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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48,541 to 48,600 of 120,297

Deep Thought Alignment: Trajectory-Level Latent Distillation for Video Reasoning
Ao Shen, Yongheng Zhang, Yinghui Li +3
cs.CVcs.AIcs.CLarXiv:2608.16316v12026
You Shall Not Pass into Ring-0! A User Privacy-Friendly Anti-Cheat Architecture for Personal Computers
Santosh Gokul Narayanan, Giovanni Paladino, Chuqi Zhang +3
cs.CRarXiv:2609.17525v12026
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
Bolei Ma, Yuting Li, Wei Zhou +7
cs.CLarXiv:2502.12378v32025
UniGeo: A Multi-modal Large Language Model for Text-Guided Cross-View Geo-Localization
Jiahao Wen, Hang Yu, Zhedong Zheng
cs.CVarXiv:2608.26722v12026
Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images
Arman Zareian Jahromi, Vishnu Bondalakunta, Mohammad Akbar Bin Shah +3
cs.CRcs.LGarXiv:2608.17147v12026
Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift
Abdullah Al Mamun, Md. Nasif Osman Khansur, Md Ashraful Hossen Akash +2
cs.CVarXiv:2608.30467v12026
Hybrid Attribution Priors for Explainable and Robust Model Training
Zhuoran Zhang, Feng Zhang, Shangyuan Li +5
cs.LGcs.AIarXiv:2512.14719v12025
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng, Lu Jiang, Ce Liu +2
cs.LGcs.CVarXiv:2104.03310v12021
Dirichlet Process Mixtures of Generalized Linear Models
Lauren A. Hannah, David M. Blei, Warren B. Powell
stat.MLarXiv:0909.5194v22009
Towards Autonomous and Auditable Medical Imaging Model Development
Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng +8
cs.CVcs.AIarXiv:2607.10522v12026
Know the Normal, Track the Attack: Context-Grounded and Stateful LLM Investigation over System Provenance
Lijie Zheng, Ji He, Ying Wang +2
cs.CRarXiv:2609.36494v12026
Suppressing cascades of load in interdependent networks
Charles D. Brummitt, Raissa M. D'Souza, E. A. Leicht
physics.soc-pharXiv:1106.4499v22011
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay +9
cs.CLcs.AIcs.LGarXiv:2402.01781v22024
X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning
Yi Wang, Zhenlong Yuan, Yuchan Guo +9
cs.CVarXiv:2610.16811v12026
In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention
Yuhei Fujioka, Daitaro Misawa, Tatsuyoshi Ikenoue +1
cs.LGarXiv:2609.09824v12026
Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs
Dongxin Guo, Jikun Wu, Siu Ming Yiu
cs.CLcs.AIcs.LGarXiv:2605.23039v12026
Electromagnetic Twin: From Sparse Measurements to Persistent Wireless Intelligence
Tuo Wu, Lifeng Mai, Jie Tang +7
eess.SParXiv:2609.27895v12026
RAIN: Region-Aware Inversion Network for Semantic Watermark Extraction
Zilai Li
cs.CVcs.AIarXiv:2609.14856v22026
Marginal Coordinate Test for Fréchet Regression with Random Objects
Jiaye Chen, Rui Qiu, Roulin Wang +1
stat.MEstat.MLarXiv:2608.30644v12026
Personalizing LLM Agent Memory Using Biometrics
Yanhong Qian, Qingguo Meng, Shihao Ding +4
cs.AIarXiv:2609.08558v12026
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou +4
cs.CLcs.AIarXiv:2310.15421v32023
Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents
Liming Pu, Xiaoxia Li, Yifu Liu +2
cs.LGcs.AIarXiv:2609.01245v12026
Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neurons
Mahmut Ozer, Matjaz Perc, Muhammet Uzuntarla
physics.bio-phcond-mat.dis-nnq-bio.NCarXiv:0905.3084v12009
Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection
Keertana Chidambaram, Andrew Ilyas, Vasilis Syrgkanis
cs.AIarXiv:2609.15989v12026
NeuRoute: Logit-Guided Neural Routing for Billion-Scale Vector Search with Sub-Hour Index Construction
Xingqiao Wang, Zi Wang, Xiaowei Xu
cs.DBcs.IRcs.LGarXiv:2608.15438v12026
Unsupervised Process Reward Models
Artyom Gadetsky, Maxim Kodryan, Siba Smarak Panigrahi +2
cs.LGarXiv:2605.10158v12026
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents
Zheyuan Zhang, Zehao Wen, Alvin Zhang +4
cs.CLarXiv:2606.24893v12026
Efficient Bayesian Phase Estimation
Nathan Wiebe, Christopher E Granade
quant-pharXiv:1508.00869v12015
Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites
Valeria Legaria-Santiago, Amadeo Arguelles, Magdalena Saldana-Perez +2
cs.LGarXiv:2608.23219v12026
QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
Santiago Gonzalez, Alireza Amiri Bavandpour, Peter Ye +48
cs.LGarXiv:2602.20629v32026
Peer Prediction for Peer Review: Designing a Marketplace for Ideas
Alexander Ugarov
cs.DLcs.SIecon.GNarXiv:2303.16855v12023
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
Ruixiang Tang, Mengnan Du, Ninghao Liu +2
cs.CRcs.LGarXiv:2006.08131v22020
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot, Harsh Trivedi, Matthew Finlayson +4
cs.CLarXiv:2210.02406v22022
Summaries:한국어
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
Xiyuan Zhang, Danielle C. Maddix, Junming Yin +11
cs.LGarXiv:2510.21204v12025
SPlit: An Optimal Method for Data Splitting
V. Roshan Joseph, Akhil Vakayil
stat.MLcs.LGarXiv:2012.10945v22020
A General Framework for Budgeted Threshold Incentives on Request
Zhuolin Wu, Chengrui Zhu, Wenhua Nie +9
cs.AIarXiv:2609.29724v12026
3D Fully Convolutional Network for Vehicle Detection in Point Cloud
Bo Li
cs.CVcs.ROarXiv:1611.08069v22016
UltraBERT: Beyond the Limit of BERT Pre-Training
Jungwoo Park, Taewhoo Lee, Jaewoo Kang
cs.CLcs.AIarXiv:2610.15028v12026
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo, Liang Zhao
cs.LGstat.MLarXiv:2007.06686v32020
Ghost Echoes: Semantic Erasure Failure in Retrieval-Backed Applications
Allan Mukkuzhi, Noella Uwayisenga, Yeabsira Bizualem +2
cs.DBcs.CRcs.DCarXiv:2608.20352v12026
Least squares after model selection in high-dimensional sparse models
Alexandre Belloni, Victor Chernozhukov
math.STmath.PRstat.MEarXiv:1001.0188v52009
Reasoning-supported Robustness Validation of Automotive E/E Components
Jan Novacek, Alexander Viehl, Oliver Bringmann +1
cs.AIarXiv:2608.16421v12026
Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models
Xiaoqiang Wang, Mengyang Xiong, Jun Dai +1
quant-phcs.CLarXiv:2609.24657v12026
Scaling Test-Time Compute Without Verification or RL is Suboptimal
Amrith Setlur, Nived Rajaraman, Sergey Levine +1
cs.LGcs.CLarXiv:2502.12118v22025
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Dahyun Kim, Chanjun Park, Sanghoon Kim +15
cs.CLcs.AIcs.LGarXiv:2312.15166v32023
Summaries:한국어
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun, Yifei Ming, Xiaojin Zhu +1
cs.LGcs.CVarXiv:2204.06507v32022
Label Sanitization against Label Flipping Poisoning Attacks
Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
stat.MLcs.CRcs.LGarXiv:1803.00992v22018
RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents
Chang Guo, Yukun Xie, Bohan Tan +6
cs.ROarXiv:2609.25636v12026
Rethinking Satellite Cybersecurity: A System-Level Taxonomy and Longitudinal Analysis
Roy Peled, Eran Aizikovich, Edan Habler +2
cs.CRarXiv:2312.01330v22023
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
Kai Chen, Zichen Ding, Jiaye Ge +20
cs.AIcs.SEarXiv:2607.13705v32026
Recurrent Graph Neural Networks with Set-Based Aggregation
Blai Bonet
cs.AIarXiv:2609.15932v12026
Distributional Robustness Loss for Long-tail Learning
Dvir Samuel, Gal Chechik
cs.LGcs.CVarXiv:2104.03066v22021
UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers
Chidaksh Ravuru, Shashank Srivastava
cs.CLcs.LGarXiv:2608.09209v12026
Holistic Evaluation of Multimodal LLMs on Spatial Intelligence
Zhongang Cai, Yubo Wang, Qingping Sun +21
cs.CVcs.CLcs.LGarXiv:2508.13142v52025
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
cs.LGarXiv:1703.00560v22017
MotiMotion: Motion-Controlled Video Generation with Visual Reasoning
Lee Hsin-Ying, Hanwen Jiang, Yiqun Mei +3
cs.CVarXiv:2605.22818v12026
1% of Tokens Can Be Enough: On Gradient Estimation in On-Policy Distillation
Huanxin Sheng, Zhiling Ye, Haonan Wang +3
cs.LGcs.CLarXiv:2609.24432v12026
Towards Reliable AI-Based Histological Staining: A Systematic Study of Scaling and Uncertainty in Unpaired Generative Models
Qasim Siddiqui, Adrian Friebel, Maiju Myllys +4
cs.CVarXiv:2608.24626v12026
Visualizing Patient Trajectories and Disorder Co-occurrences in Child and Adolescent Mental Health
Dipendra Pant, Kaban Koochakpour, Odd Sverre Westbye +6
cs.HCcs.CYarXiv:2608.24911v12026
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
Xianhang Cheng, Zhenzhong Chen
cs.CVeess.IVarXiv:2006.08070v22020

