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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23,941 to 24,000 of 61,134

Spectrum-Aware Bounds on Invertibility for Privacy-Enhancing Instance Encoding
Seokjin Hwang, Yuting, Li +1
cs.LGcs.CRarXiv:2608.23382v12026
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
Stephen Chung, Wenyu Du, William J. Wesley
cs.AIcs.DMcs.MAarXiv:2608.23691v12026
Self-Calibrating Dense Displacement Fields for Reliable Co-Registration of Large Optical Satellite Imagery
Shoukun Sun, Zhe Wang, Sanaz Salati +3
cs.CVarXiv:2608.22300v12026
Safety Hacking in Constrained Best-of-$N$ Inference-time Scaling
Akifumi Wachi, Takumi Tanabe, Youhei Akimoto
cs.LGcs.AIcs.CLarXiv:2608.22915v12026
Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition
Wentao Hu, Zhuoyue Wan, Jinhao Shen +3
cs.CLarXiv:2608.23029v12026
GuardPaint:SpeculativeSafetyDecodingforText-to-ImageGeneration
Shreyash Dhoot, Paras Dhiman, Arsh Abbas Naqvi +4
cs.CVcs.AIarXiv:2608.21869v12026
On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models
Yang Yu
cs.LGarXiv:2608.22197v12026
ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling
Deyi Li, Qi Xu, Lingyao Li +3
cs.AIcs.MAarXiv:2608.21712v12026
UrbanGazeVis: A Visualization System for Analyzing Eye-Tracking Data on Urban Safety Perception
Andres De La Puente, Felipe Moreno, Luis Sante +2
cs.HCarXiv:2608.21686v12026
Loss Landscape Features That Make Adam Stall: Definitions, Estimators, and the Preconditioned Hessian View
Rodion Podorozhny
cs.LGmath.NAarXiv:2608.22145v12026
What Neural Network Field Theory Can and Cannot Realise on a Computer
Thomas R. Harvey
hep-thcs.LGhep-latarXiv:2608.21523v12026
RDANet: Relative Degradation Aware Network for Infrared Small Target Detection
Rui Liu, Jing Nie, Ying Fu
cs.CVarXiv:2608.20870v12026
COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models
Peiqi Yu, Nam Ling, Wei Wang +1
cs.LGarXiv:2608.21142v12026
Billion-Scale Nearest-Neighbor Search under Fully Homomorphic Encryption on a Single GPU, Balancing Leakage and Cost
Isamu Isozaki, Madison Bratina, Edward Kim
cs.CRarXiv:2608.21131v12026
A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving
Jingtao Sun, Xiaohai He, Yike Zhang +4
cs.CVcs.ROarXiv:2608.20890v12026
Aggregating Visual Information with Optimal Transport for VideoLM Token Compression
Wenti Yin, Xiaotian Han, Junyuan Shang +5
cs.CVarXiv:2608.20473v12026
Training, learning and inference: unified dynamics of neural systems
Mian Wang
cs.LGarXiv:2608.20965v12026
Testing and Evaluation of Agentic AI Systems In Military Command and Control
Ulysse Richard, Heather Frase, Sarah Cao +3
cs.SEcs.AIcs.CYarXiv:2608.20597v12026
Provable Edge-of-Stability for Adam on a One-Dimensional Quadratic
Yiman Fong, Heng Yang
cs.LGcs.AImath.OCarXiv:2608.20638v12026
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
Davide Romano, Kanak Raj, Jerrod Parker +1
cs.CLcs.AIarXiv:2608.18931v12026
More Granular, Less Trust: Enforcing Intra-Process Isolation with Arm CCA in an Untrusted Management Environment
Shiqi Liu, Zhouqi Jiang, Jie Wang +4
cs.CRarXiv:2608.20584v12026
RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training
Yugu Li, Jimmy Cao, Jianglin Qiao +1
cs.AIarXiv:2608.18682v12026
A strengthening of the MCFL-ness of $O_2$
Marco B. Caminati
cs.FLcs.AIcs.LOarXiv:2608.18813v12026
Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +3
cs.LGcs.AIarXiv:2608.18555v12026
Abra: Scaling Diffusion Image Training
Kyle Chickering, Wei-An Lin, Swayam Bhanded +5
cs.LGarXiv:2608.17286v12026
A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
Rafael Muñoz-Terol, Jesús Peral, Sandra Amador +1
cs.LGcs.AIarXiv:2608.18188v12026
Global Index on Responsible AI 2026 : Conceptual Framework and Methodology
Fola Adeleke, Rachel Adams, Ayantola Alayande +4
cs.CYcs.AIarXiv:2608.18122v12026
RDFdL: Integrating RDF with Differential Dynamic Logic
Yuyang Li, Lukas Kubelka, Julia Butte +1
cs.AIcs.FLcs.LOarXiv:2608.18165v12026
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Shahid Munir Shah +2
quant-phcs.AIcs.ETarXiv:2608.18155v12026
BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs
Cláudia Oliveira, Álvaro Figueira
cs.CLcs.LGarXiv:2608.18101v12026
Institutional Prestige as Geographic Bias in Large Language Models: Evidence from Three Factorial Experiments with Bootstrap Confidence Intervals
Maikel Leyva-Vazquez, Florentin Smarandache
cs.CLcs.AIarXiv:2608.18107v12026
Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models
Bilal Hussain, Xiao Tang, Qinghe Du +3
cs.CRcs.LGarXiv:2608.17796v12026
TokEval: A Tokenizer Evaluation Suite
Clara Meister
cs.CLcs.LGarXiv:2608.18062v12026
Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits
Kaifei Wang, Yinyu Ye, Han Zhong
stat.MLcs.LGmath.OCarXiv:2608.17841v12026
The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting
Nazlı Nur Karabulut, tanya Braun
cs.AIarXiv:2608.17749v12026
Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Vision-Language Refinement
Mohammad Talebi-Kalaleh, Qipei Mei
cs.CVcs.AIarXiv:2608.17237v12026
Expressivity In Multimodal Contrastive Learning
Andrew Stuart, Florian Wolf
stat.MLcs.LGmath.STarXiv:2608.17203v12026
Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data
Kai Yang, Masoud Asgharian, Celia M. T. Greenwood
math.OCcs.AImath.STarXiv:2608.17244v12026
The Problem Is the Problem: Towards Scalable Mathematical Discovery
Zeyu Zheng, Shengtong Zhang, Jeremy Avigad +2
cs.AImath.COarXiv:2608.16977v12026
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang, Yandong Li, Yiwei Sun +3
cs.LGcs.CRcs.SIarXiv:1908.07558v32019
How smoothing the affinity matrix affects neighborhood preservation in t-SNE
Shirin Mohebi, Guillaume Bied, Jefrey Lijffijt
cs.LGcs.CVarXiv:2608.17190v12026
Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss
Daniel Palacios, Matthew Brady Neeley, Angel Adetomike Otto +6
cs.CLcs.AIarXiv:2608.17051v12026
There is No Theoretical Curse of Multilinguality For Embedding Space Structure
Niyati Bafna, Neha Verma, Vilém Zouhar +2
cs.CLarXiv:2608.17088v12026
Learning Generalizable Reconstruction of High-Dimensional Neural Dynamics
Anima Kujur, Zahra Monfared
cs.LGarXiv:2608.16569v12026
Detecting and Discriminating Operator Misspecification in Hybrid PDE-Parameter Learning: a Reference-Free Instrument, with Discrimination Bounded In Sample
Eric Fock
cs.LGmath.NAstat.MEarXiv:2608.16925v12026
Closing the Affective Loop: Multimodal Speaker-Listener Emotion-Dynamics-Aware Empathetic Social Robots
Zi Haur Pang, Casey Kennington, Tatsuya Kawahara
cs.HCcs.CLcs.ROarXiv:2608.16686v12026
Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling
Clemens Schächter, Astrid Pechmann, Janbernd Kirschner +2
cs.AIarXiv:2608.16507v12026
Defeating Prompt Injections by Design
Edoardo Debenedetti, Ilia Shumailov, Tianqi Fan +7
cs.CRcs.AIarXiv:2503.18813v22025
Offline Reinforcement Learning for Hemodynamic Management of Sepsis in the ICU: a MIMIC-IV Study with Dual Off-Policy Evaluation
Marc Pérez-Roig, David Fernández-Narro, Carlos Sáez
cs.AIcs.LGarXiv:2608.16482v12026
Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152
Vahid Zolfaghari, Nenad Petrovic, AndrÉ Schamschurko +1
cs.AIcs.IRarXiv:2608.16394v12026
The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning
Małgorzata Łazęcka, Ewa Szczurek
cs.LGarXiv:2608.16245v12026
Demystifying Oversmoothing in Sheaf Neural Networks: An Index-Theoretic Criterion
Junwen Dong, Yuhan Peng, Hao Li +2
cs.LGmath.DGarXiv:2608.16180v12026
AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving
Yuting Wu, Dongfang Guo, Xiangzhong Luo +2
cs.LGcs.CVarXiv:2608.16031v12026
Bilingual-GAN: A Step Towards Parallel Text Generation
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar +2
cs.CLcs.LGarXiv:1904.04742v22019
RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction
Mianzhi Liu, Fan Xiao, Zhiliang Yu +5
cs.LGcs.AIarXiv:2608.16111v12026
Temporal Logic Guided Universal Task Representations for Reinforcement Learning
Hao Zhang, Zhangli Zhou, Zhen Kan
cs.ROcs.FLcs.LGarXiv:2608.15509v12026
Crystal-structure design by agentic AI in a language of motifs
Dinh-Khiet Le, Minh-Quyet Ha, Hong-Phuc Vu-Dinh +3
cond-mat.mtrl-scics.LGarXiv:2608.15900v12026
A Responsible Artificial Intelligence Framework for Groundwater Modeling
Chong Chen, Yulu Zhang, Qingxi Guo +1
cs.AIarXiv:2608.15657v12026
Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery
Nicola Cogotti
cs.IRcs.AIarXiv:2608.15919v12026
Security in Mobile Edge Caching with Reinforcement Learning
Liang Xiao, Xiaoyue Wan, Canhuang Dai +3
cs.CRarXiv:1801.05915v12018

Every paper with a summary

Spectrum-Aware Bounds on Invertibility for Privacy-Enhancing Instance Encoding

Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment

Self-Calibrating Dense Displacement Fields for Reliable Co-Registration of Large Optical Satellite Imagery

Safety Hacking in Constrained Best-of-$N$ Inference-time Scaling

Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition

GuardPaint:SpeculativeSafetyDecodingforText-to-ImageGeneration

On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models

ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling

UrbanGazeVis: A Visualization System for Analyzing Eye-Tracking Data on Urban Safety Perception

Loss Landscape Features That Make Adam Stall: Definitions, Estimators, and the Preconditioned Hessian View

What Neural Network Field Theory Can and Cannot Realise on a Computer

RDANet: Relative Degradation Aware Network for Infrared Small Target Detection

COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models

Billion-Scale Nearest-Neighbor Search under Fully Homomorphic Encryption on a Single GPU, Balancing Leakage and Cost

A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving

Aggregating Visual Information with Optimal Transport for VideoLM Token Compression

Training, learning and inference: unified dynamics of neural systems

Testing and Evaluation of Agentic AI Systems In Military Command and Control

Provable Edge-of-Stability for Adam on a One-Dimensional Quadratic

Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck

More Granular, Less Trust: Enforcing Intra-Process Isolation with Arm CCA in an Untrusted Management Environment

RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training

A strengthening of the MCFL-ness of $O_2$

Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments

Abra: Scaling Diffusion Image Training

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

Global Index on Responsible AI 2026 : Conceptual Framework and Methodology

RDFdL: Integrating RDF with Differential Dynamic Logic

How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection

BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs

Institutional Prestige as Geographic Bias in Large Language Models: Evidence from Three Factorial Experiments with Bootstrap Confidence Intervals

Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models

TokEval: A Tokenizer Evaluation Suite

Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits

The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting

Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Vision-Language Refinement

Expressivity In Multimodal Contrastive Learning

Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data

The Problem Is the Problem: Towards Scalable Mathematical Discovery

Transferring Robustness for Graph Neural Network Against Poisoning Attacks

How smoothing the affinity matrix affects neighborhood preservation in t-SNE

Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss

There is No Theoretical Curse of Multilinguality For Embedding Space Structure

Learning Generalizable Reconstruction of High-Dimensional Neural Dynamics

Detecting and Discriminating Operator Misspecification in Hybrid PDE-Parameter Learning: a Reference-Free Instrument, with Discrimination Bounded In Sample

Closing the Affective Loop: Multimodal Speaker-Listener Emotion-Dynamics-Aware Empathetic Social Robots

Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling

Defeating Prompt Injections by Design

Offline Reinforcement Learning for Hemodynamic Management of Sepsis in the ICU: a MIMIC-IV Study with Dual Off-Policy Evaluation

Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152

The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning

Demystifying Oversmoothing in Sheaf Neural Networks: An Index-Theoretic Criterion

AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving

Bilingual-GAN: A Step Towards Parallel Text Generation

RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction

Temporal Logic Guided Universal Task Representations for Reinforcement Learning

Crystal-structure design by agentic AI in a language of motifs

A Responsible Artificial Intelligence Framework for Groundwater Modeling

Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery

Security in Mobile Edge Caching with Reinforcement Learning