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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4,741 to 4,800 of 117,028

Evidence-Gated Research: Statistically Controlled Model Adoption in Adaptive Search
Yifan Guo
cs.LGarXiv:2610.01751v12026
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
Tao Sun, Zonglin Di, Pengyu Che +2
cs.CVarXiv:1905.01447v12019
Function-Structured Reinforcement Learning with Executable Verifiers for Mathematical Reasoning
Zihan Liu, Xurong Xie
cs.LGarXiv:2610.01729v12026
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Jun Zhang
cs.CVarXiv:1809.03443v12018
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
Hae Beom Lee, Hayeon Lee, Donghyun Na +4
cs.LGstat.MLarXiv:1905.12917v32019
Range-GRPO: Policy Optimization via Pairwise Relations among Reward Intervals
Ryunyi Lee, Kangjun Noh, Somin Kim +2
cs.LGarXiv:2610.01548v22026
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu +3
cs.CRcs.LGarXiv:2105.00579v32021
Label-Budgeted Attribute Inference from Protected Features in Edge-Cloud Split Multimodal LLMs
Junguang Yao, Peichun Hua, Hanxiu Zhang +1
cs.CRarXiv:2610.32079v12026
Artifact Annotations Partially Substitute for Per-User Calibration: SAFE-EDA and a Normalization-Controlled Evaluation of Wrist-EDA Affect Recognition
Haochen Chai, Xinbi Luo, Zining Liu +1
cs.LGeess.SParXiv:2610.01692v12026
Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction
Tugrul Cabir Hakyemez, Ener Uras Gokhan
cs.LGarXiv:2610.01530v12026
Neural Disjunctive Normal Forms for Learning Exact Rank Filters
Diego Marcondes, Wonder A. L. Alves, Ronaldo F. Hashimoto
cs.CVcs.LGarXiv:2610.32203v12026
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou, Hugo Larochelle, Richard Zemel +1
cs.LGcs.CVarXiv:2105.07029v22021
A curated multi-endpoint drug-protein bioactivity dataset with construct-aware protein targets
Lina Abou-Abbas, Nour Mhanna, Hasan Bazzi +4
cs.LGarXiv:2610.32490v12026
A Semismooth Newton Method for Tikhonov Functionals with Sparsity Constraints
Roland Griesse, Dirk A. Lorenz
math.OCcs.NAmath.NAarXiv:0709.3186v32007
Beyond Channel Data: Configuration-Enriched Radio Foundation Models
Shrihari Vasudevan, H. G. Ranjani, Raaghul Ranganathan +2
cs.AIeess.SParXiv:2610.32542v12026
Concept Acupuncturist: An Efficient and Precise Concept Erasure Method for Diffusion Models via Sparse Autoencoders
Yiran Xiahou, Siliang Qin, Kai Chen +2
cs.CVcs.AIcs.CRarXiv:2610.32059v12026
Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness
Junhyuk Huh, Seoungbin Bae, Dabeen Lee
cs.LGarXiv:2610.01377v12026
Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
Parthiv Chatterjee, Kashish Kanjaria, Vashisth Purani +2
cs.LGarXiv:2610.01375v12026
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
Jingfeng Yao, Xinggang Wang, Shusheng Yang +1
cs.CVarXiv:2305.15272v22023
When Agents Fail: Model or Harness--Who's to Blame?
Shao Zhang, Hangfan Zhang, Yuanyuan Shi +9
cs.AIcs.CLcs.SEarXiv:2610.32483v12026
Why Does Train-Validation Separation Emerge? Update-Pressure Density Dynamics in Pretrained Backbones
Yuchen Li, Mingyu Du, Zongqi Fan +2
cs.LGarXiv:2610.01425v12026
DB-BERT: a Database Tuning Tool that "Reads the Manual"
Immanuel Trummer
cs.DBcs.AIcs.CLarXiv:2112.10925v12021
From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics
Hiroto Tamura, Gouhei Tanaka
cs.LGnlin.CDarXiv:2610.01369v12026
GET: Group Event Transformer for Event-Based Vision
Yansong Peng, Yueyi Zhang, Zhiwei Xiong +2
cs.CVcs.AIarXiv:2310.02642v12023
PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models
Junxin Wang, Yingfeng Luo, Xiangchen Song +12
cs.AIarXiv:2610.32216v12026
Clifford Sheaf Neural Networks
Kotaro Kamiya, Joel Nicholls
cs.LGstat.MLarXiv:2610.01322v12026
Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization
Cong D. Dang, Guanghui Lan
math.OCarXiv:1309.2249v12013
Mining the Design Space of Multi-Agent Workflows
Xavier Cadet, Junyan Cheng, Peter Chin +1
cs.SEcs.AIarXiv:2610.31709v12026
IQS-BO: In-Context Query Selection for Bayesian Optimisation
Luca Geminiani, Nadja Klein
cs.LGstat.MLarXiv:2610.01269v12026
Decode Late, Multiply Once: Rethinking the Dot Product for Quantized Weights
Jonathan Tapson
cs.LGcs.ARarXiv:2610.31913v12026
GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events
