diff --git a/paper/paper.bib b/paper/paper.bib
index ac6272b0..3f94f79c 100644
--- a/paper/paper.bib
+++ b/paper/paper.bib
@@ -210,6 +210,23 @@ @article{partee2022using
   url = {https://www.sciencedirect.com/science/article/pii/S1877750322001065},
 }
 
+@Online{ICON,
+  accessed = {2025-02-21},
+  author   = {DKRZ},
+  title    = {ICON (Icosahedral Nonhydrostatic) Model},
+  url      = {https://www.icon-model.org/},
+  year={2025},
+}
+
+@Online{CESM,
+  accessed = {2025-02-21},
+  author   = {NCAR},
+  title    = {CESM, the Community Earth System Model},
+  url      = {https://www.cesm.ucar.edu/},
+  year={2025},
+}
+
+
 @article{heuer2024interpretable,
   title={Interpretable multiscale machine learning-based parameterizations of convection for ICON},
   author={Heuer, Helge and Schwabe, Mierk and Gentine, Pierre and Giorgetta, Marco A and Eyring, Veronika},
diff --git a/paper/paper.md b/paper/paper.md
index 7eda1c82..e1b0aca3 100644
--- a/paper/paper.md
+++ b/paper/paper.md
@@ -232,7 +232,7 @@ saving PyTorch models to TorchScript.
   model [@MiMAML] demonstrating variability of models trained offline when coupled to a
   host [@mansfield2024uncertainty].
 
-* to couple a U-Net based model of multi-scale convection into [ICON](https://www.icon-model.org/)
+* to couple a U-Net based model of multi-scale convection into [ICON](https://www.icon-model.org/) [@ICON]
   and demonstrate via Shapley values that
   non-causal learnt relations are more stable when running online [@heuer2024interpretable].
 
@@ -240,9 +240,9 @@ saving PyTorch models to TorchScript.
   new data-driven parameterisations to the Community Atmosphere Model (CAM) running on
   HPC systems.
 
-* As part of CESM (the Community Earth System Model) working to provide a general
-  approach for researchers to couple ML models to the various components of the model
-  suite.
+* As part of [CESM](https://www.cesm.ucar.edu/) (the Community Earth System Model) [@CESM]
+  working to provide a general approach for researchers to couple ML models to the
+  various components of the model suite.
 
 
 # Future development