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Physics Preprint PDF DOI

Nodal algebraic curves and entropy diagnostics in degenerate two-dimensional harmonic-oscillator shells

C A Escobar Ruiz, H Olivares-Pilon, A M Escobar-Ruiz · 2026

Degenerate quantum eigenspaces can support substantial changes in nodal geometry at fixed energy. We show that, for the two-dimensional isotropic harmonic oscillator, this restructuring is organized b…

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Computer Science Preprint PDF DOI

Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary results

Lauren Cadwallader, Iain Hrynaszkiewicz, parth sarin, Tim Vines · 2026

Numerous metascience studies and other initiatives have begun to monitor the prevalence of open science practices when it is more important to understand the 'downstream' effects or impacts of open sc…

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AI & Data Science Preprint PDF DOI

Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception

Neemias B da Silva, Rodrigo Minetto, Daniel Silver, Thiago H Silva · 2026

Large Language Models (LLMs) are increasingly used as proxies for human perception in urban analysis, yet it remains unclear whether persona prompting produces meaningful and reproducible behavioral d…

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Mathematics Preprint PDF DOI

Extremal graphs for average size of maximal matchings in bicyclic graphs

Kai Zhang · 2026

For a graph \(G\), let $avm(G)$ denote the average size of its maximal matchings. This parameter was introduced by Engbers and Erey in the study of extremal problems for maximal matchings, and they as…

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Physics Preprint PDF DOI

A nanoionic diode: Equilibrium rectifying junction enabling large and stable resistance variations

Chuanlian Xiao, Joachim Maier · 2026

We report on a new type of rectifier which is in full contact equilibrium and thus, if down-sized to the nanoscale, shows no drift even if exposed to elevated temperatures and/or extreme waiting times…

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AI & Data Science Preprint PDF DOI

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning

Zhiqiang Kou, Junxiang Wu, Wenke Huang, Wenwen He, Ming-Kun Xie, Changwei Wang, Yuheng Jia, Di Jiang, Yang Liu, Xin Geng, Qiang Yang · 2026

Federated Multi-Label Learning is a distributed paradigm where multiple clients possess heterogeneous multi-label data and perform collaborative learning under privacy constraints without sharing raw …

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Computer Science Preprint PDF DOI

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation

Guang Yang, Xing Hu, Xiang Chen, Xin Xi · 2026

Multimodal large language models (MLLMs) are increasingly used to translate visual artifacts into code, from UI mockups into HTML to scientific plots into Python scripts. A circuit diagram can be view…

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Physics Preprint PDF DOI

Adaptable Continuous Variable Quantum Network with Finite Size Security

Runjia Zhang, Akash nag Oruganti, Huy Q Nguyen, Adnan A.E. Hajomer, Vladyslav C. Usenko, Ulrik L. Andersen, Tobias Gehring · 2026

In recent years, continuous-variable quantum key distribution (CV-QKD) has become a promising paradigm for enabling secure communication among multiple end users sharing the same telecommunication bac…

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Computer Science Preprint PDF DOI

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

Xubin Luo, Yang Cheng · 2026

AI inference is becoming a persistent and geographically distributed source of electricity demand. Unlike many traditional electrical loads, inference workloads can sometimes be executed away from the…

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Physics Preprint PDF DOI

Spin-coherence characterization of boron vacancy defects in hexagonal boron nitride with broadband microwave pulses

Yuki Nakamura, Takuya Iwasaki, Shu Nakaharai, Shinichi Ogawa, Yukinori Morita, Kenji Watanabe, Takashi Taniguchi, Kento Sasaki, Kensuke Kobayashi · 2026

Negatively charged boron vacancy (VB-) defects in hexagonal boron nitride (hBN) are promising for nanoscale-proximity quantum sensing. To evaluate their performance, it is important to characterize th…

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AI & Data Science Preprint PDF DOI

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

Yuhua Wang, Qinnan Zhang, Xiaodong Li, Huan Zhang, Yifan Sun, Wangjie Qiu, Hainan Zhang, Yongxin Tong, Zhiming Zheng · 2026

Prototype-based Personalized Federated Learning (ProtoPFL) enables efficient multi-domain adaptation by communicating compact class prototypes, but directly sharing them poses privacy risks. A common …

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AI & Data Science Preprint PDF DOI

Differential Subgroup Discovery: Characterizing Where Two Populations Differ, and Why

Sascha Xu, Jilles Vreeken · 2026

We study the problem of understanding where two populations differ within a feature space, which we formalize in the concept of a differential subgroup: a subset of individuals from both populations w…

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Physics Preprint PDF DOI

Universal Nano-Bead Emitter Inks for Programmable Nanometric Fluorescent Architectures

Ilya Olevsko, Maria Shehadeh, Dmytro Ohorodniichuk, Leonid Weisman, Rotem Golan, Martin Oheim, Gerardo Byk, Adi Salomon · 2026

Fabricating brightly fluorescent layers with nanometric thickness and digitally controlled lateral structuration remains a challenge for next-generation photonic devices, optical calibration standards…

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Computer Science Preprint PDF DOI

LZn : Robust LoRa Frame Synchronization Under Frame Collisions and Ultra-Low SNR Conditions

Jose Alamos, Thomas C. Schmidt, Matthias Wahlisch · 2026

LoRa has become a widely adopted wireless modulation scheme in LPWANs due to its low cost, long range, and minimal transmission power. However, collisions between frames of the same spreading factor -…

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AI & Data Science Preprint PDF DOI

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor

Petter Tornberg, Michelle Schimmel · 2026

Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left. A parallel literat…

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Physics Preprint PDF DOI

Directional Cluster Migration Driven by Escape-Rate Asymmetry in Multi-Compartment Granular Systems

Kai Kono, Hiroyuki Ebata, Shio Inagaki · 2026

Granular materials are inherently out-of-equilibrium systems due to energy dissipation through inelastic collisions and friction. When driven by mechanical agitation such as vibration, they exhibit ri…

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AI & Data Science Preprint PDF DOI

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

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AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu · 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remain…

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AI & Data Science Preprint PDF DOI

FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning

Mahad Ali, Laura J. Brattain · 2026

Federated Learning (FL) enables collaborative model training across distributed clients without sharing raw data, yet its performance deteriorates under statistical heterogeneity. Clustered Federated …

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Computer Science Preprint PDF DOI

Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing

Nel Escher, Bakyt Yrysov, Ashley McDermott, Daniel Chechelnitsky, Hermela Berehan Benyam, Nikola Banovic · 2026

Though online platforms claim to amplify Indigenous voices, Indigenous communities are worried that these systems are instead eroding their language and culture. We conduct a community-informed algori…

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