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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80,821 to 80,880 of 104,309

The Core of the Participatory Budgeting Problem
Brandon Fain, Ashish Goel, Kamesh Munagala
cs.GTcs.CYcs.DSarXiv:1610.03474v22016
The Mighty ToRR: A Benchmark for Table Reasoning and Robustness
Shir Ashury-Tahan, Yifan Mai, Rajmohan C +8
cs.CLarXiv:2502.19412v32025
Experience-Guided Adaptation of Inference-Time Reasoning Strategies
Adam Stein, Matthew Trager, Benjamin Bowman +4
cs.AIcs.LGarXiv:2511.11519v12025
A new design of a fall detection system integrating landmark identification and deep learning techniques
Tri Nhut Do, Thi Thuy Le
cs.CVarXiv:2610.05749v12026
Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising
Jun Guo, Qiwei Li, Peiyan Li +7
cs.ROcs.AIcs.CVarXiv:2604.26694v22026
Low-temperature gas opacity - AESOPUS: a versatile and quick computational tool
Paola Marigo, Bernhard Aringer
astro-ph.SRarXiv:0907.3248v22009
Ultrametric Fitting by Gradient Descent
Giovanni Chierchia, Benjamin Perret
cs.LGstat.MLarXiv:1905.10566v32019
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
Jaemoo Choi, Yuchen Zhu, Wei Guo +6
cs.LGcs.AIarXiv:2602.04663v22026
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
Salim Khazem
cs.CVcs.AIcs.LGarXiv:2603.14706v12026
ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning
Bingchen Pei, Lichong Chen, Bingxi Zhao +8
cs.CRcs.AIcs.CLarXiv:2610.01184v12026
A Comprehensive Survey of Incentive Mechanism for Federated Learning
Rongfei Zeng, Chao Zeng, Xingwei Wang +2
cs.LGcs.GTarXiv:2106.15406v12021
Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development
Johannes Mäkelburg, Tim Schwabe, Maribel Acosta
cs.LGcs.SEeess.SYarXiv:2609.11331v12026
A Vector Small-Gain Theorem for General Nonlinear Control Systems
Iasson Karafyllis, Zhong-Ping Jiang
math.OCmath.DSarXiv:0904.0755v12009
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
cs.CLcs.LGarXiv:2211.02570v12022
Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniques
H. Ruan, R. C. de Lamare
cs.CEcs.ITmath.ITarXiv:1606.01313v12016
TBD-VLA: Temporal Block Diffusion Vision Language Action Model
Sung-Wook Lee, Xuhui Kang, Yen-Ling Kuo
cs.CVcs.ROarXiv:2606.07895v12026
Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability
Zhuomin Chen, Jingchao Ni, Xu Zheng +4
cs.AIarXiv:2610.05686v12026
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods
Anne-Marie Lyne, Mark Girolami, Yves Atchadé +2
stat.MEstat.COstat.MLarXiv:1306.4032v42013
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation
Dongjun Lee, Choongwon Park, Jaehyuk Kim +1
cs.CLarXiv:2405.07467v12024
RSIGym: A Flexible Environment for Recursive Self-Improvement
Fanqing Meng, Lingxiao Du, Haocheng Lu +6
cs.LGarXiv:2610.10310v12026
The Evolution of Binary Decompilation in the Modern Era: A Taxonomy, Literature Review, and Future Perspectives
Omar Abusabha, Sungjae Hwang
cs.SEcs.CRarXiv:2608.24955v12026
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
Stephen James, Andrew J. Davison
cs.ROcs.AIcs.CVarXiv:2105.14829v22021
Error Analysis of the Inverse Conductivity Problem with Scattered Measurements
Bangti Jin, Qimeng Quan, Wenlong Zhang
math.NAarXiv:2608.25749v12026
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick +1
stat.APcs.LGstat.MLarXiv:1511.01644v12015
Compositional generalization through abstract representations in human and artificial neural networks
Takuya Ito, Tim Klinger, Douglas H. Schultz +3
q-bio.NCarXiv:2209.07431v32022
SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models
Junchao Huang, Guian Fang, Shengju Qian +15
cs.CVarXiv:2609.02886v12026
Soft Contextual Data Augmentation for Neural Machine Translation
Jinhua Zhu, Fei Gao, Lijun Wu +5
cs.CLarXiv:1905.10523v12019
Temporal motifs in time-dependent networks
Lauri Kovanen, Márton Karsai, Kimmo Kaski +2
physics.data-ancs.SIphysics.soc-pharXiv:1107.5646v22011
Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning
Hyunjin Kim, Youngeun Nam, Jaemin Han +2
cs.LGcs.AIarXiv:2609.12584v12026
SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays
Sonal Kumar, Sinan Hersek, Artem Dementyev +6
