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.

Search paper metadata (including unsummarized papers)

78,961 to 79,020 of 102,482

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
Deep Factors for Forecasting
Yuyang Wang, Alex Smola, Danielle C. Maddix +3
stat.MLcs.LGarXiv:1905.12417v12019
Overview and Meta-Analysis of DCASE 2026 Challenge Task 6: Audio Moment Retrieval from Long Audio
Hokuto Munakata, Tatsuya Komatsu, Keisuke Imoto +3
eess.AScs.SDarXiv:2609.12484v22026
Bringing dApps to OCUDU: An E3 Controller for Real-Time Open RAN Intelligence
Angelo Feraudo, Ravis Shirkhani, Stefano Maxenti +3
cs.NIarXiv:2609.03162v12026
Appearance Pointers -- Multimodal Region Control of Diffusion Transformers
Rahul Sajnani, Yulia Gryaditskaya, Radomír Měch +2
cs.CVcs.AIcs.GRarXiv:2607.19344v12026
An Application of Deep Reinforcement Learning to Algorithmic Trading
Thibaut Théate, Damien Ernst
q-fin.TRcs.AIcs.LGarXiv:2004.06627v32020
DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
Tianhao Hu, Xiangcheng Liu, Yuchun Miao +16
cs.LGcs.DCarXiv:2604.26256v22026
Tabula Rasa: Monte Carlo estimation of unit-variance noise with controlled spatio-temporal correlation
Tobias Ritschel, Yang Zhou, Nick Milef +4
cs.GRcs.CVarXiv:2610.11653v12026
Building the Web for Agents: A Declarative Framework for Agent-Web Interaction
Sven Schultze, Meike Verena Kietzmann, Nils-Lucas Schönfeld +1
cs.HCcs.AIcs.CLarXiv:2511.11287v12025
A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
Qiyuan Zhang, Fuyuan Lyu, Zexu Sun +10
cs.CLcs.AIarXiv:2503.24235v32025
Derivative-free optimization methods
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
math.OCarXiv:1904.11585v22019
Partition-Invariant Tuning for 3D Scene Understanding
Hongqiang Lin, Tianle Wang, Shuiwang Li +4
cs.CVarXiv:2609.12473v12026
Noether charge, black hole volume, and complexity
Josiah Couch, Willy Fischler, Phuc H. Nguyen
hep-thgr-qcarXiv:1610.02038v42016
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu, Xiaosen Zheng, Niklas Muennighoff +5
cs.CLcs.AIarXiv:2407.01492v22024
CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery
Mahir Shahriar Tamim, Sharjil Khan, Md. Samiul Alim +3
cs.LGcs.AIarXiv:2608.24947v12026
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
Benjamin Marie, Atsushi Fujita, Raphael Rubino
cs.CLarXiv:2106.15195v12021
TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
Heming Zou, Qi Wang, Yun Qu +9
cs.LGcs.AIcs.CLarXiv:2606.11119v12026
Categorical Flow Maps
Daan Roos, Oscar Davis, Floor Eijkelboom +5
cs.LGarXiv:2602.12233v12026
SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection
Huayi Zhou, Fei Jiang, Hongtao Lu
cs.CVarXiv:2211.02213v22022
Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs
Renchi Zhang, Joost C. F. de Winter, Dimitra Dodou +2
cs.HCcs.AIcs.CVarXiv:2610.05463v12026

Every paper with a summary

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

Deep Factors for Forecasting

Overview and Meta-Analysis of DCASE 2026 Challenge Task 6: Audio Moment Retrieval from Long Audio

Bringing dApps to OCUDU: An E3 Controller for Real-Time Open RAN Intelligence

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers

An Application of Deep Reinforcement Learning to Algorithmic Trading

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training

Tabula Rasa: Monte Carlo estimation of unit-variance noise with controlled spatio-temporal correlation

Building the Web for Agents: A Declarative Framework for Agent-Web Interaction

A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Derivative-free optimization methods

Partition-Invariant Tuning for 3D Scene Understanding

Noether charge, black hole volume, and complexity

RegMix: Data Mixture as Regression for Language Model Pre-training

CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning

Categorical Flow Maps

SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection

Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs