INFORMS py-irt pub

Summary:

Test Plan:

Author: EntilZha

content/pages/publications.bib

@@ -40,10 +40,11 @@ @article{lalor2022pyirt
   title     = {PY-IRT: A Scalable Item Response Theory Library for Python},
   author    = {John P. Lalor and Pedro Rodriguez},
   year      = {2022},
-  eprint    = {arXiv:2203.01282},
-  url       = {https://arxiv.org/abs/2203.01282},
-  booktitle = {arXiv},
-  type      = {arxiv}
+  journal = {{INFORMS} Journal on Computing},
+  publisher = {Institute for Operations Research and the Management Sciences ({INFORMS})},
+  doi = {10.1287/ijoc.2022.1250},
+  url       = {https://doi.org/10.1287/ijoc.2022.1250},
+  type      = {publication}
 }
 
 @inproceedings{rodriguez2021paradigms,