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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43,081 to 43,140 of 120,236

PathTime-VLA: Path-Time Decoupling for Factorized Post-Training of Vision-Language-Action Policies
Qing Huang, Yifei Yang, Ziqing Zou +5
cs.ROarXiv:2610.11771v12026
SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment
Joseph Breda, Fadi Yousif, Beszel Hawkins +30
cs.AIarXiv:2605.04012v22026
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Prateek Chhikara, Dev Khant, Saket Aryan +2
cs.CLcs.AIarXiv:2504.19413v12025
Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation
Maxime Griot, Paul Steven Scotti, Tanishq Mathew Abraham
cs.LGcs.CLarXiv:2606.05988v12026
Streaming-WAM: Action-Conditioned World-Action Model for Asynchronous Robot Manipulation
Xuyao Huang, Yixuan Wang, Zengyao Ye +4
cs.ROarXiv:2609.28927v12026
Reactive Peripheral Modeling for Faithful Firmware Rehosting
Qinying Wang, Florian Hofhammer, Eduard Vlad +4
cs.CRarXiv:2608.29737v12026
Offline Deep Q* Estimation with Diffusion Models
Xiaohong Chen, Yuling Jiao, Lican Kang +2
stat.MLcs.LGarXiv:2608.14401v12026
The Illusion of Independent Quorums: Epistemic Fault Domains and Correlated Cognitive Failures in Agentic Quorums
Jun He, Deying Yu
cs.DCcs.MAcs.SEarXiv:2609.02925v12026
Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVcs.LGarXiv:1603.05027v32016
Observability and Controllability of Nonlinear Networks: The Role of Symmetry
Andrew J. Whalen, Sean N. Brennan, Timothy D. Sauer +1
q-bio.NCnlin.CDq-bio.QMarXiv:1307.5478v32013
Think-Probe-Respond: Improving Large Language Models as Judges of Research Idea Novelty
Tim Schopf, Tobias Schreieder, Akiko Aizawa
cs.CLcs.AIarXiv:2608.25660v12026
SRPO: Setwise Relative Policy Optimization for Multi-Agent LLMs
Shengtian Yang, Ziyu Xiong, Yu Li +3
cs.AIarXiv:2609.08452v12026
Grassmann--Pl\"ucker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings
Hongyu Yuan, Huaiqing Zuo
math.AGcs.LGarXiv:2609.03361v12026
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
Christina Baek, Yiding Jiang, Aditi Raghunathan +1
cs.LGcs.AIarXiv:2206.13089v22022
Steering LLMs via Scalable Interactive Oversight
Enyu Zhou, Zhiheng Xi, Long Ma +9
cs.AIcs.LGarXiv:2602.04210v22026
Vibe Coding: Practice, Performance, Productivity, and Risk -A State-of-the-Art Review
Dominik L. Michels, Mutaz Abu Ghazaleh, Francois Lazzari +2
cs.SEarXiv:2608.20446v12026
The Wiretap Channel with Feedback: Encryption over the Channel
Lifeng Lai, Hesham El Gamal, H. Vincent Poor
cs.ITcs.CRarXiv:0704.2259v12007
Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content
Guo Zhang, Ying Ding, Staša Milojević
cs.DLcs.IRcs.ITarXiv:1211.6321v12012
ARQ for Network Coding
Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard
cs.ITcs.NIarXiv:0802.1754v12008
Simulation-Free Learning of Population Dynamics with Wasserstein Lagrangian Residuals
Fedor Sergeev, Markus Heinonen, Daniel Waxman +4
cs.LGstat.MEstat.MLarXiv:2610.03679v12026
A non-parametric ensemble transform method for Bayesian inference
Sebastian Reich
math.NAmath.DSmath.OCarXiv:1210.0375v42012
PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM
Yongqi Mao, Hao Shi, Yufan Zhang +3
cs.CVarXiv:2609.17387v12026
High-Order-Accurate Continuity Enforcing Nyström Discretization of 3D Maxwell Combined Field Integral Equations
Bernd Hofmann, Reza Molavi, Constantine Sideris
math.NAphysics.comp-pharXiv:2608.28876v12026
MissForest - nonparametric missing value imputation for mixed-type data
Daniel J. Stekhoven, Peter Bühlmann
stat.APstat.MLarXiv:1105.0828v22011
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
Caigao Jiang, Xiang Shu, Hong Qian +4
cs.AIcs.LGarXiv:2410.13213v22024
Adaptive Mixing of Policies from Searching and Policies from Learning
Gavin B. Rens
cs.AIarXiv:2608.15700v12026
From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and Segmentation
Haowen Gu, Gensheng Pei, Junzhu Mao +3
cs.CVcs.AIarXiv:2608.26856v12026
Summaries:简体中文
Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
Niloofar Gholipour, Marcos Assuncao, Gursimran Singh +8
cs.AIcs.DCarXiv:2609.25463v12026
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
Zhongyi Shui, Jianpeng Zhang, Weiwei Cao +8
