Update README.md

README.md

@@ -97,4 +97,15 @@ computed by summing, over query tokens, the maximum similarity to a document tok
 The corresponding private training artifacts are in
 [GLINT-data](https://huggingface.co/datasets/chungimungi/GLINT-data). It contains the complete
 prepared SFT data, the 1,046,009-row seven-source KD mixture, and Jina teacher-score parquet
-shards. The repository contains no BEIR evaluation corpus or evaluation labels.
+shards. The repository contains no BEIR evaluation corpus or evaluation labels.
+
+## Citation
+
+```
+@misc{aarush2026glint,
+  title={GLInt: Geometry-Matched Hard Negatives for Late-Interaction Retrieval},
+  author={Aarush},
+  year={2026},
+  howpublished={\url{https://huggingface.co/blog/chungimungi/glint}},
+}
+```