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arXiv preprints from January 1, 2026 through September 22, 2026 — 13:40:50 EST

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Posted in gr-qc · 2026-01-14 · Ciro De Simone, Sebastian H. Völkel, Kostas D. Kokkotas, Vittorio De Falco, Salvatore Capozziello

Confronting eikonal and post-Kerr methods with numerical evolution of scalar field perturbations in spacetimes beyond Kerr

The accurate computation of quasinormal modes from rotating black holes beyond general relativity is crucial for testing fundamental physics with gravitational waves. In this study, we assess the accuracy of the eikonal and post-Kerr approximations in predicting the quasinormal mode spectrum of a scalar field on a deformed Kerr...

💬 0 commentsarXiv:2601.09607v2PDF
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Posted in cs.CV · 2026-01-14 · Manning Gao, Leheng Zhang, Shiqin Han, Haifeng Hu, Yuncheng Jiang, Sijie Mai

GRCF: Two-Stage Groupwise Ranking and Calibration Framework for Multimodal Sentiment Analysis

Most Multimodal Sentiment Analysis research has focused on point-wise regression. While straightforward, this approach is sensitive to label noise and neglects whether one sample is more positive than another, resulting in unstable predictions and poor correlation alignment. Pairwise ordinal learning frameworks emerged to address this...

💬 0 commentsarXiv:2601.09606v1PDF
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Posted in cs.CV · 2026-01-14 · Yuxi Liu, Yipeng Hu, Zekun Zhang, Kunze Jiang, Kun Yuan

Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers

While Diffusion Transformers (DiTs) have achieved notable progress in video generation, this long-sequence generation task remains constrained by the quadratic complexity inherent to self-attention mechanisms, creating significant barriers to practical deployment. Although sparse attention methods attempt to address this challenge,...

💬 0 commentsarXiv:2601.11641v3PDF
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Posted in cs.CV · 2026-01-14 · Jeremiah Coholich, Justin Wit, Robert Azarcon, Zsolt Kira

Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets

Vision-based policies for robot manipulation have achieved significant recent success, but are still brittle to distribution shifts such as camera viewpoint variations. Robot demonstration data is scarce and often lacks appropriate variation in camera viewpoints. Simulation offers a way to collect robot demonstrations at scale with...

💬 0 commentsarXiv:2601.09605v3PDF
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Posted in math.AG · 2026-01-14 · John Cobb, Matthew Faust, Andreas Kretschmer

Inverse Eigenvalue Problems, Floquet Isospectrality and the Hilbert--Chow Morphism

When can one change the diagonal of a matrix without changing its spectrum? We completely answer this question over an algebraically closed field of characteristic zero or larger than the size of the matrix: An $n \times n$ matrix $A$ admits a nonzero diagonal matrix $D$ such that $A$ and $A+D$ have the same spectrum if and only if,...

💬 0 commentsarXiv:2601.09604v1PDF
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Posted in cs.SD · 2026-01-14 · Petros Vavaroutsos, Theodoros Palamas, Pantelis Vikatos

Linear Complexity Self-Supervised Learning for Music Understanding with Random Quantizer

In recent years, foundation models have become very popular due to their exceptional performance, mainly in natural language (NLP) tasks where they were first introduced. These models usually consist of hundreds of millions, or even billions, of parameters, making them resource-intensive during training and in production systems,...

💬 0 commentsarXiv:2601.09603v1PDF
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Posted in math.RT · 2026-01-14 · Benjamin Briggs, Lleonard Rubio y Degrassi

Outer derivations on blocks of group algebras

Let $G$ be a finite group whose order is divisible by the characteristic of a field $k$. If $B$ is a block of $kG$ with defect group $P$, we prove that the space of derivations on $kP$ which are restrictions of derivations on $kG$, modulo inner derivations, is isomorphic to a subspace of $\operatorname{HH}^1(B,B)$. Using this, we...

💬 0 commentsarXiv:2601.09602v1PDF
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Posted in cs.CV · 2026-01-14 · Emmanuele Barberi, Felice Sfravara, Filippo Cucinotta

Iterative Differential Entropy Minimization (IDEM) method for fine rigid pairwise 3D Point Cloud Registration: A Focus on the Metric

Point cloud registration is a central theme in computer vision, with alignment algorithms continuously improving for greater robustness. Commonly used methods evaluate Euclidean distances between point clouds and minimize an objective function, such as Root Mean Square Error (RMSE). However, these approaches are most effective when...

