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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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Mathematics Preprint PDF DOI

Polynomial Maps with Constants on Matrix Algebra

Prachi Saini, Anupam Singh · 2026

Let $\mathcal A$ be an $\mathbb F$-algebra and $\omega \in \mathcal A\langle x_1, \ldots, x_m \rangle$ which defines a map $\mathcal A^m \rightarrow \mathcal A$ by evaluation, called a polynomial map …

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Physics Preprint PDF DOI

Multirate characterization of relaxation mechanisms for two nonequivalent nuclear spins 1/2 in a liquid using maximally entangled pseudo-pure quantum states

Georgiy Baroncha, Alexander Perepukhov, Boris V. Fine · 2026

Multirate characterization of spin responses in nuclear magnetic resonance (NMR) is a promising approach to fingerprinting complex molecules in the presence of multiple relaxation mechanisms. Here we …

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Physics Preprint PDF DOI

Light-Cone Structure of Propagation of Entanglement

Israel Michael Sigal · 2026

For a wide class of bipartite systems with localized couplings, we establish existence of an effective light-cone for propagation of entanglement. This result yields a hard lower bound on the time it …

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Mathematics Preprint PDF DOI

On the unimportance of distant players in sparse stochastic differential network games

Marco Cirant, Davide Francesco Redaelli · 2026

We study stochastic differential games with $N$ players, where interactions are determined by sequences of graphs in which the number of neighbours of each node remains bounded as $N$ grows, such as c…

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Chemistry Preprint PDF DOI

Experimentally Accurate Graph Neural Network Predictions of Core-Electron Binding Energies

Adam E. A. Fouda, Joshua Zhou, Rodrigo Ferreira, Patrick Phillips, Valay Agarawal, Bhavnesh Jangid, Jacob J. Wardzala, Rui Ding, Junhong Chen, Nicole Tebaldi, Phay J. Ho, Laura Gagliardi, Linda Young · 2026

Graph neural network architectures are advantageous for predicting core-electron binding energies which depend on local bond environment effects, as the number of message passing layers defines the to…

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Mathematics Preprint PDF DOI

Stability and existence of relativistic plasma--vacuum interfaces

Paolo Secchi, Yuri Trakhinin, Tao Wang · 2026

We consider the free boundary problem for relativistic plasma--vacuum interfaces in two and three spatial dimensions. The plasma flow is governed by the equations of ideal relativistic magnetohydrodyn…

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Physics Preprint PDF DOI

TwinSpecNet: Extending APOGEE's chemical reach to low-S/N spectra via empirical paired learning

Weijia Sun, Cristina Chiappini, Samir Nepal · 2026

Large spectroscopic surveys rely on automated pipelines to deliver homogeneous stellar labels, but a substantial fraction of observations are at low signal-to-noise ratio (S/N), where label estimates …

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Physics Preprint PDF DOI

Complex first-passage transport in ring networks with long-range jumps and stochastic resetting

Oscar Ivan Torres Mena, Francisco J Sevilla · 2026

The transport properties of discrete-time random walks on ring networks with deterministic shortcuts are investigated through analytical and numerical methods. The network consists of a periodic chain…

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Computer Science Preprint PDF DOI

LUCid: Redefining Relevance For Lifelong Personalization

Chimaobi Okite, Anika Misra, Joyce Chai, Rada Mihalcea · 2026

Current approaches to lifelong personalization operationalize relevance through semantic proximity, causing them to miss essential user information from topically unrelated interactions. To address th…

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Physics Preprint PDF DOI

Resolved Maps of Gas and Dust in a Massive Quiescent Galaxy at z=2 from INQUEST-JWST: Evidence of Accretion and Rejuvenation

Sai Gangula, Andrew B. Newman, Meng Gu, Sirio Belli, Katherine E. Whitaker, Tania M. Barone, Aliza Beverage, Andrea Bolamperti, Letizia Bugiani, Richard S. Ellis, Mariska Kriek, Allison Matthews, Themiya Nanayakkara · 2026

