Add paper title and citation (bioRxiv preprint)

README.md

@@ -15,7 +15,7 @@ tags:
 # monoyield-predictor: trained weights
 
 LoRA adapters and regression heads that predict the **monomeric expression yield in *E. coli*** (log10 mg/L) of a protein sequence.
-Companion weights of the paper *[title - to be filled]* and the code repository **https://github.com/tsubo-lab/monoyield-predictor**.
+Companion weights of the paper *Massively parallel quantification and prediction of monomeric protein yield in Escherichia coli* (bioRxiv preprint, https://doi.org/10.64898/2026.11.02.763507) and the code repository **https://github.com/tsubo-lab/monoyield-predictor**.
 
 The files contain only the trained LoRA matrices and the regression head (7-12 MB per fold). The frozen base models are downloaded from Hugging Face when the code runs.
 
@@ -46,4 +46,16 @@ The adapters are released under the Apache License 2.0 (Copyright 2026 Kotaro Ts
 ESMC-6B (MIT with third-party notices and the Biohub Acceptable Use Policy, https://biohub.org/acceptable-use-policy/) and SaProt (MIT).
 
 ## Citation
-[to be filled]
+If you use these weights, please cite the preprint:
+
+Setsu S, Kiyokawa K, Lam AYW, Mishiro-Sato E, Tomari Y, Tsuboyama K. Massively parallel quantification and prediction of monomeric protein yield in *Escherichia coli*. *bioRxiv* (2026). https://doi.org/10.64898/2026.11.02.763507
+
+```bibtex
+@article{setsu2026monoyield,
+  title   = {Massively parallel quantification and prediction of monomeric protein yield in Escherichia coli},
+  author  = {Setsu, Selena and Kiyokawa, Kaori and Lam, Andy Y. W. and Mishiro-Sato, Emi and Tomari, Yukihide and Tsuboyama, Kotaro},
+  journal = {bioRxiv},
+  year    = {2026},
+  doi     = {10.64898/2026.11.02.763507}
+}
+```