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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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Mathematics Preprint PDF DOI

Irreducible Ferrers diagrams in the Etzion-Silberstein conjecture

Hugo Beeloo-Sauerbier Couvee, Alessandro Neri · 2026

The Etzion-Silberstein conjecture asserts that, for any finite field $\mathbb F$, Ferrers diagram $\mathcal D$, and integer $d$, there exists a linear matrix code supported on $\mathcal D$ with minimu…

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AI & Data Science Preprint PDF DOI

Trace-Level Analysis of Information Contamination in Multi-Agent Systems

Anna Mazhar, Huzaifa Suri, Sainyam Galhotra · 2026

Reasoning over heterogeneous artifacts (PDFs, spreadsheets, slide decks, etc.) increasingly occurs within structured agent workflows that iteratively extract, transform, and reference external informa…

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AI & Data Science Preprint PDF DOI

The Inverse-Wisdom Law: Architectural Tribalism and the Consensus Paradox in Agentic Swarms

Dahlia Shehata, Ming Li · 2026

As AI transitions toward multi-agent systems (MAS) to solve complex workflows, research paradigms operate on the axiomatic assumption that agent collaboration mirrors the "Wisdom of the Crowd". We cha…

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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 · 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 Samp…

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Physics Preprint PDF DOI

Characterizing six seismic solar analogs observed by Kepler, K2, and HERMES

R. A. Garcia, S. Mathur, G. T. Hookway, D. Godoy-Rivera, T. Masseron, J. Betrisey, G. Buldgen, C. Lindsay, T. S. Metcalfe, O. J. Scutt, A. Stokholm, P. G. Beck, O. Benomar, G. R. Davies, A. Jimenez, J. Merc, M. B. Nielsen, E. Panetier, F. Perez Hernandez, L. Borg, S. N. Breton, L. Debacker, A. Escorza, D. H. Grossmann, A. Hamy, B. Liagre, M. N. Lund, S. Mathis, D.B. Palakkatharappil, A. R. G. Santos, V. Delsanti, L. Gonzalez-Cuesta, V. Fox, N. Proust · 2026

Solar analogs, stars that closely match the fundamental properties of the Sun, provide key benchmarks for testing stellar structure and evolution across different ages and activity levels. Their detai…

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Physics Preprint PDF DOI

SPYGLASS. VII-B. Tracing the Fragments of Massive Star Formation Using Low-Mass Associations

Ronan Kerr, Adam L. Kraus, Jonathan C. Tan, Julio Chaname, Facundo Perez Paolino, Joshua S. Speagle, Juan P. Farias, Jose G. Fernandez-Trincado, Keith Hawkins · 2026

New observations from the Gaia spacecraft have traced an emerging demographic of low-mass associations disconnected from larger associations or GMCs. The first of these associations were recently char…

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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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Physics Preprint PDF DOI

A short-period binary OGLE-BLG-ELL-006503 showing slow variations in brightness

S. M. Rucinski · 2026

Analysis of 28 years of OGLE project data for the 0.404 day period binary OGLE BLG ELL-006503 (V1231 Sco) shows a superposition of tidal-interaction variations of about 0.07 magnitude in the I-band on…

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Physics Preprint PDF DOI

The intrinsic dispersion of elemental abundance ratios in nearby metal-poor halo stars

Poul Erik Nissen, Anish Amarsi · 2026

Differential abundances of C, O, Mg, Al, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Zn, Y, and Zr were determined from high signal-to-noise VLT/UVES spectra for 25 turnoff stars with -2.4 < [Fe/H] < -1.3. Eff…

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Physics Preprint PDF DOI

Nature and nurture: the dynamical ages of in situ and accreted globular clusters in the Milky Way

Eugenio Carretta (INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna) · 2026

The bifurcated age-metallicity relation of globular clusters (GCs) in the Milky Way (MW) shows that GCs are either originated in situ or accreted into the Galaxy from former satellites of the MW. The …

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Physics Preprint PDF DOI

Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning

Jeff Shen, Joshua S. Speagle, Shirley Ho · 2026

Large-scale spectroscopic surveys have collectively observed millions of stars across the Milky Way, but each derives stellar labels using independent pipelines with distinct modelling assumptions, in…

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Physics Preprint PDF DOI

Characterisation of the Clouds' young stellar Bridge using Gaia DR3

Marie Scholch, Oscar Jimenez-Arranz, Merce Romero-Gomez, Xavier Luri · 2026

The interaction between the LMC and SMC (the Clouds) has resulted in prominent tidal features, including an extended bridge of gas and stars connecting the two galaxies. This Bridge has likely formed …

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Sociology & Anthropology Preprint PDF DOI

Estimating the cascading global impacts of gas disruptions in Qatar

Ritwick Mishra, Diksha Gupta, Achla Marathe, Krista Danielle Yu, Aaron Schroeder, Samarth Swarup, Brian Klahn, Phil Potter, Madhav Marathe, Anil Vullikanti · 2026

This study examines the global impacts of a localized disruption in Qatar's gas sector using a multi-regional input-output framework and scenario-based analysis. While the direct impacts of this disru…

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AI & Data Science Preprint PDF DOI

Compute Aligned Training: Optimizing for Test Time Inference

Adam Ousherovitch, Ambuj Tewari · 2026

Scaling test-time compute has emerged as a powerful mechanism for enhancing Large Language Model (LLM) performance. However, standard post-training paradigms, Supervised Fine-Tuning (SFT) and Reinforc…

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AI & Data Science Preprint PDF DOI

GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation

Yunsu Kim, Kaden Uhlig, Joern Wuebker · 2026

Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machine translation (MT) and limited post-editing. We argue that, for agentic tasks, this minima…

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Physics Preprint PDF DOI

TDCOSMO XXVI: Uniform lens modeling of eight doubly imaged quasars

Ryan Brady, Xiang-Yu Huang, Simon Birrer, Anowar J. Shajib, Nafis Sadik Nihal, Cameron Lemon, Martin Millon, Veronica Motta, Dominique Sluse, Frederic Courbin · 2026

We present the first uniform gravitational lens modeling analysis of eight doubly imaged quasars from multi-band observations with the Hubble Space Telescope. Previous time-delay cosmography analyses …

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Physics Preprint PDF DOI

$N$-body modelling of the ED-2 stream progenitor shows Gaia BH3's formation involved dynamical interactions

Daniel Marin Pina, Mark Gieles, Sara Rastello, Claudia Garcia-Diago, Giuliano Iorio, Marc Ardevol · 2026

Context. The Gaia collaboration announced the discovery of a binary of a massive black hole (33 M$_\odot$) with a low-mass giant star (Gaia BH3) in the ED-2 stellar stream. The properties of this bina…

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Physics Preprint PDF DOI

Multi-component, axisymmetric dynamical models of dSphs based on distribution functions: inferences on dark matter and intermediate-mass black holes in Draco and Ursa Minor

R. Pascale, G. Battaglia, J.M. Arroyo-Polonio, E. Vasiliev, C. Nipoti, G.F. Thomas · 2026

Dwarf spheroidal galaxies (dSphs) are prime laboratories for studying dark matter (DM) and the black hole demographics in the low-mass regime. These systems are also often flattened; nevertheless most…

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Physics Preprint PDF DOI

Analysis of the Gaia DR3 planetary nebula candidates and the possible symbiotic stars among them

Lionel Mulato, Jaroslav Merc, Stephane Charbonnel, Olivier Garde, Pascal le Du, Thomas Petit · 2026

The Gaia DR3, released in June 2022, included low-resolution BP/RP (XP) spectra that have been exploited for the classification of various types of emission-line objects using machine-learning techniq…

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