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Computer Science Preprint PDF DOI

Unified 5G-IoT Framework with CAMARA Gateways and SDN Federation

Zihan Jia, Ze Wang, Chen Chen, Ziren Xiao, Fung Po Tso · 2026

The convergence of 5G and IoT enables fully connected, intelligent environments, but it faces challenges from the fragmentation of public/private 5G networks and the heterogeneity of IoT networks. We …

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Mathematics Preprint PDF DOI

Thermodynamically Constrained Information Geometric Regularization for Compressible Flows

Seth Taylor, Raymond J. Spiteri, Stephane Gaudreault · 2026

We construct and analyze a thermodynamic extension of the recently proposed information geometric regularization of Cao and Sch\"afer. The construction extends their shock-mitigating Hessian metric ge…

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AI & Data Science Preprint PDF DOI

AMAVA: Adaptive Motion-Aware Video-to-Audio Framework for Visually-Impaired Assistance

Benjamin Klein, Kazi Ruslan Rahman, Sanchita Ghose · 2026

Navigational aids for blind and low vision individuals struggle conveying dynamic real-world environments, leading to cognitive overload from continuous, undifferentiated feedback. We present AMAVA, a…

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Mathematics Preprint PDF DOI

Natural Riemannian gradient for learning functional tensor networks

Nikolas Klug, Michael Ulbrich, Andre Uschmajew, Marius Willner · 2026

We consider machine learning tasks with low-rank functional tree tensor networks (TTN) as the learning model. While in the case of least-squares regression, low-rank functional TTNs can be efficiently…

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AI & Data Science Preprint PDF DOI

Plateaus, Optima, and Overfitting in Multi-Layer Perceptrons: A Saddle-Saddle-Attractor Scenario

Alex Ali Maleknia, Yuzuru Sato · 2026

Vanishing gradients and overfitting are central problems in machine learning, yet are typically analyzed in asymptotic regimes that obscure their dynamical origins. Here we provide a dynamical descrip…

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Physics Preprint PDF DOI

First results of AMBRA: Abundant Seeds and Early Mergers as a Pathway to the First Massive Black Holes

Yihao Zhou, Aklant Kumar Bhowmick, Tiziana Di Matteo, Patrick LaChance, Rupert Croft, Laura Blecha, Simeon Bird, Paul Torrey, Lars Hernquist · 2026

AMBRA combines the large cosmological volume and statistical power of ASTRID with the physically motivated gas-based black hole seeding models from BRAHMA. Motivated by JWST's discoveries of massive b…

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Mathematics Preprint PDF DOI

Gradient systems and asymmetric relaxations in view of Riemannian geometry

Alessandro Bravetti, Miguel Angel Garcia Ariza, Jose Roberto Romero-Arias · 2026

In dually flat manifolds, there is a deep connection between gradient flows and pregeodesics. This was one of the many important contributions of Amari to information geometry. In this paper, we exten…

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Mathematics Preprint PDF DOI

On flat shadow boundaries from point light sources and the characterization of ellipsoids

Bart{l}omiej Zawalski · 2026

In his classical work, W. Blaschke proved that a convex body whose shadow boundaries are flat for every direction of parallel illumination must be an ellipsoid. An extension recently proposed by I. Go…

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Mathematics Preprint PDF DOI

On associative neural networks for sparse patterns with huge capacities

Matthias Lowe, Franck Vermet · 2026

Generalized Hopfield models with higher-order or exponential interaction terms are known to have substantially larger storage capacities than the classical quadratic model. On the other hand, asso…

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AI & Data Science Preprint PDF DOI

ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture

Seth Dobrin, Lukasz Chmiel · 2026

This paper presents ARYA, a composable, physics-constrained, deterministic world model architecture built on five foundational principles: nano models, composability, causal reasoning, determinism, an…

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AI & Data Science Preprint PDF DOI

ALARA for Agents: Least-Privilege Context Engineering Through Portable Composable Multi-Agent Teams

Christopher J. Agostino, Nayan D'Souza · 2026

Industry practitioners and academic researchers regularly use multi-agent systems to accelerate their work, yet the frameworks through which these systems operate do not provide a simple, unified mech…

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Mathematics Preprint PDF DOI

Information Geometry via the Q-Root Transform

Levin Maier · 2026

In this paper, we introduce \emph{$\ell^p$-information geometry}, an infinite-dimensional framework that shares key features with the geometry of the space of probability densities \( \mathrm{Dens}(M)…

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Physics Preprint PDF DOI

Local kinetic sensors for adaptive mesh and algorithm refinement

R. M. Strassle, S. A. Hosseini, I. V. Karlin · 2026

This paper presents novel refinement sensors for the application to adaptive mesh and algorithm refinement (AMAR) with kinetic models, such as discrete velocity and lattice Boltzmann methods. While re…

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Physics Preprint PDF DOI

Kinematics of Single-Winged Spinning Seeds: A Study on Mahogany and Buddha Coconut Samaras

Yogeshwaran G, Srisha M.V. Rao, Jagadeesh G · 2026

This study investigates the steady-state kinematics of single-winged spinning samaras and re-evaluates the simplifying assumptions commonly used in existing theoretical models. High-speed imaging was …

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AI & Data Science Preprint PDF DOI

DRIV-EX: Counterfactual Explanations for Driving LLMs

Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Eric Gaussier · 2026

Large language models (LLMs) are increasingly used as reasoning engines in autonomous driving, yet their decision-making remains opaque. We propose to study their decision process through counterfactu…

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Computer Science Preprint PDF DOI

Handling Exceptions and Effects with Automatic Resource Analysis

Ethan Chu, Yiyang Guo, Jan Hoffmann · 2026

There exist many techniques for automatically deriving parametric resource (or cost) bounds by analyzing the source code of a program. These techniques work effectively for a large class of programs a…

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Computer Science Preprint PDF DOI

A Critical Reflection on the Values and Assumptions in Data Visualization

Shehryar Saharan, Ibrahim Al-Hazwani, Miriah Meyer, Laura Garrison · 2026

Visualization has matured into an established research field, producing widely adopted tools, design frameworks, and empirical foundations. As the field has grown, ideas from outside computer science …

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AI & Data Science Preprint PDF DOI

Adaptive Multi-Scale Channel-Spatial Attention Aggregation Framework for 3D Indoor Semantic Scene Completion Toward Assisting Visually Impaired

Qi He, XiangXiang Wang, Jingtao Zhang, Yongbin Yu, Hongxiang Chu, Manping Fan, JingYe Cai, Zhenglin Yang · 2026

Independent indoor mobility remains a critical challenge for individuals with visual impairments, largely due to the limited capability of existing assistive systems in detecting fine-grained hazardou…

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AI & Data Science Preprint PDF DOI

MARADONER: Motif Activity Response Analysis Done Right

Georgy Meshcheryakov, Andrey I. Buyan · 2026

Inferring the activities of transcription factors from high-throughput transcriptomic or open chromatin profiling, such as RNA-/CAGE-/ATAC-Seq, is a long-standing challenge in systems biology. Identif…

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AI & Data Science Preprint PDF DOI

MARA: Continuous SE(3)-Equivariant Attention for Molecular Force Fields

Francesco Leonardi, Boris Bonev, Kaspar Riesen · 2026

Machine learning force fields (MLFFs) have become essential for accurate and efficient atomistic modeling. Despite their high accuracy, most existing approaches rely on fixed angular expansions, limit…

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