Update model card: add arXiv:2609.09554 link + BibTeX, fix project URL to buzz-asr

README.md

@@ -13,7 +13,8 @@ metrics: [cer, wer]
 
 A monolingual automatic speech recognition model for **Ukrainian**, fine-tuned from
 [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3). Part of **BuzzASR**,
-a suite of 102 language-specialized ASR models (Findings of EMNLP 2026).
+a suite of 102 language-specialized ASR models
+([paper: arXiv:2609.09554](https://arxiv.org/abs/2609.09554), Findings of EMNLP 2026).
 
 This model uses **simple fine-tuning (Whisper's tokenizer, ASR fine-tuning only)**.
 
@@ -49,5 +50,20 @@ The language/task prompt is baked into the generation config, so no `language=`
 ## Limitations
 Monolingual (Ukrainian only). Evaluated on FLEURS / Common Voice test splits; other domains or dialects may differ.
 
-## Citation
-Project page: https://lemn-lab.github.io/buzzasr-docs/
+## Links & citation
+- **Paper:** https://arxiv.org/abs/2609.09554 (Findings of EMNLP 2026)
+- **Project page:** https://lemn-lab.github.io/buzz-asr/
+- **All models:** https://huggingface.co/BuzzASR
+
+```bibtex
+@misc{buzzasr2026,
+  title         = {BuzzASR: A Swarm of 100+ Monolingual Speech Recognition Models},
+  author        = {Shivam Singh and Aditya Yadavalli and Catherine Arnett and Alex Warstadt},
+  year          = {2026},
+  eprint        = {2609.09554},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CL},
+  note          = {Findings of the Association for Computational Linguistics: EMNLP 2026},
+  url           = {https://arxiv.org/abs/2609.09554}
+}
+```