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Computer Science Preprint PDF DOI

On the Principal Minor Expansion and Complexity of the Symmetrized Determinant

Sanyam Agarwal, Markus Blaser, Mridul Gupta · 2026

Barvinok introduced the symmetrized determinant ($\sdet$) as a \emph{non-commutative} analogue of the determinant. Intuitively, given a square matrix over an associative algebra, we can obtain the sym…

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Physics Preprint PDF DOI

Pulsation-driven helium transport as a potential source of the Blazhko effect

Geza Kovacs · 2026

We present a highly simplified nonlinear hydrodynamical model to emulate the main observed features of amplitude modulation (commonly known as Blazhko effect) in RR Lyrae stars. The model is based on …

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Physics Preprint PDF DOI

Response to the $^7_\Lambda$He interpretation of MAMI's recent determination of $B_\Lambda(^3_\Lambda$H)

Ryoko Kino, Patrick Achenbach, Pascal Klag, Sho Nagao, Satoshi N. Nakamura, Kotaro Nishi, Josef Pochodzalla, Tianhao Shao (on behalf of the A1 Collaboration) · 2026

We respond to the recent suggestion by A. Gal [arXiv:2604.18259] that the sharp pion-momentum peak at $p_{\pi^-} \approx 113.8$~MeV/$c$ observed in our $^7\mathrm{Li}(e,e^\prime K^+)$ electroproductio…

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Earth & Environmental Sciences Preprint PDF DOI

Quantifying the safe operating space for the Amazon rainforest under climate change and deforestation

Jonathan Kronke, Arie Staal, Jonathan F. Donges, Johan Rockstrom, Nico Wunderling · 2026

The Amazon rainforest is considered one of the core tipping elements in the climate system with a potential tipping point from rainforest to savannah between 2 and 6 {\deg}C of global warming. However…

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AI & Data Science Preprint PDF DOI

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

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AI & Data Science Preprint PDF DOI

Entropy of Ukrainian

Anton Lavreniuk, Mykyta Mudryi, Markiian Chaklosh · 2026

In natural language processing, the entropy of a language is a measure of its unpredictability and complexity. The first study on this subject was conducted by Claude Shannon in 1951. By having partic…

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Computer Science Preprint PDF DOI

A Reproducibility Study of LLM-Based Query Reformulation

Amin Bigdeli, Radin Hamidi Rad, Hai Son Le, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri · 2026

Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. However, these results are…

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AI & Data Science Preprint PDF DOI

End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians

Aaryan Shah, Andrew Hines, Alexia Downs, Denis Bajet, Paulius Mui, Fabiano Araujo, Laura Offutt, Aida Rutledge, Elizabeth Jimenez · 2026

Clinical AI systems require not just point-in-time evaluation but continuous governance: the ongoing practice of monitoring, evaluating, iterating, and re-evaluating performance throughout deployment.…

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Computer Science Preprint PDF DOI

Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Peter Clark, Yong Guan, Zhonghao Liao · 2026

Android residential proxy applications represent a growing class of potentially-unwanted programs (PUPs) that covertly route third-party traffic through end-user devices, enabling ad fraud, credential…

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Physics Preprint PDF DOI

Iron He-triplet signatures of shocks in the hottest galaxy clusters. Z/W line ratio, line broadening, and electron-ion temperature equilibration

Eugene Churazov, Yuri Ralchenko, Ildar I. Khabibullin, John C. Raymond, Annie Heinrich, Irina Zhuravleva, Reinout J. van Weeren, Congyao Zhang · 2026

A merger of clusters naturally drives shocks with Mach number $\mathscr{M}\lesssim 3$ in the intra-cluster medium (ICM). This process creates several distinct signatures, including sharp surface brigh…

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Physics Preprint PDF DOI

The major cluster merger in Abell 2034 as seen by XRISM: Strong turbulence and spectral anomalies?

