diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
 # PyHammer
 
 [![GitHub release](https://img.shields.io/github/release/BU-hammerTeam/PyHammer.svg)](https://github.com/BU-hammerTeam/PyHammer/releases/latest)
-[![GitHub commits](https://img.shields.io/github/commits-since/BU-hammerTeam/PyHammer/v1.2.0.svg)](https://github.com/BU-hammerTeam/PyHammer/commits/master)
+[![GitHub commits](https://img.shields.io/github/commits-since/BU-hammerTeam/PyHammer/v2.0.0.svg)](https://github.com/BU-hammerTeam/PyHammer/commits/master)
 [![GitHub issues](https://img.shields.io/github/issues/BU-hammerTeam/PyHammer.svg)](https://github.com/BU-hammerTeam/PyHammer/issues)
 [![license](https://img.shields.io/github/license/BU-hammerTeam/PyHammer.svg)](https://github.com/BU-hammerTeam/PyHammer/blob/master/license.txt)
 [![Python Supported](https://img.shields.io/badge/Python%20Supported-3-brightgreen.svg)](conda)
@@ -12,19 +12,19 @@
 
 PyHammer is a tool developed to allow rapid and automatic spectral classification of stars according to the Morgan-Keenan classification system. Working in the range of 3,650 - 10,200 Angstroms, the automatic spectral typing algorithm compares important spectral lines to template spectra and determines the best matching spectral type, ranging from O to L type stars. This tool has the additional features that it can determine a star's metallicity ([Fe/H]) and radial velocity shifts. Once the automatic classification algorithm has run, PyHammer provides the user an interface for determining spectral types visually by comparing their spectra to provided templates.
 
-Version 2.0.0 of PyHammer adds the ability to spectral type double-lined spectroscopic binaries (SB2). This updates adds new SB2 templates which were constructed in natural units (i.e. Watts/Å) using GaiaDR2 distances. This is done using a library of luminosity normalized spectra. This library was created from a combination of the [MaStar](https://www.sdss.org/surveys/mastar/) survey from [SDSS-IV](https://www.sdss.org) and the [Pickles+1998](https://ui.adsabs.harvard.edu/abs/1998PASP..110..863P/abstract) library. The Pickles library was used for OBAF stars while MaStar and SDSS was used for the GKM, C, WD stars. 
+Version 2.0.0 of PyHammer adds the ability to spectral type double-lined spectroscopic binaries (SB2). This updates adds new SB2 templates which were constructed in natural units (i.e. ergs /s /Å) using GaiaDR2 distances. This is done using a library of luminosity normalized spectra. This library was created from a combination of the [MaStar](https://www.sdss.org/surveys/mastar/) survey from [SDSS-IV](https://www.sdss.org) and the [Pickles+1998](https://ui.adsabs.harvard.edu/abs/1998PASP..110..863P/abstract) library. The Pickles library was used for OBAF stars while MaStar and SDSS was used for the GKM, C, WD stars. 
 
 Modeled after [The Hammer: An IDL Spectral Typing Suite][thehammer] published in [Covey et al. 2007][covey+07] available on [GitHub][hammerGitHub].
 
 See the [PyHammer Wiki](https://github.com/BU-hammerTeam/PyHammer/wiki) for more information on how to install and use this program.
 
-Information on how the luminosity spectra are added to create SB2 templates can be found in the [Roulston+2020]() paper and corresponding code at [SB2][SB2_GitHub].
+Information on how the luminosity spectra are added to create SB2 templates can be found in the [Roulston+2020][Roulston_arXiv] paper.
 
 ### Publications
 
 PyHammer 1.0.0 is detailed in our accepted Astrophysical Journal Supplements [Kesseli et al. (2017)][Kesseli_apjs].
 
-PyHammer 2.0.0 is detailed in our upcoming Astrophysical Journal Supplements [Roulston et al. (2020)]()
+PyHammer 2.0.0 is detailed in our upcoming Astrophysical Journal Supplements [Roulston et al. (2020)][Roulston_arXiv]
 
 ![GUI](./resources/PyHammer2_GUI.png?raw=true)
 
@@ -33,4 +33,5 @@ PyHammer 2.0.0 is detailed in our upcoming Astrophysical Journal Supplements [Ro
 [hammerGitHub]: https://github.com/jradavenport/TheHammer
 [pyhammerwiki]: https://github.com/BU-hammerTeam/PyHammer/wiki
 [Kesseli_apjs]: http://iopscience.iop.org/article/10.3847/1538-4365/aa656d/pdf
+[Roulston_arXiv]: https://arxiv.org/abs/2006.01199
 [SB2_GitHub]: https://github.com/broulston/SB2