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Physics Preprint PDF DOI

Discontinuous BBP transitions

Dario Bocchi, Giulio Biroli, Chiara Cammarota, Federico Ricci-Tersenghi · 2026

The Baik-Ben Arous-Peche (BBP) transition sets fundamental limits for detecting low-rank structure in noisy high-dimensional data and underlies a wide range of spectral methods in many fields from phy…

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Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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Mathematics Preprint PDF DOI

Sufficient conditions for spanning $k$-trees in tough graphs

Caili Jia, Yong Lu · 2026

The toughness of a graph $G$, denoted by $\tau(G)$, is defined by $\tau(G)=$min $\{\frac{|S|}{c(G-S)}:S\subseteq V(G)$ and $c(G-S)\geq2\}$. A graph $G$ is said to be $\tau$-tough if $\tau(G)\geq \tau$…

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AI & Data Science Preprint PDF DOI

Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection

Ali Shibli, Andrea Nascetti, Yifang Ban · 2026

Semantic segmentation and change detection are two fundamental challenges in remote sensing, requiring models to capture either spatial semantics or temporal differences from satellite imagery. Existi…

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Engineering Preprint PDF DOI

Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez · 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entiti…

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Physics Preprint PDF DOI

A Cosmological Uncertainty Relation and Late-Universe Acceleration

Savvas M. Koushiappas · 2026

We propose that the size of the universe and its rate of expansion cannot be simultaneously specified with arbitrary precision, a quantum mechanical statement encoded in a deformed commutation relatio…

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Physics Preprint PDF DOI

A perturbative Liouville prescription for the celestial three-gluon amplitude

Grzegorz Biskowski, Franco Ferrari, Marcin R. Piatek, Artur R. Pietrykowski · 2026

We study the celestial three-gluon amplitude in a dilaton background through the Mellin-Liouville formulation proposed by Stieberger, Taylor and Zhu (STZ). The original map contains an ambiguity in th…

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Mathematics Preprint PDF DOI

Towards Bigness equivalence

F. Laytimi, D. S. Nagaraj · 2026

On the flag variety $ \mathcal{F}l_s(E)$ associated to a vector bundle $E,$ , a sequence $s$ and a partition $a,$ there is a line bundle $\it Q^a_s$ on $ \mathcal{F}l_s(E).$ The aim of this pape…

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Physics Preprint PDF DOI

Probing dust properties through polarized scattered-light images of a sample of ring-shaped protoplanetary disks

Maxime Roumesy, Francois Menard, Gaspard Duchene, Ryo Tazaki, Christian Ginski · 2026

The evolution of protoplanetary disks, especially in the early stages of planetary formation, as dust grows, is the cornerstone of the birth of planets. The mechanisms involved in the growth of sub-mi…

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Engineering Preprint PDF DOI

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation

Jihoon Lee, Seungeun Oh, Jihong Park, Seong-Lyun Kim, Seung-Woo Ko · 2026

Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-centric designs that re…

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Mathematics Preprint PDF DOI

Structural properties of Bia{\l}ynicki-Birula decompositions

Teddy Gonzales, Chayim Lowen · 2026

We investigate several aspects of the Bialynicki-Birula decomposition of a smooth complete $\mathbb{G}_m$-variety with finite fixed locus. Our results include novel characterizations of when the Bialy…

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Mathematics Preprint PDF DOI

Vertex Posets, Monotone Path Polytopes, and Chow Polynomials

Mateusz Micha{l}ek, Leonid Monin, Botong Wang · 2026

Let $P\subset\mathbb R^n$ be a convex polytope and let $\ell$ be a linear functional which is nonconstant on every edge of $P$. The induced acyclic orientation determines positive and negative Bia{\l}…

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Physics Preprint PDF DOI

Numerical inverse scattering transform for the coupled modified Korteweg-de Vries equation

Wen-Xin Zhang, Yong Chen · 2026

This paper develops the numerical inverse scattering transform (NIST) framework for the coupled modified Korteweg-de Vries (mKdV) equation based on its associated Riemann-Hilbert problem. The coupled …

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Mathematics Preprint PDF DOI

On large deviation principles for general random processes

A. A. Borovkov, K. A. Borovkov · 2026

Let $Z=\{Z(t): t\in \mathbb R\}$ be a stochastic process with trajectories in space $\mathbb D (\mathbb R)$. It is assumed that there exists an essentially smooth function $A:\mathbb R\to (-\infty, \i…

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Mathematics Preprint PDF DOI

Mod p Monodromy of Cyclic Covers of the Projective Line

Stepan Nesterov · 2026

In this paper, we prove a big monodromy theorem for the monodromy of cyclic coverings of projective line for cohomology with Fp-coefficients. This is a direct generalization of the results of Achter a…

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-I: Theoretical foundations

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou · 2026

This paper investigates the continuous-time counterpart of the Q-function for entropy-regularized mean-field control (MFC) with controlled common noise, coined as q-function by Jia and Zhou (2023) in …

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AI & Data Science Preprint PDF DOI

Stable but Wrong: An Inference Limit in Galactic Archaeology

Zhipeng Zhang · 2026

Statistical inference in observational science typically relies on a fundamental assumption: as sample size increases and uncertainties decrease, the inferred results should converge to the true physi…

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AI & Data Science Preprint PDF DOI

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering

Peifu Liu, Tingfa Xu, Jie Wang, Huan Chen, Huiyan Bai, Jianan Li · 2026

Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction: clustering aggregate…

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AI & Data Science Preprint PDF DOI

Linear Models, Variable Selection, Artificial Intelligence

By Riyadh Alrawkan, Edward Boone, Ryad Ghanam, Anton Westveld · 2026

Variable selection in linear regression models has been a problem since hypothesis testing began. Which variables to include or exclude from a model is not an easy task. Techniques such as Forward, Ba…

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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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