Annie Heinrich, Irina Zhuravleva, Eugene Churazov, Congyao Zhang, Daniele Rogantini, Hannah McCall, Reinout J. van Weeren, William R. Forman · 2026

XRISM observations to date have shown that gas kinetic pressures in the intracluster medium (ICM) tend towards the low end of predictions from cosmological simulations. Here, we present a XRISM observ…

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Physics Preprint PDF DOI

Rydberg states of muonic helium in quantum electrodynamics

A. V. Eskin, A. P. Martynenko, F. A. Martynenko, D. K. Pometko · 2026

The variational method is used to study the energy levels of muonic helium $(\mu^{-} \, e^{-} \, He)$ with an electron in the ground state and a muon in an excited state with principal and orbital qua…

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Physics Preprint PDF DOI

Phase Stability of Superfluid $^{3}\mathrm{He}$ in Anisotropic Aerogel

J. W. Scott, D. Park, X. Yuan, W. P. Halperin · 2026

The A and B phases of superfluid 3 He have vector degrees of freedom that reflect their characteristic broken symmetries, respectively chiral and spin-orbit rotation axes. Anisotropic disorder in the …

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AI & Data Science Preprint PDF DOI

Co-Evolving Policy Distillation

Naibin Gu, Chenxu Yang, Qingyi Si, Chuanyu Qin, Dingyu Yao, Peng Fu, Zheng Lin, Weiping Wang, Nan Duan, Jiaqi Wang · 2026

RLVR and OPD have become standard paradigms for post-training. We provide a unified analysis of these two paradigms in consolidating multiple expert capabilities into a single model, identifying capab…

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Physics Preprint PDF DOI

Bayesian component separation and power spectrum estimation for 21 cm intensity mapping data cubes

Geoff G. Murphy, Philip Bull, Mario G. Santos, Zheng Zhang, Steven Cunnington · 2026

Foreground removal remains an ongoing challenge in radio cosmology, and increasingly sensitive experiments necessitate more robust analysis techniques. In this work, we model simulated data from a sin…

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Physics Preprint PDF DOI

Probing Sub-GeV Dark Matter via Migdal Effect-Induced Electron Excitations

Felix Kahlhoefer, Liangliang Su · 2026

The electron ionization predicted by the Migdal effect in dark matter-nucleus scattering enhances experimental sensitivity to sub-GeV dark matter. In this work, we demonstrate that lower-energy electr…

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Physics Preprint PDF DOI

A Rare Eddington-Limited, Heavily Obscured Low-Mass Active Galactic Nucleus Likely Triggered by a Galaxy Merger

Shouyi Wang, Fan Zou, Chang-Hao Chen, W. N. Brandt, Elena Gallo, Bin Luo, Xue-Bing Wu, Yuming Fu, Dieu D. Nguyen, Shengxiu Sun · 2026

We report a detailed analysis of GAMA 376183, a powerful, heavily obscured active galactic nucleus (AGN) hosted by a low-mass galaxy ($M_\star \approx 10^{10}~M_{\odot}$) likely experiencing a galaxy …

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Physics Preprint PDF DOI

SRGA J115215.0$-$510656: an unusual long-period eclipsing dwarf nova with disc wind signatures

Nikita Rawat, David A. H. Buckley, John R. Thorstensen, Christian Knigge, Yusuke Tampo, Stephen B. Potter, Anupam Bhardwaj, Simone Scaringi, Ilya A. Mereminskiy, Jeewan C. Pandey, Srinivas M Rao, Alexander A. Lutovinov · 2026

We present the first detailed optical study of the cataclysmic variable SRGA J115215.0$-$510656, based on new time-resolved photometric and spectroscopic observations complemented by long-baseline Tra…

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Computer Science Preprint PDF DOI

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

Dongxin Guo, Jikun Wu, Siu Ming Yiu · 2026

Large reasoning models such as DeepSeek-R1 and OpenAI o1 generate extended chains of thought spanning thousands of tokens, yet their integration with retrieval-augmented generation (RAG) remains funda…

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Physics Preprint PDF DOI

The IACOB project: XVII. Nitrogen abundances in Galactic O-type stars: further hints for separating binary-interaction products from effectively single stars

C. Martinez-Sebastian, G. Holgado, S. Simon-Diaz, F. Martins, J. Puls · 2026

Context. Growing evidence is revealing the crucial role of binarity in massive star evolution. This affects evolution models and demands a refinement of the available observational constraints. Aims. …

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