Quiescent galaxies in the distant universe exhibit a range of gas content that may indicate a variety of quenching processes are at play. Mapping the distribution and kinematics of the gas can illumin…

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Computer Science Preprint PDF DOI

Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems

Ben Knight, Wm. Matthew Kennedy, James Edgell · 2026

AI-powered language learning tools increasingly provide instant, personalised feedback to millions of learners worldwide. However, this feedback can fail in ways that are difficult for learners--and e…

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Earth & Environmental Sciences Preprint PDF DOI

Measuring Apsidal Clustering

Amir Siraj, Christopher F. Chyba, Scott Tremaine · 2026

The decade-long debate over the existence of apsidal clustering in the outer solar system is poised for reignition given the plethora of distant trans-Neptunian object (TNO) discoveries expected from …

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AI & Data Science Preprint PDF DOI

TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning

Dominik Zurek, Kamil Faber, Marcin Pietron, Pawe{l} Gajewski, Roberto Corizzo · 2026

Continual offline reinforcement learning (CORL) aims to learn a sequence of tasks from datasets collected over time while preserving performance on previously learned tasks. This setting corresponds t…

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Physics Preprint PDF DOI

Minimum Toffoli depth for the multi-controlled Toffoli gate via teleportation

Spyros Tserkis, Muhammad Umer, Eleftherios Mastorakis, Dimitris G. Angelakis · 2026

The decomposition of complex quantum operations into experimentally feasible gate sets has been a central challenge since the early development of quantum computing. The multi-controlled Toffoli (MCT)…

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Physics Preprint PDF DOI

Near-identical photons from distant quantum dot-cavity devices

Thibaut Pollet, Victor Guilloux, Duc-Duy Tran, Anton Pishchagin, Stephen Wein, Joseph A. Sulpizio, William Hease, Petr Stepanov, Petr Steindl, Nico Margaria, Samuel Mister, Martina Morassi, Aristide Lemaitre, Thi Huong Au, Sebastien Boissier, Pascale Senellart · 2026

Scalable optical quantum technologies require interference between large numbers of indistinguishable single-photons emitted by independent sources. Semiconductor quantum dots are known to be excellen…

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Engineering Preprint PDF DOI

Performance Analysis of HAPS-RIS-Assisted MIMO Systems Under Phase-Dependent Amplitude Response Using Saddle Point Approximation

Tayfun Yilmaz, Haci Ilhan, Ali Gorcin, Halim Yanikomeroglu · 2026

This letter proposes a novel mathematical framework for the statistical characterization of reconfigurable intelligent surface (RIS)-mounted high-altitude platform station (HAPS)-assisted MIMO systems…

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Computer Science Preprint PDF DOI

FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti · 2026

Deep Learning methods are becoming prominent in automated software bug detection; however, they lack the global understanding of the given code. Consequently, their performance tends to degrade, espec…

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Computer Science Preprint PDF DOI

SpotVista: Availability-Aware Recommendation System for Reliable and Cost-Efficient Multi-Node Spot Instances

Taeyoon Kim, Kyumin Kim, Kyunghwan Kim, Hayoung Kim, Seungwoo Jeong, Moohyun Song, Kyungyong Lee · 2026

Cloud vendors offer discounted spot instances to maximize surplus resource utilization, but these instances are subject to the risk of sudden interruption. Traditional pricing datasets have been emplo…

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Physics Preprint PDF DOI

Field-theoretical description of the deuteron breakup in the clothed particle representation

O. Shebeko, A. Arslanaliev, Y. Kostylenko, V. Chahar, J. Golak, H. Kamada, W. N. Polyzou, D. Ramirez, R. Skibinski, K. Topolnicki, H. Wita{l}a · 2026

We present a field-theoretical description of the deuteron electrodisintegration reaction d(e,e'p)n induced by unpolarized and polarized electrons. The approach combines the Lehmann-Symanzik-Zimmerman…

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