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Computer Science Preprint PDF DOI

Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous

Eman Alashwali · 2026

Most service providers, such as Google, save logs from data generated by users while using the service. Many service providers provide users with privacy controls to manage whether, how, and for how l…

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Computer Science Preprint PDF DOI

Culturally Aware GenAI Risks for Youth: Perspectives from Youth, Parents, and Teachers in a Non-Western Context

Aljawharah Alzahrani, Tory Park, Tanusree Sharma · 2026

Generative AI tools are widely used by youth and have introduced new privacy and safety challenges. While prior research has explored youth's safety in GenAI within western context, it often overlooks…

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Physics Preprint PDF DOI

Benchmarking Universal Machine-Learned Interatomic Potentials for High-Temperature Metal-Organic Framework Chemistry

Connor W. Edwards, Jack D. Evans · 2026

Universal machine-learned interatomic potentials (uMLIPs) offer a promising approach to performing atomistic simulations at near-DFT accuracy with greatly reduced computational cost. Here, we present …

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AI & Data Science Preprint PDF DOI

Improving Driver Drowsiness Detection via Personalized EAR/MAR Thresholds and CNN-Based Classification

Gokdeniz Ersoy, Mehmet Alper Tatar, Eray Tonbul, Serap K{i}rb{i}z · 2026

Driver drowsiness is a major cause of traffic accidents worldwide, posing a serious threat to public safety. Vision-based driver monitoring systems often rely on fixed Eye Aspect Ratio (EAR) and Mouth…

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Mathematics Preprint PDF DOI

CRITERIA: A network decomposition and elementary flux mode translation-based tool for computing equilibria of biochemical systems

Exequiel Jun V. Villejo, Aurelio A. de los Reyes V, Bryan S. Hernandez · 2026

Understanding how biochemical systems settle into stable states, such as how protein concentrations reach equilibrium, is central to explaining cellular behavior and designing synthetic biological cir…

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Computer Science Preprint PDF DOI

From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMR

Nan Xu, Shiheng Li, Shengchao Hou · 2026

We propose a new approach for a practical two-stage Optical Music Recognition (OMR) pipeline, with a particular focus on its second stage. Given symbol and event candidates from the visual pipeline, w…

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AI & Data Science Preprint PDF DOI

A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding

Shuai Wang, Hongyi Zhu, Jia-Hong Huang, Yixian Shen, Chengxi Zeng, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring · 2026

Understanding artworks requires multi-step reasoning over visual content and cultural, historical, and stylistic context. While recent multimodal large language models show promise in artwork explanat…

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AI & Data Science Preprint PDF DOI

Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics

Syed Sajid Ullah, Amir Khan · 2026

Construction workers are highly vulnerable to heat stress, yet tools that translate real-time physiological data into actionable safety intelligence remain scarce. This study addresses this gap by dev…

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Computer Science Preprint PDF DOI

Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models

Xiang He, Chenxing Li, Jinting Wang, Yan Rong, Tianxin Xie, Wenfu Wang, Li Liu, Dong Yu · 2026

Large Audio-Language Models (LALMs) have made significant progress in audio understanding, yet they primarily operate as perception-and-answer systems without explicit reasoning processes. Existing me…

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AI & Data Science Preprint PDF DOI

AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers

Edson Araujo, Saurabhchand Bhati, M. Jehanzeb Mirza, Brian Kingsbury, Samuel Thomas, Rogerio Feris, James R. Glass, Hilde Kuehne · 2026

Recent advances in reasoning models have shown remarkable progress in text-based domains, but transferring those capabilities to multimodal settings, e.g., to allow reasoning over audio-visual data, s…

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Engineering Preprint PDF DOI

Topology Estimation for Open Multi-Agent Systems

Nana Wang, Pelin Sekercioglu, Dimos V. Dimarogonas · 2026

We address the problem of interaction topology identification in open multi-agent systems (OMAS) with dynamic node sets and fast switching interactions. In such systems, new agents join and interactio…

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Engineering Preprint PDF DOI

Audio-Cogito: Towards Deep Audio Reasoning in Large Audio Language Models

Longhao Li, Hongjie Chen, Zehan Li, Qihan Hu, Jian Kang, Jie Li, Lei Xie, Yongxiang Li · 2026

Recent advances in reasoning models have driven significant progress in text and multimodal domains, yet audio reasoning remains relatively limited. Only a few Large Audio Language Models (LALMs) inco…

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AI & Data Science Preprint PDF DOI

Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMs

Linhao Zhang, Yuhan Song, Aiwei Liu, Chuhan Wu, Sijun Zhang, Wei Jia, Yuan Liu, Houfeng Wang, Xiao Zhou · 2026

Recent Audio Large Language Models (AudioLLMs) exhibit a striking performance inversion: while excelling at complex reasoning tasks, they consistently underperform on fine-grained acoustic perception.…

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Medicine & Health Preprint PDF DOI

Voxel-Based Conversion of Hypofractionated Radiotherapy Dose Distributions to 2 Gy-Equivalent OAR Constraints: Proof-of-Concept Demonstrating the Radiobiological Benefits of Hypofractionation in a Prostate Radiotherapy Case

Mazen Moussallem, Dima Mahmoud, Antoine Nassif · 2026

Objectives: Existing voxel-based dose converters transform hypofractionated dose distributions into biologically effective dose (BED) or equivalent dose in 2 Gy fractions (EQD2), but they are not reli…

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Mathematics Preprint PDF DOI

Stable Finite-Time Singularity Formation for 3D Navier--Stokes via 5D-Lifted Axisymmetric Reductions

Rishad Shahmurov · 2026

We present a 5D-lifted analytic-profile program for finite-time singularity formation in the 3D incompressible Navier--Stokes equations on the periodic torus $\T^3$. The core of the construction is a …

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AI & Data Science Preprint PDF DOI

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation

Xiaoxiao Ma, Jiachen Lei, Tianfei Ren, Jie Huang, Siming Fu, Aiming Hao, Jiahong Wu, Xiangxiang Chu, Feng Zhao · 2026

Reinforcement learning (RL) has been successfully applied to autoregressive (AR) and diffusion models. However, extending RL to hybrid AR-diffusion frameworks remains challenging due to interleaved in…

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Computer Science Preprint PDF DOI

Trust in AI among Middle Eastern CS Students: Investigating Students' Trust and Usage Patterns Across Saudi Arabia, Kuwait and Jordan

Saleh Alkhamees, Ali Alfageeh, Bader Alkhazi, Duaa Alshdaifat, Amin Alipour · 2026

Background and Context: Artificial intelligence (AI) tools have been reshaping computing and computer science education. Trust in AI is a determining factor in the adoption of these tools. Recent stud…

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AI & Data Science Preprint PDF DOI

Generative Modeling under Non-Monotonic MAR Missingness via Approximate Wasserstein Gradient Flows

Gitte Kremling, Jeffrey Naf, Johannes Lederer · 2026

The prevalence of missing values in data science poses a substantial risk to any further analyses. Despite a wealth of research, principled nonparametric methods to deal with general non-monotone miss…

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AI & Data Science Preprint PDF DOI

MAR-MAER: Metric-Aware and Ambiguity-Adaptive Autoregressive Image Generation

Kai Dong, Tingting Bai · 2026

Autoregressive (AR) models have demonstrated significant success in the realm of text-to-image generation. However, they usually face two major challenges. Firstly, the generated images may not always…

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Engineering Preprint PDF DOI

Single-Waveguide Multiple-Pinching-Antenna Systems: OMA versus NOMA

Yanyu Cheng, Hao Li, Zhen Wang, Zhiguo Ding · 2026

This paper investigates the performance of a pinching-antenna (PA) system with a signal waveguide and multiple pinching antennas to serve users distributed across multiple rooms. The performance of th…

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