Update README.md

README.md

@@ -72,7 +72,7 @@ Hugging Face 08/18/2025  via [https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano
 
 ## Reference(s)
 
-[NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model](https://research.nvidia.com/labs/adlr/files/NVIDIA-Nemotron-Nano-2-Technical-Report.pdf) 
+[NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model](https://arxiv.org/abs/2508.14444)
 
 ## Model Architecture
 
@@ -407,4 +407,18 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 
 For more detailed information on ethical considerations for this model, please see the Model Card++ [Bias](bias.md), [Explainability](explainability.md), [Safety & Security](safety.md), and [Privacy](privacy.md) Subcards.
 
-Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
+Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
+
+## Citation
+
+```
+@misc{nvidia2025nvidianemotronnano2,
+      title={NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model},
+      author={NVIDIA},
+      year={2025},
+      eprint={2508.14444},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2508.14444},
+}
+```