From 20ac42aeb08262f8d197adba3e11875df8a7193d Mon Sep 17 00:00:00 2001
From: ThebTron <31448377+ThebTron@users.noreply.github.com>
Date: Tue, 8 Feb 2022 01:11:09 +0000
Subject: [PATCH 1/2] Update README.rst

---
 README.rst | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/README.rst b/README.rst
index 30e048d5..ab65922c 100644
--- a/README.rst
+++ b/README.rst
@@ -18,6 +18,17 @@ OMLT: Optimization and Machine Learning Toolkit
 
 OMLT is a Python package for representing machine learning models (neural networks and gradient-boosted trees) within the Pyomo optimization environment. The package provides various optimization formulations for machine learning models (such as full-space, reduced-space, and MILP) as well as an interface to import sequential Keras and general ONNX models.
 
+Please reference this software package as:
+```
+@misc{ceccon2022omlt,
+     title={OMLT: Optimization & Machine Learning Toolkit}, 
+     author={Francesco Ceccon and Jordan Jalving and Joshua Haddad and Alexander Thebelt and Calvin Tsay and Carl D. Laird and Ruth Misener},
+     year={2022},
+     eprint={2202.02414},
+     archivePrefix={arXiv},
+     primaryClass={stat.ML}
+}
+```
 
 Examples
 ========

From bc6161f517b50c8d13560cb298fb38dfec33e573 Mon Sep 17 00:00:00 2001
From: ThebTron <31448377+ThebTron@users.noreply.github.com>
Date: Tue, 8 Feb 2022 01:34:11 +0000
Subject: [PATCH 2/2] Update README.rst

---
 README.rst | 24 +++++++++++++-----------
 1 file changed, 13 insertions(+), 11 deletions(-)

diff --git a/README.rst b/README.rst
index ab65922c..c7df222d 100644
--- a/README.rst
+++ b/README.rst
@@ -18,17 +18,19 @@ OMLT: Optimization and Machine Learning Toolkit
 
 OMLT is a Python package for representing machine learning models (neural networks and gradient-boosted trees) within the Pyomo optimization environment. The package provides various optimization formulations for machine learning models (such as full-space, reduced-space, and MILP) as well as an interface to import sequential Keras and general ONNX models.
 
-Please reference this software package as:
-```
-@misc{ceccon2022omlt,
-     title={OMLT: Optimization & Machine Learning Toolkit}, 
-     author={Francesco Ceccon and Jordan Jalving and Joshua Haddad and Alexander Thebelt and Calvin Tsay and Carl D. Laird and Ruth Misener},
-     year={2022},
-     eprint={2202.02414},
-     archivePrefix={arXiv},
-     primaryClass={stat.ML}
-}
-```
+Please reference the `preprint <https://arxiv.org/abs/2202.02414>`_ of this software package as:
+
+::
+
+     @misc{ceccon2022omlt,
+          title={OMLT: Optimization & Machine Learning Toolkit},
+          author={Ceccon, F. and Jalving, J. and Haddad, J. and Thebelt, A. and Tsay, C. and Laird, C. D. and Misener, R.},
+          year={2022},
+          eprint={2202.02414},
+          archivePrefix={arXiv},
+          primaryClass={stat.ML}
+     }
+
 
 Examples
 ========