Tootfinder

A Living Review Pipeline for AI/ML Applications in Accelerator Physics
Adnan Ghribi
https://arxiv.org/abs/2510.09376 https://arxiv.org/pdf/2510.09376

A Living Review Pipeline for AI/ML Applications in Accelerator Physics
We present an open-source pipeline for generating a \emph{living review} of artificial intelligence (AI) and machine learning (ML) applications in accelerator physics and technologies. Traditional review articles provide static snapshots that are quickly outdated by the rapid pace of research. The presented system automatically harvests publications from multiple bibliographic sources (arXiv, InspireHEP, HAL, OpenAlex, Crossref, and Springer), deduplicates entries, applies semantic filtering to…

PreprintToPaper dataset: connecting bioRxiv preprints with journal publications
Fidan Badalova, Julian Sienkiewicz, Philipp Mayr
https://arxiv.org/abs/2510.01783 https://…

PreprintToPaper dataset: connecting bioRxiv preprints with journal publications
The PreprintToPaper dataset connects bioRxiv preprints with their corresponding journal publications, enabling large-scale analysis of the preprint-to-publication process. It comprises metadata for 145,517 preprints from two periods, 2016-2018 (pre-pandemic) and 2020-2022 (pandemic), retrieved via the bioRxiv and Crossref APIs. Each record includes bibliographic information such as titles, abstracts, authors, institutions, submission dates, licenses, and subject categories, alongside enriched p…

When Collaborative Maintenance Falls Short: The Persistence of Retracted Papers on Wikipedia
Haohan Shi, Yulin Yu, Daniel M. Romero, Em\H{o}ke-\'Agnes Horv\'at
https://arxiv.org/abs/2509.18403 …

An analysis of the effects of open science indicators on citations in the French Open Science Monitor
Giovanni Colavizza, Lauren Cadwallader, Iain Hrynaszkiewicz
https://arxiv.org/abs/2508.20747

An analysis of the effects of open science indicators on citations in the French Open Science Monitor
This study investigates the correlation of citation impact with various open science indicators (OSI) within the French Open Science Monitor (FOSM), a dataset comprising approximately 900,000 publications authored by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators such as the presence of a pre-print, data sharing, and software sharing in 576,537 publications in the FOSM dataset. Our analysis reveals a positive correlation betw…