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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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…

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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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Missing energy signatures of inelastic magnetic dipole DM at NA64e

Gninenko, Sergei N.; Krasnikov, N. V.; Voronchikhin, I. V. et al.

arXiv · 2026 · English · arXiv

Some extensions of the Standard Model consider inelastic dark matter (iDM) as an attractive candidate for sub-GeV DM of thermal origin that could be detected at modern accelerators. In the present paper, we calculate the production rate of iDM pairs $χ_{1} \barχ_0$ interacting with the ordinary…

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The electricity system value of the local acceptance of onshore wind in Europe

Price, James; Valenzuela-Venegas, Guillermo; Vågerö, Oskar et al.

arXiv · 2026 · English · arXiv

The large-scale deployment of wind power is central to Europe`s energy transition but faces challenges due to its social and environmental impacts on communities. Here we assess how the tolerance of local stakeholders to such impacts translates across spatial scales to shape the cost and design of…

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Multimodal-NF: A Wireless Dataset for Near-Field Low-Altitude Sensing and Communications

Li, Mengyuan; Lu, Qianfan; Tian, Jiachen et al.

arXiv · 2026 · English · arXiv

Environment-aware 6G wireless networks demand the deep integration of multimodal and wireless data. However, most existing datasets are confined to 2D terrestrial far-field scenarios, lacking the 3D spatial context and near-field characteristics crucial for low-altitude extremely large-scale…

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Pre-Deployment Complexity Estimation for Federated Perception Systems

Solaiman, KMA; Islam, Shafkat; de Oliveira, Ruy et al.

arXiv · 2026 · English · arXiv

Edge AI systems increasingly rely on federated learning to train perception models in distributed, privacy-preserving, and resource-constrained environments. Yet, before training begins, practitioners often lack practical tools to estimate how difficult a federated learning task will be in terms of…

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