💬 0 commentsarXiv:2601.09601v1PDF
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Posted in cs.CY · 2026-01-14 · Bhaskar Mitra, Nicola Neophytou, Sireesh Gururaja

Information Access of the Oppressed: Freirean Design for Emancipatory Information Access

Online information access (IA) platforms are targets of authoritarian capture. We explore the question of how to safeguard our platforms and ensure emancipatory outcomes through the lens of Paulo Freire's theories of emancipatory pedagogy. Freire's theories provide a radically different lens for exploring IA's sociotechnical concerns...

💬 0 commentsarXiv:2601.09600v3PDF
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Posted in hep-ph · 2026-01-14 · Luigi Bellafronte, Sally Dawson, Clara Del Pio, Matthew Forslund, Pier Paolo Giardino

Higgs Decays at NLO in the SMEFT

The calculation of precise predictions for Higgs decays is a necessary ingredient for determining Higgs properties at the LHC and future colliders. We compute all two- and three-body Higgs decays at next-to-leading order (NLO) in both QCD and electroweak interactions using the dimension-6 Standard Model Effective Field Theory (SMEFT)....

💬 0 commentsarXiv:2601.09599v2PDF
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Posted in hep-ph · 2026-01-14 · Er-Hao Shang, Jun-Nan Lu, Gui-Jun Ding, Stephen F. King

New modular fixed point models and their phenomenological implications for JUNO, T2HK and DUNE

We perform a general analysis of minimal modular fixed point models based on two right-handed neutrinos (2RHNs) and three modular fixed points, and find that the only viable possibilities are based on modular $S_4'$ and $A_5$ symmetry. Such models are highly predictive, with neutrino masses and the lepton mixing mixing matrix being...

💬 0 commentsarXiv:2601.09598v2PDF
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Posted in quant-ph · 2026-01-14 · Manish Chaudhary

Dissipative State Engineering of Complex Entanglement with Markovian Dynamics

Highly multipartite entangled states play an important role in various quantum computing tasks. We investigate the dissipative generation of a complex entanglement structure as in a cluster state through engineered Markovian dynamics in the spin systems coupled via Ising interactions. Using the Lindblad master equation, we design a...

💬 0 commentsarXiv:2601.09597v1PDF
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Posted in physics.plasm-ph · 2026-01-14 · Thomas Grismayer, Fabrizio Del Gaudio, Luís O. Silva

Plasma wakes driven by Compton scattering: Non-linear regime and particle acceleration

We investigate plasma wake generation via Compton scattering from photon bursts, a non-ponderomotive process relevant when the photon wavelength is smaller than the interparticle distance but larger than the Compton wavelength. In this regime, electrons can reach relativistic velocities. We extend linear theory to the nonlinear...

💬 0 commentsarXiv:2601.09596v1PDF
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Posted in physics.chem-ph · 2026-01-14 · Sergio Suárez-Dou, Miguel Gallegos, Kyunghoon Han, Florian N. Brünig, Joshua T. Berryman, Alexandre Tkatchenko

Quantum-Accurate Conformational Stabilities and Vibrational Dynamics in Molecules and Proteins with Machine-Learned Force Fields

Biomolecular thermodynamics and spectroscopy depend on relative conformer energies, local curvatures, and collective dipole fluctuations on the potential-energy surface. Conventional molecular mechanics force fields enable large-scale simulations, but their fixed functional forms can misrepresent infrared intensities, mode character,...

💬 0 commentsarXiv:2601.09845v2PDF
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Posted in hep-ph · 2026-01-14 · Nils Hüsken, Eric S. Swanson, Adam Szczepaniak

On Dispersive and Nondispersive K-matrix Formalisms

The modeling of coupled-channel effects has become increasingly important due to the availability of highly precise data for a large variety of hadronic (re)scattering processes. The K-matrix is a powerful, yet comparatively simple, method to describe scattering amplitudes, including coupled-channel effects, with the aim to interpret...

💬 0 commentsarXiv:2601.09844v1PDF
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Posted in astro-ph.GA · 2026-01-14 · Simon Portegies Zwart, Arjen Doelman, Jelmer Sein

The formation of periodic three-body orbits for Newtonian systems

Braids are periodic solutions to the general N-body problem in gravitational dynamics. These solutions seem special and unique, but they may result from rather usual encounters between four bodies. We aim at understanding the existence of braids in the Galaxy by reverse engineering the interactions in which they formed. We simulate...

💬 0 commentsarXiv:2601.09843v2PDF
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Posted in cs.SE · 2026-01-14 · Walid Maalej

On Fun for Teaching Large Programming Courses

Teaching software development basics to hundreds of students in a frontal setting is cost-efficient and thus still common in universities. However, in a large lecture hall, students can easily get bored, distracted, and disengaged. The frontal setting can also frustrate lecturers since interaction opportunities are limited and hard to...

💬 0 commentsarXiv:2601.09842v1PDF
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Posted in cs.LG · 2026-01-14 · Aparajita Kashyap, Sara Matijevic, Noémie Elhadad, Steven A. Kushner, Shalmali Joshi

A pipeline for enabling path-specific causal fairness in observational health data

When training machine learning (ML) models for potential deployment in a healthcare setting, it is essential to ensure that they do not replicate or exacerbate existing healthcare biases. Although many definitions of fairness exist, we focus on path-specific causal fairness, which allows us to better consider the social and medical...

💬 0 commentsarXiv:2601.09841v2PDF
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Posted in math.MG · 2026-01-14 · Alberto Domínguez Corella, Trí Minh Lê

A note on absolutely minimal extensions in finite metric spaces

Absolutely minimal Lipschitz extensions (AMLEs) are known to exist in many infinite metric settings, but the finite case is less settled. In metric spaces with at most four points, every function on a nonempty subset admits an AMLE in the sense that the Lipschitz constant cannot be further reduced on sets that are disjoint from the...

💬 0 commentsarXiv:2601.09840v1PDF
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Posted in cs.PL · 2026-01-14 · Chen Ling, Yachen Wang

Lazy Evaluation: A Comparative Analysis of SAS MACROs and R Functions

Lazy evaluation is a powerful technique that can optimize code execution by deferring evaluations until their results are required, thus enhancing efficiency. In most modern programming languages, like R, lazy evaluation is commonly applied to function arguments. However, the application of lazy evaluation in SAS has not been...

💬 0 commentsarXiv:2601.09839v1PDF
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Posted in cs.RO · 2026-01-14 · Leonie Dyck, Aiko Galetzka, Maximilian Noller, Anna-Lena Rinke, Jutta Bormann, Jekaterina Miller, Michelle Hochbaum, Julia Siemann, Jördis Alboth, Andre Berwinkel, Johanna Luz, Britta Kley-Zobel, Marcine Cyrys, Nora Flöttmann, Ariane Vogeler, Mariia Melnikova, Ira-Katharina Petras, Michael Siniatchkin, Winfried Barthlen, Anna-Lisa Vollmer

Interprofessional and Agile Development of Mobirobot: A Socially Assistive Robot for Pediatric Therapy Across Clinical and Therapeutic Settings

Introduction: Socially assistive robots hold promise for enhancing therapeutic engagement in paediatric clinical settings. However, their successful implementation requires not only technical robustness but also context-sensitive, co-designed solutions. This paper presents Mobirobot, a socially assistive robot developed to support...

💬 0 commentsarXiv:2601.09838v1PDF
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Posted in eess.SP · 2026-01-14 · Ismaila Salihou Adamou, Michèle Wigger

Distributed Hypothesis Testing Under A Covertness Constraint

We study distributed hypothesis testing under a covertness constraint in the non-alert situation, which requires that under the null-hypothesis an external warden be unable to detect whether communication between the sensor and the decision center is taking place. We characterize the achievable Stein exponent of this setup when the...

💬 0 commentsarXiv:2601.09837v2PDF
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Posted in cs.CR · 2026-01-14 · Hadis Rezaei, Rahim Taheri, Francesco Palmieri

A Risk-Stratified Benchmark Dataset for Bad Randomness (SWC-120) Vulnerabilities in Ethereum Smart Contracts

Many Ethereum smart contracts rely on block attributes such as block.timestamp or blockhash to generate random numbers for applications like lotteries and games. However, these values are predictable and miner-manipulable, creating the Bad Randomness vulnerability (SWC-120) that has led to real-world exploits. Current detection tools...

💬 0 commentsarXiv:2601.09836v1PDF
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Posted in astro-ph.EP · 2026-01-14 · Xiaochen Zheng, Zhuoya Cao, Shigeru Ida, Douglas N. C. Lin, Shude Mao

A Robust Launching Mechanism for Freely-Floating Planets from Host Stars with Close-in Planets

Secular perturbations from binary stars and distant massive planets can drive cold planets onto nearly parabolic orbits with pericenter passages extremely close to their host stars. Meanwhile, short-period super-Earths are frequently observed around nearby stars. Gravitational scattering between these two distinct populations can lead...

💬 0 commentsarXiv:2601.09835v2PDF
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Posted in hep-ph · 2026-01-14 · Guido D'Amico, Andrew A. Geraci, Nemanja Kaloper, Alexander Westphal

Very-High-Frequency Gravitational Waves from Multi-Monodromy Inflation

We show that in multi-stage axion monodromy inflation an interruption near the end of the penultimate stage can lead to a spike in the gravitational wave background. These gravitational waves are in the frequency range and with an amplitude accessible to proposed terrestrial detectors such as the Einstein Telescope, Cosmic Explorer,...

💬 0 commentsarXiv:2601.09834v1PDF