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AI & Data Science Preprint PDF DOI

Synthetic Computers at Scale for Long-Horizon Productivity Simulation

Tao Ge, Baolin Peng, Hao Cheng, Jianfeng Gao · 2026

Realistic long-horizon productivity work is strongly conditioned on user-specific computer environments, where much of the work context is stored and organized through directory structures and content…

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Physics Preprint PDF DOI

Determination of turbulent heating rate and relaxed states in finite Larmor radius magnetohydrodynamic turbulence with helicity barrier

Ramesh Sasmal, Supratik Banerjee · 2026

Finite Larmor radius magnetohydrodynamics (FLR-MHD) provides a hybrid model of plasma that explains how turbulent energy cascade extends to sufficiently small parallel length scales, potentially leadi…

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Physics Preprint PDF DOI

Multi-scale calculation of light-induced structural changes in low-angle twisted bilayer WSe$_2$

Rafael R. Del Grande, David A. Strubbe · 2026

Exciton-phonon interactions in transition metal dichalcogenides (TMD) are strong and lead to phenomena such as coherent phonon generation. When stacked and twisted, their properties can be tuned by th…

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AI & Data Science Preprint PDF DOI

Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI

Dorottya Demszky, Edith Bouton, Alison Twiner, Sara Hennessy, Richard Correnti · 2026

Research on classroom interaction has long been divided between large-scale observation and in-depth ethnographic work. We propose a framework mapping this methodological space along three dimensions-…

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Computer Science Preprint PDF DOI

The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale

Andrei Seoev, Dmitry Belousov, Anastasiia Smirnova, Ksenia Kurinova, Aleksei Smirnov, Denis Fedyanin, Yury Yanovich · 2026

Maximal Extractable Value (MEV) represents billions of dollars in extracted value that fundamentally shapes blockchain network dynamics and participant incentives. While research has focused on MEV ex…

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AI & Data Science Preprint PDF DOI

TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On

Dingbao Shao, Song Wu, Shenyi Wang, Ye Wang, Ziheng Tang, Fei Liu, Jiang Lin, Xinyu Chen, Qian Wang, Ying Tai, Jian Yang, Zili Yi · 2026

Due to the scarcity of large-scale in-the-wild triplet data and the improper use of masks, the performance of video virtual try-on models remains limited. In this paper, we first introduce **TripVVT-1…

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Sociology & Anthropology Preprint PDF DOI

Scale-freeness under node removal: a finite-size scaling perspective

Yeonsu Jeong, Deok-Sun Lee, Mi Jin Lee, Seung-Woo Son · 2026

In heterogeneous network systems such as ecological and social networks, structural stability depends on how connectivity changes under node removal, as different removal sequences can trigger distinc…

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Computer Science Preprint PDF DOI

Affinity Tailor: Dynamic Locality-Aware Scheduling at Scale

Jin Xin Ng, Ori Livneh, Richard O'Grady, Josh Don, Peng Ding, Samuel Grossman, Luis Otero, Chris Kennelly, David Lo, Carlos Villavieja · 2026

Modern large multicore systems often run multiple workloads that share CPUs under schedulers such as Linux CFS. To keep CPUs busy, these schedulers load-balance runnable work, causing each workload to…

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AI & Data Science Preprint PDF DOI

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

Logan G Wright, Tianyu Wang, Tatsuhiro Onodera, Peter L. McMahon · 2026

Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, question answering, su…

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Physics Preprint PDF DOI

Anisotropy of Satellite Galaxies-I: Contrasting Correlations with Central Galaxy, Host Halo, and Large-Scale Filament Structures

Zhuoming Zhang, Weiguang Cui, Yun Chen, Romeel Dave, Katarina Kraljic · 2026

Using the SIMBA, EAGLE, and IllustrisTNG-100 galaxy formation simulations, we examine the anisotropy of the satellite distribution and its dependencies on central galaxies, host halos, and cosmic fila…

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Physics Preprint PDF DOI

Some Properties and Uses of the Species Scale

Luis E. Ibanez · 2026

The 'Species Scale' has proved to be an important concept when studying consistent effective actions in Quantum Gravity. This is a short summary of my contribution to the Corfu Summer Institute in Sep…

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AI & Data Science Preprint PDF DOI

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

Gurucharan Srinivas, Joshua Niemeijer, Frank Koster · 2026

Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply post-processing module…

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AI & Data Science Preprint PDF DOI

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark

Shuo Wang, Jilin Mei, Wenfei Guan, Shuai Wang, Yan Xing, Chen Min, Yu Hu · 2026

Off-road nighttime autonomous driving suffers from unreliable visible-light perception, making infrared modality crucial for accurate freespace detection. However, progress remains limited due to the …

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Engineering Preprint PDF DOI

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Yang Zhou, Chaoyong Zhang, Ruoyi Hao, Huilin Pan, Yang Zhang, Hongliang Ren · 2026

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing procedural…

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AI & Data Science Preprint PDF DOI

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets

Jialu Liu, Yue Cui, Shan Yu · 2026

Accurate multiclass segmentation of the Circle of Willis (CoW) is essential for neurovascular disease management but remains challenging due to complex vascular topology and variable morphology. Exist…

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Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic · 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluati…

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Physics Preprint PDF DOI

Training of particle-turbulence sub-grid-scale closures with just particle data

G. Saltar Rivera, L. Villafane, J. B. Freund · 2026

If sufficient training data are available, neural networks are attractive for representing missing physics in simulations, such as sub-grid scales in the coarse-mesh particle-turbulence system we cons…

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AI & Data Science Preprint PDF DOI

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction

Yuxuan Huang, Yihang Chen, Zhiyuan He, Yuxiang Chen, Ka Yiu Lee, Huichi Zhou, Weilin Luo, Meng Fang, Jun Wang · 2026

Agentic web search increasingly faces two distinct demands: deep reasoning over a single target, and structured aggregation across many entities and heterogeneous sources. Current systems struggle on …

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Mathematics Preprint PDF DOI

A Scale-Shape Dual Newton Method for Entropic Least Squares

Nicholas Barnfield, James V. Burke, Michael P. Friedlander, Tim Hoheisel · 2026

We give a damped inexact Newton method for entropy-regularized least-squares on the nonnegative orthant that converges globally at a linear rate with $O(\log\epsilon^{-1})$ iteration complexity, local…

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AI & Data Science Preprint PDF DOI

Step-level Optimization for Efficient Computer-use Agents

Jinbiao Wei, Kangqi Ni, Yilun Zhao, Guo Gan, Arman Cohan · 2026

Computer-use agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, application-s…

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