Every paper with a summary

Deep Thought Alignment: Trajectory-Level Latent Distillation for Video Reasoning

You Shall Not Pass into Ring-0! A User Privacy-Friendly Anti-Cheat Architecture for Personal Computers

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges

UniGeo: A Multi-modal Large Language Model for Text-Guided Cross-View Geo-Localization

Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images

Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift

Hybrid Attribution Priors for Explainable and Robust Model Training

Regularizing Generative Adversarial Networks under Limited Data

Dirichlet Process Mixtures of Generalized Linear Models

Towards Autonomous and Auditable Medical Imaging Model Development

Know the Normal, Track the Attack: Context-Grounded and Stateful LLM Investigation over System Provenance

Suppressing cascades of load in interdependent networks

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning

In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs

Electromagnetic Twin: From Sparse Measurements to Persistent Wireless Intelligence

RAIN: Region-Aware Inversion Network for Semantic Watermark Extraction

Marginal Coordinate Test for Fréchet Regression with Random Objects

Personalizing LLM Agent Memory Using Biometrics

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents

Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neurons

Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection

NeuRoute: Logit-Guided Neural Routing for Billion-Scale Vector Search with Sub-Hour Index Construction

Unsupervised Process Reward Models

AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents

Efficient Bayesian Phase Estimation

Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites

QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs

Peer Prediction for Peer Review: Designing a Marketplace for Ideas

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models

SPlit: An Optimal Method for Data Splitting

A General Framework for Budgeted Threshold Incentives on Request

3D Fully Convolutional Network for Vehicle Detection in Point Cloud

UltraBERT: Beyond the Limit of BERT Pre-Training

A Systematic Survey on Deep Generative Models for Graph Generation

Ghost Echoes: Semantic Erasure Failure in Retrieval-Backed Applications

Least squares after model selection in high-dimensional sparse models

Reasoning-supported Robustness Validation of Automotive E/E Components

Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models

Scaling Test-Time Compute Without Verification or RL is Suboptimal

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Out-of-Distribution Detection with Deep Nearest Neighbors

Label Sanitization against Label Flipping Poisoning Attacks

RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents

Rethinking Satellite Cybersecurity: A System-Level Taxonomy and Longitudinal Analysis

AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

Recurrent Graph Neural Networks with Set-Based Aggregation

Distributional Robustness Loss for Long-tail Learning

UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers

Holistic Evaluation of Multimodal LLMs on Spatial Intelligence

An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning

1% of Tokens Can Be Enough: On Gradient Estimation in On-Policy Distillation

Towards Reliable AI-Based Histological Staining: A Systematic Study of Scaling and Uncertainty in Unpaired Generative Models

Visualizing Patient Trajectories and Disorder Co-occurrences in Child and Adolescent Mental Health

Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution