diff --git a/README.md b/README.md
index 0d00337..1b8d34e 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # YOLOv4-large
 
-This is the implementation of "Scaled-YOLOv4: Scaling Cross Stage Partial Network" using PyTorch framwork.
+This is the implementation of "[Scaled-YOLOv4: Scaling Cross Stage Partial Network](https://arxiv.org/abs/2011.08036)" using PyTorch framwork.
 
 ## Installation
 
@@ -20,6 +20,8 @@ cd /yolo
 
 ## Testing
 
+[`yolov4-p5.pt`](https://drive.google.com/file/d/1aXZZE999sHMP1gev60XhNChtHPRMH3Fz/view?usp=sharing) [`yolov4-p6.pt`](https://drive.google.com/file/d/1aB7May8oPYzBqbgwYSZHuATPXyxh9xnf/view?usp=sharing) [`yolov4-p7.pt`](https://drive.google.com/file/d/18fGlzgEJTkUEiBG4hW00pyedJKNnYLP3/view?usp=sharing) 
+
 ```
 # download {yolov4-p5.pt, yolov4-p6.pt, yolov4-p7.pt} and put them in /yolo/weights/ folder.
 python test.py --img 896 --conf 0.001 --batch 8 --device 0 --data coco.yaml --weights weights/yolov4-p5.pt
@@ -90,3 +92,14 @@ Just `Ctrl+C` to stop training and resume training by:
 # yolov4-p5
 python -m torch.distributed.launch --nproc_per_node 4 train.py --batch-size 64 --img 896 896 --data coco.yaml --cfg yolov4-p5.yaml --weights 'runs/exp0_yolov4-p5/weights/last.pt' --sync-bn --device 0,1,2,3 --name yolov4-p5 --resume
 ```
+
+## Citation
+
+```
+@article{wang2020scaled,
+  title={{Scaled-YOLOv4}: Scaling Cross Stage Partial Network},
+  author={Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
+  journal={arXiv preprint arXiv:2011.08036},
+  year={2020}
+}
+```