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AI & Data Science Preprint PDF DOI

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Lincan Li, Zheng Chen, Yushun Dong ยท 2026

Electroencephalogram (EEG) signals are vital for automated seizure detection, but their inherent noise makes robust representation learning challenging. Existing graph construction methods, whether coโ€ฆ

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Physics Preprint PDF DOI

Deeply virtual pion production through two-loop order

Wen Chen, Feng Feng, Yu Jia, Qing-Tao Song, Guang Tang, Zhe-Yu Wang ยท 2026

Deeply virtual meson production (DVMP) is among the most prominent channels to extract the nucleon's generalized parton distributions (GPDs) at $ep$ scattering facilities such as {\tt JLab} and the upโ€ฆ

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AI & Data Science Preprint PDF DOI

Estimating Population Viral Load Contextual Exposure Using GPS-Derived Activity Spaces in Rural South Africa

Zhaoxing Wu, Haoyang Wu, Thulile Mathenjwa, Elphas Okango, Khai Hoan Tram, Margot Otto, Maxime Inghels, Paul Mee, Diego Cuadros, Hae-Young Kim, Till Barnighausen, Frank Tanser, Adrian Dobra ยท 2026

This article introduces novel methodologies for estimating contextual exposure to HIV population viral load using GPS data. We propose a comprehensive analytical framework comprising (i) local (grid-cโ€ฆ

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Computer Science Preprint PDF DOI

The Synthetic Social Graph: Emergent Behavior in AI Agent Communities

Sungguk Cha, DongWook Kim ยท 2026

Large language model (LLM) agents are increasingly deployed in social settings, yet little is known about how they interact in open-ended environments. We present the first comprehensive sociological โ€ฆ

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Physics Preprint PDF DOI

Coupling between stellar and HI lopsidedness in Milky Way-type galaxies from the Auriga Superstars cosmological simulations

Arianna Dolfi, Facundo A. Gomez, Rebekka Bieri, Francesca Fragkoudi, Robert J. J. Grand, Antonela Monachesi, Ruediger Pakmor, Freeke van de Voort ยท 2026

Lopsidedness is common in disk galaxies, yet its origin and evolution remain unclear. Previous studies typically examined stellar and gas asymmetries separately, but a combined analysis offers a stronโ€ฆ

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Physics Preprint PDF DOI

Tidal Response and Thermodynamics of Black Holes

Itamar Cohen, Dina Meylakh, Michael Smolkin, Israel Warszawiak ยท 2026

In this work, we revisit black hole Love numbers from two complementary perspectives. First, we develop a manifestly gauge-invariant framework that directly integrates out the short-distance degrees oโ€ฆ

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AI & Data Science Preprint PDF DOI

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models

Gongbo Zhang, Wen Wang, Ye Tian, Li Yuan ยท 2026

Diffusion large language models (dLLMs) offer parallel decoding and bidirectional context, but state-of-the-art dLLMs require billions of parameters for competitive performance. While existing distillโ€ฆ

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AI & Data Science Preprint PDF DOI

Flexible semiparametric modeling with application to Causal Inference

Kun Ren, Wen Su, Li Liu, Ian W. McKeague, Xingqiu Zhao ยท 2026

This paper proposes a flexible new framework for constructing Neyman-orthogonal scores in semiparametric models involving infinite-dimensional nuisance parameters. While locally estimation is vital foโ€ฆ

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Physics Preprint PDF DOI

A short-period binary OGLE-BLG-ELL-006503 showing slow variations in brightness

S. M. Rucinski ยท 2026

Analysis of 28 years of OGLE project data for the 0.404 day period binary OGLE BLG ELL-006503 (V1231 Sco) shows a superposition of tidal-interaction variations of about 0.07 magnitude in the I-band onโ€ฆ

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Physics Preprint PDF DOI

Wave Vortices Around Oscillating Subwavelength Holes: Water-Wave Observation

Junyi Ye, Zheyi Li, Alexey Y. Nikitin, Franco Nori, Wenzhe Liu, Konstantin Y. Bliokh, Lei Shi ยท 2026

We consider a two-dimensional wave system containing a subwavelength hole, such as an aperture in an interface supporting surface electromagnetic or acoustic waves, or an island in a fluid surface susโ€ฆ

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Physics Preprint PDF DOI

Development of a compact cryogenic Penning trap with permanent magnets: An intermediate step toward the Shanghai Penning Trap

Tianhang Zhang, Jiawei Wang, Jialin Liu, Jingtian Wei, Jiaxuan Ji, Jifei Wu, Zichen Su, Yiming Xie, Liangyu Huang, Ke Yao, Yang Shen, Yaming Zou, Baoren Wei, Bingsheng Tu ยท 2026

Penning traps, renowned for their unparalleled precision in determining fundamental properties such as mass and magnetic moments, are cornerstone instruments in modern physics. Their applications spanโ€ฆ

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Physics Preprint PDF DOI

Random Number Generators in Advanced Optical Experiments: A Comparative Analysis of Semiclassical, Quantum, and Hybrid Architectures

Daniil D. Reshetnikov, Anna A. Kretova, Anastasia A. Fominova, Evgenii A. Vashukevich, Tatiana Y. Golubeva, Kirill S. Tikhonov ยท 2026

Random numbers sequences (RNSs) play a vital role in various scientific and engineering applications. They are critical to the integrity of classical and quantum cryptography, the accuracy of mathematโ€ฆ

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Physics Preprint PDF DOI

Tidal Heating of Stellar Clusters in Fuzzy Dark Matter Halos

Yiheng Liu, Xinyu Li ยท 2026

Ultra-faint dwarf galaxies serve as powerful testing grounds for wave dark matter models through dynamical stellar heating. Previous simulation-based work derived a lower bound on the fuzzy dark matteโ€ฆ

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Engineering Preprint PDF DOI

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation

Yun-Shao Tsai, Yi-Cheng Lin, Huang-Cheng Chou, Tzu-Wen Hsu, Yun-Man Hsu, Chun Wei Chen, Shrikanth Narayanan, Hung-yi Lee ยท 2026

Objective metrics for emotional expressiveness are vital for speech generation, particularly in expressive synthesis and voice conversion requiring emotional prosody transfer. To quantify this, the fiโ€ฆ

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Physics Preprint PDF DOI

Scaling in Supersonic Turbulence: Energy Spectra and Fluxes using High-Fidelity Direct Numerical Simulations

Harshit Tiwari, Dhananjay Singh, Mahendra K. Verma, Rajesh Ranjan ยท 2026

Supersonic turbulence is vital to astrophysical and high-speed engineering flows, yet its energy transfer mechanisms remain poorly understood. We present high-resolution ($1024^3$) direct numerical siโ€ฆ

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Physics Preprint PDF DOI

Resolved Maps of Gas and Dust in a Massive Quiescent Galaxy at z=2 from INQUEST-JWST: Evidence of Accretion and Rejuvenation

Sai Gangula, Andrew B. Newman, Meng Gu, Sirio Belli, Katherine E. Whitaker, Tania M. Barone, Aliza Beverage, Andrea Bolamperti, Letizia Bugiani, Richard S. Ellis, Mariska Kriek, Allison Matthews, Themiya Nanayakkara ยท 2026

Quiescent galaxies in the distant universe exhibit a range of gas content that may indicate a variety of quenching processes are at play. Mapping the distribution and kinematics of the gas can illuminโ€ฆ

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Physics Preprint PDF DOI

Evolving Low- and Intermediate-Mass Binaries: Departures from Classical Theory

Lionel Siess ยท 2026

This review explores the physical mechanisms driving the evolution of low- and intermediate-mass binary star systems, with particular emphasis on emerging mechanisms that challenge classical paradigmsโ€ฆ

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Physics Preprint PDF DOI

Nature and nurture: the dynamical ages of in situ and accreted globular clusters in the Milky Way

Eugenio Carretta (INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna) ยท 2026

The bifurcated age-metallicity relation of globular clusters (GCs) in the Milky Way (MW) shows that GCs are either originated in situ or accreted into the Galaxy from former satellites of the MW. The โ€ฆ

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Computer Science Preprint PDF DOI

"The Worst Weather In America": Augmenting the Information Design of Extreme Cold Weather Forecasts

Michael Correll, Jay Broccolo, Drew Bush ยท 2026

Mount Washington is home to extreme, and extremely volatile, weather conditions. Consulting a weather forecast of conditions at the summit is vital for making one's visit as safe as possible. Using thโ€ฆ

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AI & Data Science Preprint PDF DOI

Diverse Image Priors for Black-box Data-free Knowledge Distillation

Tri-Nhan Vo, Dang Nguyen, Trung Le, Kien Do, Sunil Gupta ยท 2026

Knowledge distillation (KD) represents a vital mechanism to transfer expertise from complex teacher networks to efficient student models. However, in decentralized or secure AI ecosystems, privacy regโ€ฆ

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