docs: fix citation error

paper/paper.md

@@ -71,7 +71,7 @@ These workflows typically require many separate tools (i.e. internet browser, fi
 Scripting workflows like this has several advantages: 1) it decreases the chance of human errors, for example using an old version of the downloaded data or accidentally altering a pre-processing steps, such as referencing a raster of elevation data to the geoid instead of the ellipsoid, and 2) it allows entire workflows to be shared easily between collaborators with a single python file or Jupyter Notebook.
 
 Written in easy-to-learn Python, and utilizing common geospatial data structures, `PolarToolkit` is designed to be familiar to use for experienced Python users, while also being approachable for beginner coders.
-It is built upon several open-source packages, such as [Pooch](https://www.fatiando.org/pooch/latest/) for data downloading [@uiedapooch2020], [PyGMT](https://www.pygmt.org/latest/) for creating figures [@uiedapygmt2021], and [Xarray](https://docs.xarray.dev/en/stable/) and [Verde](https://www.fatiando.org/verde/latest/) for geospatial data processing [@hoyerxarray2017; @uiedaverde2018]. `PolarToolkit` is designed for generic work with polar data while there are specific packages available for downloading or working with specific data types, such as [ITS_LIVE](https://github.com/nasa-jpl/itslive-py) for glacier velocity data [@itslive2024], [icepyx](https://github.com/icesat2py/icepyx) for ICESat-2 data [@scheickicepyx2023], and [earthspy](https://github.com/AdrienWehrle/earthspy) for satellite data [@earthspy2024]. Other similar software exists but differ from `PolarToolkit` in being either focused on specific types of data [[icepack](https://github.com/icepack/icepack); @shaperoicepack2023] or using different programming languages which require users to have paid licenses [Antarctic Mapping Tools, @greeneantarctic2017].
+It is built upon several open-source packages, such as [Pooch](https://www.fatiando.org/pooch/latest/) for data downloading [@uiedapooch2020], [PyGMT](https://www.pygmt.org/latest/) for creating figures [@uiedapygmt2021], and [Xarray](https://docs.xarray.dev/en/stable/) and [Verde](https://www.fatiando.org/verde/latest/) for geospatial data processing [@hoyerxarray2017; @uiedaverde2018]. `PolarToolkit` is designed for generic work with polar data while there are specific packages available for downloading or working with specific data types, such as [ITS_LIVE](https://github.com/nasa-jpl/itslive-py) for glacier velocity data [@itslive2024], [icepyx](https://github.com/icesat2py/icepyx) for ICESat-2 data [@scheickicepyx2023], and [earthspy](https://github.com/AdrienWehrle/earthspy) for satellite data [@earthspy2024]. Other similar software exists but differ from `PolarToolkit` in being either focused on specific types of data [icepack, @shaperoicepack2023] or using different programming languages which require users to have paid licenses [Antarctic Mapping Tools, @greeneantarctic2017].
 Comprehensive documentation, API reference, tutorials, and how-to guides are available at [https://polartoolkit.readthedocs.io/en/](https://polartoolkit.readthedocs.io/en/), and development occurs in the [GitHub repository](https://github.com/mdtanker/polartoolkit).