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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181 to 240 of 117,780

Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
Yuzhou Cheng, Tom Yates, Ignacio Alzugaray +3
cs.CVcs.LGcs.ROarXiv:2610.06978v12026
Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa
Yanben Shen, Joscif Raigne, Asheesh Singh +1
cs.CVarXiv:2610.19154v12026
A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration
Ana Batinović, Tamara Petrović, Antun Ivanovic +2
cs.ROarXiv:2011.02182v12020
Fixed Point Strategies in Data Science
Patrick L. Combettes, Jean-Christophe Pesquet
math.OCarXiv:2008.02260v32020
Active Boundary Loss for Semantic Segmentation
Chi Wang, Yunke Zhang, Miaomiao Cui +6
cs.CVarXiv:2102.02696v22021
Dimension-Free Scaling Laws for Size Generalization: An Exponential Separation
Behrooz Tahmasebi, Melanie Weber
cs.LGcs.AIarXiv:2610.19279v12026
A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines
Markus Wagner, Jareth Day, Frank Neumann
cs.NEarXiv:1204.4560v12012
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection
Michele Grossi, Noelle Ibrahim, Voica Radescu +4
quant-phcs.LGarXiv:2208.07963v12022
Moisesdb: A dataset for source separation beyond 4-stems
Igor Pereira, Felipe Araújo, Filip Korzeniowski +1
cs.SDcs.AIeess.ASarXiv:2307.15913v12023
An Initial Study of Physiological Markers for Deepfake Speech Detection
Vojtěch Staněk, Michal Frič, Kamil Malinka +1
cs.SDcs.CRcs.CVarXiv:2610.18934v12026
PairIT: Autoregressive Transformers for Low-Data Molecule Optimization
Hannah Lawrence, Bodhi P. Vani, Ji Won Park +5
cs.LGcs.AIphysics.chem-pharXiv:2610.19123v12026
Data Density Scaling Laws for Image Self-Distillation
Alvard Barseghyan, Ani Vanyan, Hakob Tamazyan +1
cs.LGarXiv:2610.19013v12026
Scaling Cheap Synthetic Pretraining Improves Indoor Radio-Map Prediction
Khoren Petrosyan, Artashes Mkrtchyan, Rafayel Mkrtchyan +2
cs.LGcs.AIarXiv:2610.19015v12026
Identifiable World Models from Pretrained Diffusion Representations
Ruchi Sandilya, Conor Liston, Logan Grosenick
cs.LGarXiv:2610.07028v12026
STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets
Yizhi Luo, Jiahe Yi, Jianhui Zhang +1
cs.LGq-fin.STarXiv:2610.07006v12026
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
Jianxiong Shen, Adria Ruiz, Antonio Agudo +1
cs.CVarXiv:2109.02123v32021
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Quanyi Li, Zhenghao Peng, Lan Feng +4
cs.ROarXiv:2306.12241v72023
DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies
Zhishen Sun, Hongzhan Wang, Sizhe Dang +2
cs.LGcs.AIarXiv:2610.06993v12026
Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density
Takato Yasuno, Keita Kobayashi, Ryuta Sakaguchi +1
cs.LGarXiv:2610.06989v12026
An Information-Theoretic Evaluation Framework for Benchmark and Model Diagnosis in Knowledge Tracing
Houru Jiang, Zixi Wang, Tengteng Cheng +6
cs.LGarXiv:2610.06988v12026
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs
Angelica Chen, Jason Phang, Alicia Parrish +4
cs.CLarXiv:2305.14279v42023
GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions
Attila Lischka, Ze Zhou, Xuegang +2
cs.AIarXiv:2610.14792v12026
Back to the Future: Reverse-Consequence Modeling for Long-Horizon Particle Dynamics
Leyan Zhang, Nantian He, Jiajun Ma +2
cs.AIarXiv:2610.18168v12026
An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection
Xinyuan Wang, Deepti Agrawal, Yanjie Fu
cs.LGcs.AIarXiv:2610.05600v12026
PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization
Gor Simonyan, Tatevik Abrahamyan, Narek Abelyan +2
cs.LGq-bio.QMarXiv:2610.19011v12026
Mask-Guided KV Cache Eviction in Block Diffusion Language Models
Gleb Molodtsov, Ekaterina Alimaskina, Evgeny Uskov +2
cs.LGcs.AIcs.CLarXiv:2610.06996v12026
Friend or Foe? Fake Profile Identification in Online Social Networks
Michael Fire, Dima Kagan, Aviad Elyashar +1
cs.SIphysics.soc-pharXiv:1303.3751v12013
Investigating Model Compression for Neural Machine Translation in the Biomedical Domain
Maria Zafar, Souhail Bakkali, Rejwanul Haque
cs.CLcs.AIcs.LGarXiv:2610.07032v12026
HardIDX: Practical and Secure Index with SGX
Benny Fuhry, Raad Bahmani, Ferdinand Brasser +3
cs.CRarXiv:1703.04583v12017
Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
Jinghao Pang, Jitai Hao, Qiang Huang +2
cs.AIcs.CLcs.IRarXiv:2610.07023v12026
Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher
Yan-Lun Chen, Pin-Yu Chen, Chia-Mu Yu
cs.CRcs.AIcs.CLarXiv:2610.18262v12026
Calibrated Evidence Inference With a Small, Permissively Licensed Open Model
Johann Emmanuel Li
cs.CLcs.LGarXiv:2610.07019v22026
Answering Complex Questions Using Open Information Extraction
Tushar Khot, Ashish Sabharwal, Peter Clark
cs.AIcs.CLarXiv:1704.05572v12017
Democratizing Robot-Use Agents: A Unified Harness with Open Models
Jiarui Yuan, Yuxin Zuo, Xiaoyu Huang +25
cs.ROarXiv:2611.01560v12026
Large-Scale Convex Optimization for Ultra-Dense Cloud-RAN
Yuanming Shi, Jun Zhang, Khaled B. Letaief +2
cs.ITmath.ITarXiv:1506.04243v12015
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Shuchang Zhou, Yuzhi Wang, He Wen +2
cs.CVcs.LGarXiv:1706.07145v12017
"There Has To Be a Lot That We're Missing": Moderating AI-Generated Content on Reddit
Travis Lloyd, Joseph Reagle, Mor Naaman
cs.CYcs.SIarXiv:2311.12702v72023
SKG: A Law-Induced Engine from Inference to Induction
Jian An, Chaoshi Wu, Jinhui Wu
cs.LGarXiv:2610.19505v12026
A resource theory of quantum memories and their faithful verification with minimal assumptions
Denis Rosset, Francesco Buscemi, Yeong-Cherng Liang
quant-pharXiv:1710.04710v22017
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
Manuel Carbonell, Mauricio Villegas, Alicia Fornés +1
cs.CVcs.CLarXiv:1803.06252v22018
GANs for Biological Image Synthesis
Anton Osokin, Anatole Chessel, Rafael E. Carazo Salas +1
cs.CVcs.LGstat.MLarXiv:1708.04692v22017
Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines
Yirui Zhang, Yash Raj Shrestha
cs.CLcs.AIarXiv:2610.15897v22026
What You Sign Is Not What You Run: The Verifiability Gap in Quantized LLM Supply Chains
Wei-Liang Liu, Cheng-Yen Tsai
cs.CRcs.LGarXiv:2610.19498v12026
ClearNav: Perception-Aligned Quadrotor Flight Using Differential-Physics
Aditya Azad, Arthur Huang, Guanrui Li
cs.ROcs.AIcs.LGarXiv:2610.17419v12026
When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data
Ahmadreza Eslaminia, Klara Nahrstedt, Chenhui Shao
cs.LGcs.AIcs.DCarXiv:2610.05598v12026
Expanding LLM Reasoning
Rian Atri, Evan Luo
cs.LGcs.AIcs.CLarXiv:2610.05584v12026
Blind Image Deconvolution using Deep Generative Priors
Muhammad Asim, Fahad Shamshad, Ali Ahmed
cs.CVarXiv:1802.04073v42018
AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search
Jianing Wen, Tianshi Li
cs.CRcs.AIcs.CYarXiv:2610.05586v12026
What Does an Observability Foundation Model Know?
Dhyey Dharmendrakumar Mavani, Rian Atri, Tairan Ji
cs.LGcs.AIarXiv:2610.05577v12026
Semantic Edge Detection with Diverse Deep Supervision
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan +3
cs.CVarXiv:1804.02864v52018
On Identification of Distribution Grids
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe +4
cs.LGcs.SYeess.SYarXiv:1711.01526v12017
Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters
Abdul Rehman, Jian-Jun Zhang, Xiaosong Yang
cs.CLcs.AIarXiv:2610.05575v12026
What Objective Does Self-paced Learning Indeed Optimize?
Deyu Meng, Qian Zhao, Lu Jiang
cs.LGcs.CVarXiv:1511.06049v22015
LLM Spirals of Delusion: A Benchmarking Audit Study of AI Chatbot Interfaces
Peter Kirgis, Ben Hawriluk, Sherrie Feng +3
cs.HCcs.AIcs.CLarXiv:2604.06188v12026
Soft Strategy Selection for Batch-Mode Active Learning
Rushil Gupta, Romain Lopez
cs.LGcs.AIarXiv:2610.05544v12026
Lyapunov functions for nabla discrete fractional order systems
Yiheng Wei, Yuquan Chen, Tianyu Liu +1
math.DSeess.SParXiv:1812.11368v22018
Do you "see" what I "see"? A Multi-panel Visual Question Answer Dataset for Large Language Model Chart Analysis
Daniel J. Evans, J. P. Naiman, JooYoung Seo +1
cs.DLcs.AIcs.IRarXiv:2610.14173v12026
Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation
Yaoyiran Li, Haowen Ning, Mohamed Hammad
cs.LGcs.AIcs.ARarXiv:2610.05559v12026
SLDBench v2: Active Scaling Law Discovery
Lingbei Meng, Rui Huang, Zhirong Shen +5
cs.LGcs.AIarXiv:2610.16297v22026
FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning
R. Khorrambakht, Joseph Amigo, Félix Lebel +4
cs.ROcs.AIarXiv:2610.05483v12026

