Update README.md

README.md

@@ -5,7 +5,7 @@ language:
 ---
 This is a transformers model trained on the U.S. Comparative Agendas Project (CAP) dataset, annotated with a top-level taxonomy covering 20 policy areas, as well as an "Others" category for non-policy-related text. The model is designed to identify policy and non-policy issues in political discourse.
 
-This model was trained specifically for additional analyses presented in this [paper](https://doi.org/10.48550/arXiv.2405.07323).
+This model was trained specifically for additional analyses presented in this [paper](https://doi.org/10.1038/s41562-025-02136-2).
 
 
 
@@ -46,10 +46,13 @@ The model performance on unseen test set is as follows:
 ## Citation
 If you find this model useful for your work, please consider citing:
 ```bibtex
-@article{aroyehun2024computational,
-  title={Computational analysis of US Congressional speeches reveals a shift from evidence to intuition},
-  author={Aroyehun, Segun Taofeek and Simchon, Almog and Carrella, Fabio and Lasser, Jana and Lewandowsky, Stephan and Garcia, David},
-  journal={arXiv preprint arXiv:2405.07323},
-  year={2024}
+@article{aroyehun2025computational,
+  title={Computational analysis of US congressional speeches reveals a shift from evidence to intuition},
+  author={Aroyehun, Segun T and Simchon, Almog and Carrella, Fabio and Lasser, Jana and Lewandowsky, Stephan and Garcia, David},
+  journal={Nature Human Behaviour},
+  year={2025},
+  doi={10.1038/s41562-025-02136-2},
+  url={https://doi.org/10.1038/s41562-025-02136-2}  
 }
+
 ```