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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19,201 to 19,260 of 61,271

SkillOS: Learning Skill Curation for Self-Evolving Agents
Siru Ouyang, Jun Yan, Yanfei Chen +13
cs.AIcs.CLarXiv:2605.06614v12026
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aakshita Chandiramani +544
cs.LGcs.AIcs.CLarXiv:2604.12374v12026
Amortized Set Prediction for Inverse IFS Reconstruction from Density Maps
Yutaka Yamaguti
cs.CVarXiv:2608.24175v12026
OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents
Chenyu Zhou, Xinyun Lu, Jiangyue Zhao +3
cs.AIarXiv:2605.28158v12026
Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings
Evelyn Ma, Rama Kumar Pasumarthi, Kishwar Shafin +25
cs.AIcs.LGarXiv:2608.26088v12026
PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans
Nabaraj Subedi, Shuvo Dip Datta, Ahmed Abdelaty +1
cs.IRcs.CLcs.CVarXiv:2608.26091v12026
DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents
Nikita Gupta, Riju Chatterjee, Lukas Haas +9
cs.CLarXiv:2601.20975v12026
Physics-Informed Error Field Learning: A Post-Training Optimization Framework for Physics-Informed Neural Networks
Jiuyun Sun, Yong Zhang
cs.LGarXiv:2608.24970v12026
A Very Big Video Reasoning Suite
Maijunxian Wang, Ruisi Wang, Juyi Lin +53
cs.CVcs.AIcs.LGarXiv:2602.20159v22026
SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution
Gangda Deng, Zhaoling Chen, Zhongming Yu +11
cs.SEcs.AIarXiv:2603.13428v42026
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
Chang Xu, Jinwang Wang, Wen Yang +3
cs.CVarXiv:2206.13996v12022
RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
Tianxing Chen, Yuran Wang, Mingleyang Li +16
cs.ROcs.AIarXiv:2603.01229v32026
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
Selim Kuzucu, Alessio Tonioni, Vasile Lup +3
cs.CVcs.AIcs.CLarXiv:2605.30126v12026
eleanor: An open-source tool for extracting light curves from the TESS Full-Frame Images
Adina D. Feinstein, Benjamin T. Montet, Daniel Foreman-Mackey +8
astro-ph.IMastro-ph.EPastro-ph.SRarXiv:1903.09152v32019
Cosmos World Foundation Model Platform for Physical AI
NVIDIA, :, Niket Agarwal +76
cs.CVcs.AIcs.LGarXiv:2501.03575v32025
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier
Yuyang Zhou, Guang Cheng, Shanqing Jiang +1
cs.CRcs.LGarXiv:1904.01352v42019
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
Shijie Wang, Wenqi Fan, Yue Feng +4
cs.IRarXiv:2501.02226v22025
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu +3
cs.CRcs.AIarXiv:2312.02003v32023
Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
Wenli Xiao, Haotian Lin, Andy Peng +9
cs.CVcs.ROarXiv:2511.00091v12025
Memory-efficient GPU pipelines for real-time non-line-of-sight reconstruction
Alfonso López-Ruiz, Diego Royo
cs.DCcs.CVarXiv:2608.28183v12026
Wireless Sensor/Actuator Network Design for Mobile Control Applications
Feng Xia, Yu-Chu Tian, Yanjun Li +1
cs.NIarXiv:0806.1569v12008
Parallel Decoding Distillation for Fast Image and Video Generation
Neta Shaul, Chao Liu, Arash Vahdat +1
cs.CVcs.LGarXiv:2607.26004v12026
Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation
Miguel Morona-Mínguez, Fernando Pérez-González, Alberto Pedrouzo-Ulloa
cs.CRcs.LGarXiv:2609.01945v12026
Attention-Based Map Encoding for Learning Generalized Legged Locomotion
Junzhe He, Chong Zhang, Fabian Jenelten +3
cs.ROarXiv:2506.09588v12025
Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor
Akel Hashim, Ravi K. Naik, Alexis Morvan +11
quant-pharXiv:2010.00215v22020
Bayesian inference for a covariance matrix
Ignacio Alvarez, Jarad Niemi, Matt Simpson
stat.MEarXiv:1408.4050v22014
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
Zijun Wang, Haoqin Tu, Yuhan Wang +6
cs.CLcs.AIarXiv:2504.01903v22025
Warm-starting quantum optimization
Daniel J. Egger, Jakub Marecek, Stefan Woerner
quant-pharXiv:2009.10095v42020
Rank Aggregation via Nuclear Norm Minimization
David F. Gleich, Lek-Heng Lim
math.NAarXiv:1102.4821v12011
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
Tianxing Chen, Yue Chen, Zixuan Li +41
cs.ROcs.AIcs.CVarXiv:2607.04434v32026
Learning Humanoid Standing-up Control across Diverse Postures
Tao Huang, Junli Ren, Huayi Wang +6
cs.ROcs.AIcs.LGarXiv:2502.08378v22025
On Data Engineering for Scaling LLM Terminal Capabilities
Renjie Pi, Grace Lam, Mohammad Shoeybi +3
cs.CLarXiv:2602.21193v12026
A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction
Haoxuan Zhang, Dinghao Yang, Kangning Zhang +4
cs.CEarXiv:2609.02190v12026
Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO
Prakhar Gupta, Vaibhav Gupta
cs.CLcs.AIcs.LGarXiv:2609.00925v12026
Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
Chiara Tappermann, Steffen Renisch, Lars Ole Schwen +3
cs.CVcs.AIarXiv:2608.16725v12026
Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
D. K. C. Senevirathna, A. A. E. Nanayakkara, H. M. C. K. Kulathunga +7
cs.AIcs.LGcs.SDarXiv:2608.27480v12026
Generative to Agentic AI: Survey, Conceptualization, and Challenges
Johannes Schneider
cs.AIarXiv:2504.18875v12025
Conformance Checking Based on Multi-Perspective Declarative Process Models
Andrea Burattin, Fabrizio Maria Maggi, Alessandro Sperduti
cs.SEcs.DBcs.LOarXiv:1503.04957v12015
Exploring the Role of LLMs in HPC Programming: A Survey
Strahinja Ljaljevic, Josep Jorba, Sergio Iserte
cs.DCcs.AIarXiv:2608.26110v12026
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow, Gordon Wichern, Prem Seetharaman +1
cs.SDcs.LGeess.ASarXiv:1909.08494v12019
Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2
cs.AIarXiv:2605.30344v12026
Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers
Abrar Alotaibi, Muhammad Shahid Jabbar, Sadam Al-Azani +1
cs.CRcs.AIcs.CLarXiv:2608.28327v12026
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang, Rares Dolga, Sangwoong Yoon +1
cs.LGcs.AIstat.MLarXiv:2507.08838v22025
NeuroCogMap Reveals Cognitive Organization of Large Language Models
Zhongxiang Sun, Haolang Lu, Qiang Ma +11
q-bio.NCcs.AIcs.CLarXiv:2607.00397v12026
Summaries:한국어
Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects
Xin Chen, Xiaoyang Wang, Ana Colacelli +2
eess.SYarXiv:2509.07218v62025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu, Sen Lin
cs.LGcs.AIarXiv:2503.07137v42025
DiffKG: Knowledge Graph Diffusion Model for Recommendation
Yangqin Jiang, Yuhao Yang, Lianghao Xia +1
cs.IRarXiv:2312.16890v12023
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman +4
cs.CVcs.CLcs.LGarXiv:2205.01397v22022
Deep learning for cardiac image segmentation: A review
Chen Chen, Chen Qin, Huaqi Qiu +4
eess.IVcs.CVcs.LGarXiv:1911.03723v12019
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space
Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci +2
cond-mat.dis-nncs.AIcs.LGarXiv:1602.06522v12016
Intelligent AI Delegation
Nenad Tomašev, Matija Franklin, Simon Osindero
cs.AIarXiv:2602.11865v12026
Geometric-Mean Policy Optimization
Yuzhong Zhao, Yue Liu, Junpeng Liu +9
cs.CLarXiv:2507.20673v32025
Stochastic Models of Evolution in Genetics, Ecology and Linguistics
R. A. Blythe, A. J. McKane
cond-mat.stat-mechq-bio.PEarXiv:cond-mat/0703478v12007
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Ryan Punamiya, Simar Kareer, Zeyi Liu +37
cs.ROcs.CVarXiv:2604.07607v22026
Provably Safe Sim-to-Real Transfer
Tingting Ni, Maryam Kamgarpour
cs.LGcs.AIarXiv:2609.01418v12026
Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces
Fragkiskos Papadopoulos, Dmitri Krioukov, Marian Boguna +1
cond-mat.stat-mechcond-mat.dis-nncs.NIarXiv:0805.1266v32008
Multiple-Input Multiple-Output Gaussian Broadcast Channels with Confidential Messages
Ruoheng Liu, Tie Liu, H. Vincent Poor +1
cs.ITcs.CRarXiv:0903.3786v12009
Bandits in Prod: Hyperparameter Optimization at Inference Time
Louis Abraham, Tuan-Anh Nguyen, Nicolas Devatine
cs.LGcs.AIarXiv:2609.01335v22026
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
Xiaoou Liu, Tiejin Chen, Longchao Da +3
cs.CLarXiv:2503.15850v22025
Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization
Zaid Harchaoui, Anatoli Juditsky, Arkadi Nemirovski
math.OCstat.COstat.MLarXiv:1302.2325v42013

Every paper with a summary

SkillOS: Learning Skill Curation for Self-Evolving Agents

Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Amortized Set Prediction for Inverse IFS Reconstruction from Density Maps

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents

Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings

PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans

DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents

Physics-Informed Error Field Learning: A Post-Training Optimization Framework for Physics-Informed Neural Networks

A Very Big Video Reasoning Suite

SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution

Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding

eleanor: An open-source tool for extracting light curves from the TESS Full-Frame Images

Cosmos World Foundation Model Platform for Physical AI

Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Self-Improving Vision-Language-Action Models with Data Generation via Residual RL

Memory-efficient GPU pipelines for real-time non-line-of-sight reconstruction

Wireless Sensor/Actuator Network Design for Mobile Control Applications

Parallel Decoding Distillation for Fast Image and Video Generation

Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation

Attention-Based Map Encoding for Learning Generalized Legged Locomotion

Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor

Bayesian inference for a covariance matrix

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

Warm-starting quantum optimization

Rank Aggregation via Nuclear Norm Minimization

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies

Learning Humanoid Standing-up Control across Diverse Postures

On Data Engineering for Scaling LLM Terminal Capabilities

A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction

Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO

Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI

Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

Generative to Agentic AI: Survey, Conceptualization, and Challenges

Conformance Checking Based on Multi-Perspective Declarative Process Models

Exploring the Role of LLMs in HPC Programming: A Survey

Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers

wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models

NeuroCogMap Reveals Cognitive Organization of Large Language Models

Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects

A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications

DiffKG: Knowledge Graph Diffusion Model for Recommendation

Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

Deep learning for cardiac image segmentation: A review

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

Intelligent AI Delegation

Geometric-Mean Policy Optimization

Stochastic Models of Evolution in Genetics, Ecology and Linguistics

EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

Provably Safe Sim-to-Real Transfer

Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces

Multiple-Input Multiple-Output Gaussian Broadcast Channels with Confidential Messages

Bandits in Prod: Hyperparameter Optimization at Inference Time

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey

Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization