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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33,421 to 33,480 of 119,579

Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery
Marcel Kurovski, Attila Nagy, Steffen Klempau +1
cs.IRcs.AIcs.LGarXiv:2609.16407v12026
The Potential of Haptic Foundation Models
Jianquan Wang, Haiwei Dong, Abdulmotaleb El Saddik
cs.ROcs.CVcs.MMarXiv:2608.28664v12026
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Walter H. L. Pinaya, Mark S. Graham, Robert Gray +12
cs.CVeess.IVq-bio.QMarXiv:2206.03461v12022
Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning
Oleksii Kolesnichenko, Jakub Peleška, Gustav Šír
cs.PLcs.DBcs.LGarXiv:2609.01292v12026
Multi-Turn LLM Conversations under the Least-Recently-Used Policy: Mean-Field Asymptotics and Hit Ratio Approximation
Heyuan Yao, Chutong Gao, Yuan Lyu +2
cs.PFmath.PRarXiv:2609.02027v12026
StreamAV-Bench: A Comprehensive Benchmark for Streaming Audio-Video Generation
Kaiqi Liu, Haoxuan Zeng, Jingqi Liu +7
cs.SDcs.CVcs.MMarXiv:2608.26336v12026
AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
Zhengyang Shan, Yukyung Lee, Sophie Hao
cs.CLarXiv:2608.27855v12026
WorldKV: Efficient World Memory with World Retrieval and Compression
Jung Yi, Minjae Kim, Paul Hyunbin Cho +3
cs.CVarXiv:2605.22718v12026
A Benchmark and Comparison of Active Learning for Logistic Regression
Yazhou Yang, Marco Loog
stat.MLcs.LGarXiv:1611.08618v22016
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
Tian Xia, Minghao Liu, Yiqing Liang +2
cs.LGcs.CLcs.CVarXiv:2609.40361v12026
Federated Learning with Only Positive Labels
Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon +1
cs.LGstat.MLarXiv:2004.10342v12020
Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files
Karley Waguespack, Samuel Goodwin, George Hendrick +8
cs.DCcs.CRarXiv:2608.20363v22026
Protein Autoregressive Modeling via Multiscale Structure Generation
Yanru Qu, Cheng-Yen Hsieh, Zaixiang Zheng +2
cs.LGcs.AIq-bio.BMarXiv:2602.04883v22026
A Ranking Approach for Measuring Calibration
Anirban Chatterjee, Rina Foygel Barber
stat.MEcs.LGstat.MLarXiv:2609.13100v12026
ScalingAR: Scaling Confidence for Autoregressive Image Generation
Harold Haodong Chen, Xianfeng Wu, Wen-Jie Shu +4
cs.CVarXiv:2509.26376v32025
Randomization Beyond Deterministic Adaptivity in Parallel Sampling
Da Li, Bo Jin, Xiaopeng Wei
cs.ITmath.ITarXiv:2610.03335v12026
How Bregman Divergences Shape Shampoo
Bing Liu, Wenjie Zhou, Chengcheng Zhao +4
cs.LGarXiv:2610.08534v12026
Agensh: Scaling Organizational Intelligence to 1,024 Agents
Zhihao Zhan, Ting Song, Li Dong +4
cs.CLcs.MAarXiv:2609.26781v12026
Learning Terrain-Adaptive Humanoid Locomotion on Granular Terrain
Junnosuke Kamohara, Feiyang Wu, Andy Ningan Zong +4
cs.ROarXiv:2609.10286v12026
Implementing a White-Box Undetectable Backdoor for Random Fourier Features
Michael Collins, Jada Cumberland, Brianne Dunn +3
cs.CRcs.LGarXiv:2609.16403v12026
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Xinyi Shang, Yang Lu, Gang Huang +1
cs.LGarXiv:2204.13399v12022
Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos
Feiyu Du, Xi He, Jia Li +2
cs.CVcs.AIarXiv:2609.14118v12026
From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
Mingyu Huang, Weiqing Min, Ying Jin +2
cs.HCcs.AIcs.LGarXiv:2608.13581v12026
IntroConformal: Conformal Factuality Guarantees for Large Vision-Language Models via Introspective Signals
Md. Atabuzzaman, Christian Alexander, Chris Thomas
cs.CVcs.CLarXiv:2609.01375v12026
Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
Marco Bronzini, Carlo Nicolini, Bruno Lepri +2
cs.CLcs.AIcs.LGarXiv:2509.25045v32025
Motion Mamba: Efficient and Long Sequence Motion Generation
Zeyu Zhang, Akide Liu, Ian Reid +3
cs.CVarXiv:2403.07487v42024
PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion
Yunchi Yang, Longlong Li, Cunquan Qu
cs.AIarXiv:2609.02216v12026
Do Vision Model See Like the Brain? A Comparison Across EEG Encoding Model
Shashank Baghel, Kshitij Dwivedi, Dinesh Singh +1
cs.CVcs.AIcs.HCarXiv:2609.26512v12026
Gaussian Splatting SLAM
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly +1
cs.CVcs.ROarXiv:2312.06741v22023
TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking
Zhaofeng Hu, Sifan Zhou, Jiahao Nie +3
cs.CVcs.AIarXiv:2609.07738v12026
Fast Surrogate Modeling of Excitable and Oscillatory FitzHugh-Nagumo Dynamics with Parametric Neural Operators
Andrew Franck, Justin Li
cs.LGarXiv:2609.04549v12026
CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning
Chung-En Johnny Yu, David Garcia, Brian Jalaian +1
cs.AIcs.LGcs.MAarXiv:2609.05708v12026
Benchmarking Robots for Everyday Environments: From Lab Experiments to Real-World Operations
Raphael Memmesheimer, Martina Overbeck, Dominik Beyer +19
cs.ROcs.HCarXiv:2609.26490v12026
TiTok: Audio-Visual LLM for Multi-Segment Temporal Grounding
Eunji Shin, Dahyun Choi, Seungyeon Jo +2
cs.CVarXiv:2610.09408v12026
SPARK: Synergistic Policy And Reward Co-Evolving Framework
Ziyu Liu, Yuhang Zang, Shengyuan Ding +5
cs.CVcs.LGarXiv:2509.22624v12025
Aegix Pulse: A Traceable Three-Stage Architecture for Personalized Content Generation and Context-Preserving Revision
Hongnan Zhao, Shiyu Chen, Zhihao Chen
cs.AIarXiv:2609.07672v12026
Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG
Birgit Nierula, Karam Tomotaki-Dawoud, Mert Akguel +5
cs.CVcs.HCarXiv:2609.03569v12026
Discrete Annotation, Continuous Preference: Rethinking Supervision for Accurate and Generalizable Aesthetic Image Cropping
Ziqing Zhang, Xiao Liu, Kai Liu +4
cs.CVarXiv:2610.00582v12026
Reference-Based Distillation Detection in LLMs
Rajat Rawat, Sizhe Chen, Akshay Anand +3
cs.LGcs.CLarXiv:2607.09692v12026
Know the Shape, Find the Fault: Topology-Conditioned Diagnosis of Multi-Agent LLM Failures
Xinwen Liu, Zhuocheng Pan, Isabella Zhu +3
cs.MAcs.AIarXiv:2610.10126v12026
Spicing up Genetic Netlist Generation with LLMs
Stefan Uhlich, Yağız Gençer, Andrea Bonetti +4
cs.NEcs.ARcs.LGarXiv:2608.23317v12026
AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents
Xiangchen Cheng, Yunwei Jiang, Jianwen Sun +7
cs.AIcs.CLarXiv:2607.02255v12026
GeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents
Han Luo, Xian Xu, Yinhe Liu +1
cs.AIarXiv:2609.13667v12026
Mobile-4DGS: Unified Static-Dynamic Real-time Mobile Gaussian Splatting
Xiaobiao Du, Beixi Hao, Zhen Fang +3
cs.CVarXiv:2610.05289v12026
Proposal Flow: Semantic Correspondences from Object Proposals
Bumsub Ham, Minsu Cho, Cordelia Schmid +1
cs.CVarXiv:1703.07144v12017
Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation
Xingtai Gui, Meijie Zhang, Tianyi Yan +5
cs.CVarXiv:2603.14948v12026
CRSF: Collusion-Resilient Privacy-Preserving Sensor Fusion with Byzantine-Robust Participation
Chao Yin, Haihong Tian, Zheng Yang +3
cs.CRarXiv:2609.01096v12026
Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance
Sai Niranjan Ramachandran, Suvrit Sra
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2609.02373v12026
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
Shuang Zeng, Xinyuan Chang, Mengwei Xie +6
cs.CVarXiv:2505.17685v32025
Multi-Axis Selective Decoupling Framework for Free-Floating Space Manipulators
Daegyun Choi, Donghoon Kim
cs.ROphysics.space-pharXiv:2609.26267v12026
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess +1
cs.CLcs.AIarXiv:2404.03189v22024
Decision Support Tools for Cloud Migration in the Enterprise
Ali Khajeh-Hosseini, Ian Sommerville, Jurgen Bogaerts +1
cs.DCarXiv:1105.0149v12011
Thinking Inertia: LLMs Keep Thinking When Told Not To
Dianqiao Lei, Kevin Qinghong Lin, Pan Lu +2
cs.CLarXiv:2610.11765v12026
ZipSplat: Fewer Gaussians, Better Splats
Alexander Veicht, Sunghwan Hong, Dániel Baráth +1
cs.CVarXiv:2606.05102v22026
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
Charlie Zhang, Graham Neubig, Xiang Yue
cs.CLarXiv:2512.07783v12025
CLASP: Chained-Request-Aware Scaling and Operator Placement for Serverless Stream Processing
Tianyu Qi, Maria A. Rodriguez, Rajkumar Buyya
cs.DCarXiv:2608.29103v12026
From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy
Petro Shulzhenko, Gabriele Spadaro, Enzo Tartaglione
cs.LGarXiv:2609.04881v12026
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL
Tong Zheng, Skylar Zhai, Zhan Cheng +7
cs.LGcs.CLarXiv:2610.00574v12026
A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM
Zewen Zhuo, Ilya Belevich, Eija Jokitalo +2
cs.CVarXiv:2610.03332v12026
SENSE: State-aware Emotion Navigation Storytelling Engine
Yi Xia, Pablo Carrasco Velo, Mudit Paliwal +5
cs.HCcs.AIcs.MMarXiv:2610.07666v12026

Every paper with a summary

Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery

The Potential of Haptic Foundation Models

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning

Multi-Turn LLM Conversations under the Least-Recently-Used Policy: Mean-Field Asymptotics and Hit Ratio Approximation

StreamAV-Bench: A Comprehensive Benchmark for Streaming Audio-Video Generation

AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not

WorldKV: Efficient World Memory with World Retrieval and Compression

A Benchmark and Comparison of Active Learning for Logistic Regression

Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis

Federated Learning with Only Positive Labels

Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files

Protein Autoregressive Modeling via Multiscale Structure Generation

A Ranking Approach for Measuring Calibration

ScalingAR: Scaling Confidence for Autoregressive Image Generation

Randomization Beyond Deterministic Adaptivity in Parallel Sampling

How Bregman Divergences Shape Shampoo

Agensh: Scaling Organizational Intelligence to 1,024 Agents

Learning Terrain-Adaptive Humanoid Locomotion on Granular Terrain

Implementing a White-Box Undetectable Backdoor for Random Fourier Features

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos

From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent

IntroConformal: Conformal Factuality Guarantees for Large Vision-Language Models via Introspective Signals

Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures

Motion Mamba: Efficient and Long Sequence Motion Generation

PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion

Do Vision Model See Like the Brain? A Comparison Across EEG Encoding Model

Gaussian Splatting SLAM

TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking

Fast Surrogate Modeling of Excitable and Oscillatory FitzHugh-Nagumo Dynamics with Parametric Neural Operators

CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning

Benchmarking Robots for Everyday Environments: From Lab Experiments to Real-World Operations

TiTok: Audio-Visual LLM for Multi-Segment Temporal Grounding

SPARK: Synergistic Policy And Reward Co-Evolving Framework

Aegix Pulse: A Traceable Three-Stage Architecture for Personalized Content Generation and Context-Preserving Revision

Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG

Discrete Annotation, Continuous Preference: Rethinking Supervision for Accurate and Generalizable Aesthetic Image Cropping

Reference-Based Distillation Detection in LLMs

Know the Shape, Find the Fault: Topology-Conditioned Diagnosis of Multi-Agent LLM Failures

Spicing up Genetic Netlist Generation with LLMs

AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents

GeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents

Mobile-4DGS: Unified Static-Dynamic Real-time Mobile Gaussian Splatting

Proposal Flow: Semantic Correspondences from Object Proposals

Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation

CRSF: Collusion-Resilient Privacy-Preserving Sensor Fusion with Byzantine-Robust Participation

Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving

Multi-Axis Selective Decoupling Framework for Free-Floating Space Manipulators

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models

Decision Support Tools for Cloud Migration in the Enterprise

Thinking Inertia: LLMs Keep Thinking When Told Not To

ZipSplat: Fewer Gaussians, Better Splats

On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models

CLASP: Chained-Request-Aware Scaling and Operator Placement for Serverless Stream Processing

From Deep to Shallow: Unconstrained and Efficient Layer Merging Strategy

Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL

A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM

SENSE: State-aware Emotion Navigation Storytelling Engine