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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78,121 to 78,180 of 89,305

The Price of Decentralization in Top-$K$ Arm Identification
Larissa Xu, Jasmine Nguyen, William Chang
cs.LGarXiv:2608.22120v12026
FIRM-Video: Check Before You Score for Reliable Text-to-Video Reward Modeling
Peiyuan Zhang, Xiangyu Zhao, Hongbo Liu +8
cs.CVarXiv:2608.21839v12026
Gated Decoupled Compositional Bandits: A Unified Theory of Contextual Bandits with Supervised-Calibrated Action Scaling and Pre-Execution Gating
Oleg Miroshnichenko
cs.LGarXiv:2608.21993v12026
Magnitude Homology Is the Associated Graded of the Length Filtration
Luciano Melodia
math.ATcs.CGcs.LGarXiv:2608.21479v12026
WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving
Xinlin Wang, Yujiao Xiang, Yuheng Zhou +11
cs.CVcs.AIarXiv:2608.20974v12026
Nothing Changed but the Model: CellFill -- Bounded In-Cell Learning for Bit-Identical, Revocable Updates to Quantized LLMs
Zifeng Liu, Zhiyong Du, Yaxin Lu +4
cs.LGarXiv:2608.20873v12026
Big Data Privacy in the Internet of Things Era
Charith Perera, Rajiv Ranjan, Lizhe Wang +2
cs.CYcs.DBcs.NIarXiv:1412.8339v22014
Certified Multi-Turn Robustness for LLM Safety via Compositional Bounds and Safety Persistence
Yang Liu, Bin Chong, Wenkai Yang +9
cs.AIarXiv:2608.20820v12026
System Architecture and Key Technologies for 5G Heterogeneous Cloud Radio Access Networks
Mugen Peng, Yong Li, Zhongyuan Zhao +1
cs.ITcs.NIarXiv:1412.6677v12014
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
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
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
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
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
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
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
Benchmarking Automated Security Patch Backporting: How Far Are We?
Jincheng Yang, Yulong Fu, Chengwei Liu +5
cs.SEcs.AIcs.CRarXiv:2608.17671v12026
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
Depth Enables Local Entropy: Quadratic Depth Dependence in Deep Variation-Norm ReLU Regression
Tao Jiang, Minbo Gao, Shaowei Cai
cs.AIarXiv:2608.17434v12026
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
TRACE-Bench: Decomposing and Diagnosing Multi-Reference Image Generation
Haoran Wang, Chaofan Ma, Ran Yi +1
cs.CVcs.AIarXiv:2608.16765v12026
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
The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach
Rafael Pass
cs.AIcs.CCcs.ITarXiv:2608.16438v12026
Information Geometry of Message Passing
Mykola Lukashchuk, Kyrylo Yemets, Alex Ledbetter +1
cs.LGcs.AIarXiv:2608.15922v12026
EMS Coreset: An Efficient Expectation-Maximization Algorithm for Sinkhorn Coreset
Haoyun Yin, Chuanhui Liu, Xiao Wang
stat.MLcs.LGarXiv:2608.16101v12026
Generalized Linear Bandits with Memory
Heesang Ann, Hyunjun Choi, Taehyun Hwang +3
stat.MLcs.LGarXiv:2608.15848v12026
Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search
Zhongwei Yu, Yan Song, Xue Yan +9
cs.LGarXiv:2608.15669v12026
Second-Moment Memory in Coordinatewise Adam
Jeonseong Kim
cs.LGarXiv:2608.15824v12026
On Stopping Rules and Spatial Adaptation for CART
Zineng Xu, Yuchao Cai, Yan Shuo Tan
stat.MLcs.LGmath.STarXiv:2608.15649v12026
NFV: State of the Art, Challenges and Implementation in Next Generation Mobile Networks (vEPC)
Hassan Hawilo, Abdallah Shami, Maysam Mirahmadi +1
cs.NIarXiv:1409.4149v12014
Spectral Saliency for Machine Unlearning
Cedar Site Bai, Amber Yijia Zheng, Raymond A. Yeh +1
cs.LGcs.AIarXiv:2608.15548v12026
Towards a theory of inference-time alignment with unknown rewards
Steve Hanneke, Hongao Wang, Mingyue Xu
cs.LGarXiv:2608.15402v12026
Logical Embeddings for Argument Analysis
Leander Heldring, Santiago Torres
cs.CLcs.AIarXiv:2608.15325v12026
Boosting Data Augmentation with Stochastic Weight Averaging
Longde Huang, Axel Flinth, Jan E. Gerken
cs.LGarXiv:2608.14373v12026
Online Convex Optimization with Dueling Feedback
Yiyang Lu, Hareshkumar Jadav, Mohammad Pedramfar +2
cs.LGarXiv:2608.15050v12026
From Positionwise Confidence to Prefix Scheduling: Verifier Skipping in Speculative Decoding
Haoxuan Luo, Jameson Sandler, Ferdinando Fioretto
cs.CRcs.CLarXiv:2608.14787v12026
SLOPE - Adaptive variable selection via convex optimization
Małgorzata Bogdan, Ewout van den Berg, Chiara Sabatti +2
stat.MEarXiv:1407.3824v22014
When Does the Best Sampling Temperature Rise with the Budget? Sufficient Conditions for Pass@k
Changsu Jeong
cs.LGarXiv:2608.14665v12026
Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivarianc
Dongzhe Zheng, Christine Allen-Blanchette
cs.LGarXiv:2608.14556v12026
From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Framework
Wen-Fan Wang, TsaiHsuan Lin, Chi-Lan Yang +2
cs.HCcs.AIarXiv:2608.14405v12026
Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View
Yixian Xu, Yuanrui Zhang, Shengjie Luo +2
cs.LGcs.CVstat.MLarXiv:2608.14430v12026
Wireless Networks with RF Energy Harvesting: A Contemporary Survey
Xiao Lu, Ping Wang, Dusit Niyato +2
cs.NIcs.ITarXiv:1406.6470v62014
DC approximation approaches for sparse optimization
Hoai An Le Thi, Tao Pham Dinh, Hoai Minh Le +1
math.NAcs.LGstat.MLarXiv:1407.0286v22014
Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale
Nisha Sarwar, Lei Jiang, Fan Chen
cs.DCcs.AIarXiv:2608.14557v12026
Classical Limits of Spectral Filtering in Quantum Generative Models
Marco Roth
quant-phcs.LGarXiv:2608.14169v12026
What preferences can - and cannot - predict in multi-agent online learning
Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos
cs.GTcs.LGarXiv:2608.13810v12026
Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning
Xuehang Guo, Pengyuan Li, Tom Hope +3
cs.LGcs.AIcs.CLarXiv:2608.04926v12026
Continual Evolution Strategies in Control Tasks
Nicola Pitzalis, Eleni Nisioti, Antonio Carta +2
cs.NEcs.LGarXiv:2608.13600v12026
Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop
Igor Itkin
cs.AIcond-mat.stat-mechcs.CLarXiv:2608.11215v12026

Every paper with a summary

The Price of Decentralization in Top-$K$ Arm Identification

FIRM-Video: Check Before You Score for Reliable Text-to-Video Reward Modeling

Gated Decoupled Compositional Bandits: A Unified Theory of Contextual Bandits with Supervised-Calibrated Action Scaling and Pre-Execution Gating

Magnitude Homology Is the Associated Graded of the Length Filtration

WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving

Nothing Changed but the Model: CellFill -- Bounded In-Cell Learning for Bit-Identical, Revocable Updates to Quantized LLMs

Big Data Privacy in the Internet of Things Era

Certified Multi-Turn Robustness for LLM Safety via Compositional Bounds and Safety Persistence

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

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

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

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

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming

Persistent homology analysis of protein structure, flexibility and folding

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

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

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

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

Evaluating the Diversity of AI-Generated Content with Diversity Profiles

Benchmarking Automated Security Patch Backporting: How Far Are We?

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

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

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

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

UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures

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

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

Information Geometry of Message Passing

EMS Coreset: An Efficient Expectation-Maximization Algorithm for Sinkhorn Coreset

Generalized Linear Bandits with Memory

Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search

Second-Moment Memory in Coordinatewise Adam

On Stopping Rules and Spatial Adaptation for CART

NFV: State of the Art, Challenges and Implementation in Next Generation Mobile Networks (vEPC)

Spectral Saliency for Machine Unlearning

Towards a theory of inference-time alignment with unknown rewards

Logical Embeddings for Argument Analysis

Boosting Data Augmentation with Stochastic Weight Averaging

Online Convex Optimization with Dueling Feedback

From Positionwise Confidence to Prefix Scheduling: Verifier Skipping in Speculative Decoding

SLOPE - Adaptive variable selection via convex optimization

When Does the Best Sampling Temperature Rise with the Budget? Sufficient Conditions for Pass@k

Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivarianc

From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Framework

Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View

Wireless Networks with RF Energy Harvesting: A Contemporary Survey

DC approximation approaches for sparse optimization

Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale

Classical Limits of Spectral Filtering in Quantum Generative Models

What preferences can - and cannot - predict in multi-agent online learning

Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning

Continual Evolution Strategies in Control Tasks

Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop