Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 62 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 14 tok/s Pro
GPT-5 High 13 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 217 tok/s Pro
GPT OSS 120B 474 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Citation method, please? A case study in astrophysics (2111.12574v1)

Published 24 Nov 2021 in astro-ph.IM, cs.DL, and physics.soc-ph

Abstract: Software citation has accelerated in astrophysics in the past decade, resulting in the field now having multiple trackable ways to cite computational methods. Yet most software authors do not specify how they would like their code to be cited, while others specify a citation method that is not easily tracked (or tracked at all) by most indexers. Two metadata file formats, codemeta.json and CITATION.cff, developed in 2016 and 2017 respectively, are useful for specifying how software should be cited. In 2020, the Astrophysics Source Code Library (ASCL, ascl.net) undertook a year-long effort to generate and send these software metadata files, specific to each computational method, to code authors for editing and inclusion on their code sites. We wanted to answer the question, "Would sending these files to software authors increase adoption of one, the other, or both of these metadata files?" The answer in this case was no. Furthermore, only 41% of the 135 code sites examined for use of these files had citation information in any form available. The lack of such information creates an obstacle for article authors to provide credit to software creators, thus hindering citation of and recognition for computational contributions to research and the scientists who develop and maintain software.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube