Update README.md

README.md

@@ -32,4 +32,14 @@ The dataset is released under the Creative Commons Attribution-NonCommercial 2.0
 MuSaG provides 214 elements, each featuring aligned audio, video, and human-reviewed, automatically generated transcripts. All instances are labeled for sarcasm by human annotators through a majority vote. We release the independent annotations from each annotator, as well as modality-specific annotations collected for elements represented in isolated text, audio, and video modalities, enabling analysis and comparison across human perception and model performance.
 
 ## Citation
-If you use this dataset in your research, please cite the associated paper:
+If you use this dataset in your research, please cite the associated paper:
+
+@misc{scott2025musagmultimodalgermansarcasm,
+      title={MuSaG: A Multimodal German Sarcasm Dataset with Full-Modal Annotations}, 
+      author={Aaron Scott and Maike Züfle and Jan Niehues},
+      year={2025},
+      eprint={2510.24178},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.24178}, 
+}