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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14,821 to 14,880 of 116,076

Comparing Linear Probes with Mahalanobis Cosine Similarity
Zhuofan Josh Ying, Peter Hase, Nikolaus Kriegeskorte
cs.LGarXiv:2606.19603v12026
Provable Non-Acceleration of Standard Strang Splittings of Kinetic Langevin Dynamics
Nawaf Bou-Rabee
math.PRmath.NAstat.COarXiv:2608.25279v12026
Training-Free Task Vectors for LLM Behavioral Control
Gabriel J. Perin, Lucas Boscaini, André Araujo +1
cs.LGcs.AIarXiv:2609.09054v12026
When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting
Vedant Palit, Florent Draye, Nicolas Zucchet +2
cs.CLcs.LGarXiv:2610.08718v12026
Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control
Abhinav Narasingam, Joseph Sang-Il Kwon
eess.SYcs.SYarXiv:2005.09741v22020
Data-Driven Model Predictive Control using Interpolated Koopman Generators
Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley
math.OCmath.DSarXiv:2003.07094v12020
Much Ado About Noising: Dispelling the Myths of Generative Robotic Control
Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang +8
cs.ROcs.LGarXiv:2512.01809v32025
Koopman based data-driven predictive control
Yingzhao Lian, Renzi Wang, Colin N. Jones
eess.SYcs.SYmath.OCarXiv:2102.05122v22021
Width-Independent Compressibility of Deep Neural Networks
Hong-Yi Wang, Mingze Wang, Liu Ziyin
cs.LGcond-mat.dis-nncs.ITarXiv:2608.21752v12026
Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels
Yi Yuan, Cheng-Xiang Wang, Xiang Cheng +2
eess.SParXiv:2312.00550v12023
On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing
Yuval Koren, Assaf Ben-Kish, Raja Giryes +2
cs.LGcs.CLarXiv:2609.07681v12026
Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning
Chen Henry Wu, Thomas Zhang, Aditi Raghunathan
cs.LGcs.AIcs.CLarXiv:2610.05872v12026
Generalised Transportability via Causal Abstractions
Yorgos Felekis, Paris Giampouras, Fabio Massimo Zennaro +1
cs.LGarXiv:2608.15645v12026
Elucidating the SNR-t Bias of Diffusion Probabilistic Models
Meng Yu, Lei Sun, Jianhao Zeng +2
cs.CVarXiv:2604.16044v12026
RD-JEPA: Predictive latent pretraining for few-trajectory transfer across reaction--diffusion equations
Chenhao Si, Ming Yan
cs.AIcs.LGarXiv:2609.29403v12026
Confidence-Gated Cloud-Edge Cascade Triage via Variational Risk Minimization for Medical Imaging
Xinye Yang, Zhusi Zhong, Scott Collins +7
eess.IVcs.CVcs.LGarXiv:2610.02269v12026
Benchmarking a trapped-ion quantum computer with 30 qubits
Jwo-Sy Chen, Erik Nielsen, Matthew Ebert +8
quant-pharXiv:2308.05071v22023
Loading history and window geometry bound compact-state slip ranking during granular shear startup
Ruixin Zhou, Boliang Yu
cond-mat.softcond-mat.stat-mechcs.LGarXiv:2610.00124v12026
CleanStyle: Plug-and-Play Style Conditioning Purification for Text-to-Image Stylization
Xiaoman Feng, Mingkun Lei, Yang Wang +2
cs.CVarXiv:2602.20721v12026
Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling
Zeyang Li, Yunan Wang, Paolo Giaretta +1
cs.LGcs.AIcs.SYarXiv:2609.05727v12026
Massive MIMO ISAC Under Target-Angle Uncertainty: CRLB Outage Analysis and Robust Resource Allocation
Smriti Uniyal, Tianyu Fang, Van-Dinh Nguyen +3
eess.SParXiv:2609.18467v12026
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Alexandre Ramé, Guillaume Couairon, Mustafa Shukor +4
cs.LGcs.AIcs.CVarXiv:2306.04488v22023
Computing Diffusion Geometry
Iolo Jones, David Lanners
math.DGcs.CGmath.ATarXiv:2602.06006v12026
GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity
Yong Yi Bay, Kathleen A. Yearick
cs.LGcs.AIcs.CLarXiv:2607.00152v12026
Training and Inference Dynamics of PLDR-LLMs: Row-Map Collapse, Renormalization, and Predictive Reduction
Burc Gokden
cs.LGcs.CLarXiv:2609.34130v12026
The Hamilton-Jacobi Theory of Deep Learning
Jose Marie Antonio Miñoza, Erika Fille T. Legara, Christopher P. Monterola
cs.LGcs.AImath.DSarXiv:2605.28983v22026
Implicit Diffusion Models for Continuous Super-Resolution
Sicheng Gao, Xuhui Liu, Bohan Zeng +6
cs.CVarXiv:2303.16491v22023
Finite-Time Node Separation in Recurrent Graph Neural Networks with Persistent Gaussian Perturbations
Mostafa Haghir Chehreghani
cs.LGcs.AIarXiv:2609.13920v12026
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns, Haotian Ye, Dan Klein +1
cs.CLcs.AIcs.LGarXiv:2212.03827v22022
Local Robustness Quantification for Naive Bayes Classifiers and Generative Forests: a General Approach
Adrián Detavernier, Jasper De Bock
cs.LGarXiv:2609.11366v12026
A Statistical Approach to Estimating Sample Size of Machine Learning Models
Dat Phan-Trong, Sunil Gupta, Svetha Venkatesh
cs.LGcs.AIarXiv:2609.09547v12026
RobustLDS: Learning linear dynamical systems under adversarial corruptions
Aravinda Kanchana Ruwanpathirana, Hemant Tyagi
stat.MLcs.LGcs.SYarXiv:2610.11906v12026
Structured Credal Learning
Varun Venkatesh, Eyke Hüllermeier, Bernd Bischl +1
stat.MEstat.MLarXiv:2603.14070v12026
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions
Bruno Clerckx, Yijie Mao, Eduard A. Jorswieck +4
cs.ITarXiv:2209.00491v22022
LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs
Xiaobing Yu, Peijie Qiu, Jin Yang +5
cs.CLcs.CVcs.LGarXiv:2610.11160v12026
Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials
Josué García-Ávila, Beijun Shen, Manuel K. Rausch +2
cs.AIcond-mat.mtrl-scicond-mat.softarXiv:2609.04541v22026
SignDino: Self-Supervised Sign Language Representation Learning via Temporal-Axis Self-Distillation
Junyi Hu, Zhewen He, Haomian Huang +3
cs.CVcs.CLarXiv:2609.06296v12026
Summaries:한국어
Time Without Timesteps: Simulating Coupled Dynamical Systems via Self-Consistency
Liyu Zerihun, Mark Shinyoung Lee
cs.LGarXiv:2609.03358v12026
Finite-Precision Gram-Schmidt Walks
Emile Anand, Jan van den Brand, Peter Chen
cs.DSarXiv:2610.08562v12026
Geometric analysis of generic 3R robots, and necessary and sufficient conditions for a class of orthogonal robots to have four IKS
Durgesh Haribhau Salunkhe, Abhilash Nayak
cs.ROarXiv:2609.00316v12026
Tabular Foundation Models Can Do Survival Analysis
Da In Kim, Wei Siang Lai, Kelly W. Zhang
cs.LGarXiv:2601.22259v22026
Taylor Representations for Model-Free RL in Networked MDPs
Salah Chikhi, Abdelhaq Chaoui, Asuman Ozdaglar +1
stat.MLcs.LGmath.OCarXiv:2610.05456v12026
A Systematic Approach to Mechanism Design with Stochastic Dynamic Stability
Shaya Garjani, Mohammad Shokri, Hamed Kebriaei
eess.SYmath.OCarXiv:2608.29130v12026
Cycle Counting and Character Expectations Using Alternating Structures
Noam Ta Shma
math.GRcs.FLarXiv:2608.27593v12026
Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme
Xidong Mu, Yuanwei Liu, Li Guo +1
cs.ITeess.SParXiv:2205.02620v22022
HFS: Holistic Query-Aware Frame Selection for Efficient Video Understanding
Yiqing Yang, Yun Li, Daiqing Qi +5
cs.CVcs.CLcs.MMarXiv:2512.11534v32025
The Erdős-Pósa Property for Colorful Minors
Evangelos Protopapas, Dimitrios M. Thilikos, Sebastian Wiederrecht
math.COcs.DMarXiv:2609.04956v12026
What FID Hides: Detecting, Ranking, and Diagnosing Deviations in Generative Evaluation
Hao Chen
stat.MLcs.LGarXiv:2608.24881v12026
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
Wenhao Zhan, Baihe Huang, Audrey Huang +2
cs.LGstat.MLarXiv:2202.04634v32022
Generalized Engression Models
Xinwei Shen, Zijian Guo, Francis Bach
stat.MEcs.LGstat.MLarXiv:2610.01823v12026
Robustness and resilience of complex networks
Oriol Artime, Marco Grassia, Manlio De Domenico +5
physics.soc-phcond-mat.stat-mecharXiv:2509.19867v12025
AI Learning and Conceptual Transfer in the Game of Hidden Rules
Christo Mathew, Wentian Wang, Jacob Feldman +4
cs.AIcs.LGarXiv:2608.21372v12026
Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning
Pablo Torrijos, José A. Gámez, José M. Puerta +1
cs.NEcs.LGarXiv:2609.03724v12026
Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer
Stasja Stanisic, Jan Lukas Bosse, Filippo Maria Gambetta +5
quant-phcond-mat.mtrl-scicond-mat.str-elarXiv:2112.02025v12021
How Much Training is Needed with a Digital Twin?
Ahmad Bazzi, Marwa Chafii
eess.SPeess.SYarXiv:2609.01220v12026
ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction
Yongqi Tong, Tan Li Hui Faith, Choy Zhen Wen Marcus +5
cs.AIcs.CLarXiv:2608.13622v12026
Inference Auctions
Keegan Harris, Siddharth Prasad, Asher Trockman +2
cs.LGcs.AIcs.GTarXiv:2609.40070v12026
Social physics
Marko Jusup, Petter Holme, Kiyoshi Kanazawa +12
physics.soc-phcs.SInlin.AOarXiv:2110.01866v22021
VisionHOPE: Visual Backbones as Self-Modifying Learning Systems
Siran Peng, Tianshuo Zhang, Tianyu Fu +8
cs.CVarXiv:2609.33325v12026
Wasserstein-Barycentric Interaction Fields for Spatial Factor Models: Evidence from Language-Model Representations
Marcus Gawronsky, Chun-Sung Huang
q-fin.STarXiv:2608.29669v12026

Every paper with a summary

Comparing Linear Probes with Mahalanobis Cosine Similarity

Provable Non-Acceleration of Standard Strang Splittings of Kinetic Langevin Dynamics

Training-Free Task Vectors for LLM Behavioral Control

When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting

Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control

Data-Driven Model Predictive Control using Interpolated Koopman Generators

Much Ado About Noising: Dispelling the Myths of Generative Robotic Control

Koopman based data-driven predictive control

Width-Independent Compressibility of Deep Neural Networks

Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels

On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing

Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning

Generalised Transportability via Causal Abstractions

Elucidating the SNR-t Bias of Diffusion Probabilistic Models

RD-JEPA: Predictive latent pretraining for few-trajectory transfer across reaction--diffusion equations

Confidence-Gated Cloud-Edge Cascade Triage via Variational Risk Minimization for Medical Imaging

Benchmarking a trapped-ion quantum computer with 30 qubits

Loading history and window geometry bound compact-state slip ranking during granular shear startup

CleanStyle: Plug-and-Play Style Conditioning Purification for Text-to-Image Stylization

Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling

Massive MIMO ISAC Under Target-Angle Uncertainty: CRLB Outage Analysis and Robust Resource Allocation

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards

Computing Diffusion Geometry

GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity

Training and Inference Dynamics of PLDR-LLMs: Row-Map Collapse, Renormalization, and Predictive Reduction

The Hamilton-Jacobi Theory of Deep Learning

Implicit Diffusion Models for Continuous Super-Resolution

Finite-Time Node Separation in Recurrent Graph Neural Networks with Persistent Gaussian Perturbations

Discovering Latent Knowledge in Language Models Without Supervision

Local Robustness Quantification for Naive Bayes Classifiers and Generative Forests: a General Approach

A Statistical Approach to Estimating Sample Size of Machine Learning Models

RobustLDS: Learning linear dynamical systems under adversarial corruptions

Structured Credal Learning

A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions

LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs

Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials

SignDino: Self-Supervised Sign Language Representation Learning via Temporal-Axis Self-Distillation

Time Without Timesteps: Simulating Coupled Dynamical Systems via Self-Consistency

Finite-Precision Gram-Schmidt Walks

Geometric analysis of generic 3R robots, and necessary and sufficient conditions for a class of orthogonal robots to have four IKS

Tabular Foundation Models Can Do Survival Analysis

Taylor Representations for Model-Free RL in Networked MDPs

A Systematic Approach to Mechanism Design with Stochastic Dynamic Stability

Cycle Counting and Character Expectations Using Alternating Structures

Heterogeneous Semantic and Bit Communications: A Semi-NOMA Scheme

HFS: Holistic Query-Aware Frame Selection for Efficient Video Understanding

The Erdős-Pósa Property for Colorful Minors

What FID Hides: Detecting, Ranking, and Diagnosing Deviations in Generative Evaluation

Offline Reinforcement Learning with Realizability and Single-policy Concentrability

Generalized Engression Models

Robustness and resilience of complex networks

AI Learning and Conceptual Transfer in the Game of Hidden Rules

Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning

Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer

How Much Training is Needed with a Digital Twin?

ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction

Inference Auctions

Social physics

VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

Wasserstein-Barycentric Interaction Fields for Spatial Factor Models: Evidence from Language-Model Representations