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arXiv preprints from January 1, 2026 through September 28, 2026 — 08:53:15 EST

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Posted in cond-mat.stat-mech · 2026-01-03 · Satish Prajapati

A Unified Computational Framework for Two Dimensional Diffusion Limited Aggregation via Finite-Size Scaling, Multifractality, and Morphological Analysis

Diffusion-Limited Aggregation (DLA), the canonical model for non-equilibrium fractal growth, emerges from the simple rule of irreversible attachment by random walkers. Despite four decades of study, a unified computational framework reconciling its stochastic algorithm, universal fractal dimension, multifractal growth measure, and...

💬 0 commentsarXiv:2601.02417v1PDF
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Posted in cs.LG · 2026-01-03 · Anusree M, Akhila Henry, Pramod P Nair

Self-Training the Neurochaos Learning Algorithm

In numerous practical applications, acquiring substantial quantities of labelled data is challenging and expensive, but unlabelled data is readily accessible. Conventional supervised learning methods frequently underperform in scenarios characterised by little labelled data or imbalanced datasets. This study introduces a hybrid...

💬 0 commentsarXiv:2601.01146v1PDF
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Posted in math.RA · 2026-01-03 · Baojin Zhang, Liming Tang

Nilpotentizers and the Nilpotent Graphs: Structural Insights into Lie Superalgebras

In this paper, we systematically investigate the nilpotentizer and nilpotent graph for a Lie superalgebra over the field of characteristic not equal to 2. First, we establish some fundamental properties of the nilpotentizer. Next, we show that the nilpotent graph is one of the isomorphic invariants of Lie superalgebras. Furthermore,...

💬 0 commentsarXiv:2601.01145v2PDF
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Posted in cs.RO · 2026-01-03 · Shu Pan, Simon Archieri, Ahmet Cinar, Jonatan Scharff Willners, Ignacio Carlucho, Yvan Petillot

VISO: Robust Underwater Visual-Inertial-Sonar SLAM with Photometric Rendering for Dense 3D Reconstruction

Visual challenges in underwater environments significantly hinder the accuracy of vision-based localisation and the high-fidelity dense reconstruction. In this paper, we propose VISO, a robust underwater SLAM system that fuses a stereo camera, an inertial measurement unit (IMU), and a 3D sonar to achieve accurate 6-DoF localisation...

💬 0 commentsarXiv:2601.01144v2PDF
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Posted in cs.CL · 2026-01-03 · Peng Chen

KOS-TL (Knowledge Operation System Type Logic)

This paper introduces KOS-TL (Knowledge Operation System Type Logic), a novel constructive framework designed to provide a rigorous logical foundation for autonomous and executable knowledge systems. Traditional knowledge representation models often suffer from a gap between static symbolic logic and dynamic system execution. To...

💬 0 commentsarXiv:2601.01143v1PDF
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Posted in econ.GN · 2026-01-03 · Sicheng Fu

A dynamic factor semiparametric model for VaR and expected shortfall driven by realized measures

This paper proposes a semiparametric joint VaRES framework driven by realized information, mo tivated by the economic mechanisms underlying tail risk generation. Building on the CAViaR quantile recursion, the model introduces a dynamic ESVaR gap to capture time-varying tail sever ity, while measurement equations transform multiple...

💬 0 commentsarXiv:2601.01142v1PDF
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Posted in eess.IV · 2026-01-03 · Xingchen Li, Junzhe Zhang, Junqi Shi, Ming Lu, Zhan Ma

YODA: Yet Another One-step Diffusion-based Video Compressor

While one-step diffusion models have recently excelled in perceptual image compression, their application to video remains limited. Prior efforts typically rely on pretrained 2D autoencoders that generate per-frame latent representations independently, thereby neglecting temporal dependencies. We present YODA--Yet Another One-step...

💬 0 commentsarXiv:2601.01141v1PDF
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Posted in cond-mat.mtrl-sci · 2026-01-03 · Luis Elcoro, Jesus Etxebarria, J. Manuel Perez-Mato, Emre S. Tasci

Automatic calculation of symmetry-adapted tensors under spin-group symmetry. STENSOR, a new tool of the Bilbao Crystallographic Server

We present STENSOR, a new computational tool integrated into the Bilbao Crystallographic Server, designed for the automatic calculation of symmetry-adapted tensors under spin group symmetry. The program requires either a file containing the structural data of the magnetic compound or the generators of the oriented spin point group,...

