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Engineering Preprint PDF DOI

A MEC-Based Optimization Framework for Dynamic Inductive Charging

Emre Ak{i}skal{i}oglu, Mustafa Atmaca, Lorenzo Ghiro, Giovanni Perin, Renato Lo Cigno · 2026

Range anxiety and long recharging times remain critical barriers to electric vehicle adoption. Dynamic Inductive Charging (DIC) offers a compelling solution by enabling wireless power transfer while d…

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Engineering Preprint PDF DOI

Framework for Collaborative Operation of Autonomous Delivery Vehicles Within a Marshaling Yard

James O'Hara, Karl Wunderlich, Gregory Stevens · 2026

As autonomous vehicles slowly deploy into urban roads for limited use cases with significant edge case issues, closed facilities like marshaling yards provide a ripe case for combining lower-level veh…

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AI & Data Science Preprint PDF DOI

A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

Khalil Al-Rahman Youssefi, Marija Gojkovic, Walter Stefanutti, Mika Auer, Melanie Schranz · 2026

This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV) charging systems under configurable infrastructure and operational condition…

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Computer Science Preprint PDF DOI

Feature-Centric Methodology for Analyzing Cross-Chain NFT Migration Compatibility

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Cross-chain NFT migration refers to the process of transferring digital assets along with their associated functionalities and guarantees between distinct blockchain platforms. However, architectural …

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Computer Science Preprint PDF DOI

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit version…

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Computer Science Preprint PDF DOI

The Grand Software Supply Chain of AI Systems

Carmine Cesarano, Martin Monperrus · 2026

AI systems rest on software with low integrity mechanisms, leaving AI systems exposed across every stage from data acquisition to final inference. This paper makes the AI supply chain a first-class ob…

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Computer Science Preprint PDF DOI

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

Zi Li, Tian Zhou, Wenze Li, Jingyu Hua, Yunlong Mao, Sheng Zhong · 2026

Local fine-tuning datasets routinely contain sensitive secrets such as API keys, personal identifiers, and financial records. Although ''local offline fine-tuning'' is often viewed as a privacy bounda…

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Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic · 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluati…

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Physics Preprint PDF DOI

Emergence of prethermal time quasicrystalline order in a quasiperiodically driven non-interacting spin chain

Davood Marripour, Jahanfar Abouie · 2026

We study prethermal time quasicrystalline (TQC) order in a quasiperiodically driven chain of non-interacting spin-1/2 particles. The drive consists of two parts, switched on and off periodically with …

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Mathematics Preprint PDF DOI

An Analysis of the Diaconis-Holmes-Neal Markov Chain Sampler Under Generalized Unimodal Underlying Probabilities

Martin V. Hildebrand, Christopher J. Lange · 2026

Upon the introduction of the Metropolis algorithm, the question of how many steps in the Markov chain were needed to achieve convergence to stationarity became apparent. The convergence was rather slo…

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Physics Preprint PDF DOI

Momentum-Space Entanglement Signatures and Spinon Breakdown in the $J_1$-$J_2$ Zig-Zag Heisenberg Chain

Tom Oeffner, Ludwig Bordfeldt, Andreas Feuerpfeil, Lukas Elter, Tobias Helbig, Tobias Hofmann, Martin Greiter, Ronny Thomale · 2026

We investigate the resilience of spinon quasiparticles in the $J_1$-$J_2$ zig-zag spin chain ($J_2>0$) from the viewpoint of momentum-space entanglement. For small $J_2$, we show that deconfined spino…

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AI & Data Science Preprint PDF DOI

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach

Danny Parsons, David Stern, Mouhamadou Bamba Sylla, James Musyoka, John Bagiliko, Lily Clements, John Mupuro, Denis Ndanguza · 2026

Accurate, localised rainfall information is essential for applications such as agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…

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Physics Preprint PDF DOI

Transport characteristics of bulk and edge states in an off-diagonal Aubry--Andr\'e--Harper chain

Moumita Patra · 2026

We investigate quantum transport in an off-diagonal Aubry--Andr\'e--Harper chain. The periodic hopping modulation generates effective internal boundaries that strongly influence the transmission chara…

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Engineering Preprint PDF DOI

Learning to Route Electric Trucks Under Operational Uncertainty

Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang, Nikolay Aristov, Pedro P. Vergara, Chuchu Fan, Elenna Dugundji · 2026

Electric truck operations require routing decisions that remain feasible under limited battery range, long charging times, travel and energy consumption, and competition for shared charging infrastruc…

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Economics & Finance Preprint PDF DOI

What Drives Contagion? Identifying and Attributing Cross-Border Transmission Mechanisms

Avishek Bhandari, Ipsita Parida, Hitesh Kumar Sahu · 2026

We address the joint detection-and-attribution problem in cross-border financial contagion through a two-stage framework. The first stage applies wavelet-quantile transfer entropy across time-scales a…

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Computer Science Preprint PDF DOI

Efficient, VRAM-Constrained xLM Inference on Clients

Aditya Ukarande, Deep Shekhar, Marc Blackstein, Ram Rangan · 2026

To usher in the next round of client AI innovation, there is an urgent need to enable efficient, lossless inference of high-accuracy large language models (LLMs) and vision language models (VLMs), joi…

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AI & Data Science Preprint PDF DOI

Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference

Vasu Shyam, Anna Golubeva, Quentin Anthony · 2026

We present tensor and sequence parallelism (TSP), a parallel execution strategy that folds tensor parallelism and sequence parallelism onto a single device axis. In conventional multi-dimensional para…

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AI & Data Science Preprint PDF DOI

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

Sonali Sharma, Jin Long, George Shih, Sarah Eid, Christian Bluethgen, Francine L. Jacobson, Emily B. Tsai, Global Radiology Consortium, Ahmed M. Alaa, Curtis P. Langlotz · 2026

Chest X-ray interpretation is one of the most frequently performed diagnostic tasks in medicine and a primary target for AI development, yet current vision-language models are primarily trained on dat…

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Computer Science Preprint PDF DOI

Institutional Floors and Partisan Lenses: Cross-National Online Discourse on Political Violence in France and the United States

Andrew Yen Chang · 2026

This paper studies how online discussion shapes and assesses political violence across different settings, particularly how moral evaluation, as a social perception, varies across institutional contex…

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AI & Data Science Preprint PDF DOI

Breaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction

Theodore Glavas, Nikhita Vedula, Dushyanta Dhyani, Yilun Zhu, Shervin Malmasi · 2026

Some text generation tasks, such as Attribute Value Extraction (AVE), require decoding multiple independent sequences from the same document context. While standard autoregressive decoding is slow due…

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