cs.SDcs.AIarXiv:2610.05610v22026
Exploiting temporal information for 3D pose estimation
Mir Rayat Imtiaz Hossain, James J. Little
cs.CVarXiv:1711.08585v42017
Cold Case: The Lost MNIST Digits
Chhavi Yadav, Léon Bottou
cs.LGcs.CVstat.MLarXiv:1905.10498v22019
TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling
Jiaqian Li, Yanshu Li, Boxuan Zhang +2
cs.CLcs.LGarXiv:2605.27690v22026
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
Ramya Prabhu, Ajay Nayak, Jayashree Mohan +2
cs.LGcs.OSarXiv:2405.04437v32024
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
Leigang Qu, Shengqiong Wu, Hao Fei +2
cs.CVcs.AIarXiv:2308.05095v22023
HG-DAgger: Interactive Imitation Learning with Human Experts
Michael Kelly, Chelsea Sidrane, Katherine Driggs-Campbell +1
cs.ROarXiv:1810.02890v22018
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
Huayi Wang, Zirui Wang, Junli Ren +4
cs.ROcs.AIcs.LGarXiv:2502.10363v32025
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance
Lucas Janson, Brian Ichter, Marco Pavone
cs.ROarXiv:1505.00023v22015
A physics-informed variational DeepONet for predicting the crack path in brittle materials
Somdatta Goswami, Minglang Yin, Yue Yu +1
cs.LGmath.NAarXiv:2108.06905v22021
ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion
Miruna-Alexandra Gafencu, Vlad Bratulescu, Yordanka Velikova +2
cs.CVarXiv:2608.24422v12026
Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions
Lucas Janson, Edward Schmerling, Ashley Clark +1
cs.ROarXiv:1306.3532v42013
HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots
Yurun Chen, Josh Qixuan Sun, Jason Qin +4
cs.ROcs.AIarXiv:2610.08642v12026
Batch Normalization is a Cause of Adversarial Vulnerability
Angus Galloway, Anna Golubeva, Thomas Tanay +2
cs.LGstat.MLarXiv:1905.02161v22019
Learning-Augmented Optimization for Strategic Two-Echelon Spare Parts Network Design
Donato Maragno, Marco Caserta, Alberto Sinigaglia +3
math.OCcs.LGarXiv:2609.12524v12026
SharPer: Sharding Permissioned Blockchains Over Network Clusters
Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi
cs.DBcs.DCarXiv:1910.00765v22019
Real-time Power System State Estimation and Forecasting via Deep Neural Networks
Liang Zhang, Gang Wang, Georgios B. Giannakis
cs.LGstat.MLarXiv:1811.06146v22018
Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation
Team Kandinsky, Julia Agafonova, Bulat Akhmatov +85
cs.CVcs.AIcs.LGarXiv:2610.05608v12026
EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce
Rui Min, Zile Qiao, Ze Xu +18
cs.AIarXiv:2512.08868v22025
Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models
Ashwin Nedungadi, Stefan Oehmcke, Stefan Lüdtke
cs.AIcs.CVarXiv:2608.30751v22026
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell
cs.CLcs.AIarXiv:2102.07350v12021
An elementary introduction to information geometry
Frank Nielsen
cs.LGcs.ITstat.MLarXiv:1808.08271v22018
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
Haoran Luo, Haihong E, Guanting Chen +8
cs.CLarXiv:2507.21892v22025
PandExo: A Community Tool for Transiting Exoplanet Science with JWST & HST
Natasha E. Batalha, Avi Mandell, Klaus Pontoppidan +7
astro-ph.IMastro-ph.EParXiv:1702.01820v22017
Slow-Fast Brain-Computer Interfaces: Preventing Neuroadaptive Overfitting in AI-Mediated Neural Interfaces
Aarthy Nagarajan
q-bio.NCcs.HCeess.SParXiv:2609.01767v12026
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli, Pietro Zanuttigh
cs.CVcs.LGeess.IVarXiv:1907.13372v42019
Vehicle Energy Dataset (VED), A Large-scale Dataset for Vehicle Energy Consumption Research
G. S. Oh, David J. Leblanc, Huei Peng
physics.soc-pharXiv:1905.02081v12019
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
Safa Hamreras, Sukhbinder Singh, Román Orús
cs.LGcs.AIquant-pharXiv:2505.20132v22025
Toward the first quantum simulation with quantum speedup
Andrew M. Childs, Dmitri Maslov, Yunseong Nam +2
quant-pharXiv:1711.10980v12017
ReART: Reference-Guided Retrieval and Refinement for Emotion-Aware Art Generation
Qianqian Tang, Jiayi Gao, Ting Lei +1
cs.MMcs.CVarXiv:2608.22329v12026
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang, Darren Key, Kevin Ellis
cs.AIcs.CLarXiv:2402.12275v32024

