Updated citation (#27, #28)

Co-authored-by: eddiebergman <[email protected]>

Author: renesass

README.md

@@ -90,6 +90,29 @@ You can find more arguments and information (like using custom configurations) i
 [documentation](https://automl.github.io/DeepCAVE/main/getting_started.html).
 
 
+## Example runs
+
+DeepCAVE comes with some pre-evaluated runs to get a feel for what DeepCAVE can do.
+
+When you installed the package from GitHub via `git clone [email protected]:automl/DeepCAVE.git; pip install -e DeepCAVE`,
+you can try out some examples by exploring the `logs` directory inside the DeepCAVE dashboard.
+For example, if you navigate to `logs/DeepCAVE`, you can view the run `mnist_pytorch` if you hit
+the `+` button.
+
+
 ## Citation
 
-Currently, DeepCAVE is under review.
+If you use DeepCAVE in one of your research projects, please cite our [ReALML@ICML'22 workshop paper](https://arxiv.org/abs/2206.03493):
+```
+@misc{sass-realml2022,
+    title = {DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning},
+    author = {Sass, René and Bergman, Eddie and Biedenkapp, André and Hutter, Frank and Lindauer, Marius},
+    doi = {10.48550/ARXIV.2206.03493},
+    url = {https://arxiv.org/abs/2206.03493},
+    publisher = {arXiv},
+    year = {2022},
+    copyright = {arXiv.org perpetual, non-exclusive license}
+}
+```
+
+Copyright (C) 2016-2022  [AutoML Group](http://www.automl.org/).

docs/index.rst

@@ -41,4 +41,24 @@ Features
 - Help buttons and integrated documentation in the interface helps you to understand the plugins.
 - Use the matplotlib mode to customize and save the plots for your publication.
 - The API mode gives you full access to the code, while you do not have to interact with the 
-  interface. Otherwise, you can also make use of the raw data, provided by every plugin.
+  interface. Otherwise, you can also make use of the raw data, provided by every plugin.
+
+
+
+Citation
+^^^^^^^^
+
+If you use DeepCAVE in one of your research projects, please cite our `ReALML@ICML'22 workshop paper <https://arxiv.org/abs/2206.03493>`_:
+
+.. code-block:: text
+
+    @misc{sass-realml2022,
+      title = {DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning},
+      author = {Sass, René and Bergman, Eddie and Biedenkapp, André and Hutter, Frank and Lindauer, Marius},
+      doi = {10.48550/ARXIV.2206.03493},
+      url = {https://arxiv.org/abs/2206.03493},
+      publisher = {arXiv},
+      year = {2022},
+      copyright = {arXiv.org perpetual, non-exclusive license}
+    }
+