minor fix to arvix

app.py

@@ -248,7 +248,9 @@ with gr.Blocks(title="Turin3D Dataset Visualizer") as app:
         The dataset is specifically designed to address the challenges of label scarcity in urban environments. While the validation and test sets are manually annotated to ensure reliable evaluation of segmentation techniques, the training set is intentionally left unlabelled. This encourages the development and benchmarking of semi-supervised and self-supervised learning approaches, which are crucial when extensive ground truth annotations are not available.
 
         The full Turin3D dataset will be made publicly available to support further research in outdoor point cloud segmentation.
-        For more details, please refer to our paper: [![arXiv](https://img.shields.io/badge/arXiv-1234.56789-b31b1b.svg)](https://arxiv.org/abs/1234.56789)
+        For more details, please refer to our paper. <a href="https://arxiv.org/abs/2504.05882" target="_blank">
+    <img src="https://img.shields.io/badge/arXiv-2504.05882-b31b1b.svg" alt="arXiv:2504.05882">
+</a>
         """
     )