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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22,921 to 22,980 of 61,100

AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation
Xiangfei Sheng, Weidong Zou, Tianjiao Gu +3
cs.CVarXiv:2608.20713v12026
RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction
Guangyu Wang, Zhidan Liu
cs.LGcs.AIarXiv:2608.20656v12026
TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction
Chuanjin Fan, Wenjie Chang, Bohao Liao +3
cs.CVcs.GRarXiv:2608.20687v12026
System Architecture and Key Technologies for 5G Heterogeneous Cloud Radio Access Networks
Mugen Peng, Yong Li, Zhongyuan Zhao +1
cs.ITcs.NIarXiv:1412.6677v12014
Backdoor Learning in Language Models and Vision-Language Models
Weimin Lyu
cs.CLcs.AIarXiv:2608.18095v12026
Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing
Huiling Meng, Ningyuan Chen, Xuefeng Gao
cs.LGarXiv:2608.20680v12026
Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data
Siyuan Tang, Gongjun Xu, Ji Zhu
stat.MEcs.LGstat.MLarXiv:2608.20562v12026
From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model
Qi Yu, Zhichen Zeng, Katherine Tieu +8
cs.CVcs.AIcs.CLarXiv:2608.18339v12026
Machine Learning for Neuroimaging with Scikit-Learn
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg +6
cs.LGcs.CVstat.MLarXiv:1412.3919v12014
Minimax Optimality of Score-Entropy Discrete Diffusion
Cholyeon Cho, Yuchen Wu
stat.MLcs.LGarXiv:2608.20635v12026
Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer
Qinyang Xu
cs.LGarXiv:2608.20442v12026
Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance
Sebastian Meyer, Leonhard Held, Michael Höhle
stat.COcs.CEphysics.data-anarXiv:1411.0416v22014
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming
Bruce Hajek, Yihong Wu, Jiaming Xu
stat.MLcs.DSmath.PRarXiv:1412.6156v22014
Persistent homology analysis of protein structure, flexibility and folding
Kelin Xia, Guo-Wei Wei
q-bio.BMarXiv:1412.2779v12014
Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection
Shashank Kotyan, Makoto Shing, Yuki Imajuku +2
cs.CVcs.AIarXiv:2608.18523v12026
Convex Optimization for Big Data
Volkan Cevher, Stephen Becker, Mark Schmidt
math.OCcs.LGstat.MLarXiv:1411.0972v12014
The concentration game: Bayesian updating, regret, and information
Akshay Balsubramani
cs.LGcs.GTmath.PRarXiv:2608.18061v12026
Debiased Inference for AI-Generated Data without Gold-Standard Labels: Identification via Multiple Imperfect Measurements
Naoki Egami, Sooahn Shin
stat.MEcs.AIcs.CLarXiv:2608.18294v12026
Rate-optimal graphon estimation
Chao Gao, Yu Lu, Harrison H. Zhou
math.STarXiv:1410.5837v32014
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
Yijie Xu, Chao Wang, Hui Xiong
cs.SIcs.AIcs.CLarXiv:2608.17987v12026
Learning to Execute
Wojciech Zaremba, Ilya Sutskever
cs.NEcs.AIcs.LGarXiv:1410.4615v32014
HLSR: Hybrid Live Forecast Selective Dynamic Vehicle Rerouting for Real-Time Congestion Avoidance
Xiao Wang, Shun Ren Yang, Hui Nien Hung
cs.AIarXiv:2608.18056v12026
Dynamic Compression in Recurrent Networks
Jyothish Pari, Ryan Bahlous-Boldi, Pulkit Agrawal
cs.LGarXiv:2608.17896v12026
Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents
Christophe D. Hounwanou, John Emeka Eze, Yaé U. Gaba
cs.LGcs.AIarXiv:2608.18008v12026
A Residual Learning Approach for Unsteady Aerodynamic Load Prediction
Divya Sanghi, Carlos E. S. Cesnik
physics.flu-dyncs.LGarXiv:2608.17894v12026
Leveraging Association Context Retrieval in Knowledge Edit- ing to Build White-Box Attacks on LLMs
Roman Maksimov, Vladimir Aletov, Vladimir Solodkin +3
cs.LGarXiv:2608.17836v12026
Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors
Deliang Wei, Evan Bell, Wenhan Guo +2
cs.LGarXiv:2608.17666v12026
Evaluating the Diversity of AI-Generated Content with Diversity Profiles
Xiuyuan Hu, Xuege Hou, Guoqing Liu +6
cs.AIarXiv:2608.17731v12026
Code as Representation: A Compilable Parsing Paradigm for Academic Documents
Rihui Jin, Jun Wang, chengyuan zhu +11
cs.CVcs.CLarXiv:2608.17550v12026
Benchmarking Automated Security Patch Backporting: How Far Are We?
Jincheng Yang, Yulong Fu, Chengwei Liu +5
cs.SEcs.AIcs.CRarXiv:2608.17671v12026
GADR: Gathering Architecture Decision Records from Meeting Transcriptions
