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.

Search paper metadata (including unsummarized papers)

24,121 to 24,180 of 119,904

When Learned Context Planning Fails to Beat Strong Retrieval: A Controlled Study of Planning, Routing, and Reranking for Long-Context QA
Yingrui Li, Han Chen
cs.CLcs.IRarXiv:2609.26976v12026
Consequences of Misaligned AI
Simon Zhuang, Dylan Hadfield-Menell
cs.AIarXiv:2102.03896v12021
Classifying Interpretive Canons at the Sentence Level: A Benchmark from the German Federal Constitutional Court
Felix Ringe
cs.CLcs.CYarXiv:2609.26945v12026
OverSeer: Multi-Agent World Models Beyond What Agents See
Runjia Li, Kam Woh Ng, Minghao Chen +6
cs.CVarXiv:2610.28554v12026
Intel TDX Demystified: A Top-Down Approach
Pau-Chen Cheng, Wojciech Ozga, Enriquillo Valdez +5
cs.CRcs.OSarXiv:2303.15540v12023
SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation
Yanjin He, Cuifeng Shen, Wanzhou Lei +5
cs.LGcs.AIcs.CVarXiv:2610.25844v12026
PVBench: Quantifying Physical Plausibility in Video Generation with Object-Level Physical Measurements
Kaiwei Chen, Moran Li, Zhenye Gan +5
cs.CVarXiv:2610.26711v12026
Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen
Om Nepal, Sushant Aryal, Oluseyi Olukola +1
cs.SEcs.AIcs.CRarXiv:2609.26749v12026
ACE-Brain-0.6: Scaling Spatial Grounding for Physical Foundation Models
Yinhe Wang, Tao Tao, Zexin He +11
cs.ROarXiv:2610.27040v12026
Beyond Small Talk: Modeling Disclosure Trajectories in Human-AI Conversation
Keith Kwok, Wanting Ning, Tej Deep Pala +4
cs.CLcs.AIcs.HCarXiv:2610.29413v12026
Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows
Remy Stewart, Olabode Anise, Andrew Hogan +1
cs.HCcs.AIarXiv:2609.26725v12026
Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
Wenqi Zhang, Yongliang Shen, Linjuan Wu +4
cs.CLcs.AIarXiv:2401.02009v32024
FairMean: Promoting Fairness in Distributed Learning under Label Poisoning Attacks
Huigan Zheng, Jiaojiao Zhang, Yongxiang Liu
cs.LGcs.AIarXiv:2609.26377v12026
Recognized but Not Produced: A Generation Benchmark for Culturally Specific Kinship Terms
Sahil Pardasani, Madhusudan Singh
cs.CLcs.AIarXiv:2609.26942v12026
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda, Taosha Fan, Maurizio Monge +10
cs.ROcs.CVcs.LGarXiv:2207.09442v32022
Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation
Lijuan Tang, Yuemeng Zheng
cs.CLcs.AIcs.SEarXiv:2609.26693v12026
AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation
Jiadi You, Qize Yu, Yue Chen +11
cs.ROcs.AIcs.CVarXiv:2609.22332v32026
FineSplat: Fine Patches, Local Groups, Detailed Splats
Hyebin Kim, Hwasik Jeong, Joonhyuk Park +4
cs.CVarXiv:2610.25011v12026
VLA-Rolling: Fewer Denoising Steps, Better Control via Adaptive Action Reuse
Sicheng He, Yi Pan, Qiuting Yu +10
cs.AIcs.ROarXiv:2610.25043v32026
CoworkEnv: Synthesizing Training Environments for Long-Horizon Cowork Agents
Zhongwei Xie, Yiming Du, Jiaxin Bai +10
cs.AIcs.CLarXiv:2610.24960v12026
Geometry-Aware Hyperbolic Residual-Quantized Variational Autoencoders
Alessio Colombo, Melika Ayoughi
cs.LGcs.AIarXiv:2609.26342v22026
ContextCite: Attributing Model Generation to Context
Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev +1
cs.LGcs.CLarXiv:2409.00729v22024
MT Forcing: Towards Stable and Consistent Multi-Turn Image Editing with Autoregressive Diffusion
Houyuan Chen, Fanzhou Wang, Xiangyu Fan +10
cs.CVarXiv:2610.25404v22026
REVE: Efficient Hallucination Correction for Large Audio-Language Models via Reused Encoder States
Hongjin Song, Jiasheng Kuang, Xinyu Yang +4
cs.SDcs.AIarXiv:2609.26028v12026
Can the Elephants Handle the NoSQL Onslaught?
Avrilia Floratou, Nikhil Teletia, David J. Dewitt +2
cs.DBarXiv:1208.4166v12012
Estimating Unknown Sparsity in Compressed Sensing
Miles E. Lopes
cs.ITmath.ITmath.STarXiv:1204.4227v22012
Evaluating the Effectiveness of SechKAN on 1D Data
Hoang-Thang Ta
cs.LGcs.AIarXiv:2609.25876v12026
On the security and privacy of LLMs in Mobility
Mauro Conti, Lorenzo Perinello, Umberto Salviati
cs.CRcs.AIarXiv:2609.26295v12026
Interweaving Marginals into Multivariate Sample Paths: Training-Free Dependence Construction for Probabilistic Time Series Foundation Models
Jinmyeong Choi, Jinkwan Jang, Seul Lee +1
cs.LGcs.AIarXiv:2609.25980v12026
The simple essence of automatic differentiation
Conal Elliott
cs.PLarXiv:1804.00746v42018
