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Computer Science Preprint PDF DOI

NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

Muhammad Ihsan Al Hafiz, Artur Podobas · 2026

Spiking neural networks (SNNs) are a promising paradigm for energy-efficient event-driven computation, but large-scale SNN execution remains challenging because sparse spike communication and synchron…

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Physics Preprint PDF DOI

A nanoionic diode: Equilibrium rectifying junction enabling large and stable resistance variations

Chuanlian Xiao, Joachim Maier · 2026

We report on a new type of rectifier which is in full contact equilibrium and thus, if down-sized to the nanoscale, shows no drift even if exposed to elevated temperatures and/or extreme waiting times…

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Physics Preprint PDF DOI

Cosmological intercept tension

Jia-Qi Wang, Shao-Jiang Wang · 2026

The long-standing tension in the Hubble constant $H_0$ has motivated extensive explorations of both new physics and observational systematics, for example, the late-time systematics in measuring the B…

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Mathematics Preprint PDF DOI

Frank-Wolfe Beyond 1/t Convergence

Sebastian Pokutta · 2026

We consider smooth convex minimization over compact convex sets, i.e., $\min_{x \in C} f(x)$ with the (vanilla) Frank-Wolfe algorithm. Well-known lower bounds establish a worst-case $\Omega(1/t)$ prim…

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Computer Science Preprint PDF DOI

On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic

Ugo Dal Lago, Guido Fiorillo, Paolo Pistone · 2026

The problem of determining whether a probabilistic program terminates almost surely (i.e.~with probability one) is undecidable, and actually $\Pi^0_2$-complete. For this reason, a growing literature h…

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AI & Data Science Preprint PDF DOI

ITS-Mina: A Harris Hawks Optimization-Based All-MLP Framework with Iterative Refinement and External Attention for Multivariate Time Series Forecasting

Pourya Zamanvaziri, Amirhossein Sadr, Aida Pakniyat, Dara Rahmati · 2026

Multivariate time series forecasting plays a pivotal role in numerous real-world applications, including financial analysis, energy management, and traffic planning. While Transformer-based architectu…

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Physics Preprint PDF DOI

Shift of the maxima of the critical currents of different polarity relative to the zero magnetic flux along the flux axis in a superconducting asymmetric aluminum ring

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

We measured the rectification of an ac voltage in a structure of superconducting circularly-asymmetric aluminum rings in series, permeated with a magnetic flux and biased with a low-frequency alternat…

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Mathematics Preprint PDF DOI

A Ring structure on the Class of Combinatorial Games

Harry Altman, Paolo Lipparini · 2026

J. Conway defined useful operations on the Class of combinatorial games and also introduced a notion of equivalence between games. Conway showed that, under his equivalence, games form a Group. Howeve…

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AI & Data Science Preprint PDF DOI

Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health

Yuxi Ma, Jieming Cui, Muyang Li, Ye Zhao, Yu Li, Yixuan Wang, Chi Zhang, Yinyin Zang, Yixin Zhu · 2026

How people narrate their experiences offers a window into how the mind organizes them. Computational approaches to therapeutic writing have evolved from lexical counting to neural methods, yet remain …

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Physics Preprint PDF DOI

Response to the $^7_\Lambda$He interpretation of MAMI's recent determination of $B_\Lambda(^3_\Lambda$H)

Ryoko Kino, Patrick Achenbach, Pascal Klag, Sho Nagao, Satoshi N. Nakamura, Kotaro Nishi, Josef Pochodzalla, Tianhao Shao (on behalf of the A1 Collaboration) · 2026

We respond to the recent suggestion by A. Gal [arXiv:2604.18259] that the sharp pion-momentum peak at $p_{\pi^-} \approx 113.8$~MeV/$c$ observed in our $^7\mathrm{Li}(e,e^\prime K^+)$ electroproductio…

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AI & Data Science Preprint PDF DOI

Mind the Gap: Structure-Aware Consistency in Preference Learning

Mehryar Mohri, Yutao Zhong · 2026

Preference learning has become the foundation of aligning Large Language Models (LLMs) with human intent. Popular methods, such as Direct Preference Optimization (DPO), minimize surrogate losses as pr…

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Physics Preprint PDF DOI

Probing dust properties through polarized scattered-light images of a sample of ring-shaped protoplanetary disks

Maxime Roumesy, Francois Menard, Gaspard Duchene, Ryo Tazaki, Christian Ginski · 2026

The evolution of protoplanetary disks, especially in the early stages of planetary formation, as dust grows, is the cornerstone of the birth of planets. The mechanisms involved in the growth of sub-mi…

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Mathematics Preprint PDF DOI

Structural description of (bull, house)-free graphs

Manoj Belavadi, Chinh T. Hoang · 2026

The bull is a graph consisting of a triangle and two pendant edges. The P_5 is the chordless path on five vertices. The house is the complement of a P_5. A graph is k-critical if it is k-chromatic but…

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AI & Data Science Preprint PDF DOI

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Yucheng Chen, Yang Yu, Yufei Shi, Conghao Xiong, Xulei Yang, Si Yong Yeo · 2026

Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' workload and reduce human errors by automatically generating diagnostic reports from medical images. A …

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AI & Data Science Preprint PDF DOI

SpatialGrammar: A Domain-Specific Language for LLM-Based 3D Indoor Scene Generation

Song Tang, Kaiyong Zhao, Yuliang Li, Qingsong Yan, Penglei Sun, Junyi Zou, Qiang Wang, Xiaowen Chu · 2026

Automatically generating interactive 3D indoor scenes from natural language is crucial for virtual reality, gaming, and embodied AI. However, existing LLM-based approaches often suffer from spatial er…

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Computer Science Preprint PDF DOI

Temporal and Content Coupling Analysis of Social Media User Behavior

Jipeng Tan, Mengye Yang, Zhanghao Li, Yong Min · 2026

News consumption behavior is shaped by the coupling between temporal dynamics and content selection. This study proposes a multi-scale temporal-content framework and validates it on two large real-wor…

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Mathematics Preprint PDF DOI

Quantitative homogenization of the maximal action of curves in a Brownian potential

Felix Otto, Matteo Palmieri · 2026

Motivated by an optimal-matching problem (Leighton-Shor) and the random-field Ising model (Aizenman-Wehr, Ding-Wirth), we consider a variational problem for graphs in $1+1$ dimension maximizing an act…

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Mathematics Preprint PDF DOI

The Bernstein-von Mises theorem for Bayesian one-pass online learning

Jeyong Lee, Junhyeok Choi, Dongguen Kim, Minwoo Chae · 2026

Bayesian online learning provides a coherent framework for sequential inference. However, its theoretical understanding remains limited, particularly in the one-pass setting. Existing theoretical guar…

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AI & Data Science Preprint PDF DOI

Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence

Kotaro Sasaki, Hisashi Noma, Theodoros Evrenoglou · 2026

In diagnostic test accuracy meta-analysis (DTA-MA), standard inference methods using bivariate random-effects models for jointly synthesizing sensitivity and specificity can be sensitive to outlying s…

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AI & Data Science Preprint PDF DOI

A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition

Yue Song · 2026

EigenDecomposition (ED) is at the heart of many computer vision algorithms and applications. One crucial bottleneck limiting its usage is the expensive computation cost, particularly for a mini-batch …

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