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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 · 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 c…

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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 · 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 four…

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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 · 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 effe…

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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 · 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 ($L_{\rm IR}$) ha…

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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 · 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 crit…

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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 · 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 eff…

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Physics Preprint PDF DOI

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

Ziwei Ou, Jie Wang · 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 wavel…

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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 · 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) signif…

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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 · 2026

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

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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 · 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 inc…

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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 · 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 encodi…

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Physics Preprint PDF DOI

Orbital Data Centers: Spacecraft Constraints and Economic Viability

Slava G. Turyshev · 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 simultaneou…

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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 · 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 d…

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Physics Preprint PDF DOI

Status of the KM3NeT real-time analysis framework

Martina Marconi (on behalf of the KM3NeT Collaboration) · 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 neutri…

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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 · 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 e…

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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 · 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 enh…

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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 · 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 neura…

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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 · 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'' ext…

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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) · 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 …

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Mathematics Preprint PDF DOI

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

Junfeng Cheng, Xiao-Song Yang · 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, whe…

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