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arXiv preprints from January 1, 2026 through September 23, 2026 — 15:51:55 EST

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Posted in math.AP · 2026-01-08 · Ziyue Zeng, Yuxiang Li

Critical blow-up lines in a two-species quasilinear chemotaxis system with two chemicals

In this study, we explore the quasilinear two-species chemotaxis system with two chemicals \begin{align}\tag{$\star$} \begin{cases} u_t = \nabla \cdot(D(u)\nabla u) - \nabla \cdot \left(S(u) \nabla v\right), & x \in Ω, \ t > 0, \\ 0 = Δv - μ_w + w, \quad μ_w=\fint_Ωw, & x \in Ω, \ t > 0, \\ w_t = Δw - \nabla \cdot \left(w \nabla...

💬 0 commentsarXiv:2601.04994v1PDF
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Posted in physics.optics · 2026-01-08 · Huimin Zhu, Gaomin Tang, Lei Zhang, Jun Chen

Modulating near-field radiative energy and momentum transfer via rotating Weyl semimetals

We study near-field radiative transfer of energy, angular momentum, and linear momentum between a nanoparticle and a plate consisting of magnetic Weyl semimetals, and demonstrate that these can be efficiently tuned by a relative angle between the Weyl node separations. This tunability originates from the coupling between the...

💬 0 commentsarXiv:2601.04993v1PDF
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Posted in cs.CL · 2026-01-08 · Xueyun Tian, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li, Heng Dong, Zheng Chu, Yuanzhuo Wang, Huawei Shen

Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization

Supervised fine-tuning (SFT) on chain-of-thought (CoT) trajectories demonstrations is a common approach for enabling reasoning in large language models. Standard practices typically only retain trajectories with correct final answers (positives) while ignoring the rest (negatives). We argue that this paradigm discards substantial...

💬 0 commentsarXiv:2601.04992v2PDF
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Posted in cs.CV · 2026-01-08 · Jens Bayer, Stefan Becker, David Münch, Michael Arens, Jürgen Beyerer

Higher-Order Adversarial Patches for Real-Time Object Detectors

Higher-order adversarial attacks can directly be considered the result of a cat-and-mouse game -- an elaborate action involving constant pursuit, near captures, and repeated escapes. This idiom describes the enduring circular training of adversarial attack patterns and adversarial training the best. The following work investigates the...

💬 0 commentsarXiv:2601.04991v1PDF
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Posted in astro-ph.HE · 2026-01-08 · Clara Plasse, Alexis Reboul-Salze, Jérome Guilet, Diego Götz, Nicolas Leroy, Raphaël. Raynaud, Matteo Bugli, Tito Dal Canton

Probing millisecond magnetar formation in binary neutron star mergers through X-ray follow-up of gravitational wave alerts

The nature of the remnant of a binary neutron star (BNS) merger is uncertain. Though certainly a black hole (BH) in the cases of the most massive BNSs, X-ray lightcurves from gamma-ray burst (GRB) afterglows suggest a neutron star (NS) as a viable candidate for both the merger remnant as well as the central engine of these transients....

💬 0 commentsarXiv:2601.04990v2PDF
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Posted in hep-ph · 2026-01-08 · Wen-Jia Wang, Bing Wu, Meng-Lin Du, Feng-Kun Guo

Effective Range Expansion with the Left-Hand Cut: Higher Order Improvements

A model-independent parameterization of the low-energy scattering amplitude that incorporates the left-hand cut from one-particle exchange, an extension of the conventional effective-range expansion (ERE), was recently proposed and successfully applied to the low-energy $DD^*$ system [Phys. Rev. Lett. 135, 011903 (2025)]. While the...

💬 0 commentsarXiv:2601.04989v2PDF
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Posted in astro-ph.GA · 2026-01-08 · Si-Yue Yu, Luis C. Ho, Takafumi Tsukui, John D. Silverman, Marc Huertas-Company, Anton M. Koekemoer, Maximilien Franco, Richard Massey, Lilan Yang, Rafael C. Arango-Toro, Andreas L. Faisst, Ghassem Gozaliasl, Kartik Sheth, Jeyhan S. Kartaltepe, Can Xu, Aryana Haghjoo, Xuheng Ding, Zhaoxuan Liu, Jacqueline McCleary

Through Thick and Thin: The Cosmic Evolution of Disk Scale Height

To investigate the formation and evolution of vertical structures in disk galaxies, we measure global $\operatorname{sech}^2$ scale heights, averaging thin and thick components when present, for 2631 edge-on disk galaxies with $M_*>10^{10} M_\odot$ at $0<z<3.5$ from the JWST COSMOS-Web survey. We show that dust extinction...

💬 0 commentsarXiv:2601.04988v2PDF
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Posted in math.CA · 2026-01-08 · Omar El-Fallah, Karim Kellay, Houssame Mahzouli

The local Dirichlet integral and applications

We study the local Dirichlet integral of distance functions and their behavior within the harmonic Dirichlet space. We provide estimates for the local Dirichlet integral of distance functions, which allow us to study their membership in the algebra of multipliers of the Dirichlet space. We give sufficient condition for a closed subset...

💬 0 commentsarXiv:2601.04987v1PDF
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Posted in cond-mat.dis-nn · 2026-01-08 · Soumya Ranjan Padhi, Souvik Roy, Debashree Chowdhury, Tapan Mishra

Spin-aligned butterfly spectral map in Non-Hermitian quasicrystals

The Non-Hermitian spinful Aubry-André-Harper (AAH) model in the presence of Rashba-type spin-orbit coupling (RSOC) and a spatially varying textured magnetic field is studied. Interestingly, our analysis produces a butterfly spectral map due to the non-trivial extent of localization of the states in the spectrum. This spectral map also...

💬 0 commentsarXiv:2601.04986v1PDF
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Posted in physics.acc-ph · 2026-01-08 · Ulrich Dorda

High Intensity for Accelerator Driven Systems (ADS)

Following the motivation for an Accelerator Driven System (ADS), the requirements on the accelerator are derived. Using the MYRRHA project as example, the beam optics/dynamics design and operational concept of such an accelerator are discussed and the main technology choices and challenges are presented.

💬 0 commentsarXiv:2601.04985v1PDF
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Posted in cs.CV · 2026-01-08 · Minseong Kweon, Jinsun Park

OceanSplat: Object-aware Gaussian Splatting with Trinocular View Consistency for Underwater Scene Reconstruction

We introduce OceanSplat, a novel 3D Gaussian Splatting-based approach for high-fidelity underwater scene reconstruction. To overcome multi-view inconsistencies caused by scattering media, we design a trinocular setup for each camera pose by rendering from horizontally and vertically translated virtual viewpoints, enforcing view...

💬 0 commentsarXiv:2601.04984v2PDF
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Posted in quant-ph · 2026-01-08 · Rupayan Bhattacharjee, Rohit Sarma Sarkar, Sergi Abadal, Carmen G. Almudever, Eduard Alarcon

Assessing the Impact of Low Resolution Control Electronics on Quantum Neural Network Performance

Scaling quantum computers requires tight integration of cryogenic control electronics with quantum processors, where Digital-to-Analog Converters (DACs) face severe power and area constraints. We investigate quantum neural network (QNN) training and inference under finite DAC resolution constraints, evaluating two QNN architectures...

💬 0 commentsarXiv:2601.04983v2PDF
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Posted in cs.RO · 2026-01-08 · Johannes A. Gaus, Winfried Ilg, Daniel Haeufle

When to Act: Calibrated Confidence for Reliable Human Intention Prediction in Assistive Robotics

Assistive devices must determine both what a user intends to do and how reliable that prediction is before providing support. We introduce a safety-critical triggering framework based on calibrated probabilities for multimodal next-action prediction in Activities of Daily Living. Raw model confidence often fails to reflect true...

💬 0 commentsarXiv:2601.04982v1PDF
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Posted in quant-ph · 2026-01-08 · Hanna T. Fridman, Rotem Malkinson, Amir Hen, Shira Yochelis, Yossi Paltiel, Nir Bar-gill

Signatures of Spin Coherence in Chiral Coupled Quantum Dots

Chiral-induced spin selectivity (CISS) enables spin selectivity of charge carriers in chiral molecular systems without magnetic materials. While spin selectivity has been widely investigated, its quantum coherence has not yet been explored. Here, we investigate spin-dependent photoluminescence (PL) dynamics in multilayer quantum-dot...

💬 0 commentsarXiv:2601.04981v1PDF
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Posted in cs.IT · 2026-01-08 · Sueda Taner, Christoph Studer

Learning Sparsifying Transforms for mmWave Communication via $\ell^4$-Norm Maximization

The high directionality of wave propagation at millimeter-wave (mmWave) carrier frequencies results in only a small number of significant transmission paths between user equipments and the basestation (BS). This sparse nature of wave propagation is revealed in the beamspace domain, which is traditionally obtained by taking the spatial...

💬 0 commentsarXiv:2601.04980v1PDF
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Posted in physics.class-ph · 2026-01-08 · B Jourdy, D Guenadou, N Seiler, A Labergue, M Gradeck

Scale effects methodology applied to uprising jets in ASTRID

CEA is involved in the development of the 4 th generation of nuclear reactors, among which are the Sodium Cooled Fast Reactors (SFR). To support their design and safety, specific codes were developed and should be validated using experimental results from relevant mock-ups. Due to the complexity of building a fullsized prototype in...

💬 0 commentsarXiv:2601.04979v1PDF
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Posted in cs.NI · 2026-01-08 · Fayssal Bendaoud, Asma Amraoui, karim Sehimi

A DQN-based model for intelligent network selection in heterogeneous wireless systems

Wireless communications have been at the center of the revolution in technology for the last few years. The 5G communication system is the pinnacle of these technologies; however 4G LTE, WiFi, and even satellite technologies are still employed worldwide. So, the aim of the next generation network is to take advantage of these...

💬 0 commentsarXiv:2601.04978v1PDF
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Posted in cs.LG · 2026-01-08 · James Hinns, Sofie Goethals, Stephan Van der Veeken, Theodoros Evgeniou, David Martens

On the Definition and Detection of Cherry-Picking in Counterfactual Explanations

Counterfactual explanations are widely used to communicate how inputs must change for a model to alter its prediction. For a single instance, many valid counterfactuals can exist, which leaves open the possibility for an explanation provider to cherry-pick explanations that better suit a narrative of their choice, highlighting...

💬 0 commentsarXiv:2601.04977v1PDF
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Posted in quant-ph · 2026-01-08 · Ting Lin, Zhihua Chen, Kai Wu, Zhihua Guo, Zhihao Ma, Shao-Ming Fei

Machine learning-aided direct estimation of coherence and entanglement for unknown states

Quantum coherence and entanglement are fundamental resources in quantum technologies, yet their efficient estimation for unknown states by employing minimal resources in experimental settings remains challenging, particularly in high-dimensional systems. We present a machine learning approach based on support vector regression (SVR)...

💬 0 commentsarXiv:2601.04976v1PDF
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Posted in quant-ph · 2026-01-08 · Guillaume Beaulieu, Jun-Zhe Chen, Marco Scigliuzzo, Othmane Benhayoune-Khadraoui, Alex A. Chapple, Peter A. Spring, Alexandre Blais, Pasquale Scarlino

Fast, high-fidelity Transmon readout with intrinsic Purcell protection via nonperturbative cross-Kerr coupling

Dispersive readout of superconducting qubits relies on a transverse capacitive coupling that hybridizes the qubit with the readout resonator, subjecting the qubit to Purcell decay and measurement-induced state transitions (MIST). Despite the widespread use of Purcell filters to suppress qubit decay and near-quantum-limited amplifiers,...

💬 0 commentsarXiv:2601.04975v1PDF
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Posted in math.PR · 2026-01-08 · Manh Hong Duong, Hung Dang Nguyen, Wenxuan Tao

Ergodicity and asymptotic limits for Langevin interacting systems with singular forces and multiplicative noises

In this paper, we study systems of $N$ interacting particles described by the classical and relativistic Langevin dynamics with singular forces and multiplicative noises. For the classical model, we prove the ergodicity, obtaining an exponential rate of convergence to the invariant Boltzmann-Gibbs distribution, and the small-mass...

💬 0 commentsarXiv:2601.04974v3PDF
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Posted in cs.AI · 2026-01-08 · Mizuki Sakai, Mizuki Yokoyama, Wakaba Tateishi, Genki Ichinose

Effects of personality steering on cooperative behavior in Large Language Model agents

Large language models (LLMs) are increasingly used as autonomous agents in strategic and social interactions. Although recent studies suggest that assigning personality traits to LLMs can influence their behavior, how personality steering affects cooperation under controlled conditions remains unclear. In this study, we examine the...

💬 0 commentsarXiv:2601.05302v2PDF
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Posted in cs.AI · 2026-01-08 · Minda Hu, Zexuan Qiu, Zenan Xu, Kun Li, Bo Zhou, Irwin King

ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning

Recent breakthroughs in Large Reasoning Models (LRMs) have demonstrated that extensive Chain-of-Thought (CoT) generation is critical for enabling intricate cognitive behaviors, such as self-verification and backtracking, to solve complex tasks. However, this capability often leads to ``overthinking'', where models generate redundant...

💬 0 commentsarXiv:2601.04973v1PDF
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Posted in math.NT · 2026-01-08 · Nuno Hultberg

New gap principle for semiabelian varieties using globally valued fields

Hrushovski observed that the new gap principle of Gao-Ge-Kühne is essentially equivalent to the Bogomolov conjecture over arbitrary globally valued fields of characteristic $0$. Building on this observation, we prove a new gap principle for semiabelian varieties by reducing the Bogomolov conjecture for semiabelian varieties to the...

💬 0 commentsarXiv:2601.04972v1PDF