added reference to Kelly ArXiv paper

README.md

@@ -1,6 +1,6 @@
 # AutoDepGraph [![Build Status](https://travis-ci.org/AdriaanRol/AutoDepGraph.svg?branch=master)](https://travis-ci.org/AdriaanRol/AutoDepGraph) [![Codacy Badge](https://api.codacy.com/project/badge/Grade/ae46c58617ff45df9ac98446b3dc34ac)](https://www.codacy.com/app/adriaan-rol/AutoDepGraph?utm_source=github.com&utm_medium=referral&utm_content=AdriaanRol/AutoDepGraph&utm_campaign=Badge_Grade) [![Coverage Status](https://coveralls.io/repos/github/AdriaanRol/AutoDepGraph/badge.svg?branch=test_coveralls)](https://coveralls.io/github/AdriaanRol/AutoDepGraph?branch=test_coveralls)
 
-
+AutoDepGraph is a QCoDeS based framework for using dependency graphs to calibrate a system. It is heavily inspired by ["Physical qubit calibration on a directed acyclic graph"](https://arxiv.org/abs/1803.03226). 
 
 ## Overview
 AutoDepGraph consists of two main classes, the CalibrationNode and the Graph.
@@ -63,4 +63,4 @@ python setup.py install --include-path="C:\Program Files\graphviz-2.38_x64\inclu
 - then install autodepgraph and test the installation using `py.test`
 
 ## Acknowledgements
-I would like to thank Julian Kelly for the idea of using a dependency graph for calibrations. I would like to thank Joe Weston for discussions and help in working out the initial design. I would like to acknowledge Livio Ciorciaro for disucssions and as a coauthor of this project. 
+I would like to thank Julian Kelly for the idea of using a dependency graph for calibrations and for early discussions. I would like to thank Joe Weston for discussions and help in working out the initial design. I would like to acknowledge Livio Ciorciaro for disucssions and as a coauthor of this project.