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arXiv preprints from January 1, 2026 through July 20, 2026 — 09:10:46 EST

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Posted in cs.LG · 2026-01-21 · Mingyue Cheng, Xiaoyu Tao, Huajian Zhang, Qi Liu, Zhiding Liu, Yucong Luo, Yiheng Chen, Enhong Chen

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement

Most existing time series classification methods adopt a discriminative paradigm that maps input sequences directly to one-hot encoded class labels. While effective, this paradigm struggles to incorporate contextual features and fails to capture semantic relationships among classes. To address these limitations, we propose...

💬 0 commentsarXiv:2601.14968v2PDF
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Posted in hep-lat · 2026-01-21 · Heng-Tong Ding, Hai-Tao Shu, Cheng Zhang

Shear and bulk viscosities of the gluon plasma across the transition temperature from lattice QCD

We investigate the temperature dependence of the shear viscosity ($η$) and bulk viscosity ($ζ$) of the gluon plasma using lattice QCD over the range 0.76--2.25$\,T_c$, extending from below the transition temperature $T_c$ across the transition region and into the deconfined phase. At each temperature, we employ three large, fine...

💬 0 commentsarXiv:2601.14967v2PDF
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Posted in hep-ph · 2026-01-21 · Sagar Airen, Roberto Franceschini

Top quark FCNC in Randall-Sundrum models: post-LHC allowed rates and searches at $e^+e^-$ and $μ^+ μ^-$ colliders

We present the sensitivity to Flavor Changing Neutral Currents (FCNC) in interactions involving the top quark at future $e^+e^-$ and $μ^+μ^-$ machines. We consider the $Ztc$ vertex as well as four-fermion contact interactions involving top and charm quarks. To incorporate limits from (HL-)LHC we consider FCNC from Randall-Sundrum...

💬 0 commentsarXiv:2601.14966v1PDF
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Posted in cs.CE · 2026-01-21 · Moritz Flaschel, Miguel Angel Moreno-Mateos, Simon Wiesheier, Paul Steinmann, Ellen Kuhl

Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements

Material Fingerprinting is a lookup table-based strategy to discover material models from experimental measurements, which completely avoids the need to solve an optimization problem. In an offline phase, a comprehensive database of simulated material responses, so-called material fingerprints, is generated for a predefined...

💬 0 commentsarXiv:2601.14965v1PDF
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Posted in quant-ph · 2026-01-21 · Robert Amelung, Hanno Sahlmann

Multipartite entanglement in the quantum tetrahedron

The space $\mathrm{Inv}(j_1,j_2,j_3,j_4)$ of SU(2)-invariant four-valent tensors, also known as intertwiners, can be understood as the quantum states of a tetrahedron in Euclidean space with fixed areas. In loop quantum gravity, they are states of the smallest "atom of space" with non-zero volume. At the same time they correspond to...

💬 0 commentsarXiv:2601.14964v1PDF
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Posted in quant-ph · 2026-01-21 · Devashish Pandey, Corne Koks, Martijn Wubs, Nicolas Stenger, Jake Iles-Smith

Resonant Excitation Induced Vibronic Mollow Triplets

The Mollow triplet is the definitive spectral signature of an optically dressed quantum emitter. We predict that for emitters coupled to localized phonons, this signature is not confined to the zero-phonon line. Under a strong resonant drive, we show that Mollow triplets are strikingly replicated on the associated phonon sidebands -a...

💬 0 commentsarXiv:2601.14963v1PDF
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Posted in physics.ed-ph · 2026-01-21 · C. J. A. P. Martins

How to Improve Portuguese Secondary Education

I share some personal thoughts on the status of Portuguese secondary education in general, and of the physics part thereof in particular, drawn from several decades of experience of organizing training activities for students and school teachers, as well as several hundred visits to secondary schools and similar numbers of interviews...

💬 0 commentsarXiv:2601.14962v1PDF
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Posted in q-bio.NC · 2026-01-21 · Zhengdi Zhang, Cong Han, Wenjun Xia

Power-Law Scaling in the Classification Performance of Small-Scale Spiking Neural Networks

This paper investigates the classification capability of small-scale spiking neural networks based on the Leaky Integrate-and-Fire (LIF) neuron model. We analyze the relationship between classification accuracy and three factors: the number of neurons, the number of stimulus nodes, and the number of classification categories. Notably,...

💬 0 commentsarXiv:2601.14961v2PDF
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Posted in cs.SD · 2026-01-21 · Florian Grötschla, Arunasish Sen, Alessandro Lombardi, Guillermo Cámbara, Andreas Schwarz

VCNAC: A Variable-Channel Neural Audio Codec for Mono, Stereo, and Surround Sound

We present VCNAC, a variable channel neural audio codec. Our approach features a single encoder and decoder parametrization that enables native inference for different channel setups, from mono speech to cinematic 5.1 channel surround audio. Channel compatibility objectives ensure that multi-channel content maintains perceptual...

💬 0 commentsarXiv:2601.14960v1PDF
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Posted in cs.CV · 2026-01-21 · Xinyu Peng, Han Li, Yuyang Huang, Ziyang Zheng, Yaoming Wang, Xin Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers

Existing video frame interpolation (VFI) methods often adopt a frame-centric approach, processing videos as independent short segments (e.g., triplets), which leads to temporal inconsistencies and motion artifacts. To overcome this, we propose a holistic, video-centric paradigm named Local Diffusion Forcing for Video Frame...

💬 0 commentsarXiv:2601.14959v2PDF
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Posted in cs.CL · 2026-01-21 · Minuri Rajapakse, Ruvan Weerasinghe

Script Sensitivity: Benchmarking Language Models on Unicode, Romanized and Mixed-Script Sinhala

The performance of Language Models (LMs) on low-resource, morphologically rich languages like Sinhala remains largely unexplored, particularly regarding script variation in digital communication. Sinhala exhibits script duality, with Unicode used in formal contexts and Romanized text dominating social media, while mixed-script usage...

💬 0 commentsarXiv:2601.14958v3PDF
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Posted in cs.LG · 2026-01-21 · Harry Mead, Bruno Lacerda, Jakob Foerster, Nick Hawes

Improving Regret Approximation for Unsupervised Dynamic Environment Generation

Unsupervised Environment Design (UED) seeks to automatically generate training curricula for reinforcement learning (RL) agents, with the goal of improving generalisation and zero-shot performance. However, designing effective curricula remains a difficult problem, particularly in settings where small subsets of environment...

💬 0 commentsarXiv:2601.14957v1PDF
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Posted in cond-mat.mtrl-sci · 2026-01-21 · Ziyan Qian, Guangwu Zhang, Weikun Zhou, Tsukasa Katayama, Qiye Zheng

Bending strain induced thermal conductivity suppression in freestanding BaTiO3 and SrTiO3 membranes

Freestanding perovskite oxide membranes provide a novel platform for elastic strain engineering, enabling the manipulation of phonon transport free from substrate clamping. In this work, we investigate the thermal transport properties of strontium titanate (SrTiO3) and barium titanate (BaTiO3) membranes subjected to self-formed crease...

💬 0 commentsarXiv:2601.14956v2PDF
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Posted in cs.AI · 2026-01-21 · Hanqi Jin, Gaoming Yang, Zhangming Chan, Yapeng Yuan, Longbin Li, Fei Sun, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng

Multi-Behavior Sequential Modeling with Transition-Aware Graph Attention Network for E-Commerce Recommendation

User interactions on e-commerce platforms are inherently diverse, involving behaviors such as clicking, favoriting, adding to cart, and purchasing. The transitions between these behaviors offer valuable insights into user-item interactions, serving as a key signal for understanding evolving preferences. Consequently, there is growing...

💬 0 commentsarXiv:2601.14955v1PDF
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Posted in cs.LG · 2026-01-21 · Han Li, Hua Sun

Multimodal rumor detection enhanced by external evidence and forgery features

Social media increasingly disseminates information through mixed image text posts, but rumors often exploit subtle inconsistencies and forged content, making detection based solely on post content difficult. Deep semantic mismatch rumors, which superficially align images and texts, pose particular challenges and threaten online public...

💬 0 commentsarXiv:2601.14954v3PDF
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Posted in eess.SP · 2026-01-21 · Advaith Arun, Shiv Shankar, Dhivagar Baskaran, Klutto Milleth, Bhaskar Ramamurthi

Deep Learning assisted Port-Cycling based Channel Sounding for Precoder Estimation in Massive MIMO Arrays

Future wireless systems are expected to employ a substantially larger number of transmit ports for channel state information (CSI) estimation compared to current specifications. Although scaling ports improves spectral efficiency, it also increases the resource overhead to transmit reference signals across the time-frequency grid,...

💬 0 commentsarXiv:2601.14953v2PDF
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Posted in cs.CL · 2026-01-21 · Zhiyuan Lu, Chenliang Li, Yingcheng Shi, Weizhou Shen, Ming Yan, Fei Huang

CorpusQA: A 10 Million Token Benchmark for Corpus-Level Analysis and Reasoning

While large language models now handle million-token contexts, their capacity for reasoning across entire document repositories remains largely untested. Existing benchmarks are inadequate, as they are mostly limited to single long texts or rely on a "sparse retrieval" assumption-that answers can be derived from a few relevant chunks....

💬 0 commentsarXiv:2601.14952v2PDF
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Posted in cs.CV · 2026-01-21 · Carolin Holtermann, Nina Krebs, Anne Lauscher

TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models

Time alters the visual appearance of entities in our world, like objects, places, and animals. Thus, for accurately generating contextually-relevant images, knowledge and reasoning about time can be crucial (e.g., for generating a landscape in spring vs. in winter). Yet, although substantial work exists on understanding and improving...

💬 0 commentsarXiv:2601.14951v1PDF
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Posted in cs.CV · 2026-01-21 · Yufei Song, Ziqi Zhou, Menghao Deng, Yifan Hu, Shengshan Hu, Minghui Li, Leo Yu Zhang

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness

Existing segmentation models exhibit significant vulnerability to adversarial attacks.To improve robustness, adversarial training incorporates adversarial examples into model training. However, existing attack methods consider only global semantic information and ignore contextual semantic relationships within the samples, limiting...

💬 0 commentsarXiv:2601.14950v1PDF
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Posted in cs.IR · 2026-01-21 · Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu

What Should I Cite? A RAG Benchmark for Academic Citation Prediction

With the rapid growth of Web-based academic publications, more and more papers are being published annually, making it increasingly difficult to find relevant prior work. Citation prediction aims to automatically suggest appropriate references, helping scholars navigate the expanding scientific literature. Here we present...

💬 0 commentsarXiv:2601.14949v2PDF
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Posted in astro-ph.SR · 2026-01-21 · Sourav Palit, Subhajit Bhattacharyya, Taraknath Bera, Sandip K. Chakrabarti

Numerical study of multiple solar flare induced modulation of Very Low Frequency (VLF) diurnal profile

Earth's ionosphere is a perpetual detector of ionizing radiation received from celestial objects, particularly the Sun. Solar ionizing radiation in the form of extreme ultraviolet (EUV) and X-rays during both quiet and active phase of the Sun, and charged particles associated with a solar wind imprint their ionization signatures on...

💬 0 commentsarXiv:2601.14948v1PDF
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Posted in math.ST · 2026-01-21 · Giacomo Francisci, Claudio Agostinelli

Central subspace data depth

Statistical data depth plays an important role in the analysis of multivariate data sets. The main outcome is a center-outward ordering of the observations that can be used both to highlight features of the underlying distribution of the data and as input to further statistical analysis. An important property of data depth is related...

💬 0 commentsarXiv:2601.14947v2PDF
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Posted in cs.CV · 2026-01-21 · Shuhao Que, Dieuwke van Dartel, Ilse Heeringa, Han Hegeman, Miriam Vollenbroek-Hutten, Ying Wang

Synthetic Data Guided Feature Selection for Robust Activity Recognition in Older Adults

Physical activity during hip fracture rehabilitation is essential for mitigating long-term functional decline in geriatric patients. However, it is rarely quantified in clinical practice. Existing continuous monitoring systems with commercially available wearable activity trackers are typically developed in middle-aged adults and...

💬 0 commentsarXiv:2601.17053v2PDF
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Posted in math.MG · 2026-01-21 · Chao Wang

Local Stability and Quantitative Bounds for the Betke-Henk-Wills Conjecture

The Betke-Henk-Wills conjecture provides an upper bound for the lattice point enumerator $G(K, Λ)$ of a convex body in terms of its successive minima. While the conjecture is established for orthogonal parallelotopes, its validity for general convex bodies in dimensions $d \ge 5$ remains open. In this paper, we examine the stability...

💬 0 commentsarXiv:2603.00007v2PDF
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Posted in cond-mat.supr-con · 2026-01-21 · Honglin Zhou, Xinman Ye, Gang Wang, Devashibhai Adroja, David Tam, Michael Marek Koza, Zhilun Lu, Jinguang Cheng, Dao-Xin Yao, Huiqian Luo

Spin Fluctuations in the Rare-Earth Doped Bilayer Nickelates

Spin fluctuations have been generally believed as the pairing glue of high-$T_c$ superconductivity. Recent inelastic neutron scattering (INS) studies have revealed a weak flat spin-fluctuation signal around 45 meV in the bilayer nickelate La$_3$Ni$_2$O$_{7-δ}$, suggesting strong interlayer and weak intralayer magnetic couplings...

💬 0 commentsarXiv:2601.14946v2PDF