diff --git a/examples/Cifar10Resize/readme.md b/examples/Cifar10Resize/readme.md
index bf4b0224..a57cd5f9 100644
--- a/examples/Cifar10Resize/readme.md
+++ b/examples/Cifar10Resize/readme.md
@@ -2,7 +2,7 @@
 This folder contains a program that resizes CIFAR-10 and CIFAR-100 images to 64x64 and 128x128 pixels. 
 
 ## Original Work
-The [CIFAR-10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html) is a fantastic contribution to computer science made by the original authors.
+The [CIFAR-10 Dataset](https://www.cs.toronto.edu/~kriz/cifar.html) is a fantastic [contribution](https://paperswithcode.com/dataset/cifar-10) to computer science made by the original authors.
 Please refer to https://www.cs.toronto.edu/~kriz/cifar.html and to [Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009](https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf) for the original work.
 
 ## Resizing Images
@@ -20,3 +20,17 @@ You can download resized images from:
 * https://www.kaggle.com/joaopauloschuler/cifar10-64x64-resized-via-cai-super-resolution
 * https://www.kaggle.com/joaopauloschuler/cifar10-128x128-resized-via-cai-super-resolution
 * https://www.kaggle.com/joaopauloschuler/cifar100-128x128-resized-via-cai-super-resolution
+
+## Citing this Work
+You can cite this work in BibTeX format with:
+```
+@software{cai_neural_api_2021_5810077,
+  author       = {Joao Paulo Schwarz Schuler},
+  title        = {CAI NEURAL API},
+  month        = dec,
+  year         = 2021,
+  publisher    = {Zenodo},
+  version      = {v1.0.6},
+  doi          = {10.5281/zenodo.5810077},
+  url          = {https://doi.org/10.5281/zenodo.5810077}
+}