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README.md

@@ -14,7 +14,7 @@ pipeline_tag: image-classification
 </p>
 
 # Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images
-[![arXiv](https://img.shields.io/badge/arXiv-2407.02413-b31b1b.svg)](https://arxiv.org/abs/arxiv_id)
+[![arXiv](https://img.shields.io/badge/arXiv-2407.02413-b31b1b.svg)](https://arxiv.org/abs/2506.19585)
 [![HuggingFace](https://img.shields.io/badge/-HuggingFace-3B4252?style=flat&logo=huggingface&logoColor=)](https://huggingface.co/collections/gsumbul/smarties-685888bb5ecded3f802cc945)
 [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 ![Python 3.10](https://img.shields.io/badge/Python%203.10-3776AB?logo=python&logoColor=FFF&style=flat)
@@ -47,7 +47,7 @@ SMARTIES is a generic and versatile FM lifting sensor-dependent efforts and enab
 > **ℹ️ Note:**
 > 
 > **This repository contains the weights of SMARTIES linear-probed/finetuned models for the following datasets/experiments**  
-> For usage instructions, dataset details, and full documentation, please visit the [SMARTIES GitHub page](https://github.com/gsumbul/SMARTIES). The details of SMARTIES are described in our paper, available on [arXiv](https://arxiv.org/abs/arxiv_id). 
+> For usage instructions, dataset details, and full documentation, please visit the [SMARTIES GitHub page](https://github.com/gsumbul/SMARTIES). The details of SMARTIES are described in our paper, available on [arXiv](https://arxiv.org/abs/2506.19585). 
 
 ### 📋 Evaluation Table
 
@@ -68,7 +68,7 @@ If you use SMARTIES, please cite the paper:
 @article{smarties,
   title={{SMARTIES}: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images},
   author={Gencer Sumbul and Chang Xu and Emanuele Dalsasso and Devis Tuia},
-  journal={arXiv preprint arXiv:arxiv_id},
+  journal={arXiv preprint arXiv:2506.19585},
   year={2025}
 }
 ```