Update README.md

README.md

@@ -163,4 +163,18 @@ embedded_query = ckpt.queryFromText(["Who dubs Howl's in English?"], bsize=16)
 | **FEVER**       |    **90.96**     |    78.5     |
 | **QuoraRetrieval** |    **87.72**     |  85.2   |
 | **SCIDOCS**     |    **18.42**     |    15.4     |
-| **SciFact**     |    **74.77**     |    69.3     |
+| **SciFact**     |    **74.77**     |    69.3     |
+
+
+## Referencing
+
+We'll most likely eventually release a technical report. In the meantime, if you use this model or other models following the JaColBERTv2.5 recipe and would like to give us credit, please cite the JaColBERTv2.5 journal pre-print:
+
+```
+@article{clavie2024jacolbertv2,
+  title={JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources},
+  author={Clavi{\'e}, Benjamin},
+  journal={arXiv preprint arXiv:2407.20750},
+  year={2024}
+}
+```