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Physics Preprint PDF DOI

Observation of Vinen turbulence during far-from-equilibrium Bose-Einstein condensation

Sebastian J. Morris, Martin Gazo, Simon M. Fischer, Haoyu Zhang, Christopher J. Ho, Nigel R. Cooper, Christoph Eigen, Zoran Hadzibabic · 2026

Relaxation of far-from-equilibrium quantum fluids, intimately related to the emergence of long-range order, is theoretically associated with the decay of a turbulent isotropic tangle of vortex lines. …

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AI & Data Science Preprint PDF DOI

An adaptive wavelet-based PINN for problems with localized high-magnitude source

Himanshu Pandey, Ratikanta Behera · 2026

In recent years, physics-informed neural networks (PINNs) have gained significant attention for solving differential equations, although they suffer from two fundamental limitations, namely, spectral …

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Computer Science Preprint PDF DOI

Unsafe and Unused? A History of Utility Code in Mature Open Source Projects

Brandon Keller, Kaitlin Yandik, Angela Ngo, Andy Meneely · 2026

Filenames are a concise means of conveying information about source code to fellow developers. One such convention is util. Commonly understood to stand for "utility", filenames with the letters util …

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Computer Science Preprint PDF DOI

Index-Assisted Stratified Sampling for Online Aggregation

Yunnan Yu, Zhuoyue Zhao · 2026

Ad-hoc queries over frequently updated data in a flat schema are common in real-time data analysis applications and often require very low latency. Online aggregation can achieve so by providing appro…

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Physics Preprint PDF DOI

Finding the one: identifying the host of compact binary mergers

Alberto Salvarese, Hsin-Yu Chen, Daniel E. Holz · 2026

Finding the host galaxies of stellar-mass compact binary mergers will open a new window for studying their formation histories and measuring key cosmological parameters, such as the Hubble constant. T…

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Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen · 2026

Existing learning-based occupancy prediction methods rely on large-scale 3D annotations and generalize poorly across environments. We present FreeOcc, a training-free framework for open-vocabulary occ…

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Mathematics Preprint PDF DOI

Fixed-point-free automorphisms of solvable Lie algebras

Dietrich Burde, Karel Dekimpe · 2026

In this paper, we investigate the existence of fixed-point-free automorphisms for finite-dimensional Lie algebras. By a result of Jacobson, a Lie algebra admitting a fixed-point-free automorphism is s…

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AI & Data Science Preprint PDF DOI

Geometry-Calibrated Conformal Abstention for Language Models

Rui Xu, Yi Chen, Sihong Xie, Hui Xiong · 2026

When language models lack relevant knowledge for a given query, they frequently generate plausible responses that can be hallucinations, rather than admitting being agnostic about the answer. Retraini…

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Computer Science Preprint PDF DOI

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi · 2026

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral realism (matching real…

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AI & Data Science Preprint PDF DOI

KellyBench: A Benchmark for Long-Horizon Sequential Decision Making

Thomas Grady, Kip Parker, Iliyan Zarov, Henry Course, Chengxi Taylor, Ross Taylor · 2026

Language models are saturating benchmarks for procedural tasks with narrow objectives. But they are increasingly being deployed in long-horizon, non-stationary environments with open-ended goals. In t…

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Computer Science Preprint PDF DOI

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen · 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and present…

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AI & Data Science Preprint PDF DOI

Consumer Attitudes Towards AI in Digital Health: A Mixed-Methods Survey in Australia

Wei Zhou, Rashina Hoda, Joycelyn Ling · 2026

AI applications are increasingly being introduced into digital health. While technical performance has advanced rapidly, successful deployment mainly depends on consumer attitudes, especially to patie…

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Physics Preprint PDF DOI

Sampling two-dimensional spin systems with transformers

Piotr Bia{l}as, Piotr Korcyl, Tomasz Stebel, Adam Stefanski, Dawid Zapolski · 2026

Autoregressive Neural Networks based on dense or convolutional layers have recently been shown to be a viable strategy for generating classical spin systems. Unlike these methods, sampling with transf…

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Physics Preprint PDF DOI

Theoretical and Experimental Constraints in the $\mu$--$\tau$ Four-Lepton Sector of the SMEFT: implications to neutrino self interactions

Aadarsh Singh, G. D'Ambrosio, Sudhir K. Vempati · 2026

We study the dimension-six SMEFT four-lepton operators in the $\mu$--$\tau$ sector. These operators control both charged-lepton scattering and neutrino self-interactions, the latter being weakly const…

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AI & Data Science Preprint PDF DOI

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images

Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu, Hong Huang, Cheng Zhang, Lei Fan · 2026

In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific datasets. However, the perf…

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Computer Science Preprint PDF DOI

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su, Feiran Lei, Meng Sun · 2026

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This model forces users to re…

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Physics Preprint PDF DOI

Eclipsing time variations in close binaries produced by azimuthal dynamo waves

Felipe H. Navarrete, Dominik R.G. Schleicher, Petri J. Kapyla, Marcel Volschow · 2026

The nature of eclipsing time variations (ETVs) in post-common-envelope binaries (PCEBs) is still unknown. Circumbinary planets routinely fail the test of time and the Applegate mechanism has energetic…

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Physics Preprint PDF DOI

An Extended Evaluation Split for DeepSpaceYoloDataset

Olivier Parisot · 2026

Recent technological advances in astronomy, particularly the growing popularity of smart telescopes for the general public, make it possible to develop highly effective detection solutions that are ac…

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Physics Preprint PDF DOI

Dense cores and filaments in M16: Enhanced formation efficiency in the stellar feedback-driven shell

Nageen Pervaiz, Guo-Yin Zhang, Alexander Men'shchikov, Jin-Zeng Li · 2026

We present a comprehensive analysis of dense cores and filamentary structures in the M16 Eagle Nebula using high-resolution ($11.7^{\prime\prime}$) surface density and temperature maps derived from \t…

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Mathematics Preprint PDF DOI

Fibonacci numbers and the probability of polygon formation using random length sticks

Mark Brennana, Noah Callow, Tian Cao Lin · 2026

We present two complementary proofs that, if the lengths of $n$ sticks are sampled at random, then the probability that no $p+1$ sticks can form a $(p+1)$-sided polygon can be expressed as the product…

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