Update README.md

README.md

@@ -89,6 +89,28 @@ Such categorization supports **policy analysis, thematic mapping of central bank
 |            |           |           |             | **Process**      | 0.927     | 0.845  | 0.884 |
 |            |           |           |             | **Risk-Benefit** | 0.700     | 0.817  | 0.754 |
 
+---
+
+## Other CBDC Models
+
+This model is part of the **CentralBank-BERT / CBDC model family**, a suite of domain-adapted classifiers for analyzing central-bank communication.
+
+| **Model**                       | **Purpose**                                                         | **Intended Use**                                                    | **Link**                                                               |
+| ------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------- | ---------------------------------------------------------------------- |
+| **bilalzafar/CentralBank-BERT** | Domain-adaptive masked LM trained on BIS speeches (1996–2024).      | Base encoder for CBDC downstream tasks; fill-mask tasks.            | [CentralBank-BERT](https://huggingface.co/bilalzafar/CentralBank-BERT) |
+| **bilalzafar/CBDC-BERT**        | Binary classifier: CBDC vs. Non-CBDC.                               | Flagging CBDC-related discourse in large corpora.                   | [CBDC-BERT](https://huggingface.co/bilalzafar/CBDC-BERT)               |
+| **bilalzafar/CBDC-Stance**      | 3-class stance model (Pro, Wait-and-See, Anti).                     | Research on policy stances and discourse monitoring.                | [CBDC-Stance](https://huggingface.co/bilalzafar/CBDC-Stance)           |
+| **bilalzafar/CBDC-Sentiment**   | 3-class sentiment model (Positive, Neutral, Negative).              | Tone analysis in central bank communications.                       | [CBDC-Sentiment](https://huggingface.co/bilalzafar/CBDC-Sentiment)     |
+| **bilalzafar/CBDC-Type**        | Classifies Retail, Wholesale, General CBDC mentions.                | Distinguishing policy focus (retail vs wholesale).                  | [CBDC-Type](https://huggingface.co/bilalzafar/CBDC-Type)               |
+| **bilalzafar/CBDC-Discourse**   | 3-class discourse classifier (Feature, Process, Risk-Benefit).      | Structured categorization of CBDC communications.                   | [CBDC-Discourse](https://huggingface.co/bilalzafar/CBDC-Discourse)     |
+| **bilalzafar/CentralBank-NER**  | Named Entity Recognition (NER) model for central banking discourse. | Identifying institutions, persons, and policy entities in speeches. | [CentralBank-NER](https://huggingface.co/bilalzafar/CentralBank-NER)   |
+
+
+## Repository and Replication Package
+
+All **training pipelines, preprocessing scripts, evaluation notebooks, and result outputs** are available in the companion GitHub repository:
+
+🔗 **[https://github.com/bilalezafar/CentralBank-BERT](https://github.com/bilalezafar/CentralBank-BERT)**
 
 ---
 
@@ -115,4 +137,21 @@ for s in sentences:
 # Example output 
 # [{The central bank launched a pilot project for CBDC cross-border settlement. → Process (score=0.9989)}]
 # [{Programmability in CBDC allows conditional payments. → Feature (score=0.9991)}]
-# [{CBDC may increase risks of bank disintermediation. → Risk-Benefit (score=0.9986)}]
+# [{CBDC may increase risks of bank disintermediation. → Risk-Benefit (score=0.9986)}]
+```
+---
+
+## Citation
+
+If you use this model, please cite as:
+
+**Zafar, M. B. (2025). *CentralBank-BERT: Machine Learning Evidence on Central Bank Digital Currency Discourse*. SSRN. [https://papers.ssrn.com/abstract=5404456](https://papers.ssrn.com/abstract=5404456)**
+
+```bibtex
+@article{zafar2025centralbankbert,
+  title={CentralBank-BERT: Machine Learning Evidence on Central Bank Digital Currency Discourse},
+  author={Zafar, Muhammad Bilal},
+  year={2025},
+  journal={SSRN Electronic Journal},
+  url={https://papers.ssrn.com/abstract=5404456}
+}