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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23,161 to 23,220 of 61,271

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
Bayesian Robust Tensor Factorization for Incomplete Multiway Data
Qibin Zhao, Guoxu Zhou, Liqing Zhang +2
cs.CVcs.LGarXiv:1410.2386v22014
Layers Matter: Why Continual Learning Regularization Should Be Layer-Adaptive
Brian B. Moser, Ahmed Anwar, Tobias Christian Nauen +5
cs.LGcs.AIarXiv:2608.15901v12026
EMS Coreset: An Efficient Expectation-Maximization Algorithm for Sinkhorn Coreset
Haoyun Yin, Chuanhui Liu, Xiao Wang
stat.MLcs.LGarXiv:2608.16101v12026
GOD: Enhancing Generalization via Deep Grafting for Sequential Recommendation
WooJoo Kim, JunYoung Kim, JaeHyung Lim +1
cs.IRcs.LGarXiv:2608.16073v12026
Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)
Antoine Gauquier, Ioana Manolescu, Pierre Senellart
cs.IRcs.DBcs.LGarXiv:2608.16050v12026
Strong Duality for a Multiple-Good Monopolist
Constantinos Daskalakis, Alan Deckelbaum, Christos Tzamos
cs.GTarXiv:1409.4150v32014
Generalised Transportability via Causal Abstractions
Yorgos Felekis, Paris Giampouras, Fabio Massimo Zennaro +1
cs.LGarXiv:2608.15645v12026
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
Maintaining IoT Device Identification under Concept Drift via Budget-Aware Traffic Labeling
Shayan Azizi, Norihiro Okui, Masataka Nakahara +3
cs.NIcs.CRcs.LGarXiv:2608.15465v12026
Temporal Graph Prototype-conditioned Conformal Prediction for Fraud Detection
Xudong Chen, Shengbo Gong, Lu Cheng +1
cs.LGcs.AIarXiv:2608.15768v12026
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
Label Distribution Learning
Xin Geng
cs.LGarXiv:1408.6027v22014
Spectral Saliency for Machine Unlearning
Cedar Site Bai, Amber Yijia Zheng, Raymond A. Yeh +1
cs.LGcs.AIarXiv:2608.15548v12026
FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA
Juseok Jeon, Ramy E. Ali, Doyun Kwon +3
cs.AIcs.LGarXiv:2608.15381v12026
Towards a theory of inference-time alignment with unknown rewards
Steve Hanneke, Hongao Wang, Mingyue Xu
cs.LGarXiv:2608.15402v12026
When Do Concepts Become Functionally Sufficient During Language-Model Training?
Raphael Bernas, Paul G. Chevalier, Fanny Jourdan +1
cs.CLarXiv:2608.15323v12026
Global Federated Learning Strategies for Building Efficient Personalized Models
Seongyoon Kim
cs.LGarXiv:2608.15107v12026
Logical Embeddings for Argument Analysis
Leander Heldring, Santiago Torres
cs.CLcs.AIarXiv:2608.15325v12026
VGGT-Align: Bridging Local Reconstruction and Global Consistency for Long-Sequence 3D Reconstruction
Wei Zhang, Yihang Wu, Songhua Li +1
cs.CVcs.AIarXiv:2608.15260v12026

Every paper with a summary

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

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Layers Matter: Why Continual Learning Regularization Should Be Layer-Adaptive

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

GOD: Enhancing Generalization via Deep Grafting for Sequential Recommendation

Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)

Strong Duality for a Multiple-Good Monopolist

Generalised Transportability via Causal Abstractions

Generalized Linear Bandits with Memory

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

Maintaining IoT Device Identification under Concept Drift via Budget-Aware Traffic Labeling

Temporal Graph Prototype-conditioned Conformal Prediction for Fraud Detection

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)

Label Distribution Learning

Spectral Saliency for Machine Unlearning

FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA

Towards a theory of inference-time alignment with unknown rewards

When Do Concepts Become Functionally Sufficient During Language-Model Training?

Global Federated Learning Strategies for Building Efficient Personalized Models

Logical Embeddings for Argument Analysis

VGGT-Align: Bridging Local Reconstruction and Global Consistency for Long-Sequence 3D Reconstruction