Chaiho Shin, Kwangsoo Kim
cs.LGarXiv:2610.01076v12026
Agentic AI Defense: Decode-Time Provenance Binding for MCP
Eric Yocam, Varghese Vaidyan, Paris Kalathas +3
cs.CRcs.AIcs.MAarXiv:2610.31974v12026
Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders
Parthiv Chatterjee, Dhiraj Golhar, Ummesalma Diwan +3
cs.LGcs.IRarXiv:2610.01270v12026
Poisson Hole Process: Theory and Applications to Wireless Networks
Zeinab Yazdanshenasan, Harpreet S. Dhillon, Mehrnaz Afshang +1
cs.ITcs.NImath.ITarXiv:1601.01090v22016
Image Clustering with Vision-Language Model Embeddings
João P. Matos-Carvalho, Nuno Fachada
cs.CVcs.AIcs.LGarXiv:2610.33265v12026
Mixed metric dimension of graphs
Aleksander Kelenc, Dorota Kuziak, Andrej Taranenko +1
math.COarXiv:1611.04292v22016
A Systematic Review of Productivity Factors in Software Development
Stefan Wagner, Melanie Ruhe
cs.SEarXiv:1801.06475v12018
Adapter Thickets: Splitting an RLVR Budget Beats Concentrating It
Jonathan Williams, Esin Tureci, Karthik R. Narasimhan
cs.LGarXiv:2610.00991v22026
Reducing 6G Energy Consumption: TDD-Aligned Drain Voltage Modulation for Power Amplifiers
Meizhen Zhuo, Gunter Wolff, Stephan ten Brink +1
eess.SParXiv:2610.32889v12026
Optimizing Video Object Detection via a Scale-Time Lattice
Kai Chen, Jiaqi Wang, Shuo Yang +4
cs.CVarXiv:1804.05472v12018
Auditable Algebraic Counting Field for Cryptic-Pocket Detection from Apo Structures
Shan Yu, Xuening Wu
cs.LGq-bio.BMarXiv:2610.00988v12026
Domain Adaptive Transfer Learning with Specialist Models
Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan +3
cs.CVcs.LGarXiv:1811.07056v22018
MMD Aggregated Two-Sample Test
Antonin Schrab, Ilmun Kim, Mélisande Albert +3
stat.MLcs.LGmath.STarXiv:2110.15073v42021
TranSAGE: Automating Spatial Accelerator Generation for Large-Scale Transformer Models
Chi Zhang, Yi Sun, Weichuang Zhang +2
cs.ARarXiv:2610.32279v12026
On Second Order Behaviour in Augmented Neural ODEs
Alexander Norcliffe, Cristian Bodnar, Ben Day +2
cs.LGstat.MLarXiv:2006.07220v22020
Consomm\'e: Conditioned Token Merging for Split Inference
Man Ngo, Jan S. Rellermeyer
cs.CVarXiv:2610.32794v22026
Sharpen Before You Adapt: Data-Free Entry-State Sharpening for Test-Time Reinforcement Learning
Zhanming Zhang, Vinoth Selvendran
cs.LGarXiv:2610.00903v12026
Piecewise $P_2$ finite element space on rectangular meshes in arbitrary dimensions for the biharmonic equation
Rui Ma, Yang Xing, Shuo Zhang
math.NAcs.NAarXiv:2610.32048v12026
Platonic Task Arithmetic
Junghwan Park, Woojin Cho
cs.LGcs.CVstat.MLarXiv:2610.00929v22026
Acyclic 2-edge-coloured graphs: polynomial-time linkages and colouring hardness
Jørgen Bang-Jensen, Stéphane Bessy, Amadeus Reinald
cs.DSmath.COarXiv:2610.32954v12026
MAST-VLA: Skill-Conditioned Adaptation with Trajectory-Affordance Priors for Multi-Skill Robot Manipulation
Jiachi Yang, Zhiyi Xu, Hongquan Zhang +4
cs.ROarXiv:2610.32312v12026
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Yu Xiang, Christopher Xie, Arsalan Mousavian +1
cs.ROcs.CVarXiv:2007.15157v32020
A Safe Prototype Is Not a Safety Direction: Reference Dependence and Prompt Confounds in Response-Safety Embeddings
Sahil Kadadekar
cs.LGcs.CLcs.CRarXiv:2610.01801v12026
ColoRadar: The Direct 3D Millimeter Wave Radar Dataset
Andrew Kramer, Kyle Harlow, Christopher Williams +1
cs.ROarXiv:2103.04510v12021
Beyond Linear Concepts: Discovering and Aligning Non-Linear Concept Manifolds in Large Language Models
Tido Specht, Elias Benedict Krey, Nils Neukirch +1
cs.LGcs.CLarXiv:2610.01821v12026
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
Vincent Jacob, Fei Song, Arnaud Stiegler +3
cs.LGcs.DBarXiv:2010.05073v32020
From Rules to Neural Graphs: Scalable Structured Prediction for Patent Prior Art Search
Nikolai Zenovkin, Sebastian Björkqvist
cs.IRcs.CLarXiv:2610.01553v12026
Learning Scalable Deep Kernels with Recurrent Structure
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi +2
cs.LGcs.AIstat.MLarXiv:1610.08936v32016
The Interplay between Massive MIMO and Underlaid D2D Networking
Xingqin Lin, Robert W. Heath Jr., Jeffrey G. Andrews
cs.ITmath.ITarXiv:1409.2792v32014
Flownomaly: Single-Step Conditional-Mean Recovery for Few-Shot Anomaly Detection
Bernardo Perrone Ribeiro, Erkut Akdag, Egor Bondarev
cs.CVcs.LGarXiv:2610.32964v12026

Every paper with a summary

Evidence-Gated Research: Statistically Controlled Model Adoption in Adaptive Search

Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery

Function-Structured Reinforcement Learning with Executable Verifiers for Mathematical Reasoning

Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks

Range-GRPO: Policy Optimization via Pairwise Relations among Reward Intervals

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning

Label-Budgeted Attribute Inference from Protected Features in Edge-Cloud Split Multimodal LLMs

Artifact Annotations Partially Substitute for Per-User Calibration: SAFE-EDA and a Normalization-Controlled Evaluation of Wrist-EDA Affect Recognition

Calibrating Prediction Timeliness Through Multi-Objective Hyperparameter Optimization for Remaining Useful Life Prediction

Neural Disjunctive Normal Forms for Learning Exact Rank Filters

Learning a Universal Template for Few-shot Dataset Generalization

A curated multi-endpoint drug-protein bioactivity dataset with construct-aware protein targets

A Semismooth Newton Method for Tikhonov Functionals with Sparsity Constraints

Beyond Channel Data: Configuration-Enriched Radio Foundation Models

Concept Acupuncturist: An Efficient and Precise Concept Erasure Method for Diffusion Models via Sparse Autoencoders

Minimax Optimal Regret for Causal Logistic Bandits with Counterfactual Fairness

Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization

ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers

When Agents Fail: Model or Harness--Who's to Blame?

Why Does Train-Validation Separation Emerge? Update-Pressure Density Dynamics in Pretrained Backbones

DB-BERT: a Database Tuning Tool that "Reads the Manual"

From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics

GET: Group Event Transformer for Event-Based Vision

PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models

Clifford Sheaf Neural Networks

Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization

Mining the Design Space of Multi-Agent Workflows

IQS-BO: In-Context Query Selection for Bayesian Optimisation

Decode Late, Multiply Once: Rethinking the Dot Product for Quantized Weights

GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events

Agentic AI Defense: Decode-Time Provenance Binding for MCP

Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders

Poisson Hole Process: Theory and Applications to Wireless Networks

Image Clustering with Vision-Language Model Embeddings

Mixed metric dimension of graphs

A Systematic Review of Productivity Factors in Software Development

Adapter Thickets: Splitting an RLVR Budget Beats Concentrating It

Reducing 6G Energy Consumption: TDD-Aligned Drain Voltage Modulation for Power Amplifiers

Optimizing Video Object Detection via a Scale-Time Lattice

Auditable Algebraic Counting Field for Cryptic-Pocket Detection from Apo Structures

Domain Adaptive Transfer Learning with Specialist Models

MMD Aggregated Two-Sample Test

TranSAGE: Automating Spatial Accelerator Generation for Large-Scale Transformer Models

On Second Order Behaviour in Augmented Neural ODEs

Consomm\'e: Conditioned Token Merging for Split Inference

Sharpen Before You Adapt: Data-Free Entry-State Sharpening for Test-Time Reinforcement Learning

Piecewise $P_2$ finite element space on rectangular meshes in arbitrary dimensions for the biharmonic equation

Platonic Task Arithmetic

Acyclic 2-edge-coloured graphs: polynomial-time linkages and colouring hardness

MAST-VLA: Skill-Conditioned Adaptation with Trajectory-Affordance Priors for Multi-Skill Robot Manipulation

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

A Safe Prototype Is Not a Safety Direction: Reference Dependence and Prompt Confounds in Response-Safety Embeddings

ColoRadar: The Direct 3D Millimeter Wave Radar Dataset

Beyond Linear Concepts: Discovering and Aligning Non-Linear Concept Manifolds in Large Language Models

Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

From Rules to Neural Graphs: Scalable Structured Prediction for Patent Prior Art Search

Learning Scalable Deep Kernels with Recurrent Structure

The Interplay between Massive MIMO and Underlaid D2D Networking

Flownomaly: Single-Step Conditional-Mean Recovery for Few-Shot Anomaly Detection