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Engineering Preprint PDF DOI

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction

Junyoung Lee, Sookwan Han, Jeonghwan Kim, Inhee Lee, Mingi Choi, Jisoo Kim, Wonjung Woo, Hanbyul Joo ยท 2026

Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple humans and robots share a workspace, acting cโ€ฆ

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Physics Preprint PDF DOI

A common four-beam geometry reveals altitude-stratified GeV pulses in canonical young pulsars

Paul K. H. Yeung, Takayuki Saito ยท 2026

Despite the diversity and energy dependence of $\gamma$-ray pulse morphologies in Crab, Vela and Dragonfly, the phaseograms of these three canonical young pulsars can be organised within a single fourโ€ฆ

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AI & Data Science Preprint PDF DOI

The Effects of Visual Priming on Cooperative Behavior in Vision-Language Models

Kenneth J. K. Ong ยท 2026

As Vision-Language Models (VLMs) become increasingly integrated into decision-making systems, it is essential to understand how visual inputs influence their behavior. This paper investigates the effeโ€ฆ

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Physics Preprint PDF DOI

Probing the $\gamma$-ray Emission Origin of Two Star-forming Galaxies NGC 2403 and NGC 3424 with the Fermi-LAT

Linjie Liu, Wei Zhang, Xian Hou, Pierrick Martin ยท 2026

Star-forming galaxies (SFGs) are a subclass of $\gamma$-ray emitters and a correlation between their $\gamma$-ray luminosity ($L_{\rm \gamma}$) and the total infrared (IR) luminosity ($L_{\rm IR}$) haโ€ฆ

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Physics Preprint PDF DOI

Unusual critical currents in quasi-one-dimensional superconducting aluminum two-width structures in a magnetic field

V. I. Kuznetsov, O. V. Trofimov ยท 2026

We measured unusual critical currents as functions of temperature in the zero field and as functions of a magnetic field perpendicular to the substrate surface at a given temperature close to the critโ€ฆ

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Physics Preprint PDF DOI

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation

Radmir Karamov, Tagir Karamov ยท 2026

Shallow nanoindentation enables mechanical characterization of thin films, individual phases and other volume-constrained materials, but measured hardness is often inflated by the indentation size effโ€ฆ

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Physics Preprint PDF DOI

Diffuse Gamma-ray Emission Around 4FGL J1626.0-4917

Ziwei Ou, Jie Wang ยท 2026

Extended gamma-ray sources provide significant information about particle propagation. 4FGL J1626.0-4917 was labeled as an unassociated source in 4FGL catalog without known counterparts at other wavelโ€ฆ

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Computer Science Preprint PDF DOI

VitaLLM: A Versatile, Ultra-Compact Ternary LLM Accelerator with Dependency-Aware Scheduling

Zi-Wei Lin, Tian-Sheuan Chang ยท 2026

Deploying Large Language Models (LLMs) on resource-constrained edge devices faces critical bottlenecks in memory bandwidth and power consumption. While ternary quantization (e.g., BitNet b1.58) signifโ€ฆ

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Physics Preprint PDF DOI

High-key-rate Fully-Passive Quantum Access Network with Thermal Source

H.W. Yin, B.D. Zhu, H. Peng, T. Wang, X.Q. Jiang, Y.K. Xu, G.H. Zeng ยท 2026

To accommodate classical communication systems with progressively increasing transmission rates, quantum access networks (QAN) have undergone systematic and protocol-level optimizations in recent yearโ€ฆ

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Computer Science Preprint PDF DOI

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

Jun Yeon Won, Xin Jin, Shiqing Ma, Zhiqiang Lin ยท 2026

Large Language Models (LLMs) have achieved remarkable progress in recent years, driving their adoption across a wide range of domains, including computer security. In reverse engineering, LLMs are incโ€ฆ

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AI & Data Science Preprint PDF DOI

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations

Madhumitha Venkatesan, Xuyang Chen, Dongyu Liu ยท 2026

Time-series classification (TSC) has advanced significantly with deep learning, yet most models rely solely on raw numerical inputs, overlooking alternative representations. While texture-based encodiโ€ฆ

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Physics Preprint PDF DOI

Orbital Data Centers: Spacecraft Constraints and Economic Viability

Slava G. Turyshev ยท 2026

Orbital data centers are being evaluated as solar-powered compute constellations and relay-integrated processing platforms. Their feasibility is not set by orbital solar flux alone, but by simultaneouโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Meta-learning-enhanced implicit full waveform inversion

Huan Song, Shijun Cheng, Huanhuan Tang, Wei Ouyang, Weijian Mao ยท 2026

Implicit full waveform inversion (IFWI) introduces implicit neural representations to parameterize the subsurface velocity model as a continuous function of spatial coordinates, which alleviates the dโ€ฆ

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Physics Preprint PDF DOI

Status of the KM3NeT real-time analysis framework

Martina Marconi (on behalf of the KM3NeT Collaboration) ยท 2026

Multi-messenger astronomy requires real-time systems capable of rapidly responding to external alerts and sharing significant detections with partner observatories. KM3NeT, a deep-sea Cherenkov neutriโ€ฆ

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Physics Preprint PDF DOI

Effective length scales, dispersion relations, and discrete densities of states for Laplacian eigenvectors on complex networks

Per Arne Rikvold ยท 2026

To construct dispersion relations for diffusion or oscillation processes on random networks, it is necessary to obtain effective length scales for the eigenvectors of a graph Laplacian matrix, whose eโ€ฆ

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Engineering Preprint PDF DOI

MappingEvolve: LLM-Driven Code Evolution for Technology Mapping

Rongliang Fu, Yi Liu, Qiang Xu, Tsung-Yi Ho ยท 2026

Technology mapping is a critical yet challenging stage in logic synthesis. While Large Language Models (LLMs) have been applied to generate optimization scripts, their potential for core algorithm enhโ€ฆ

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Computer Science Preprint PDF DOI

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

Hyunsung Yoon, Sungju Ryu, Jae-Joon Kim ยท 2026

As the size of Deep Neural Networks (DNNs) increases dramatically to achieve high accuracy, the DNNs require a large amount of computations and memory footprint. Pruning, which produces a sparse neuraโ€ฆ

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AI & Data Science Preprint PDF DOI

ARMA approximation of a Non-separable Spatio-Temporal Model with Fractional Smoothnesses in Space and Time

S. Knutsen Furset, Geir-Arne Fuglstad, Espen R. Jakobsen ยท 2026

The Mat\'ern covariance model is ubiquitous in spatial modelling, but there is no default choice for spatio-temporal modelling. In this paper, we consider the recently proposed ``diffusion-based'' extโ€ฆ

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AI & Data Science Preprint PDF DOI

Binary Spiking Neural Networks as Causal Models

Aditya Kar (CNRS, IRIT), Emiliano Lorini (CNRS, IRIT), Timothee Masquelier (CNRS, CERCO UMR5549) ยท 2026

We provide a causal analysis of Binary Spiking Neural Networks (BSNNs) to explain their behavior. We formally define a BSNN and represent its spiking activity as a binary causal model. Thanks to this โ€ฆ

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Mathematics Preprint PDF DOI

Topological Horseshoe Induced by Periodic Switching Between Non-Isochronous Planar Systems

Junfeng Cheng, Xiao-Song Yang ยท 2026

We establish a criterion for the existence of a topological horseshoe in a class of planar systems generated by periodic switching between two subsystems, each admitting a family of closed orbits, wheโ€ฆ

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