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Physics Preprint PDF DOI

Fixed-PVM Born Rule Uniqueness from Fisher Non-Expansion and Operational Calibration

Aaron Lax · 2026

Fix a finite dimension $d \geq 2$ and a fixed rank-1 PVM $M=\{|e_1\rangle\langle e_1|,\ldots,|e_d\rangle\langle e_d|\}$ on ${\bf C}^d$. Let $P_M:\mathbb{CP}^{d-1}\to\Delta^{d-1}$ be a readout map on p…

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Physics Preprint PDF DOI

HyPulse: A Pulse Synthesis Framework for Hybrid Qubit-Oscillator Gates on Trapped-Ion Platform

Masoud Hakimi Heris, Yuan Liu, Frank Mueller · 2026

As hybrid qubit-oscillator algorithm development and trapped-ion hardware demonstrations advance in parallel, there is a lack of a compilation layer connecting the two at the pulse level in the vertic…

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Engineering Preprint PDF DOI

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee · 2026

Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing ann…

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Computer Science Preprint PDF DOI

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky · 2026

As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data an…

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Computer Science Preprint PDF DOI

Do E-Scooter Speed Governance Policies Reduce Harsh Acceleration and Deceleration? Evidence from 19.5 Million Trips Around a Regulatory Ban

Seongjin Choi, Sunbin Yoo, Sugie Lee · 2026

Do e-scooter speed governance policies yield behavioral safety gains beyond the mechanical cap they impose? A firmware ceiling mechanically prevents speeding, but whether the same riders also generate…

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Physics Preprint PDF DOI

The mixed-dimensional quantum MacWilliams identity: bounds for codes and absolutely maximally entangled states in heterogeneous systems

David Gonzalez-Lociga, Simeon Ball · 2026

As emerging quantum architectures evolve into heterogeneous networks combining different physical substrates, such as qubits for logic and higher-dimensional qudits for robust communication, the tradi…

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Physics Preprint PDF DOI

Data-driven reconstruction of spatiotemporal phase dynamics for traveling and oscillating patterns via Bayesian inference

Takahiro Arai, Toshio Aoyagi, Yoji Kawamura · 2026

Building on the phase reduction theory formulated for reaction-diffusion systems with spatial translational symmetry, we develop a data-driven method that reconstructs the spatiotemporal phase dynamic…

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AI & Data Science Preprint PDF DOI

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather

Md Abubakkar, Sajib Debnath, Md. Uzzal Mia · 2026

Accurate short-term electricity load forecasting is a cornerstone of U.S. grid reliability; however, prevailing deep learning models remain opaque, limiting operator trust during extreme weather. A un…

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Engineering Preprint PDF DOI

sumoITScontrol: Traffic Controller Collection for SUMO Traffic Simulations

Kevin Riehl, Anastasios Kouvelas, Michail A. Makridis · 2026

Reliable benchmarking is essential for progress in intelligent traffic control research. While microscopic traffic simulators such as SUMO enable detailed modelling of individual vehicle interactions,…

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AI & Data Science Preprint PDF DOI

Chinese-SkillSpan: A Span-Level Dataset for ESCO-Aligned Competency Extraction from Chinese Job Ads

Guojing Li, Zichuan Fu, Junyi Li, Wenxia Zhou, Xinyang Wu, Jinning Yang, Jingtong Gao, Feng Huang, Xiangyu Zhao · 2026

Job Skill Named Entity Recognition (JobSkillNER) aims to automatically extract key skill information from large-scale job posting data, which is important for improving talent-market matching efficien…

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Computer Science Preprint PDF DOI

Entrywise Low-Rank Approximation and Matrix $p \rightarrow q$ Norms via Global Correlation Rounding

Prashanti Anderson, Ainesh Bakshi, Samuel B. Hopkins · 2026

Given a matrix $A$, the goal of the entrywise low-rank approximation problem is to find $\operatorname{argmin} \|A-B\|_p$ over all rank-$k$ matrices $B$, where $\| \cdot \|_p$ is the entrywise $\ell_p…

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Computer Science Preprint PDF DOI

R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability

Yifei Wang, Jacky Keung, Xiaoxue Ma, Zhenyu Mao, Kehui Chen, Yishu Li · 2026

Accurate requirement-to-code traceability is crucial for software maintenance. However, existing IR- and embedding-based methods are heavily dependent on lexical similarity, often yielding incomplete …

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Engineering Preprint PDF DOI

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications

Muhy Eddin Za'ter, Bri-Mathias Hodge · 2026

Accurate forecasting of electric load and renewable generation is essential for reliable and cost effective power system operations. Recent advances in transformer based and foundation machine learnin…

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Mathematics Preprint PDF DOI

On Scott's odd induced subgraph conjecture and a related problem

Bo Ning · 2026

For a graph $G$, let $f_o(G)$ denote the maximum order of an induced subgraph of $G$ all of whose vertices have odd degree, and let $\chi(G)$ denote the chromatic number of $G$. Scott (CPC, 1992) prov…

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Mathematics Preprint PDF DOI

Handling some Diophantine equation via Euclidean algorithm and its application to purely exponential equations

Takafumi Miyazaki, Reese Scott, Robert Styer · 2026

In this paper, we use a variety of classical and new research methods for ternary exponential Diophantine equations and extensive use of computer calculations to study the conjecture of R. Scott and R…

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AI & Data Science Preprint PDF DOI

Modeling Multiple Support Strategies within a Single Turn for Emotional Support Conversations

Jie Zhu, Huaixia Dou, Junhui Li, Lifan Guo, Feng Chen, Jinsong Su, Chi Zhang, Fang Kong · 2026

Emotional Support Conversation (ESC) aims to assist individuals experiencing distress by generating empathetic and supportive dialogue. While prior work typically assumes that each supporter turn corr…

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AI & Data Science Preprint PDF DOI

When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization

Tianqi Li, Wenyu Fang, Xin He, Xue Geng, Xu Cheng, Yun Liu · 2026

Camouflaged object detection (COD) segments objects that intentionally blend with the background, so predictions depend on subtle texture and boundary cues. COD is often needed under tight on-device m…

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AI & Data Science Preprint PDF DOI

Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring

Shahar Cohen, David M. Steinberg, Yael Radzyner, Yochai Ben Horin · 2026

We study a classification problem with three key challenges: pervasive informative missingness, the integration of partial prior expert knowledge into the learning process, and the need for interpreta…

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AI & Data Science Preprint PDF DOI

Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks

Kang An, Chenhao Si, Shiqian Ma, Ming Yan · 2026

Physics-Informed Neural Networks (PINNs) often suffer from slow convergence, training instability, and reduced accuracy on challenging partial differential equations due to the anisotropic and rapidly…

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AI & Data Science Preprint PDF DOI

A Resource-Efficient Hybrid CNN-LSTM network for image-based bean leaf disease classification

Hye Jin Rhee, Joseph Damilola Akinyemi · 2026

Accurate and resource-efficient automated diagnosis is a cornerstone of modern agricultural expert systems. While Convolutional Neural Networks (CNNs) have established benchmarks in plant pathology, t…

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