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Engineering Preprint PDF DOI

Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning

Mahuizi Lu, Kelin Jia, Rajib Goswami, Yukun Hu ยท 2026

The rapid electrification and intelligence of modern transportation systems place stringent demands on the electromagnetic compatibility, reliability, and adaptability of automotive power electronics.โ€ฆ

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AI & Data Science Preprint PDF DOI

RHyVE: Competence-Aware Verification and Phase-Aware Deployment for LLM-Generated Reward Hypotheses

Feiyu Wu, Xu Zheng, Zhuocheng Wang, Yi ming Dai, Hui Li ยท 2026

Large language models (LLMs) make reward design in reinforcement learning substantially more scalable, but generated rewards are not automatically reliable training objectives. Existing work has focusโ€ฆ

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Economics & Finance Preprint PDF DOI

Fast-Vollib: A Fast Implied Volatility Library for Pythonwith PyTorch, JAX, and CUDA Fused-Kernel Backends

Raeid Saqur ยท 2026

We present fast-vollib, an open-source Python library that provides high-performance European option pricing, implied volatility (IV) computation, and Greeks under the Black-76, Black-Scholes, and Blaโ€ฆ

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AI & Data Science Preprint PDF DOI

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation

Shouren Wang, Wang Yang, Chuang Ma, Debargha Ganguly, Vikash Singh, Chaoda Song, Xinpeng Li, Xianxuan Long, Vipin Chaudhary, Xiaotian Han ยท 2026

Hybrid-thinking language models expose explicit think and no-think modes, but current designs do not separate them cleanly. Even in no-think mode, models often emit long and self-reflective responses,โ€ฆ

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Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann ยท 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Sampโ€ฆ

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Mathematics Preprint PDF DOI

Explainable Artificial Intelligence for Financial Integral Equations: A Fixed-Point Neural Operator Approach

Sanjay Kumar Mohanty ยท 2026

The explainable artificial intelligence is used to analyze the stochastic Fredholm integral equations (SFIEs) and stochastic deep neural networks (SDNNs). The neural operator-based stochastic fixed poโ€ฆ

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Mathematics Preprint PDF DOI

Stretched Schubert coefficients are eventually quasi-polynomial

Igor Pak, Zachary Slonim ยท 2026

For a permutation $u\in S_n$, let $N\ast u\in S_{Nn}$ be the permutation with scaled Lehmer code. For given $u,v,w\in S_n$ and integer $N$, the stretched Schubert coefficients are defined as $f_{u,v,wโ€ฆ

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Mathematics Preprint PDF DOI

Maximal Algebras of Block Toeplitz Matrices with Entries in the Schur Algebra

Muhammad Ahsan Khan ยท 2026

The classification of maximal algebras of square block Toeplitz matrices is a considerably more difficult problem and has received relatively little attention in the existing literature. In this work,โ€ฆ

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Computer Science Preprint PDF DOI

Reproducible Automated Program Repair Is Hard -- Experiences With the Defects4J Dataset

Adam Krafczyk, Klaus Schmid ยท 2026

In the research of automated program repair (APR), benchmark datasets consisting of known defects in combination with test suites that indicate the defects are of high importance. They allow for an evโ€ฆ

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Computer Science Preprint PDF DOI

EMiX: Emulating Beyond Single-FPGA Limits

Alexander Kropotov, Miquel Moreto, Behzad Salami ยท 2026

FPGA-level emulation is a key step in pre-silicon chip design validation. However, emulating large-scale multi-core systems increasingly exceed the hardware resource capacity of a single FPGA, limitinโ€ฆ

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AI & Data Science Preprint PDF DOI

Hierarchical adaptive control for real-time dynamic inference at the edge

Francesco Daghero, Mahyar Tourchi Moghaddam, Mikkel Baun Kj{ae}rgaard ยท 2026

Industrial systems increasingly depend on Machine Learning (ML), and operate on heterogeneous nodes that must satisfy tight latency, energy, and memory constraints. Dynamic ML models, which reconfigurโ€ฆ

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Mathematics Preprint PDF DOI

A Schur-positivity classification for complete multipartite graphs

Ethan Shelburne, Stephanie van Willigenburg ยท 2026

A graph is Schur-positive if its chromatic symmetric function expands non-negatively in the Schur basis. We determine a full Schur-positivity classification for complete multipartite graphs by showingโ€ฆ

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Computer Science Preprint PDF DOI

RAG-Enhanced Kernel-Based Heuristic Synthesis (RKHS): A Structured Methodology Using Large Language Models for Hardware Design

Shiva Ahir, Alex Doboli ยท 2026

Heuristic design upholds modern electronic design automation (EDA) tools, yet crafting effective placement, routing, and scheduling strategies entails substantial expertise. We study how large languagโ€ฆ

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Computer Science Preprint PDF DOI

NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation

Haoran Wan, Yaxiong Xie, Kyle Jamieson ยท 2026

Current and future applications demand ultra-low latency and consistent throughput, yet frequently traverse 5G cellular networks, so cope with volatile packet dynamics, as 5G base station schedulers dโ€ฆ

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Computer Science Preprint PDF DOI

NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference

Mingbo Hao, Changwei Yan, Haoyu Cui, Zhihao Yan, Yizhi Ding, Zhangrui Qian, Weiwei Shan ยท 2026

The rapid growth of LLMs demands high-throughput, memory-capacity-intensive inference on resource-constrained edge devices, where single-batch decoding remains fundamentally memory-bound. Existing outโ€ฆ

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Mathematics Preprint PDF DOI

GIT quotient of minimal dimensional Schubert variety modulo a subtorus

Arkadev Ghosh, S. S. Kannan ยท 2026

Let $G=PSL(n,\mathbb{C})$. Let $T$ be a maximal torus of $G$. Let $\omega_{r}$ denote the $r^{th}$ fundamental weight. Let $\mathcal{L}(n\omega_{r})$ denote the line bundle on the Grassmannian $G_{r,nโ€ฆ

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Physics Preprint PDF DOI

No Tile Left Behind: Multiprogramming for Surface-Code Architectures

Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh ยท 2026

Fault-tolerant quantum computing (FTQC) is emerging as the architectural regime in which practical large-scale quantum workloads will execute. In this setting, however, multiprogramming is no longer aโ€ฆ

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AI & Data Science Preprint PDF DOI

Optimization-Free Topological Sort for Causal Discovery via the Schur Complement of Score Jacobians

Rui Wu, Hong Xie ยท 2026

Continuous causal discovery typically couples representation learning with structural optimization via non-convex acyclicity penalties, which subjects solvers to local optima and restricts scalabilityโ€ฆ

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Mathematics Preprint PDF DOI

Encoded Forward Backward Stochastic Neural Network for High-Dimensional Backward Stochastic Differential Equations and Parabolic Partial Differential Equations

Zhao Zhang, Zhuopeng Hou ยท 2026

Backward stochastic differential equation (BSDE) provides probabilistic solutions for a class of parabolic partial differential equations (PDEs). DeepBSDE and FBSNN are two deep learning approaches foโ€ฆ

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Computer Science Preprint PDF DOI

CacheFlow: Efficient LLM Serving with 3D-Parallel KV Cache Restoration

Sean Nian, Jiahao Fang, Qilong Feng, Zhiyu Wu, Fan Lai ยท 2026

KV cache restoration has emerged as a dominant bottleneck in serving long-context LLM workloads, including multi-turn conversations, retrieval-augmented generation, and agentic pipelines. Existing appโ€ฆ

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