Update model card

README.md

@@ -13,7 +13,7 @@ tags:
 
 Pretrained weights for the paper
 **Linking Modalities, Learning Across Samples: Hypergraph Fusion for Multimodal Retrieval**
-by Anindya Nag, Ambuj Mehrish and Sebastiano Vascon (under review).
+by Anindya Nag, Ambuj Mehrish and Sebastiano Vascon.
 
 This work extends HyVol ([CVML-CFU/HyVol](https://huggingface.co/CVML-CFU/HyVol), WACV 2027)
 into a general training-time hypergraph fusion framework. Observed modalities (video, audio,
@@ -61,7 +61,7 @@ With HyperGRAM, it improves 16 of 17 and 17 of 17. The largest video-to-text gai
 
 ## Citation
 
-The paper is under review. Until it is published, please cite the conference version:
+If you use these weights, please cite:
 
 ```bibtex
 @inproceedings{nag2027hyvol,