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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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25,441 to 25,500 of 61,116

Continuous-variable QKD over 50km commercial fiber
Yi-Chen Zhang, Zhengyu Li, Ziyang Chen +18
quant-pharXiv:1709.04618v22017
Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework
Yan Zhong, Gefei Chen, Qiufang Ma +4
cs.CVcs.AIarXiv:2609.02529v12026
TinkerCell: Modular CAD Tool for Synthetic Biology
Deepak Chandran, Frank T. Bergmann, Herbert M. Sauro
q-bio.MNq-bio.QMarXiv:0907.3976v12009
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
AgiBot-World-Contributors, Qingwen Bu, Jisong Cai +49
cs.ROcs.CVcs.LGarXiv:2503.06669v42025
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
KaShun Shum, Shizhe Diao, Tong Zhang
cs.CLarXiv:2302.12822v32023
Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion
Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1
cs.LGcs.AIarXiv:2609.02519v12026
Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation
Junbo Zhao, Marcos Netto, Zhenyu Huang +13
eess.SPstat.AParXiv:2005.05380v12020
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Haozhan Shen, Peng Liu, Jingcheng Li +9
cs.CVcs.CLarXiv:2504.07615v22025
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt, Albert Webson, Victor Sanh +4
cs.CLcs.HCcs.LGarXiv:2208.07852v12022
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang, Yong Jiang, Nguyen Bach +4
cs.CLcs.AIcs.LGarXiv:2010.05006v42020
Predictive learning via rule ensembles
Jerome H. Friedman, Bogdan E. Popescu
stat.AParXiv:0811.1679v12008
Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation
Ha-Hieu Pham, Dang P. M. Cao, Minh Hoang Pham +4
cs.CVarXiv:2609.02210v12026
Learning to Understand Phrases by Embedding the Dictionary
Felix Hill, Kyunghyun Cho, Anna Korhonen +1
cs.CLarXiv:1504.00548v42015
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
Rui Zhao, Yuchao Gu, Jay Zhangjie Wu +5
cs.CVarXiv:2310.08465v12023
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Jiuhai Chen, Zhiyang Xu, Xichen Pan +10
cs.CVcs.AIarXiv:2505.09568v12025
Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs
Prakhar Khatri
cs.CVcs.CLarXiv:2609.03820v12026
Jet Substructure Classification in High-Energy Physics with Deep Neural Networks
Pierre Baldi, Kevin Bauer, Clara Eng +2
hep-exhep-pharXiv:1603.09349v12016
LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style Updates
Dmitrii Andriianov, Andrey Veprikov, Aleksandr Beznosikov
cs.LGarXiv:2609.02734v12026
One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou, Runze Li
math.STarXiv:0808.1012v12008
Graph Meta Learning via Local Subgraphs
Kexin Huang, Marinka Zitnik
cs.LGstat.MLarXiv:2006.07889v42020
Adaptive Context-Aware Multi-Modal Network for Depth Completion
Shanshan Zhao, Mingming Gong, Huan Fu +1
cs.CVarXiv:2008.10833v12020
PCC: Re-architecting Congestion Control for Consistent High Performance
Mo Dong, Qingxi Li, Doron Zarchy +2
cs.NIarXiv:1409.7092v32014
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Jiazhan Feng, Shijue Huang, Xingwei Qu +6
cs.CLcs.AIarXiv:2504.11536v22025
Reasoning Models Don't Always Say What They Think
Yanda Chen, Joe Benton, Ansh Radhakrishnan +12
cs.CLcs.AIcs.LGarXiv:2505.05410v12025
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore, Tor Lattimore, Mark D. Reid
stat.MLcs.LGarXiv:1606.03203v12016
Bayesian Structure Learning in Sparse Gaussian Graphical Models
A. Mohammadi, E. C. Wit
stat.MEarXiv:1210.5371v82012
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang, Jian Huang
math.STarXiv:0808.0967v12008
HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks
Jongkyung Shin, Minguk Jeon, Chanwoo Park +1
cs.CLarXiv:2609.02772v12026
Support union recovery in high-dimensional multivariate regression
Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
stat.MLmath.STarXiv:0808.0711v22008
Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
Mingxin Li, Yanzhao Zhang, Dingkun Long +9
cs.CLarXiv:2601.04720v22026
Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric, Rémi Munos
cs.LGarXiv:1409.6110v22014
Kimi K2: Open Agentic Intelligence
Kimi Team, Yifan Bai, Yiping Bao +197
cs.LGcs.AIcs.CLarXiv:2507.20534v22025
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
stat.OTcs.LGstat.MLarXiv:2004.09010v12020
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller +30
q-bio.NCcs.AIcs.LGarXiv:2310.13018v32023
Sparse estimation of large covariance matrices via a nested Lasso penalty
Elizaveta Levina, Adam Rothman, Ji Zhu
stat.AParXiv:0803.3872v12008
Variable selection in semiparametric regression modeling
Runze Li, Hua Liang
math.STarXiv:0803.1931v12008
Optimal Packet Scheduling on an Energy Harvesting Broadcast Link
Mehmet Akif Antepli, Elif Uysal-Biyikoglu, Hakan Erkal
cs.ITarXiv:1010.4876v22010
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4
cs.NEcond-mat.mtrl-scics.LGarXiv:1406.4951v42014
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Jingcheng Hu, Yinmin Zhang, Qi Han +3
cs.LGcs.CLarXiv:2503.24290v22025
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
GLM-4. 5 Team, :, Aohan Zeng +169
cs.CLarXiv:2508.06471v12025
Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression
Viacheslav Yusupov, Daria Cherniuk, Evgeny Frolov
cs.LGcs.AIcs.CLarXiv:2609.02451v12026
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
cs.AIarXiv:2505.10468v52025
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Qingqing Zhao, Yao Lu, Moo Jin Kim +12
cs.CVcs.AIcs.LGarXiv:2503.22020v12025
Computer model validation with functional output
M. J. Bayarri, J. O. Berger, J. Cafeo +7
stat.MEarXiv:0711.3271v12007
How AI Prompts Can Teach Us About the Structure of Human Behavior
Matthew O. Jackson, Benjamin S. Manning, Yutong Xie +2
econ.THcs.AIarXiv:2608.18265v12026
FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC
Harini Venkatesan, Christian Shelton, Ming-Feng Ho +2
cs.AIarXiv:2608.13774v12026
A correlated topic model of Science
David M. Blei, John D. Lafferty
stat.AParXiv:0708.3601v22007
Pathwise coordinate optimization
Jerome Friedman, Trevor Hastie, Holger Höfling +1
stat.COmath.OCarXiv:0708.1485v22007
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart, Clint Scovel
math.STstat.MLarXiv:0708.1838v12007
On stabilizability and exact observability of stochastic systems with their applications
Weihai Zhang, Bor-Sen Chen
math.OCarXiv:2307.08915v12023
Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21
physics.ao-phstat.AParXiv:2004.06582v12020
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio, Andrea Lodi, Antoine Prouvost
cs.LGstat.MLarXiv:1811.06128v22018
The relationship between scientists' research performance and the degree of internationalization of their research
Giovanni Abramo, Ciriaco Andrea D'Angelo, Marco Solazzi
cs.DLarXiv:1811.01776v12018
Facial Expression Analysis under Partial Occlusion: A Survey
Ligang Zhang, Brijesh Verma, Dian Tjondronegoro +1
cs.CVarXiv:1802.08784v12018
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille, Stefano Soatto
cs.LGcs.AIstat.MLarXiv:1706.01350v32017
Cross-Covariance Functions for Multivariate Geostatistics
Marc G. Genton, William Kleiber
stat.MEarXiv:1507.08017v12015
Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey
Dimitri P. Bertsekas
eess.SYcs.DSmath.NAarXiv:1507.01030v22015
Doubly Robust Policy Evaluation and Optimization
Miroslav Dudík, Dumitru Erhan, John Langford +1
stat.MEcs.AIarXiv:1503.02834v12015
Instrumental Variables Estimation with Some Invalid Instruments and its Application to Mendelian Randomization
Hyunseung Kang, Anru Zhang, T. Tony Cai +1
stat.MEarXiv:1401.5755v32014
Estimating treatment effect heterogeneity in randomized program evaluation
Kosuke Imai, Marc Ratkovic
stat.AParXiv:1305.5682v12013

