Update README.md

README.md

@@ -23,7 +23,7 @@ The model was pre-trained for up to 100 epochs on one million S-1 GRD images fro
 
 ## Usage
 
-The tokenizer is fully integrated into the fine-tuning toolkit [TerraTorch](https://ibm.github.io/terratorch/).
+The tokenizer is fully integrated into the fine-tuning toolkit [TerraTorch](https://terrastackai.github.io/terratorch/).
 You can initialize the pre-trained tokenizer with:
 
 ```python
@@ -55,13 +55,13 @@ If you have feedback or any questions, please start a discussion in this HF repo
 
 ## Citation
 
-If you use TerraMind in your research, please cite our [TerraMind](https://arxiv.org/abs/2504.11171) pre-print.
+If you use TerraMind in your research, please cite our [TerraMind](https://arxiv.org/abs/2504.11171) paper.
 
 ```text
 @article{jakubik2025terramind,
   title={TerraMind: Large-Scale Generative Multimodality for Earth Observation},
   author={Jakubik, Johannes and Yang, Felix and Blumenstiel, Benedikt and Scheurer, Erik and Sedona, Rocco and Maurogiovanni, Stefano and Bosmans, Jente and Dionelis, Nikolaos and Marsocci, Valerio and Kopp, Niklas and others},
-  journal={arXiv preprint arXiv:2504.11171},
+  journal={IEEE/CVF International Conference on Computer Vision (ICCV)},
   year={2025}
 }
 ```