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Physics Preprint PDF DOI

Giant Spin Magnetization from Quantum Geometry in Altermagnets

Neelanjan Chakraborti, Sudeep Kumar Ghosh, Snehasish Nandy · 2026

Altermagnets host spin-split band structures while exhibiting vanishing equilibrium spin magnetization, making field-induced responses a direct probe of their quantum geometry. A central question, in …

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Physics Preprint PDF DOI

A No-Cloning Trade-off Between Black Hole No-Hair and Horizon Smoothness

Sudhanva Joshi, Sunil Kumar Mishra · 2026

The black hole no-hair theorem is traditionally derived from the uniqueness theorems of general relativity. We show that a quantitative form follows from unitarity together with the standard semiclass…

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Physics Preprint PDF DOI

Discrete Lattice Models for Interface Growth on a Complete Graph

J. M. Marcos, J. J. Melendez, R. Cuerno, J. J. Ruiz-Lorenzo · 2026

We investigate the behavior of discrete interface growth models belonging to the Edwards--Wilkinson (EW) and Kardar--Parisi--Zhang (KPZ) universality classes, when defined on a complete graph, a topol…

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Physics Preprint PDF DOI

TESS Asteroseismology of Red Giants in the Old Metal-Rich Open Clusters NGC 188 & NGC 6791

Madeline Howell, Jennifer A. Johnson, Marc H. Pinsonneault, Leslie M. Morales, Jamie Tayar, John D. Roberts, Dennis Stello, Madeleine McKenzie · 2026

Open clusters are fundamental laboratories for investigating stellar and Galactic evolution, and serve as important benchmarks for asteroseismic analyses. Using a boutique method to analyze TESS photo…

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Mathematics Preprint PDF DOI

A High Dimensional Wild Bootstrap Max-Test for Detecting the Presence of Significant Predictors

Jonathan B. Hill · 2026

We construct a block bootstrap max-test for detecting the presence of significant predictors in a high dimensional setting, allowing for weakly dependent and heterogeneous (possibly non-stationary) da…

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Computer Science Preprint PDF DOI

A Generalisation of Goursat's Algorithm for Integration in Finite Terms

Sam Blake · 2026

We give a self-contained, modern exposition of \'Edouard Goursat's 1887 theorem on pseudo-elliptic integrals -- those integrals of the form $\int F(t)\,\d t/\sqrt{R(t)}$ with $R$ a cubic or quartic po…

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Physics Preprint PDF DOI

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation

Radmir Karamov, Tagir Karamov · 2026

Shallow nanoindentation enables mechanical characterization of thin films, individual phases and other volume-constrained materials, but measured hardness is often inflated by the indentation size eff…

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Physics Preprint PDF DOI

Sampling two-dimensional spin systems with transformers

Piotr Bia{l}as, Piotr Korcyl, Tomasz Stebel, Adam Stefanski, Dawid Zapolski · 2026

Autoregressive Neural Networks based on dense or convolutional layers have recently been shown to be a viable strategy for generating classical spin systems. Unlike these methods, sampling with transf…

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Physics Preprint PDF DOI

Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space

Jamie Swain, Cyprien Bone, Matthew T. Darby, Ewan Galloway, Keith T. Butler · 2026

MAX phases (M$_{n+1}$AX$_n$), precursors to MXenes, span a vast compositional space, motivating efficient computational screening for synthesisable candidates. We employ CrystaLLM$-\pi$, a large langu…

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Physics Preprint PDF DOI

Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem

Pratim Ugale, Ilya Tyagin, Karunya Shirali, Kien X. Nguyen, Ilya Safro · 2026

This work introduces Q3SAT-GPT, a generative model for discovering quantum circuits for the Max-E3-SAT problem. Our method learns from high-performing QAOA-style ans\"atze to directly generate candida…

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Computer Science Preprint PDF DOI

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak · 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deploya…

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Physics Preprint PDF DOI

On matrix Lax representations for (1+1)-dimensional evolutionary differential-difference equations

Sergei Igonin · 2026

Differential-difference matrix Lax representations (Lax pairs), gauge transformations, and discrete Miura-type transformations (MTs) belong to the main tools in the theory of (nonlinear) integrable di…

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AI & Data Science Preprint PDF DOI

Semi-supervised learning with max-margin graph cuts

Branislav Kveton, Michal Valko, Ali Rahimi, Ling Huang · 2026

This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic function solution. We mo…

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Engineering Preprint PDF DOI

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation

Shuhao Que, Remco Poelarends, Valentina Breschi, Ying Wang · 2026

Monitoring physical activity energy expenditure (PAEE) in daily life is essential for characterizing individual health and metabolic status. Although indirect calorimetry provides gold-standard PAEE m…

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AI & Data Science Preprint PDF DOI

Electricity price forecasting across Norway's five bidding zones in the post-crisis era

My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha, Dat Thanh Nguyen · 2026

Norway's electricity market is heavily dominated by hydropower, but the 2021--2022 energy crisis and stronger integration with Continental Europe have fundamentally altered price formation, reducing t…

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Physics Preprint PDF DOI

Tikhonov-regularised projected gradient flow for equality-constrained bilinear quantum control

Tanveer Ahmad · 2026

We study a projection-type gradient flow for equality-constrained maximisation of a smooth bilinear control objective on $\mathcal{H}=L^2(0,T;\mathbb{R})$, eliminating Lagrange multipliers through an …

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AI & Data Science Preprint PDF DOI

Automatic Causal Fairness Analysis with LLM-Generated Reporting

Alessia Berarducci, Eric Rossetto, Alessandro Antonucci, Marco Zaffalon · 2026

AutoML, intended as the process of automating the application of machine learning to real-world problems, is a key step for AI popularisation. Most AutoML frameworks are not accounting for the potenti…

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AI & Data Science Preprint PDF DOI

Layer-wise Lipschitz-Product Control for Deep Kolmogorov--Arnold Network Representations of Compositionally Structured Functions

Aleksander Tankman · 2026

We prove that any continuous function f from [0,1]^n to R representable by a finite computation tree with N internal nodes and compositional sparsity s = O(1) admits a deep Kolmogorov-Arnold Network (…

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AI & Data Science Preprint PDF DOI

SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection

Gabriel Stefan, Sergiu Nisioi · 2026

We describe our system for SemEval-2026 Task 6 (CLARITY: Unmasking Political Question Evasions), which classifies English political interview responses by coarse-grained clarity (3-way) and fine-grain…

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Mathematics Preprint PDF DOI

Adaptive Robust Confidence Intervals in Efron's Gaussian Two-Groups Model

Qiaosen Wang, Shuwen Chai, Chao Gao · 2026

Robust uncertainty quantification is increasingly important in modern data analysis and is often formalized under Huber's model, which allows an $\varepsilon$-fraction of arbitrary corruptions. In man…

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