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arXiv preprints from January 1, 2026 through September 22, 2026 — 01:04:03 EST

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Posted in nucl-th · 2026-01-16 · Ulf-G. Meißner, Bernard Ch. Metsch, Helen Meyer

Fine-tunings in radiative $α$-particle capture on $^{12}$C at astrophysical energies

We investigate the fine-tuning of radiative alpha-particle capture on carbon, $α(^{12}{\rm C},^{16}{\rm O})γ$, at astrophysical energies. Utilizing results from cluster effective field theory for this reaction, we find that the low-energy data of the astrophysical S-factor allow for only very small variations in the electromagnetic...

💬 0 commentsarXiv:2601.11180v2PDF
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Posted in cs.IT · 2026-01-16 · Noor Ul Ain, Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak

Performance Analysis of Cell-Free Massive MIMO under Imperfect LoS Phase Tracking

We study the impact of imperfect line-of-sight (LoS) phase tracking on the uplink performance of cell-free massive MIMO networks. Unlike prior works that assume perfectly known or completely unknown phases, we consider a realistic regime where LoS phases are estimated with residual uncertainty due to hardware impairments, mobility,...

💬 0 commentsarXiv:2601.11179v2PDF
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Posted in cs.AI · 2026-01-16 · Girish A. Koushik, Helen Treharne, Diptesh Kanojia

TANDEM: Temporal-Aware Neural Detection for Multimodal Hate Speech

Social media platforms are increasingly dominated by long-form multimodal content, where harmful narratives are constructed through a complex interplay of audio, visual, and textual cues. While automated systems can flag hate speech with high accuracy, they often function as "black boxes" that fail to provide the granular,...

💬 0 commentsarXiv:2601.11178v2PDF
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Posted in cond-mat.mtrl-sci · 2026-01-16 · Adonis Haxhijaj, Stefan Riemelmoser, Alfredo Pasquarello

Lattice dynamics and structural phase stability of group-IV elemental solids with the r$^2$SCAN functional

The strongly constrained and appropriately normed (SCAN) meta-generalized gradient approximation (meta-GGA) functional is a milestone achievement of electronic structure theory. Recently, a revised and restored form (r$^2$SCAN) has been suggested as a replacement for SCAN in high-throughput applications. Here, we assess the accuracy...

💬 0 commentsarXiv:2601.11177v2PDF
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Posted in cond-mat.mtrl-sci · 2026-01-16 · Qingchen Liu, Yixiang Gan

Mesoscale Modelling of Confined Split-Hopkinson Pressure Bar Tests on Concrete: Effects of Internal Damage and Strain Rates

The dynamic strength of concrete under complex loading conditions is a key consideration in the design and maintenance of infrastructures. To assess this mechanical property, Split Hopkinson Pressure Bar (SHPB) tests are typically adopted across a wide range of loading and confining conditions. In this study, mesoscale modelling based...

💬 0 commentsarXiv:2601.11176v1PDF
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Posted in cs.LG · 2026-01-16 · Nicolas Caron, Christophe Guyeux, Hassan Noura, Benjamin Aynes

Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis

Current state-of-the-art approaches to wildfire risk assessment often overlook operational needs, limiting their practical value for first responders and firefighting services. Effective wildfire management requires a multi-target analysis that captures the diverse dimensions of wildfire risk, including meteorological danger, ignition...

💬 0 commentsarXiv:2601.11686v1PDF
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Posted in cond-mat.supr-con · 2026-01-16 · Yue Xie, Zhilong Yang, Ruihan Zhang, Sheng Zhang, Quansheng Wu, Gang Wang, Hongming Weng, Zhong Fang, Xi Dai, Zhijun Wang

Majorana Zero Modes and Topological Nature in Bi2Ta3S6-family Superconductors

In this work, we report that Bi2Ta3S6-family superconductors exhibit nontrivial band topology. They possess a natural quantum-well structure consisting of alternating stacks of TaS2 and honeycomb Bi layers, which contribute superconducting and topological properties, respectively. Symmetry-based indicators...

💬 0 commentsarXiv:2601.11175v1PDF
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Posted in astro-ph.GA · 2026-01-16 · Xin Zeng, Yiping Ao, Ken Mawatari, Hideki Umehata

Deep Submillimeter and Radio Observations in the SSA22 Field. IV. Spectral Energy Distributions, Star Formation Histories, and the Infrared-Radio Correlation of the 850 $μ$m-selected SMGs

We analyze the spectral energy distributions (SEDs), star formation histories (SFHs), and infrared-radio correlation (IRRC) of 221 850 $μ$m-selected submillimeter galaxies (SMGs) in the SSA22 deep field. The median mass-weighted age is 567 Myr. Most galaxies in our sample began forming $\sim$ 1.68 Gyr after the Big Bang, entered the...

💬 0 commentsarXiv:2601.11174v2PDF
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Posted in cs.CR · 2026-01-16 · Sirui Shen, Zunchen Huang, Chenglu Jin

Proving Circuit Functional Equivalence in Zero Knowledge

The modern integrated circuit ecosystem is increasingly reliant on third-party intellectual property integration, which introduces security risks, including hardware Trojans and security vulnerabilities. Addressing the resulting trust deadlock between IP vendors and system integrators without exposing proprietary designs requires...

💬 0 commentsarXiv:2601.11173v2PDF
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Posted in math.NA · 2026-01-16 · Niklas Kolbe, Siegfried Müller, Aleksey Sikstel

Discontinuous Galerkin schemes for multi-dimensional coupled hyperbolic systems

A novel class of Runge-Kutta discontinuous Galerkin schemes for coupled systems of conservation laws in multiple space dimensions that are separated by a fixed sharp interface is introduced. The schemes are derived from a relaxation approach and a local projection and do not require expensive solutions of nonlinear half-Riemann...

💬 0 commentsarXiv:2601.11172v1PDF
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Posted in cs.HC · 2026-01-16 · Jules Wulms, Wouter Meulemans, Bettina Speckmann

Noisy Graph Patterns via Ordered Matrices

The high-level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard. (2) Real-world...

💬 0 commentsarXiv:2601.11171v2PDF
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Posted in cs.CL · 2026-01-16 · Taja Kuzman Pungeršek, Peter Rupnik, Vít Suchomel, Nikola Ljubešić

The Growing Gains and Pains of Iterative Web Corpora Crawling: Insights from South Slavic CLASSLA-web 2.0 Corpora

Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages. This approach has been recently used for South Slavic languages and resulted in the largest general corpora for this language group: the CLASSLA-web 1.0 corpora. Building on this success, we established a continuous...

💬 0 commentsarXiv:2601.11170v2PDF
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Posted in cs.CY · 2026-01-16 · Francesco Semeraro, Filip Bečanović, Maja Trumić, Kosta Jovanović, Angelo Cangelosi

How Do Technological Prototypes in the Food Industry Impact People's Perception? Insights from the MUSAE "GROW, COOK, CODE" Final Exhibition

This work reports the results of the survey carried out during the MUSAE final exhibition to assess its impact on people's perception of aspects like trust in technology, environmental challenges, eating habits and potential increase of mental and physical health while interacting with the technological prototypes exposed during the...

💬 0 commentsarXiv:2601.11169v1PDF
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Posted in math.RA · 2026-01-16 · Askar Dzhumadil'daev, Nurlan Ismailov

Null Lagrangians in free Novikov algebras

We study the symmetrization of the Novikov product. Using the embedding of a free Novikov algebra into a differential algebra over a field of characteristic zero and the Euler operators (variational derivatives), we show that the space of null Lagrangians coincides with the subspace of elements closed under the symmetrized product...

💬 0 commentsarXiv:2601.11168v1PDF
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Posted in cond-mat.mtrl-sci · 2026-01-16 · Yang Li, Chengzhi Wu, Xuelian Sun, Liangting Ye, Yirui Lu, Hai-Qing Lin, Wenhui Duan, Bing Huang

Two-dimensional Intrinsic Janus Structures: Design Principle and Anomalous Nonlinear Optics

Two-dimensional Janus structures have garnered rapidly growing attention across multidisciplinary fields. However, despite extensive theoretical and experimental efforts, a principle for designing intrinsic Janus materials remains elusive. Here, we propose a first-principles alloy theory based on cluster expansion, incorporating a...

💬 0 commentsarXiv:2601.11167v1PDF
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Posted in physics.optics · 2026-01-16 · Artem Shitikov, Tatiana Tebeneva, Oleg Benderov, Dmitry Mylnikov, Valery Lobanov, Dmitry Chermoshentsev, Igor Bilenko

Optical losses in pure crystalline silicon in the IR band measured using WGM microresonators

The need for semiconductor technology for crystalline silicon of the highest purity and homogeneity has provided samples exhibiting low optical absorption in the infrared range. Such silicon has become the basis for photonic elements in the telecommunication band, including high-Q microresonators, which are particularly important....

💬 0 commentsarXiv:2601.11166v1PDF
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Posted in math.FA · 2026-01-16 · T. Miura, T. Takahashi

Ring isomorphisms in norm between Banach algebras of continuous complex-valued functions

Let $X$ and $Y$ be compact Hausdorff spaces, and let $C(X)$ and $C(Y)$ denote the commutative Banach algebras of all continuous complex-valued functions on $X$ and $Y$, respectively. We study bijective maps $T$ from $C(X)$ onto $C(Y)$ which preserve the ring structure in the norm in the following sense: \[...

💬 0 commentsarXiv:2601.11165v1PDF
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Posted in cs.CV · 2026-01-16 · Ruibang Li, Guan Luo, Yiwei Zhang, Jin Gao, Bing Li, Weiming Hu

SoLA-Vision: Fine-grained Layer-wise Linear Softmax Hybrid Attention

Standard softmax self-attention excels in vision tasks but incurs quadratic complexity O(N^2), limiting high-resolution deployment. Linear attention reduces the cost to O(N), yet its compressed state representations can impair modeling capacity and accuracy. We present an analytical study that contrasts linear and softmax attention...

💬 0 commentsarXiv:2601.11164v1PDF
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Posted in eess.AS · 2026-01-16 · Zhuoyue Gao, Xiaohui Wang, Xiaocui Yang, Wen Zhang, Daling Wang, Shi Feng, Yifei Zhang

ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation

Empathetic speech dialogue requires not only understanding linguistic content but also perceiving rich paralinguistic information such as prosody, tone, and emotional intensity for affective understandings. Existing speech-to-speech large language models either rely on ASR transcription or use encoders to extract latent...

💬 0 commentsarXiv:2601.16225v1PDF
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Posted in cs.LG · 2026-01-16 · P. Sánchez, K. Reyes, B. Radu, E. Fernández

LSTM VS. Feed-Forward Autoencoders for Unsupervised Fault Detection in Hydraulic Pumps

Unplanned failures in industrial hydraulic pumps can halt production and incur substantial costs. We explore two unsupervised autoencoder (AE) schemes for early fault detection: a feed-forward model that analyses individual sensor snapshots and a Long Short-Term Memory (LSTM) model that captures short temporal windows. Both networks...

💬 0 commentsarXiv:2601.11163v1PDF
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Posted in math.PR · 2026-01-16 · Laurent Decreusefond, Antonin Jacquet

Rate of convergence of the conditioned random walk towards the Brownian bridge

We study the rate of convergence of two discrete processes towards the Brownian bridge: the random walk conditioned to be zero at time 2n and the empirical process which appears in the Glivencko-Cantelli theorem. Combining a functional Stein method with a Radon-Nikodym representation of the bridge, we bound the Fortet-Mourier distance...

💬 0 commentsarXiv:2601.11162v1PDF
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Posted in cs.LG · 2026-01-16 · Pascal Schlachter, Bin Yang

GMM-COMET: Continual Source-Free Universal Domain Adaptation via a Mean Teacher and Gaussian Mixture Model-Based Pseudo-Labeling

Unsupervised domain adaptation tackles the problem that domain shifts between training and test data impair the performance of neural networks in many real-world applications. Thereby, in realistic scenarios, the source data may no longer be available during adaptation, and the label space of the target domain may differ from the...

💬 0 commentsarXiv:2601.11161v1PDF
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Posted in cs.LG · 2026-01-16 · Claudia Plant, Lena G. M. Bauer, Christian Böhm

Clustering High-dimensional Data: Balancing Abstraction and Representation Tutorial at AAAI 2026

How to find a natural grouping of a large real data set? Clustering requires a balance between abstraction and representation. To identify clusters, we need to abstract from superfluous details of individual objects. But we also need a rich representation that emphasizes the key features shared by groups of objects that distinguish...

💬 0 commentsarXiv:2601.11160v1PDF
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Posted in cs.LG · 2026-01-16 · Yichun Yang, Longlong Lin, Rong-Hua Li, Meihao Liao, Guoren Wang

Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs

The computation of resistance distance is pivotal in a wide range of graph analysis applications, including graph clustering, link prediction, and graph neural networks. Despite its foundational importance, efficient algorithms for computing resistance distances on large graphs are still lacking. Existing state-of-the-art (SOTA)...

💬 0 commentsarXiv:2601.11159v1PDF
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Posted in cs.DM · 2026-01-16 · Indrajit Paul, Ashok Kumar Das

Vertex ordering characterizations of interval r-graphs

An r-partite graph is an interval r-graph if corresponding to each vertex we can assign an interval of the real line such that two vertices u and v of different partite sets are adjacent if and only if their corresponding intervals intersect. In this paper, we provide two vertex-ordering characterizations of interval r-graphs and...

💬 0 commentsarXiv:2601.11158v2PDF