update arXiv links

Priya Goyal · Priya Goyal · commit 25a93591de5c · 2018-02-13T17:28:12.000-08:00
diff --git a/docs/source/performance.rst b/docs/source/performance.rst
@@ -2,7 +2,7 @@ Performance of TC
 =================
 
 TC can generate competitive code in a variety of cases thanks to its
-Autotuner (see our companion paper: `ArXiV <link>`_).
+Autotuner (see our companion paper: `arXiv <https://arxiv.org/abs/1802.04730>`_).
 We will provide a set of benchmarks to illustrate the cases in
 which it is recommended to use TC.
 
diff --git a/docs/source/report.rst b/docs/source/report.rst
@@ -14,4 +14,4 @@ Tech Report
 `Albert Cohen <https://who.rocq.inria.fr/Albert.Cohen>`_ (Inria & DI ENS & FAIR)
 
 We provide more details about Tensor Comprehensions in our tech report which can be found
-here on `ArXiV <link>`_
+here on `arXiv <https://arxiv.org/abs/1802.04730>`_
