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Mathematics Preprint PDF DOI

Time-dependent Robin heat equation via Markovian switching

Fausto Colantoni · 2026

This paper investigates the heat equation on a bounded domain with a Robin boundary condition, where the reactivity parameter (or killing rate) is modeled as a continuous-time Markov chain. We analyze…

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Computer Science Preprint PDF DOI

Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Peter Clark, Yong Guan, Zhonghao Liao · 2026

Android residential proxy applications represent a growing class of potentially-unwanted programs (PUPs) that covertly route third-party traffic through end-user devices, enabling ad fraud, credential…

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Computer Science Preprint PDF DOI

Efficient Training on Multiple Consumer GPUs with RoundPipe

Yibin Luo, Shiwei Gao, Huichuan Zheng, Youyou Lu, Jiwu Shu · 2026

Fine-tuning Large Language Models (LLMs) on consumer-grade GPUs is highly cost-effective, yet constrained by limited GPU memory and slow PCIe interconnects. Pipeline parallelism combined with CPU offl…

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Economics & Finance Preprint PDF DOI

The Reservation Inflation of Hard Money: Gold-Standard Deflation and the Real Expansion of Nominal Claims, 1873-1896

Ran Huang · 2026

The original SCR theory proposed that inflation has two distinct expressions: circulation inflation, measured by rising transaction prices, and reservation inflation, measured by the rising real weigh…

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Computer Science Preprint PDF DOI

Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure

Maria Florencia Acosta, Rodrigo Garcia Arancibia, Pamela Llop, Mariel Lovatto, Lucas Mansilla · 2026

This paper presents a novel value-aware approach to product recommendation that simultaneously addresses the high dimensionality and sparsity of user-item data while explicitly incorporating the contr…

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AI & Data Science Preprint PDF DOI

Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

Eranga Bandara, Ross Gore, Asanga Gunaratna, Sachini Rajapakse, Isurunima Kularathna, Ravi Mukkamala, Sachin Shetty, Xueping Liang, Amin Hass, Tharaka Hewa, Abdul Rahman, Christopher K. Rhea, Anita H. Clayton, Preston Samuel, Atmaram Yarlagadda · 2026

The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance gap. Existing approaches, runtime guardrails, training…

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Engineering Preprint PDF DOI

Dual-Polarized Massive MIMO Based on Precoding for Vehicle-To-Ground Communication in Urban Rail Transit

Zhengyuan Wu, Junhui Zhao, Qingmiao Zhang, Ming Zhang · 2026

The development of intelligent and diversified ser vices in urban rail transit (URT) has resulted in an increasing de mand for high-rate communication between vehicles and ground equipment. However, e…

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AI & Data Science Preprint PDF DOI

Benchmarking OCR Pipelines with Adaptive Enhancement for Multi-Domain Retail Bill Digitization

Vijaysinh Gaikwad · 2026

The digitization of multi-domain retail billing documents remains a challenging task due to variability in scan quality, layout heterogeneity, and domain diversity across commercial sectors. This pape…

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AI & Data Science Preprint PDF DOI

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models

Michael Rumiantsau, Ivan Fokeev · 2026

LLMs deployed for natural-language querying of analytical databases suffer from two intertwined failures - incorrect answers and confident hallucinations - both rooted in the same cause: the model is …

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AI & Data Science Preprint PDF DOI

Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver

Joshua Sherwood, Ben Aybar, Benjamin Kaplan · 2026

Forecasting when AI systems will become capable of meaningfully accelerating AI research is a central challenge for AI safety. Existing benchmarks measure broad capability growth, but may not provide …

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Engineering Preprint PDF DOI

EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks

Yihang Li, Xuelong Wei, Jingzhou Luo, Yingjing Xiao, Yibo Bai, Guangyuan Zhou, Teng Zou, Chenguang Gui, Jiajun Wen, He Zhang, Kangliang Chen, Xing Pan, Shuaiyan Liu, Daming Wang, Tao An, Jiayi Li, Shibo Jin, Wanwan Zhang, Tianyu Wang, Boren Wei, Zhixuan Huang, Fangsheng Liu, Ruodai Li, Hui Zhang, Anson Li, Yicheng Gong, Peng Cao, Jiaming Liang, Liang Lin · 2026

The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and universal manipulatio…

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Physics Preprint PDF DOI

Electric potential of insulated conducting objects in presence of electric charges -- some exact and approximate results

Karlo Filipan, Hrvoje Stefancic · 2026

Determination of the electric potential of insulated conducting objects is an important problem both theoretically and practically. For an insulated conducting object in the presence of external charg…

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AI & Data Science Preprint PDF DOI

Different Strokes for Different Folks: Writer Identification for Historical Arabic Manuscripts

Hamza A. Abushahla, Ariel Justine N. Panopio, Layth Al-Khairulla, Mohamed I. AlHajri · 2026

Handwritten Arabic manuscripts preserve the Arab world's intellectual and cultural heritage, and writer identification supports provenance, authenticity verification, and historical analysis. Using th…

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AI & Data Science Preprint PDF DOI

Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain

Annika Batz, Pavel Klasek, Seo-Young Ham, Philipp Neumaier, Martin Koppel, Martin Lauer · 2026

Automated train operation on existing railway infrastructure requires robust camera-based perception, yet the railway domain lacks public benchmark suites with standardized evaluation protocols that w…

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Chemistry Preprint PDF DOI

Birth, Death, and Replication at Surfaces: Universal Laws of Autocatalytic Dynamics

Denis S. Grebenkov · 2026

Autocatalytic processes underlie diverse systems in which replication is triggered at interfaces, including heterogeneous catalysis on solid substrates, enzyme activity at membranes, viral infections,…

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Engineering Preprint PDF DOI

A Replicable Robotics Awareness Method Using LLM-Enabled Robotics Interaction: Evidence from a Corporate Challenge

S. A. Prieto, M. A. Gopee, Y. Ben Arab, B. Garcia de Soto, J. Esteba, P. Olivera Brizzio · 2026

Large language models are increasingly being explored as interfaces between humans and robotic systems, yet there remains limited evidence on how such technologies can be used not only for interaction…

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Physics Preprint PDF DOI

Vertical Shuttling Protocols for Trapped Ions in Multi-Rail, Multi-Zone Surface Ion Trap Architectures

Qirat Iqbal, Altaf H. Nizamani · 2026

We investigate optimized vertical ion-shuttling protocols for trapped-ion applications across a range of ion-trap experiments, including three-dimensional gradient-measurement sensors, on-chip ion flu…

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Computer Science Preprint PDF DOI

Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale

Kashish Mittal, Di Yu, Roozbeh Ketabi, Arushi Arora, Brendon Lapp, Peng Zhang · 2026

Training massive-scale deep learning models on datasets spanning tens of terabytes presents critical challenges in hardware utilization and training reproducibility. In this paper, we identify and res…

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AI & Data Science Preprint PDF DOI

A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs

Patrick Wilk, Ethan Cantor, Yikui Liu, Jie Li · 2026

The ongoing shift towards decentralization of the electric energy sector, driven by the growing electrification across end-use sectors, and widespread adoption of distributed energy resources (DERs), …

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Computer Science Preprint PDF DOI

TLSCheck 2.0: An Enhanced Memory Forensics Approach to Efficiently Detect TLS Callbacks

Kartik N. Iyer, Parag H. Rughani · 2026

Memory analysis is a crucial technique in digital forensics that enables investigators to examine the runtime state of a system through physical memory dumps. While significant advances have been made…

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