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Computer Science Preprint PDF DOI

AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems

Behnaz Ranjbar, Akash Kumar · 2026

In Mixed-Criticality (MC) systems, although the high Worst-Case Execution Time (WCET) serves as a conservative upper bound representing the task's maximum execution time under all conditions, obtainin…

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Mathematics Preprint PDF DOI

A colimit decomposition for the loop homology of polyhedral products

Lewis Stanton, Fedor Vylegzhanin · 2026

We show that the loop homology algebras of polyhedral products of the form $(\underline{X},\underline{*})^{\mathcal{K}}$ can be written as a colimit over the flagification of $\mathcal{K}$, and obtain…

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Physics Preprint PDF DOI

Coulomb Effects and Wigner-SU(4) Symmetry in He-3 Charge and Magnetic Properties

Xincheng Lin · 2026

This work studies the non-perturbative Coulomb corrections to the He-3 binding energy, magnetic moment, and charge and magnetic radii in leading-order (LO) Pionless Effective Field Theory (Pionless EF…

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Mathematics Preprint PDF DOI

Sharp pathwise nonuniqueness for additive SDEs

Elias Hess-Childs, Keefer Rowan · 2026

We construct a family of velocity fields demonstrating the sharpness of the classical Zvonkin--Veretennikov--Davie strong well-posedness by noise regime. We consider stochastic differential equations …

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Medicine & Health Preprint PDF DOI

Benchmarking Open-Source FDK Against Commercial and Iterative Reconstruction Methods for Preclinical Micro-CBCT

Falk L Wiegmann, Nancy L Ford · 2026

Preclinical micro-CT reconstruction involves large projection sizes and volumes that make iterative methods costly - 5x to 50x slower than analytic alternatives on modern GPUs. Whether this cost is ju…

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Earth & Environmental Sciences Preprint PDF DOI

A Machine Learning Approach to Meteor Classification

Samantha Hemmelgarn, Nicholas Moskovitz, Denis Vida · 2026

We use machine learning to develop a framework for classifying meteoroids based on 13 directly observed parameters from the Global Meteor Network. This method adds depth to the $K_{b}$ parameter, whic…

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Physics Preprint PDF DOI

Meshless $h$-adaptive Solution for non-Newtonian Natural Convection in a Differentially Heated Cavity

Miha Rot, Gregor Kosec · 2026

One of the main challenges in numerically solving partial differential equations is finding a discretisation for the computational domain that balances the accurate representation of the underlying fi…

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Physics Preprint PDF DOI

Pulse Shaping for Superconducting Qubits

Animesh Patra, Ankur Raina · 2026

High-fidelity control of superconducting qubits requires carefully shaped microwave pulses that account for multiple error channels. In this work, we present a pedagogical introduction to pulse-shapin…

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AI & Data Science Preprint PDF DOI

Spectral Embeddings Leak Graph Topology: Theory, Benchmark, and Adaptive Reconstruction

Thinh Nguyen-Cong, Truong-Son Hy, Thang N. Dinh · 2026

Graph Neural Networks (GNNs) excel on relational data, but standard benchmarks unrealistically assume the graph is centrally available. In practice, settings such as Federated Graph Learning, distribu…

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Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton · 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical metho…

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Computer Science Preprint PDF DOI

Analysis of AWW (Anganwadi Workers) Training Content, ILA (Incremental Learning Approach) Modules Following CDT (Component Display Theory)

Arka Majhi, Satish B. Agnihotri · 2026

POSHAN Abhiyan envisages capacity building of AWWs or frontline health workers through 21 training modules of ILA (Incremental Learning Approach), modularising the net learning content into smaller le…

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Mathematics Preprint PDF DOI

The Steklov spectrum of convex polygonal domains II: investigating spectral determination

Emily B. Dryden, Carolyn Gordon, Javier Moreno, Julie Rowlett, Carlos Villegas-Blas · 2026

The extent to which the geometry of an object is determined by some associated spectral data is a longstanding problem. We investigate this problem in the context of the Steklov spectrum, focusing on …

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Engineering Preprint PDF DOI

Multiscale Structural Reliability Analysis in high dimensions with Tensor Trains and Physics-Augmented Neural Networks

Aryan Tyagi, Alex de Beer, Tiangang Cui, Jan N. Fuhg · 2026

Structural reliability evaluation for composites constitutes a fundamentally high-dimensional multiscale problem, as microscale material uncertainties must propagate to the macroscale and can be quant…

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Economics & Finance Preprint PDF DOI

Contagion or Macroeconomic Fluctuations? Identifiability in Aggregated Default Data

Shintaro Mori · 2026

Can contagion be inferred from aggregated default data? We study this as a problem of identifiability, asking whether contagion generates components in default count distributions that remain distinct…

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AI & Data Science Preprint PDF DOI

GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos

Deepak Kumar, Abhishek Pratap Singh, Puneet Kumar, Xiaobai Li, Balasubramanian Raman · 2026

Understanding affective dynamics in real-world social systems is fundamental to modeling and analyzing human-human interactions in complex environments. Group affect emerges from intertwined human-hum…

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Mathematics Preprint PDF DOI

Extrapolation of max-stable random fields with Fr\'echet marginals

Vitalii Makogin, Evgeny Spodarev, Ilja Sukhanov · 2026

We propose a method for the prediction of stationary max--stable random fields with $\alpha$-Fr\'echet marginal distribution $H_\alpha$. The method is suitable to cope with heavy tails for $\alpha\in(…

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Mathematics Preprint PDF DOI

Algebraic redshift in the $C_2$-equivariant Adams spectral sequence

Paul Shick · 2026

We study $v_n$-periodic phenomena in $C_2$-equivariant stable homotopy through the lens of the $C_2$-equivariant Adams spectral sequence at the prime 2. In particular, we construct/detect certain clas…

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Mathematics Preprint PDF DOI

Remarks on Topological Rigidity of Real Moment-Angle Manifolds

Ioannis Gkeneralis · 2026

We study topological rigidity of real moment-angle manifolds associated to flag simplicial complexes. Using the cubical geometry arising from the Davis construction, we identify the universal cover wi…

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Physics Preprint PDF DOI

Perturbative calculations of light nuclei up to N$^3$LO in chiral effective field theory

Oliver Thim, Andreas Ekstrom, Christian Forssen · 2026

We predict ground-state energies of $^3$H, $^4$He, and $^6$Li in chiral effective field theory up to next-to-next-to-next-to-leading-order (N$^3$LO) using a power counting guided by renormalization-gr…

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Computer Science Preprint PDF DOI

AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction

Zixuan Chen, Depeng Wang, Hao Lin, Li Luo, Ke Xu, Ya Guo, Huijia Zhu, Tanfeng Sun, Xinghao Jiang · 2026

We present AVID, the first large-scale benchmark for audio-visual inconsistency understanding in videos. While omni-modal large language models excel at temporally aligned tasks such as captioning and…

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