add a "Citing JAX" section to the README. fixes #1359

README.md

@@ -80,6 +80,7 @@ open](https://github.com/google/jax) by a growing number of
 * [How it works](#how-it-works)
 * [What we're working on](#what-were-working-on)
 * [Current gotchas](#current-gotchas)
+* [Citing JAX](#citing-jax)
 
 ## Quickstart: Colab in the Cloud
 Jump right in using a notebook in your browser, connected to a Google Cloud GPU. Here are some starter notebooks:
@@ -767,6 +768,30 @@ Some stand-out gotchas that might surprise NumPy users:
 
 See [the notebook](https://colab.research.google.com/github/google/jax/blob/master/notebooks/Common_Gotchas_in_JAX.ipynb) for much more information.
 
+## Citing JAX
+
+To cite this repository:
+
+```
+@software{jax2018github,
+  author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and Skye Wanderman-Milne},
+  title = {{JAX}: composable transformations of {P}ython+{N}um{P}y programs},
+  url = {http://github.com/google/jax},
+  version = {0.1.46},
+  year = {2018},
+}
+```
+
+In the above bibtex entry, names are in alphabetical order, the version number
+is intended to be that from [jax/version.py](../blob/master/jax/version.py), and
+the year corresponds to the project's open-source release.
+
+A nascent version of JAX, supporting only automatic differentiation and
+compilation to XLA, was described in a [paper that appeared at SysML
+2018](https://www.sysml.cc/doc/2018/146.pdf). We're currently working on
+covering JAX's ideas and capabilities in a more comprehensive and up-to-date
+paper.
+
 ## Contributors
 
 So far, JAX includes lots of help and [contributions](https://github.com/google/jax/graphs/contributors). In addition to the code contributions reflected on GitHub, JAX has benefitted substantially from the advice of