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AI & Data Science Preprint PDF DOI

Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People

Nina Seron-Abouelfadil, Poppy Fynes · 2026

Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictation and audism. Through this, many potential probl…

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Physics Preprint PDF DOI

Local probing of superconductivity at oxide interfaces with atomic force microscopy

Dilek Yildiz, Sungmin Kim, Dengyu Yang, Muqing Yu, Kyoungjun Lee, Ruiqi Sun, En-Min Shih, Steven R. Blankenship, Patrick Irvin, Franz J. Giessibl, Chang-Beom Eom, Jeremy Levy, Joseph A. Stroscio · 2026

Superconductivity in strontium titanate has remained enigmatic for more than 50 years. The LaAlO$_3$/SrTiO$_3$ (LAO/STO) heterointerface enables systematic dimensional confinement, from a two-dimensio…

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AI & Data Science Preprint PDF DOI

Differentiable latent structure discovery for interpretable forecasting in clinical time series

Ivan Lerner, Jean Feydy, Alexandre Kalimouttou, Anita Burgun, Francis Bach · 2026

Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice interpret…

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Physics Preprint PDF DOI

The Large Array Survey Telescope-Pipeline. II. Image Subtraction and Transient Detection

R. Konno, E. O. Ofek, A. Krassilchtchikov, Y. Shvartzvald, S. Ben-Ami, D. Polishook, C. Tishler, E. Segre, S. Garrappa, E. A. Zimmermann, A. Horowicz, P. Chen, A. Gal-Yam, M. Engel, Y. M. Shani, S. A. Spitzer, S. Fainer, O. Yaron, A. Blumenzweig · 2026

Context. The Large Array Survey Telescope (LAST) is a wide-field visual-band survey designed to explore the variable and transient sky with high cadence. Its raw data stream is automatically processed…

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Physics Preprint PDF DOI

A New Perspective on Galactic Evolution: Studying the Outskirts of the Abell S1063 Galaxy Cluster

L. Pecoraro, A. Mercurio, M.Annunziatella, M. D'Addona, R. Ragusa, G. Angora, M. Girardi, G. Granata, C. Grillo, L. Limatola, P. Rosati, P. Bergamini, G. Caminha, F. Getman, A. Grado, M. Meneghetti, E. Vanzella · 2026

Galaxy physical properties are influenced by their environments, but the processes responsible for mass and environmental quenching and structural transformations remain debated. Galaxy clusters are i…

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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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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

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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AI & Data Science Preprint PDF DOI

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks

Ta-Yang Wang, Rajgopal Kannan, Viktor Prasanna · 2026

Heterogeneous graphs are widely used to model multi-relational systems, but missing node attributes remain a major bottleneck for downstream learning. In this paper, we identify and formalize type-dep…

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Mathematics Preprint PDF DOI

Thermodynamically Constrained Information Geometric Regularization for Compressible Flows

Seth Taylor, Raymond J. Spiteri, Stephane Gaudreault · 2026

We construct and analyze a thermodynamic extension of the recently proposed information geometric regularization of Cao and Sch\"afer. The construction extends their shock-mitigating Hessian metric ge…

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Mathematics Preprint PDF DOI

Reverse Tableaux and the Surjectivity of the Component Map in Type $A$

Yasmine Fittouhi · 2026

Let $G = \mathrm{SL}(n,\mathbb{C})$, let $B$ be a fixed Borel subgroup, and let $P \supset B$ be a parabolic subgroup determined by a composition $(c_1,\dots,c_k)$ of $n$. Write $P'$ for the derived g…

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AI & Data Science Preprint PDF DOI

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

Jerry Y. Huang, Justin Lin, Sheel Shah, Kartik Nair, Nicholas M. Boffi · 2026

In generative modeling, we often wish to produce samples that maximize a user-specified reward such as aesthetic quality or alignment with human preferences, a problem known as guidance. Despite their…

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Mathematics Preprint PDF DOI

Weakly, sufficiently or strongly localized operators on the Fock space in \mathh C^n

David Bekolle, Solange B. Difo, Hugues O. Defo, Edgar L. Tchoundja · 2026

We study properties of the following four classes of operators on the Fock space in $\mathbb C^n:$ 1) weakly localized operators; 2) sufficiently localized operators in the sense of Xia and Zheng; 3) …

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Mathematics Preprint PDF DOI

Man, Machine, and Mathematics

Akshunna S. Dogra · 2026

Nonlinear models and optimization methods have successfully tackled a rapidly growing set of problems in recent years. Indeed, a relatively small toolbox of such models and methods can provide suffici…

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Physics Preprint PDF DOI

Testing Scale-Dependent Modified Gravity with DESI DR1

D. Gonzalez, G. Niz, A. Aviles, C. Garcia-Quintero, H.E. Noriega, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, A. de Mattia, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gaztanaga, S. Gontcho A Gontcho, G. Gutierrez, C. Hahn, K. Honscheid, D. Huterer, M. Ishak, R. Joyce, S. Juneau, R. Kehoe, D. Kirkby, M. Landriau, L. Le Guillou, M. E. Levi, M. Manera, A. Meisner, R. Miquel, S. Nadathur, W.J. Percival, I. Perez-Rafols, G. Rossi, L. Samushia, E. Sanchez, D. Schlegel, H. Seo, J. Silber, D. Sprayberry, G. Tarle, B. A. Weaver, R. Zhou (DESI Collaboration) · 2026

The Dark Energy Spectroscopic Instrument (DESI) provides an unprecedented opportunity to test deviations from general relativity (GR) that introduce a new physical scale within its redshift range. Usi…

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Computer Science Preprint PDF DOI

Hot Fixing in the Wild

Carol Hanna, Karine Even-Mendoza, W.B. Langdon, Mar Zamorano Lopez, Justyna Petke, Federica Sarro · 2026

Despite the operational importance of hot fixes, large-scale evidence on how they reshape routine maintenance workflows, particularly in the era of autonomous coding agents, remains limited. We analys…

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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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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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Mathematics Preprint PDF DOI

Ramsey Property and Pathological Sets: Almost Disjointness, Independence and Other Maximal Objects

Jialiang He, Jintao Luo, Shuguo Zhang · 2026

We show that under $\mathsf{ZF} + \mathsf{CC}_{\mathbb R}$, if the Ramsey property holds for all sets in a good pointclass $\Gamma$, then there is no MAD family in $\Gamma$, proving a long-standing co…

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Physics Preprint PDF DOI

The End of the First Act: Spectral Running, Interacting Dark Radiation, and the Hubble Tension in Light of ACT DR6 Data

Mathias Garny, Florian Niedermann, Martin S. Sloth · 2026

We point out that constraints on $\Delta N_\mathrm{eff}$ reported by the ACT collaboration in their DR6 data release are surprisingly sensitive to the assumptions made about the initial power spectrum…

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