cs.CVarXiv:2501.14548v12025
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
Bo Li, Mingda Wang, Gexiang Fang +2
cs.CLcs.AIarXiv:2604.11407v22026
Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV
Vincenzo Dentamaro, Pancrazio Auteri, Giuseppe Pirlo
cs.ARcs.CLarXiv:2608.23599v12026
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
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?
Kexian Tang, Junyao Gao, Yanhong Zeng +6
cs.AIarXiv:2503.19990v42025
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
Michael Psenka, Alejandro Escontrela, Pieter Abbeel +1
cs.LGcs.AIarXiv:2312.11752v52023
Defense-in-Depth at the Perception-Reasoning Interface of LLM-Centric Agentic UAV Swarms
Mohammadhossein Homaei, Yousef Emami, Sajad Homayoun +4
cs.CRcs.MAarXiv:2610.03319v12026
MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents
Zhenyu Zhang, Jiudong Yang
cs.AIcs.CLarXiv:2609.14399v22026
Emo-BPO: Emotion Bidirectional Preference Optimization for Diffusion-based Emotional TTS
Jiacheng Shi, Hongfei Du, Xinyuan Song +3
cs.SDeess.ASarXiv:2610.12958v12026
Spatial search by quantum walk is optimal for almost all graphs
Shantanav Chakraborty, Leonardo Novo, Andris Ambainis +1
quant-pharXiv:1508.01327v32015
Parallel Multi-Block ADMM with o(1/k) Convergence
Wei Deng, Ming-Jun Lai, Zhimin Peng +1
math.OCarXiv:1312.3040v22013
Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge
Chen Chen, Mohsen Nayebi Kerdabadi, Dongjie Wang +2
cs.LGcs.AIarXiv:2609.01839v12026
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Keming Wu, Sicong Jiang, Max Ku +3
cs.CVcs.AIcs.CLarXiv:2509.26346v22025
More Than Just Access: Generative AI as Communication Intermediary for Blind and Low-Vision Users
Protik Dey, Mohd Saifuzzaman, Taslima Akter
cs.HCcs.AIcs.ETarXiv:2609.15696v12026
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi +13
cs.AIcs.CLcs.LGarXiv:2511.07685v12025
AutoFyn Technical Report: Non-Parametric Expert Iteration for Long-Horizon Agents
Adib Hasan, Daniel Schaffield, Akashnil Dutta +1
cs.AIarXiv:2609.05446v12026
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang, Samyak Gupta, Zhao Song +2
cs.CRcs.LGarXiv:2112.00059v12021
GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards
Tej Deep Pala, Vernon Toh, Soujanya Poria
cs.CLarXiv:2606.04889v12026
Training Language Models to Explain Their Own Computations
Belinda Z. Li, Zifan Carl Guo, Vincent Huang +2
cs.CLcs.AIcs.LGarXiv:2511.08579v32025
Analytical Approach to Parallel Repetition
Irit Dinur, David Steurer
cs.CCarXiv:1305.1979v32013
Techniques for Learning Binary Stochastic Feedforward Neural Networks
Tapani Raiko, Mathias Berglund, Guillaume Alain +1
stat.MLcs.LGcs.NEarXiv:1406.2989v32014
$\mathrm{ECI}_{\mathrm{sem}}$: Semantic Residual Effective Contrastive Information for Evaluating Hard Negatives
Aarush Sinha, Rahul Seetharaman, Aman Bansal
cs.IRcs.AIarXiv:2603.20990v42026
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
Venkatesh Balavadhani Parthasarathy, Ahtsham Zafar, Aafaq Khan +1
cs.LGcs.CLarXiv:2408.13296v32024
SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent
Yuyang Hu, Hongjin Qian, Shuting Wang +5
cs.AIarXiv:2605.24468v12026
Code Owns the Simulation, Jev Owns the Evaluation
Yaodong Yang, Hongyao Tang, Yi Ma +4
cs.AIcs.LGarXiv:2610.01834v12026
Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models
Md Khalid Syfullah, Alvi Ataur Khalil
cs.CVcs.AIcs.CRarXiv:2609.15671v12026
Parallel Time-Band Mixing with Learned Observation-Adding for Robust ASR Front-Ends
Xingyu Shen, Runze Wang, Wei-Ping Zhu +1
cs.SDcs.AIarXiv:2608.30326v12026
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez +3
stat.MLcs.PFcs.SEarXiv:1709.02280v12017
Stochastic Graph Compression for Constant-Memory Differentiable Light Tracing
Linas Beresna, Eugene Fiume
cs.GRarXiv:2610.10847v12026
A deep learning model for estimating story points
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran +3
cs.SEcs.LGstat.MLarXiv:1609.00489v22016
A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling
Filippo Dainelli, Amirpasha Mozaffari, Marina Castaño +5
physics.ao-phcs.AIcs.LGarXiv:2609.00847v12026
IoT Stream Processing and Analytics in The Fog
Shusen Yang
cs.NIarXiv:1705.05988v12017

Every paper with a summary

PathTime-VLA: Path-Time Decoupling for Factorized Post-Training of Vision-Language-Action Policies

SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation

Streaming-WAM: Action-Conditioned World-Action Model for Asynchronous Robot Manipulation

Reactive Peripheral Modeling for Faithful Firmware Rehosting

Offline Deep Q* Estimation with Diffusion Models

The Illusion of Independent Quorums: Epistemic Fault Domains and Correlated Cognitive Failures in Agentic Quorums

Identity Mappings in Deep Residual Networks

Observability and Controllability of Nonlinear Networks: The Role of Symmetry

Think-Probe-Respond: Improving Large Language Models as Judges of Research Idea Novelty

SRPO: Setwise Relative Policy Optimization for Multi-Agent LLMs

Grassmann--Pl\"ucker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings

Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift

Steering LLMs via Scalable Interactive Oversight

Vibe Coding: Practice, Performance, Productivity, and Risk -A State-of-the-Art Review

The Wiretap Channel with Feedback: Encryption over the Channel

Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content

ARQ for Network Coding

Simulation-Free Learning of Population Dynamics with Wasserstein Lagrangian Residuals

A non-parametric ensemble transform method for Bayesian inference

PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM

High-Order-Accurate Continuity Enforcing Nyström Discretization of 3D Maxwell Combined Field Integral Equations

MissForest - nonparametric missing value imputation for mixed-type data

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch

Adaptive Mixing of Policies from Searching and Policies from Learning

From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and Segmentation

Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning

Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV

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

LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?

Learning a Diffusion Model Policy from Rewards via Q-Score Matching

Defense-in-Depth at the Perception-Reasoning Interface of LLM-Centric Agentic UAV Swarms

MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents

Emo-BPO: Emotion Bidirectional Preference Optimization for Diffusion-based Emotional TTS

Spatial search by quantum walk is optimal for almost all graphs

Parallel Multi-Block ADMM with o(1/k) Convergence

Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

More Than Just Access: Generative AI as Communication Intermediary for Blind and Low-Vision Users

ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents

AutoFyn Technical Report: Non-Parametric Expert Iteration for Long-Horizon Agents

Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards

Training Language Models to Explain Their Own Computations

Analytical Approach to Parallel Repetition

Techniques for Learning Binary Stochastic Feedforward Neural Networks

$\mathrm{ECI}_{\mathrm{sem}}$: Semantic Residual Effective Contrastive Information for Evaluating Hard Negatives

The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent

Code Owns the Simulation, Jev Owns the Evaluation

Don't Send What You Don't Need: Question-Guided Token Pruning as a Privacy Defense for Vision-Language Models

Parallel Time-Band Mixing with Learned Observation-Adding for Robust ASR Front-Ends

Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis

Stochastic Graph Compression for Constant-Memory Differentiable Light Tracing

A deep learning model for estimating story points

A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling

IoT Stream Processing and Analytics in The Fog