Lucas Daniel Costa da Silva, Kiev Gama
cs.SEcs.AIarXiv:2608.17694v12026
Decomposition Attacks Across Unlinkable Identities: Limits of Stateful Defenses for LLM Services
Bowen Sun, Zhengyue Zhao, Xiaogeng Liu +2
cs.CRcs.CLarXiv:2608.17445v12026
Quantifying Risk Under Evolving Uncertainty: Belief-Dependent Robustness for Safe Sequential Decision Making
Deep Kumar Ganguly, Jan Kretinsky
cs.AIarXiv:2608.17574v12026
SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting
Baishi Li, Kelvin J. L. Koa, Ke-Wei Huang
stat.MLcs.AIcs.LGarXiv:2608.17333v12026
Learning What Not to Learn: Adversarial Disentangled Prompt Tuning for Robust Vision-Language Models
Yang Chen, Zhan Zhuang, Yanbin Wei +3
cs.CVcs.AIarXiv:2608.17306v12026
Depth Enables Local Entropy: Quadratic Depth Dependence in Deep Variation-Norm ReLU Regression
Tao Jiang, Minbo Gao, Shaowei Cai
cs.AIarXiv:2608.17434v12026
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL
Yunhao Yang, Yuexin Bian, Yunjie Tian +6
cs.LGcs.AIcs.CVarXiv:2608.17253v12026
GenRouter: Unified Workflow Routing for Agentic Image Generation
Harold Haodong Chen, Zhiyu Hou, Wen-Jie Shu +4
cs.CVarXiv:2608.16721v12026
Certified but Private: Scalable Zero-Knowledge Proofs for Neural Network Guarantees
Youwei Zhong, Ben Merbaum, Timos Antonopoulos +4
cs.LGcs.CRcs.LOarXiv:2608.17070v12026
LiD-GLM: Lipschitz-constrained Deep Generalized Linear Models
Tom Splittgerber, Niklas Koenen, Marvin N. Wright +1
stat.MLcs.LGarXiv:2608.16340v12026
Spectral Gaps of Hit-and-Run and Coordinate Hit-and-Run
Yunbum Kook, Santosh S. Vempala
cs.DScs.LGmath.PRarXiv:2608.16878v12026
Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis
Reza Fayyazi, Michael Zuzak, Shanchieh Jay Yang
cs.CRcs.AIarXiv:2608.16775v12026
TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation
Haoran Wang, Chaofan Ma, Ran Yi +1
cs.CVcs.AIarXiv:2608.16765v12026
LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing
Ruoqi Shu, Xuhui Wang, Isaac Wang +2
cs.AIarXiv:2608.16763v12026
SoftModel: A Neural Model That Grows Its Own Topology -- Governed Structural Growth for Continual In-Service Learning
Zhoumin Xie
cs.LGarXiv:2608.16409v12026
FabriMAE I Trust Myself? Self-Evaluating VLA Action Generation with Markov Attention Entropy
Aniri, Chen Yilin, Jinhe Bi +10
cs.AIarXiv:2608.16697v12026
Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density
Keyi Li, Yuval Kluger, Boris Landa
stat.MLcs.LGstat.AParXiv:2608.16506v12026
DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies
Chengxi Ye, Chris Hill, Shigang Wu +3
q-bio.GNarXiv:1410.2801v42014
UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures
Homa Esfahanizadeh, Matin Mortaheb, Jinfeng Du +1
cs.LGcs.AIcs.ITarXiv:2608.16696v12026
PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy
Zheng Chen, Zhaoxin Feng, Yip Tin Po +3
cs.CLarXiv:2608.16650v12026
Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization
Shion Takeno, Shogo Iwazaki
stat.MLcs.LGarXiv:2608.16492v12026
The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach
Rafael Pass
cs.AIcs.CCcs.ITarXiv:2608.16438v12026
Coverage-Maximizing Multinomial Subset Routing under Operational Constraints
Quan Zhou, Yiyan Huang
cs.LGcs.AIarXiv:2608.16375v12026
HalluTracer: Hallucination Detection via Depth-Averaging Truth Signals
Zhihao Guo, Zonghan Wu, Huan Huo +6
cs.CLcs.AIarXiv:2608.16353v12026
What Does Context Compression Cost an Agent? Interaction Costs Unrevealed by Task-Completion Metrics
Shuyu Liu
cs.AIarXiv:2608.16370v12026
TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition
Aidan Bradshaw, Riku Arakawa, Xin Liu +1
cs.LGarXiv:2608.15861v12026
Defake-o3: From Speculative Rationales to Verifiable Evidence for Explainable AIGI Detection
Bowen Deng, Jiahui Zhan, Yikun Ji +2
cs.CVcs.AIarXiv:2608.16259v12026
HyperSkill: Self-Evolving LLM Agents via Hypergraph-Structured Skill Memory
Ruiyao Xu, Tiankai Yang, Wei-Chieh Huang
cs.CLarXiv:2608.16114v12026
Human language reveals a universal positivity bias
Peter Sheridan Dodds, Eric M. Clark, Suma Desu +11
physics.soc-phcs.CLcs.SIarXiv:1406.3855v12014
Information Geometry of Message Passing
Mykola Lukashchuk, Kyrylo Yemets, Alex Ledbetter +1
cs.LGcs.AIarXiv:2608.15922v12026