Every paper with a summary

The Core of the Participatory Budgeting Problem

The Mighty ToRR: A Benchmark for Table Reasoning and Robustness

Experience-Guided Adaptation of Inference-Time Reasoning Strategies

A new design of a fall detection system integrating landmark identification and deep learning techniques

Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Low-temperature gas opacity - AESOPUS: a versatile and quick computational tool

Ultrametric Fitting by Gradient Descent

Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers

ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning

A Comprehensive Survey of Incentive Mechanism for Federated Learning

Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development

A Vector Small-Gain Theorem for General Nonlinear Control Systems

The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation

Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniques

TBD-VLA: Temporal Block Diffusion Vision Language Action Model

Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability

On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods

MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

RSIGym: A Flexible Environment for Recursive Self-Improvement

The Evolution of Binary Decompilation in the Modern Era: A Taxonomy, Literature Review, and Future Perspectives

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Error Analysis of the Inverse Conductivity Problem with Scattered Measurements

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

Compositional generalization through abstract representations in human and artificial neural networks

SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models

Soft Contextual Data Augmentation for Neural Machine Translation

Temporal motifs in time-dependent networks

Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning

SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays

Exploiting temporal information for 3D pose estimation

Cold Case: The Lost MNIST Digits

TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling

vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

HG-DAgger: Interactive Imitation Learning with Human Experts

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds

Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance

A physics-informed variational DeepONet for predicting the crack path in brittle materials

ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion

Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions

HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots

Batch Normalization is a Cause of Adversarial Vulnerability

Learning-Augmented Optimization for Strategic Two-Echelon Spare Parts Network Design

SharPer: Sharding Permissioned Blockchains Over Network Clusters

Real-time Power System State Estimation and Forecasting via Deep Neural Networks

Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation

EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce

Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models

Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

An elementary introduction to information geometry

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning

PandExo: A Community Tool for Transiting Exoplanet Science with JWST & HST

Slow-Fast Brain-Computer Interfaces: Preventing Neuroadaptive Overfitting in AI-Mediated Neural Interfaces

Incremental Learning Techniques for Semantic Segmentation

Vehicle Energy Dataset (VED), A Large-scale Dataset for Vehicle Energy Consumption Research

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

Toward the first quantum simulation with quantum speedup

ReART: Reference-Guided Retrieval and Refinement for Emotion-Aware Art Generation

WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment