diff --git a/README.md b/README.md
index ba7f7c63..327580bc 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ Graph Neural Networks are implemented using [PyG](https://pyg.org/) and logging
     <em>Example ensemble forecast from Graph-EFM for specific humidity at 700 hPa.</em>
 </p>
 
-This branch contains the code for our paper *Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks*, for global forecasting.
+This branch contains the code for our paper [*Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks*](https://arxiv.org/abs/2406.04759), for global forecasting.
 In particular, it contains implementations of:
 
 * Our ensemble forecasting model Graph-EFM.