# The challenge and promise of software citation for credit, identification, discovery, and reuse

arXiv: https://arxiv.org/abs/1601.04734 · HTML: https://mlsanity.com/paper/1601.04734/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Jan 2016.

## Built on by (most cited first, 1 of 1)

- [The FAIRy Tale of Genetic Algorithms](https://mlsanity.com/paper/2305.00238/) (2023)

## Abstract (arXiv)

In this article, we present the challenge of software citation as a method to ensure credit for and identification, discovery, and reuse of software in scientific and engineering research. We discuss related work and key challenges/research directions, including suggestions for metadata necessary for software citation.
