Update citations to JOSS paper.

Author: artgoldberg

docs/comparison.rst

@@ -1,4 +1,4 @@
 Comparison to other DES tools
 =============================
 
-Please see the `DE-Sim article <https://github.com/KarrLab/de_sim/blob/master/joss_paper/de_sim_paper.pdf>`_ (in preparation) for a comparison of *DE-Sim* with other DES tools.
+Please see Arthur P. Goldberg & Jonathan Karr. (2020). `DE-Sim: an object-oriented, discrete-event simulation tool for data-intensive modeling of complex systems in Python. Journal of Open Source Software, 5(55), 2685. <https://doi.org/10.21105/joss.02685>`_ for a comparison of *DE-Sim* with other DES tools.

docs/performance.rst

@@ -1,4 +1,4 @@
 Performance
 ===========
 
-Please see the `DE-Sim article <https://github.com/KarrLab/de_sim/blob/master/joss_paper/de_sim_paper.pdf>`_ (in preparation) for information about the performance of *DE-Sim*.
+Please see Arthur P. Goldberg & Jonathan Karr. (2020). `DE-Sim: an object-oriented, discrete-event simulation tool for data-intensive modeling of complex systems in Python. Journal of Open Source Software, 5(55), 2685. <https://doi.org/10.21105/joss.02685>`_ for information about the performance of *DE-Sim*.

joss_paper/README.txt

@@ -1,4 +1,5 @@
-This directory contains a paper published by JOSS.
+This directory contains a paper published by JOSS, Arthur P. Goldberg & Jonathan Karr. (2020). DE-Sim: an object-oriented, discrete-event simulation tool for data-intensive modeling of complex systems in Python. Journal of Open Source Software, 5(55), 2685, https://doi.org/10.21105/joss.02685.
+
 At the time of publication, it was compiled into pdf by using the Whedon paper preview service at https://whedon.theoj.org/.
 
 # Contributions