Every paper with a summary

Continuous-variable QKD over 50km commercial fiber

Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework

TinkerCell: Modular CAD Tool for Synthetic Biology

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data

Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

Automated Concatenation of Embeddings for Structured Prediction

Predictive learning via rule ensembles

Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation

Learning to Understand Phrases by Embedding the Dictionary

MotionDirector: Motion Customization of Text-to-Video Diffusion Models

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs

Jet Substructure Classification in High-Energy Physics with Deep Neural Networks

LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style Updates

One-step sparse estimates in nonconcave penalized likelihood models

Graph Meta Learning via Local Subgraphs

Adaptive Context-Aware Multi-Modal Network for Depth Completion

PCC: Re-architecting Congestion Control for Consistent High Performance

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reasoning Models Don't Always Say What They Think

Causal Bandits: Learning Good Interventions via Causal Inference

Bayesian Structure Learning in Sparse Gaussian Graphical Models

The sparsity and bias of the Lasso selection in high-dimensional linear regression

HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks

Support union recovery in high-dimensional multivariate regression

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking

Best-Arm Identification in Linear Bandits

Kimi K2: Open Agentic Intelligence

Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities

Getting aligned on representational alignment

Sparse estimation of large covariance matrices via a nested Lasso penalty

Variable selection in semiparametric regression modeling

Optimal Packet Scheduling on an Energy Harvesting Broadcast Link

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Computer model validation with functional output

How AI Prompts Can Teach Us About the Structure of Human Behavior

FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC

A correlated topic model of Science

Pathwise coordinate optimization

Fast rates for support vector machines using Gaussian kernels

On stabilizability and exact observability of stochastic systems with their applications

Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon

The relationship between scientists' research performance and the degree of internationalization of their research

Facial Expression Analysis under Partial Occlusion: A Survey

Emergence of Invariance and Disentanglement in Deep Representations

Cross-Covariance Functions for Multivariate Geostatistics

Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey

Doubly Robust Policy Evaluation and Optimization

Instrumental Variables Estimation with Some Invalid Instruments and its Application to Mendelian Randomization

Estimating treatment effect heterogeneity in randomized program evaluation