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Computer Science Preprint PDF DOI

Perfectly Private Over-the-Air Computation

Shudi Weng, Ming Xiao, Mikael Skoglund · 2026

This paper studies a key research question: how to achieve perfect privacy in over-the-air computation (AirComp)? The problem is particularly intriguing due to a dilemma. Real-field operations can ens…

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Physics Preprint PDF DOI

Finding Strongly Lensed Supernovae from Blended Light Curves

Sangwoo Park, Arman Shafieloo, Alex G. Kim, Eric V. Linder, Xiaosheng Huang · 2026

We present a model-independent, photometry-only framework for identifying strongly lensed supernovae when multiple images are unresolved and blended into a single point source. Building on the simulat…

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Physics Preprint PDF DOI

The First Empirical Calibration of the MIR Abundance Diagnostic Ne$_{23}$ with JWST

Noah S. J. Rogers, Evan D. Skillman, Danielle A. Berg, Karla Z. Arellano-Cordova, Richard W. Pogge, Alessandra Aloisi, Leslie K. Hunt, Anne E. Jaskot, Matilde Mingozzi, Ryan J. Rickards Vaught, Karin M. Sandstrom, O. Grace Telford, Macarena G. del Valle-Espinosa · 2026

Large surveys of galaxies in the local and high-redshift Universe have, traditionally, relied on the intensity of rest-optical emission lines from metal ions in the Interstellar Medium (ISM) to indire…

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AI & Data Science Preprint PDF DOI

Hearing the Room Through the Shape of the Drum: Modal-Guided Sound Recovery from Multi-Point Surface Vibrations

Shai Bagon, Matan Kichler, Mark Sheinin · 2026

Optical vibration sensing enables recovering the scene sound directly from the surface vibration of nearby objects, turning everyday objects into ``visual microphones''. However, most prior methods ha…

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Physics Preprint PDF DOI

Over forty years of research towards the understanding of Quantum Brownian Motion -- the contributions of A. O. Caldeira

Marcus V. S. Bonanca, Sebastian Deffner, Gert-Ludwig Ingold · 2026

This article presents a brief account of Amir O. Caldeira's contributions to the theory of quantum Brownian motion. Motivated by its importance, we outline the description of Brownian motion in the qu…

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Physics Preprint PDF DOI

Gravitational Properties of the Monopole Bag

Yu Komiya, Fumihiro Takayama · 2026

Axionic cosmologies constitute a class of models with phenomenologically rich symmetry breaking in the early universe. In the case where monopoles are present in such a background, the axion profile m…

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Physics Preprint PDF DOI

Benchmarking bandgap prediction in semiconductors under experimental and realistic evaluation settings

Haolin Wang, Xianyuan Liu, Anna Jungbluth, Alexandra J. Ramadan, Robert D. J. Oliver, Haiping Lu · 2026

Accurate bandgap prediction is crucial for semiconductor applications, yet machine learning models trained on computational data often struggle to generalize to experimental bandgap measurements. Chal…

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Mathematics Preprint PDF DOI

Families of Eliahou semigroups linked to Farey intervals

Axel Bacher · 2026

We describe new families of Eliahou semigroups, encompassing previous families described by Delgado, Eliahou and Fromentin, and Bras-Amor\'os. A crucial parameter is a Farey interval associated to the…

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Computer Science Preprint PDF DOI

Towards Localizing Conversation Partners using Head Motion

Payal Mohapatra, Calvin Murdock, Ali Aroudi, Ishwarya Ananthabhotla, Anjali Menon, Buye Xu, Morteza Khaleghimeybodi · 2026

Many individuals struggle to understand conversation partners in noisy settings, particularly amid background speakers or due to hearing impairments. Emerging wearables like smartglasses offer a trans…

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Computer Science Preprint PDF DOI

PageGuide: Browser extension to assist users in navigating a webpage and locating information

Tin Nguyen, Thang T. Truong, Runtao Zhou, Trung Bui, Chirag Agarwal, Anh Totti Nguyen · 2026

Users browsing the web daily struggle to quickly locate relevant information in cluttered pages, complete unfamiliar multi-step tasks, and stay focused amid distracting content. State-of-the-art AI as…

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AI & Data Science Preprint PDF DOI

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models

Michael Keeman · 2026

Mechanistic interpretability research on emotion in large language models -- linear probing, activation patching, sparse autoencoder (SAE) feature analysis, causal ablation, steering vector extraction…

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Mathematics Preprint PDF DOI

Study of Air Pollution Impact on Human Health in Major Cities in India using Fractal Analysis

Santanu Nandi · 2026

This study aims to examine the historical air pollution data from major Indian cities using fractal analysis to measure environmental risk. The fractal dimension of the major air pollutants is compute…

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Computer Science Preprint PDF DOI

TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog

Armin Abdollahi, Negin Ashrafi, Mehdi Kamal, Massoud Pedram · 2026

Early, tool-free prediction of post-synthesis timing remains a key obstacle to rapid RTL iteration. We introduce TimingLLM, a two-stage retrieval-augmented LLM pipeline that estimates worst negative s…

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Computer Science Preprint PDF DOI

Safeguarding Skies: Airport Cybersecurity in the Digital Age

Suphannee Sivakorn, Nuttaya Rujiratanapat, Yotsapat Ruangpaisarn, Chanond Duangpayap, Sakulchai Saramat · 2026

The aviation industry faces significant vulnerabilities from both physical and cybersecurity threats, highlighting the urgent need for enhanced cybersecurity measures amid increasingly sophisticated a…

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Engineering Preprint PDF DOI

A Vehicle Routing Problem for Human-Centered Electric Mobility

Mostafa Emam, Bjorn Martens, Thomas Rottmann, Matthias Gerdts · 2026

In this paper, we present the Electric Mobility Dial-a-Ride Problem (EM-DARP), which extends the Electric Vehicle Dial-a-Ride Problem (EV-DARP) to better accommodate human-focused mobility services. T…

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AI & Data Science Preprint PDF DOI

A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology

Tianyi Pan, Hwashin Hyun Shin, Alex Stringer, Glen McGee · 2026

This study quantifies the association between air pollution and mortality in Ontario, Canada. Exposure-response relationships in air pollution epidemiology are complex due to three features: time-lagg…

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Computer Science Preprint PDF DOI

Information-Theoretic Authenticated PIR: From PIR-RV To APIR

Pengzhen Ke, Yuxuan Qin, Liang Feng Zhang · 2026

Private Information Retrieval (PIR) allows clients to retrieve database entries without leaking retrieval indices, yet malicious servers seriously compromise retrieval correctness. Existing Authentica…

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AI & Data Science Preprint PDF DOI

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs · 2026

Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Understanding the spatial heterogeneity of heat exposure and its driv…

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Physics Preprint PDF DOI

Downward ultra-high-energy neutrino detection in the air with radio antennas at ground-based observatories

Baobiao Yue, Karl-Heinz Kampert, Julian Rautenberg · 2026

Ultra-high-energy (UHE) neutrinos are unique cosmic messengers that can traverse cosmological distances unattenuated, providing direct insight into the most energetic processes in the universe. Radio …

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AI & Data Science Preprint PDF DOI

A temporal deep learning framework for calibration of low-cost air quality sensors

Arindam Sengupta, Tony Bush, Ben Marner, Jose Miguel Perez, Soledad Le Clainche · 2026

Low-cost air quality sensors (LCS) provide a practical alternative to expensive regulatory-grade instruments, making dense urban monitoring networks possible. Yet their adoption is limited by calibrat…

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