Every paper with a summary

Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery

Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa

A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration

Fixed Point Strategies in Data Science

Active Boundary Loss for Semantic Segmentation

Dimension-Free Scaling Laws for Size Generalization: An Exponential Separation

A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines

Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection

Moisesdb: A dataset for source separation beyond 4-stems

An Initial Study of Physiological Markers for Deepfake Speech Detection

PairIT: Autoregressive Transformers for Low-Data Molecule Optimization

Data Density Scaling Laws for Image Self-Distillation

Scaling Cheap Synthetic Pretraining Improves Indoor Radio-Map Prediction

Identifiable World Models from Pretrained Diffusion Representations

STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies

Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density

An Information-Theoretic Evaluation Framework for Benchmark and Model Diagnosis in Knowledge Tracing

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs

GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions

Back to the Future: Reverse-Consequence Modeling for Long-Horizon Particle Dynamics

An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection

PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization

Mask-Guided KV Cache Eviction in Block Diffusion Language Models

Friend or Foe? Fake Profile Identification in Online Social Networks

Investigating Model Compression for Neural Machine Translation in the Biomedical Domain

HardIDX: Practical and Secure Index with SGX

Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment

Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher

Calibrated Evidence Inference With a Small, Permissively Licensed Open Model

Answering Complex Questions Using Open Information Extraction

Democratizing Robot-Use Agents: A Unified Harness with Open Models

Large-Scale Convex Optimization for Ultra-Dense Cloud-RAN

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

"There Has To Be a Lot That We're Missing": Moderating AI-Generated Content on Reddit

SKG: A Law-Induced Engine from Inference to Induction

A resource theory of quantum memories and their faithful verification with minimal assumptions

Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model

GANs for Biological Image Synthesis

Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines

What You Sign Is Not What You Run: The Verifiability Gap in Quantized LLM Supply Chains

ClearNav: Perception-Aligned Quadrotor Flight Using Differential-Physics

When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data

Expanding LLM Reasoning

Blind Image Deconvolution using Deep Generative Priors

AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search

What Does an Observability Foundation Model Know?

Semantic Edge Detection with Diverse Deep Supervision

On Identification of Distribution Grids

Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters

What Objective Does Self-paced Learning Indeed Optimize?

LLM Spirals of Delusion: A Benchmarking Audit Study of AI Chatbot Interfaces

Soft Strategy Selection for Batch-Mode Active Learning

Lyapunov functions for nabla discrete fractional order systems

Do you "see" what I "see"? A Multi-panel Visual Question Answer Dataset for Large Language Model Chart Analysis

Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation

SLDBench v2: Active Scaling Law Discovery

FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning