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  1. Preprint Full text

    MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration

    Chang, Da; Shi, Qiankun; Zhang, Lvgang et al.

    arXiv · 2026 · English · arXiv

    Orthogonalized-update optimizers such as Muon improve training of matrix-valued parameters, but existing extensions mostly act either after orthogonalization by rescaling updates or before it with heavier whitening-based preconditioners. We introduce {\method}, a lightweight family of…

  2. Preprint Full text

    Framework for identifying the equivalence between Nature-Inspired Metaheuristics

    Fister, Iztok; Hozjan, Žan; Fister, Jr., Iztok et al.

    arXiv · 2026 · English · arXiv

    The domain of metaheuristic optimization has become vibrant due to a flood of new algorithms using a new nature-inspired metaphor but lacking clear methodological novelty. The Criticism behind the development of these algorithms has reached such an extent that the critics started to assert that all…

  3. Preprint Full text

    Contingent Claim Valuation under Increasing Profit, Strong Arbitrage, and Arbitrage of the First Kind

    Tsuzuki, Yukihiro

    arXiv · 2026 · English · arXiv

    We study the upper hedging price for contingent claims in market models with strong types of arbitrage: increasing profit, strong arbitrage, and arbitrage of the first kind. The existence of arbitrage may make the price smaller than if it did not exist. For example, when the asset price process has…

  4. Preprint Full text

    Nonlinear Factor Decomposition via Kolmogorov-Arnold Networks: A Spectral Approach to Asset Return Analysis

    Breazu, David

    arXiv · 2026 · English · arXiv

    KAN-PCA is an autoencoder that uses a KAN as encoder and a linear map as decoder. It generalizes classical PCA by replacing linear projections with learned B-spline functions on each edge. The motivation is to capture more variance than classical PCA, which becomes inefficient during market crises…

  5. Preprint Full text

    Efficient Counting and Simulation in Content-Oblivious Rings

    Chalopin, Jérémie; Chang, Yi-Jun; Di Luna, Giuseppe Antonio et al.

    arXiv · 2026 · English · arXiv

    In the content-oblivious (CO) model (proposed by Censor-Hillel et al.), processes inhabit an asynchronous network and communicate only by exchanging pulses. A series of works has clarified the computational power of this model. In particular, it was shown that, when a leader is present and the…

  6. Preprint Full text

    Coconstructions in spoken data: UD annotation guidelines and first results

    Pannitto, Ludovica; Kahane, Sylvain; Dobrovoljc, Kaja et al.

    arXiv · 2026 · English · arXiv

    The paper proposes annotation guidelines for syntactic dependencies that span across speaker turns - including collaborative coconstructions proper, wh-question answers, and backchannels - in spoken language treebanks within the Universal Dependencies framework. Two representations are proposed: a…

  7. Preprint Full text

    Spectral Segmented Linear Regression for Coarse Carrier Frequency Offset Estimation in Optical LEO Satellite Communications

    Vieira, I. P.; Serra, G. V.; Colares, R. A. et al.

    arXiv · 2026 · English · arXiv

    Carrier frequency offset estimation (CFOE) is a critical stage in modern coherent optical communication systems. Although conventional all-digital techniques perform reliably in typical fiber-optic communication links, CFOE often becomes a major bottleneck in low-symbol-rate scenarios with large…

  8. Preprint Full text

    Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights

    Valero, Eneko; Albado, Maria Ribalta i; Sainz, Oscar et al.

    arXiv · 2026 · English · arXiv

    Large Language Models (LLMs) remain heavily centered on English, with limited performance in low-resource languages. Existing adaptation approaches, such as continual pre-training, demand significant computational resources. In the case of instructed models, high-quality instruction data is also…

  9. Preprint Full text

    Clustered Movable Pinching Antennas: Realizing Beamforming Gains and Target Diversity in ISAC Systems with Look-Angle-Dependent RCS

    Khalili, Ata; Kaziu, Brikena; Papanikolaou, Vasilis K. et al.

    arXiv · 2026 · English · arXiv

    We investigate a novel integrated sensing and communication (ISAC) system enabled by pinching antennas (PAs), which are dynamically activated along a dielectric waveguide. Unlike prior designs, the PAs are organized into multiple clusters of movable antennas. The movement of the antennas within…

  10. Preprint Full text

    Fine-Grained Complexity of Continuous Euclidean k-Center

    Blank, Lotte; Bringmann, Karl; Chalermsook, Parinya et al.

    arXiv · 2026 · English · arXiv

    In the (continuous) Euclidean $k$-center problem, given $n$ points in $\mathbb{R}^d$ and an integer $k$, the goal is to find $k$ center points in $\mathbb{R}^d$ that minimize the maximum Euclidean distance from any input point to its closest center. In this paper, we establish conditional lower…

  11. Preprint Full text

    Nonvanishing $k$-flats of Boolean and vectorial functions

    Kaspers, Christian

    arXiv · 2026 · English · arXiv

    $k$th-order sum-free functions are a natural generalization of APN functions using the concept of (non)vanishing flats. In this paper, we introduce a new combinatorial technique to study the nonvanishing flats of Boolean functions. This approach allows us to determine the number of nonvanishing…

  12. Preprint Full text

    Intrinsically ultralow thermal conductivity in all-inorganic superatomic bulk crystals

    Yang, Mingzhang; Wang, Yuxi; Deng, Jun et al.

    arXiv · 2026 · English · arXiv

    Superatomic compounds, composed of atomic clusters interwoven by weak chemical bonds exhibit large anharmonicity vibrations, are excellent candidates for ultralow thermal conductivity (\k{appa}) materials. However, growing bulk superatomic single crystals is challenging due to complex chemical…

  13. Preprint Full text

    Near-Optimal Bounds for Parameterized Euclidean k-means

    Cohen-Addad, Vincent; S., Karthik C.; Saulpic, David et al.

    arXiv · 2026 · English · arXiv

    The $k$-means problem is a classic objective for modeling clustering in a metric space. Given a set of points in a metric space, the goal is to find $k$ representative points so as to minimize the sum of the squared distances from each point to its closest representative. In this work, we study the…

  14. Preprint Full text

    Quantum engineering with ultracold polar molecules using trap-induced resonances

    Ravichandran, Sakthikumaran; Kulik, Piotr; Jachymski, Krzysztof

    arXiv · 2026 · English · arXiv

    Polar molecules represent a promising platform for quantum simulation and computation protocols. Highly controllable arrays of optical tweezers are now accessible in experiments, allowing for unprecedented control of individual molecules. Motional dephasing is typically seen as an obstacle in…

  15. Preprint Full text

    osmAG-Nav: A Hierarchical Semantic Topometric Navigation Stack for Robust Lifelong Indoor Autonomy

    Zhang, Yongqi; Zhang, Jiajie; Li, Chengqian et al.

    arXiv · 2026 · English · arXiv

    The deployment of mobile robots in large-scale, multi-floor environments demands navigation systems that achieve spatial scalability without compromising local kinematic precision. Traditional navigation stacks, reliant on monolithic occupancy grid maps, face severe bottlenecks in storage…

  16. Preprint Full text

    Point of View: How Perspective Affects Perceived Robot Sociability

    Agrawal, Subham; Akthar, Aftab; Dengler, Nils et al.

    arXiv · 2026 · English · arXiv

    Ensuring that robot navigation is safe and socially acceptable is crucial for comfortable human-robot interaction in shared environments. However, existing validation methods often rely on a bird's-eye (allocentric) perspective, which fails to capture the subjective first-person experience of…

  17. Preprint Full text

    A statistical perspective on higher-order interactions modeling

    Matias, Catherine

    arXiv · 2026 · English · arXiv

    Modeling higher-order interactions (HOI) has emerged as a crucial challenge in complex systems analysis, as many phenomena cannot be fully captured by pairwise relationships alone. Hypergraphs, which generalize graphs by allowing interactions among more than two entities, provide a powerful…

  18. Preprint Full text

    Statistics 101, 201, and 202: Three Shiny Apps for Teaching Probability Distributions, Inferential Statistics, and Simple Linear Regression

    Soetewey, Antoine

    arXiv · 2026 · English · arXiv

    Statistics 101, 201, and 202 are three open-source interactive web applications built with R \citep{R} and Shiny \citep{shiny} to support the teaching of introductory statistics and probability. The apps help students carry out common statistical computations -- computing probabilities from…

  19. Preprint Full text

    Phenomenology developments in UPC: $γγ\to γγ$ scattering

    Jucha, Paweł; Szczurek, Antoni

    arXiv · 2026 · English · arXiv

    We discuss several possible extensions of present studies of $γγ\to γγ$ scattering in ultraperipheral heavy ion collisions. One of the possible extensions are studies for lower diphoton invariant masses (smaller transverse momenta). There new mechanisms may show up. This includes possible studies…

  20. Preprint Full text

    Sensitivity enhancement techniques for cryogenic calorimeters in the NUCLEUS experiment

    Cappelli, M.; Wallach, A.; Abele, H. et al.

    arXiv · 2026 · English · arXiv

    Phonon-mediated cryogenic calorimeters find application in rare event searches due to their intrinsically low energy threshold. Achieving the best sensitivity for this kind of detectors is crucial for signal identification, leading to various optimization techniques. In this work, we present two…

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