End-To-End Visual Speech Recognition With LSTMs
Stavros Petridis, Zuwei Li, Maja Pantic
cs.CVcs.CLarXiv:1701.05847v12017
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco
Pascal Kerschke
stat.MLarXiv:1708.05258v12017
Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers
Athanasios P. Liavas, Nicholas D. Sidiropoulos
math.NAcs.DCcs.ITarXiv:1409.2383v22014
Power Efficient Resource Allocation for Full-Duplex Radio Distributed Antenna Networks
Derrick Wing Kwan Ng, Yongpeng Wu, Robert Schober
cs.ITmath.ITarXiv:1502.02134v12015
CoEvo-RSI: When Harnesses Evolve, Which Models Should Follow?
Jiaqi Su, Guibin Zhang, Jie-Jing Shao +5
cs.LGcs.CLarXiv:2610.25078v12026
Slot-JEPA: Object-Structured Prediction Interfaces for Latent World Models
Peisong Wen, Qianqian Xu, Minye Lei +3
cs.AIcs.CVarXiv:2610.28074v12026
Self-Credit: Credit Assignment for Long-Horizon Agentic RL via Intra-group Rescaling
Fangcong Yin, Ming Yin, Tanvi Bhandarkar +7
cs.LGarXiv:2610.28388v12026
Beyond Class Marginals: Bounding Rehearsal Gaps without Freezing Class Co-occurrence
Congren Dai, Nat Roongjirarat, Fei Ye
cs.LGcs.AIstat.MLarXiv:2609.25735v12026
Teaching Reinforcement Learning and Humanoid Robotics to High-School Students: An Expert-Validated Curriculum Design on a Low-Cost Open Platform
Yuanzhe Dong, Jie Cao, Shuman Wang
cs.ROcs.AIarXiv:2609.25674v12026
Exponential decay of reconstruction error from binary measurements of sparse signals
Richard Baraniuk, Simon Foucart, Deanna Needell +2
cs.ITmath.ITmath.STarXiv:1407.8246v12014
FrontierCS 2: A Benchmark for Computer Science R&D
Qiuyang Mang, Wenhao Chai, Runyuan He +58
cs.LGarXiv:2610.29932v12026
A JEPA Recipe for Tabular Foundation Models
Mingyu Jeon, Suwan Cho, Jae Young Suh
cs.LGcs.AIarXiv:2609.25541v12026
Stationarity Constraints Improve Both Energies and Densities of Machine-Learned Exchange-Correlation Functionals
Yuhao Chen, Donald G. Truhlar, Xiao He
physics.chem-phcs.AIarXiv:2610.30022v12026
The Delegation Blind Spot: Auditing Product Decisions from Agent Choices
Shivam Gupta
cs.AIcs.LGarXiv:2609.26642v12026
EMGBlend: Heterogeneity-Aware Self-Supervised Pretraining for Gesture and Force Decoding
Yuwei Jia, Cheng Zhong, Jinyang Yu +1
cs.LGcs.AIarXiv:2609.25582v12026
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
José Ignacio Orlando, João Barbosa Breda, Karel van Keer +3
cs.CVarXiv:1805.10273v42018
RoboValue: A Fine-Grained Sim-and-Real Benchmark for Unified Evaluation of Robotic Value Models
Shengbang Liu, Zhengye Du, Zhilong Wan +16
cs.ROarXiv:2610.26663v12026
HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation
Tianwei Luo, Yiming He, Hongjin Wu +14
cs.ROarXiv:2610.26765v12026
EADC: Evaluation of Advanced and Deep-level Compliance in Large Language Models
Yan Zhang, Ruien Li, Yaoyao Peng +4
cs.AIarXiv:2609.26175v12026
Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts
Vansh Wahi
cs.AIarXiv:2609.25848v12026
Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems
Man Chu, Hang Li, Xuewen Liao +1
eess.SPcs.ITmath.ITarXiv:1805.05929v22018
When Are Aggregate Agent Traces Diagnosable? Traffic-Governed Interpretation and Calibrated Abstention
Peiying Zhu, Sidi Chang
cs.AIarXiv:2609.25806v12026
LingLan: An Advancing Traditional Chinese Medicine Diagnosis LLM with Multimodal Data
Zheng Chen, Zhicheng Du, Haoxuan Li +2
cs.AIarXiv:2609.25715v12026
Seeing Is Not Perceiving: When Synthetic Consumers Can and Cannot Pretest Visual Marketing
Yi-Lin Tsai, Yung-Hsiu, Lai
cs.AIcs.CYecon.GNarXiv:2609.25677v12026
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
Sicheng Zhao, Bo Li, Colorado Reed +2
cs.LGcs.CVstat.MLarXiv:2002.12169v12020
AdaExploreBench: Benchmarking LLM Agents for Proactive Exploration and Test-time Adaptation in Evolving Environments
Rui Wang, Zishen Lai, Jiayu Liu +15
cs.CLcs.AIarXiv:2610.25950v12026
RoAR-VAE: Improving Latent Diffusability through Robust Prediction
Yang Yue, Fangyun Wei, Yitong Wang +4
cs.CVarXiv:2610.26216v12026
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
cs.CVarXiv:1711.08760v12017
Interpreting and Stabilizing Machine-learning Parametrizations of Convection
Noah D. Brenowitz, Tom Beucler, Michael Pritchard +1
physics.ao-pharXiv:2003.06549v12020
From RL Papers to Framework Code: Inclusion and Review in Seven Open-Source Training Frameworks
Taiheng Pan
cs.LGcs.CLcs.SEarXiv:2610.28027v12026

Every paper with a summary

When Learned Context Planning Fails to Beat Strong Retrieval: A Controlled Study of Planning, Routing, and Reranking for Long-Context QA

Consequences of Misaligned AI

Classifying Interpretive Canons at the Sentence Level: A Benchmark from the German Federal Constitutional Court

OverSeer: Multi-Agent World Models Beyond What Agents See

Intel TDX Demystified: A Top-Down Approach

SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation

PVBench: Quantifying Physical Plausibility in Video Generation with Object-Level Physical Measurements

Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen

ACE-Brain-0.6: Scaling Spatial Grounding for Physical Foundation Models

Beyond Small Talk: Modeling Disclosure Trajectories in Human-AI Conversation

Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives

FairMean: Promoting Fairness in Distributed Learning under Label Poisoning Attacks

Recognized but Not Produced: A Generation Benchmark for Culturally Specific Kinship Terms

Theseus: A Library for Differentiable Nonlinear Optimization

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation

FineSplat: Fine Patches, Local Groups, Detailed Splats

VLA-Rolling: Fewer Denoising Steps, Better Control via Adaptive Action Reuse

CoworkEnv: Synthesizing Training Environments for Long-Horizon Cowork Agents

Geometry-Aware Hyperbolic Residual-Quantized Variational Autoencoders

ContextCite: Attributing Model Generation to Context

MT Forcing: Towards Stable and Consistent Multi-Turn Image Editing with Autoregressive Diffusion

REVE: Efficient Hallucination Correction for Large Audio-Language Models via Reused Encoder States

Can the Elephants Handle the NoSQL Onslaught?

Estimating Unknown Sparsity in Compressed Sensing

Evaluating the Effectiveness of SechKAN on 1D Data

On the security and privacy of LLMs in Mobility

Interweaving Marginals into Multivariate Sample Paths: Training-Free Dependence Construction for Probabilistic Time Series Foundation Models

The simple essence of automatic differentiation

End-To-End Visual Speech Recognition With LSTMs

Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers

Power Efficient Resource Allocation for Full-Duplex Radio Distributed Antenna Networks

CoEvo-RSI: When Harnesses Evolve, Which Models Should Follow?

Slot-JEPA: Object-Structured Prediction Interfaces for Latent World Models

Self-Credit: Credit Assignment for Long-Horizon Agentic RL via Intra-group Rescaling

Beyond Class Marginals: Bounding Rehearsal Gaps without Freezing Class Co-occurrence

Teaching Reinforcement Learning and Humanoid Robotics to High-School Students: An Expert-Validated Curriculum Design on a Low-Cost Open Platform

Exponential decay of reconstruction error from binary measurements of sparse signals

FrontierCS 2: A Benchmark for Computer Science R&D

A JEPA Recipe for Tabular Foundation Models

Stationarity Constraints Improve Both Energies and Densities of Machine-Learned Exchange-Correlation Functionals

The Delegation Blind Spot: Auditing Product Decisions from Agent Choices

EMGBlend: Heterogeneity-Aware Self-Supervised Pretraining for Gesture and Force Decoding

Towards a glaucoma risk index based on simulated hemodynamics from fundus images

RoboValue: A Fine-Grained Sim-and-Real Benchmark for Unified Evaluation of Robotic Value Models

HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation

EADC: Evaluation of Advanced and Deep-level Compliance in Large Language Models

Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts

Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems

When Are Aggregate Agent Traces Diagnosable? Traffic-Governed Interpretation and Calibrated Abstention

LingLan: An Advancing Traditional Chinese Medicine Diagnosis LLM with Multimodal Data

Seeing Is Not Perceiving: When Synthetic Consumers Can and Cannot Pretest Visual Marketing

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

AdaExploreBench: Benchmarking LLM Agents for Proactive Exploration and Test-time Adaptation in Evolving Environments

RoAR-VAE: Improving Latent Diffusability through Robust Prediction

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs

Interpreting and Stabilizing Machine-learning Parametrizations of Convection

From RL Papers to Framework Code: Inclusion and Review in Seven Open-Source Training Frameworks