcs.ETcs.SYarXiv:2610.08815v12026
When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning
Jianzhe Lin, Xiaolin Li, Yunda Liu +2
cs.AIarXiv:2609.25284v12026
Large Language Models for Networking: Applications, Enabling Techniques, and Challenges
Yudong Huang, Hongyang Du, Xinyuan Zhang +5
cs.NIarXiv:2311.17474v12023
Calibration of Large Language Models on Code Summarization
Yuvraj Virk, Premkumar Devanbu, Toufique Ahmed
cs.SEcs.CLarXiv:2404.19318v32024
An Empirical Comparison of Instance Attribution Methods for NLP
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace +1
cs.CLcs.LGarXiv:2104.04128v12021
Calibration and Correctness of Language Models for Code
Claudio Spiess, David Gros, Kunal Suresh Pai +6
cs.SEcs.LGarXiv:2402.02047v42024
A Tutorial on Movable Antenna-Enabled ISAC Systems: Fundamentals, Parameter Estimation, and Security Issues
Zhendong Li, Zhou Su, Jianle Ba +14
eess.SParXiv:2610.00218v12026
Multi-view Laplacian Support Vector Machines
Shiliang Sun
cs.LGstat.MLarXiv:1307.7024v12013
Cluster consensus in discrete-time networks of multi-agents with inter-cluster nonidentical inputs
Yujuan Han, Wenlian Lu, Tianping Chen
math.OCarXiv:1201.2803v22012
Training-free Acceleration for Blind Compressed Image Restoration via Activation-Calibrated Singular Value Decomposition
Suhang Yao, Xin Li, Xijun Wang +3
cs.CVarXiv:2610.29959v22026
Robust Soft Skill Adaptation via Behavioral Localization in Tool-Using Agents
Zijian Jiang, Xilu Wang
cs.AIarXiv:2610.30041v12026
On Three-Valued Dependence-Like Logics
Yaroslav Petrukhin
cs.LOmath.LOarXiv:2610.08293v12026

Every paper with a summary

Langevin method for a continuous stochastic car-following model and its stability conditions

Multi-mode OAM Radio Waves: Generation, Angle of Arrival Estimation and Reception With UCAs

Real-Time Hand Gesture Recognition for OpenXR Using Transformer-Based Machine Learning

Entropy Regularization for Mean Field Games with Learning

Tree-based machine learning performed in-memory with memristive analog CAM

Asynchronous, Generation-Free ABC: Streaming AMIS Reweighting for Heterogeneous Simulator Workloads on HPC

A Quasipolynomial Algorithm for $\ell_\infty$ Contractions

Stable Unsupervised Continual Chunking with Sheaf SyncMap

Private Online Prediction from Experts with Small Losses

DISRL: Dual-Scale Incremental Semi-Supervised Reinforcement Learning for Dynamic Community Tracking

Learning to Reason Like a Cytopathologist:Clinically Grounded Multiscale Evidential Learning for Cervical Cytology

ZeroGate: Trust-Preserving Fast Paths for Governed AI Agent Runtimes

Towards Flexible Device Participation in Federated Learning

Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds

Spectra: A Rules-Driven LLM Pipeline for Automated KYC Document Processing

ShowTellArena: Evaluating Business Workflow Understanding from Demonstrations

Warning: Humans Cannot Reliably Detect Speech Deepfakes

Making Agents More Consistent: Skills Should Form Habits for Repeat Tasks

C$^2$U in RAG: Compositional Concept Unlearning in Retrieval-Augmented Generation

VoxProg: 3D Spatial Reasoning through Voxel Programming

From Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought

Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures

AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

Understanding the Inner Workings of a State-Space Foundation Model for Limit Order Books

Clarification Is Not Correction: LLMs Fail to Let Go

Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation

Potential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Inequitable Access to EV Charging Infrastructure

Unsupervised Neural Hidden Markov Models

Theory and Experiments on Vector Quantized Autoencoders

Hint-Based Training for Non-Autoregressive Machine Translation

Optimal Scheduling for Fair Resource Allocation in Ad Hoc Networks with Elastic and Inelastic Traffic

Toward Trustworthy Neural Program Synthesis

Attention as a Routing Graph: Live Circuit Extraction from a Single Forward Pass

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code

Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching

Enumeration-based Triangle Counting on GPUs

EPIC: Rethinking Trust Regions for Autoregressive LLM Policies via Exact-KL Prefix Importance-Ratio Clipping

Learned Enterprise Data Comprehension: Compression and Routing for Data Agents

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

SEAM: Spectral Embedding Alignment and Merging for Low-Resource TTS

Model Editing at Scale leads to Gradual and Catastrophic Forgetting

MAPS: Macro-Adaptive Parallel Reasoning for Regulating Search Momentum in Retrieval-Augmented Generation

Physics-Transfer Learning: A Physics-Constrained Theory for Zero-Shot Generalization Along the Ladder of Complexity

Position: Topological Deep Learning is the New Frontier for Relational Learning

Bounded Autonomy and Verifiable Safety for Agentic AI Enabled Automation

When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning

Large Language Models for Networking: Applications, Enabling Techniques, and Challenges

Calibration of Large Language Models on Code Summarization

An Empirical Comparison of Instance Attribution Methods for NLP

Calibration and Correctness of Language Models for Code

A Tutorial on Movable Antenna-Enabled ISAC Systems: Fundamentals, Parameter Estimation, and Security Issues

Multi-view Laplacian Support Vector Machines

Cluster consensus in discrete-time networks of multi-agents with inter-cluster nonidentical inputs

Training-free Acceleration for Blind Compressed Image Restoration via Activation-Calibrated Singular Value Decomposition

Robust Soft Skill Adaptation via Behavioral Localization in Tool-Using Agents

On Three-Valued Dependence-Like Logics