💬 0 commentsarXiv:2601.01140v1PDF
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Posted in cs.RO · 2026-01-03 · Sriram Rajasekar, Ashwini Ratnoo

Latent Space Reinforcement Learning for Multi-Robot Exploration

Autonomous mapping of unknown environments is a critical challenge, particularly in scenarios where time is limited. Multi-agent systems can enhance efficiency through collaboration, but the scalability of motion-planning algorithms remains a key limitation. Reinforcement learning has been explored as a solution, but existing...

💬 0 commentsarXiv:2601.01139v1PDF
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Posted in astro-ph.GA · 2026-01-03 · Ameya Uday Nagdeo, Sharanya Sur, Bhargav Vaidya

Fluctuation dynamos in supersonic turbulence at ${\rm Pm} \gtrsim 1$

Fluctuation dynamos provide a robust mechanism for amplifying weak seed magnetic fields in turbulent astrophysical plasmas. However, their behaviour in the highly compressible regimes characteristic of the interstellar medium remains incompletely understood. Using high-resolution 3D magnetohydrodynamic simulations of supersonic...

💬 0 commentsarXiv:2601.01138v2PDF
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Posted in cs.IT · 2026-01-03 · Mohammad Rowshan

Single-Shot and Few-Shot Decoding via Stabilizer Redundancy in Bivariate Bicycle Codes

Bivariate bicycle (BB) codes are a prominent class of quantum LDPC codes constructed from group algebras. While the logical dimension and quantum distance of \emph{coprime} BB codes are known to be determined by a greatest common divisor polynomial $g(z)$, the properties governing their fault tolerance under noisy measurement have...

💬 0 commentsarXiv:2601.01137v1PDF
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Posted in gr-qc · 2026-01-03 · G. G. L. Nashed, A. Eid

Primordial Black Hole Formation in $f(R)=R+αR^2$ Gravity: Perturbative and Non-Perturbative Analysis

We present a complete analytic and semi-analytic study of gravitational collapse and primordial black hole (PBH) formation in the quadratic $f(R)$ model $f(R)=R+αR^2$. We first derive the perturbative expansion around General Relativity (GR), working to first order in the small parameter $α$. For a collapsing flat FLRW dust interior...

💬 0 commentsarXiv:2601.02416v2PDF
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Posted in quant-ph · 2026-01-03 · Guoping Zhang

The Completeness of Eigenstates in Quantum Mechanics

We delineate the scope of research on the completeness of eigenstates in quantum mechanics. Based on the limit of the potential function at infinity, the proof of completeness is divided into eight cases, and theoretical proofs or numerical simulations are provided for each case. We present the definition of orthonormalization for...

💬 0 commentsarXiv:2601.01136v2PDF
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Posted in physics.chem-ph · 2026-01-03 · Ke Zhou

Ion Clustering Regulated by Extreme Nanoconfinement Enables Mechanosensitive Nanochannels

Mechanosensitive ion nanochannels regulate transport by undergoing conformational changes within nanopores. However, achieving precise control over these conformational states remains a major challenge for both artificial soft or solid pores. Here, we propose an alternative mechanism that modulates the charge carrier density inside...

💬 0 commentsarXiv:2601.01135v1PDF
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Posted in cs.CR · 2026-01-03 · Maryam Mahdi Alhusseini, Alireza Rouhi, Mohammad-Reza Feizi-Derakhshi

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization

Cybersecurity poses considerable problems to Cloud Computing (CC), especially regarding Intrusion Detection Systems (IDSs), facing difficulties with skewed datasets and suboptimal classification model performance. This study presents the Hybrid Intrusion Detection System (HyIDS), an innovative IDS that employs the Energy Valley...

💬 0 commentsarXiv:2601.01134v1PDF
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Posted in math.GR · 2026-01-03 · Xuanlong Ma, Samir Zahirović, Katarina Žigerović

The diameter and dominating sets of the difference graph of a nilpotent group

Given a finite group $G$, the difference graph of $G$, denoted by $\mathcal{D}(G)$, is the difference of the enhanced power graph of $G$ and the power graph of $G$, with all isolated vertices removed. This paper mainly studies the dominating sets of the difference graph of a finite group. In particular, we prove that the diameter of...

💬 0 commentsarXiv:2601.01133v1PDF
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Posted in cs.CG · 2026-01-03 · Hao-Tsung Yang, Ssu-Yuan Lo, Kuan-Lun Chen, Ching-Kai Wang

Generating Diverse TSP Tours via a Combination of Graph Pointer Network and Dispersion

We address the Diverse Traveling Salesman Problem (D-TSP), a bi-criteria optimization challenge that seeks a set of $k$ distinct TSP tours. The objective requires every selected tour to have a length at most $c|T^*|$ (where $|T^*|$ is the optimal tour length) while minimizing the average Jaccard similarity across all tour pairs. This...

💬 0 commentsarXiv:2601.01132v2PDF
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Posted in eess.SY · 2026-01-03 · Ridma Ganganath, Simone Servadio, David Daeyoung Lee

Compensating Star-Trackers Misalignments with Adaptive Multi-Model Estimation

This paper presents an adaptive multi-model framework for jointly estimating spacecraft attitude and star-tracker misalignments in GPS-denied deep-space CubeSat missions. A Multiplicative Extended Kalman Filter (MEKF) estimates attitude, angular velocity, and gyro bias, while a Bayesian Multiple-Model Adaptive Estimation (MMAE) layer...

💬 0 commentsarXiv:2601.01130v1PDF
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Posted in cs.SE · 2026-01-03 · Kla Tantithamthavorn, Yaotian Zou, Andy Wong, Michael Gupta, Zhe Wang, Mike Buller, Ryan Jiang, Matthew Watson, Minwoo Jeong, Kun Chen, Ming Wu

RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian

Large Language Models (LLMs)-powered code review automation has the potential to transform code review workflows. Despite the advances of LLM-powered code review comment generation approaches, several practical challenges remain for designing enterprise-grade code review automation tools. In particular, this paper aims at answering...

💬 0 commentsarXiv:2601.01129v2PDF
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Posted in math-ph · 2026-01-03 · Christopher D. Sinclair

Exact Solvability via the KP Hierarchy for $β=L^2$ Random Matrix Ensembles

Random matrix ensembles with Dyson index $β=L^{2}$ describe systems of $M$ charge-$L$ particles interacting logarithmically in the presence of an external potential, yet exact formulas for their physical observables have remained elusive for $L\neq 1,2$. We show that, for $L$ even, $β=L^{2}$ ensembles are governed by the KP hierarchy...

💬 0 commentsarXiv:2601.01304v1PDF
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Posted in cs.CY · 2026-01-03 · Michael Smith, Riley Grossman, Antonio Torres-Aguero, Pritam Sen, Cristian Borcea, Yi Chen

Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services

This study examines inconsistencies in the brand safety classifications of online news articles by analyzing ratings from three leading brand safety providers, DoubleVerify, Integral Ad Science, and Oracle. We focus on news content because of its central role in public discourse and the significant financial consequences of unsafe...

💬 0 commentsarXiv:2601.01303v1PDF
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Posted in eess.SY · 2026-01-03 · Pouria Sarhadi

Simple yet Effective Anti-windup Techniques for Amplitude and Rate Saturation: An Autonomous Underwater Vehicle Case Study

Actuator amplitude and rate saturation (A\&RSat), together with their consequent windup problem, have long been recognised as challenges in control systems. Anti-windup (AW) solutions have been developed over the past decades, which can generally be categorised into two main groups: classical and modern anti-windup (CAW and MAW)...

💬 0 commentsarXiv:2601.01302v2PDF
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Posted in cs.AI · 2026-01-03 · Keith Frankston, Benjamin Howard

Accelerating Monte-Carlo Tree Search with Optimized Posterior Policies

We introduce a recursive AlphaZero-style Monte--Carlo tree search algorithm, "RMCTS". The advantage of RMCTS over AlphaZero's MCTS-UCB is speed. In RMCTS, the search tree is explored in a breadth-first manner, so that network inferences naturally occur in large batches. This significantly reduces the GPU latency cost. We find that...

💬 0 commentsarXiv:2601.01301v2PDF
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Posted in cond-mat.supr-con · 2026-01-03 · Md. Hasan Shahriar Rifat, Mirza Humaun Kabir Rubel, Md. Borhan Uddin, Apon Kumar Datta, Md. Mijanur Rahaman, Jubair Hossan Abir

Exploring the Thermodynamic, Elastic, and Optical properties of LaRh2X2 (X = Al, Ga, In) low Tc Superconductors through First-Principles Calculations

LaRh2X2 (X = Al, Ga, In) compounds crystallize in a tetragonal layered ThCr2Si2-type structure and belong to a family of low critical temperature superconductors. Using first-principles density functional theory calculations implemented in the CASTEP code, we systematically investigated their structural, mechanical, elastic,...

💬 0 commentsarXiv:2601.01300v2PDF