Every paper with a summary

AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation

RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction

TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction

System Architecture and Key Technologies for 5G Heterogeneous Cloud Radio Access Networks

Backdoor Learning in Language Models and Vision-Language Models

Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing

Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data

From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model

Machine Learning for Neuroimaging with Scikit-Learn

Minimax Optimality of Score-Entropy Discrete Diffusion

Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer

Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming

Persistent homology analysis of protein structure, flexibility and folding

Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection

Convex Optimization for Big Data

The concentration game: Bayesian updating, regret, and information

Debiased Inference for AI-Generated Data without Gold-Standard Labels: Identification via Multiple Imperfect Measurements

Rate-optimal graphon estimation

Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media

Learning to Execute

HLSR: Hybrid Live Forecast Selective Dynamic Vehicle Rerouting for Real-Time Congestion Avoidance

Dynamic Compression in Recurrent Networks

Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents

A Residual Learning Approach for Unsteady Aerodynamic Load Prediction

Leveraging Association Context Retrieval in Knowledge Edit- ing to Build White-Box Attacks on LLMs

Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors

Evaluating the Diversity of AI-Generated Content with Diversity Profiles

Code as Representation: A Compilable Parsing Paradigm for Academic Documents

Benchmarking Automated Security Patch Backporting: How Far Are We?

GADR: Gathering Architecture Decision Records from Meeting Transcriptions

Decomposition Attacks Across Unlinkable Identities: Limits of Stateful Defenses for LLM Services

Quantifying Risk Under Evolving Uncertainty: Belief-Dependent Robustness for Safe Sequential Decision Making

SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting

Learning What Not to Learn: Adversarial Disentangled Prompt Tuning for Robust Vision-Language Models

Depth Enables Local Entropy: Quadratic Depth Dependence in Deep Variation-Norm ReLU Regression

Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL

GenRouter: Unified Workflow Routing for Agentic Image Generation

Certified but Private: Scalable Zero-Knowledge Proofs for Neural Network Guarantees

LiD-GLM: Lipschitz-constrained Deep Generalized Linear Models

Spectral Gaps of Hit-and-Run and Coordinate Hit-and-Run

Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis

TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation

LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing

SoftModel: A Neural Model That Grows Its Own Topology -- Governed Structural Growth for Continual In-Service Learning

FabriMAE I Trust Myself? Self-Evaluating VLA Action Generation with Markov Attention Entropy

Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density

DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies

UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures

PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy

Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization

The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach

Coverage-Maximizing Multinomial Subset Routing under Operational Constraints

HalluTracer: Hallucination Detection via Depth-Averaging Truth Signals

What Does Context Compression Cost an Agent? Interaction Costs Unrevealed by Task-Completion Metrics

TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition

Defake-o3: From Speculative Rationales to Verifiable Evidence for Explainable AIGI Detection

HyperSkill: Self-Evolving LLM Agents via Hypergraph-Structured Skill Memory

Human language reveals a universal positivity bias

Information Geometry of Message Passing