Model card: add MacroCast paper (SSRN) + citation; TempoPFN as plain-text cite

README.md

@@ -12,6 +12,10 @@ pipeline_tag: time-series-forecasting
 
 # MacroCast
 
+**Paper:** Carriero, Pettenuzzo & Shekhar (2026), *MACROCAST: A Vintage-Consistent
+Time Series Foundation Model for Real-Time Macroeconomic Forecasting* —
+[available on SSRN](https://ssrn.com/abstract=7004218).
+
 **MacroCast** is a compact (~1.2M-parameter) time-series foundation model for
 **macroeconomic forecasting**. It forecasts a full panel of monthly
 indicators in a **single forward pass** (no autoregressive windowing) and returns
@@ -76,8 +80,22 @@ point, quantiles = f.predict(history, horizon=12, freq="M")
 - Built for **monthly macroeconomic** panels. Feed transformed/stationary inputs.
 - Forecasts are statistical outputs, **not financial or policy advice**.
 
+## Citation
+If you use MacroCast, please cite:
+
+```bibtex
+@misc{carriero2026macrocast,
+  title        = {{MACROCAST}: A Vintage-Consistent Time Series Foundation Model for Real-Time Macroeconomic Forecasting},
+  author       = {Carriero, Andrea and Pettenuzzo, Davide and Shekhar, Shubhranshu},
+  year         = {2026},
+  howpublished = {SSRN preprint},
+  doi          = {10.2139/ssrn.7004218},
+  url          = {https://ssrn.com/abstract=7004218}
+}
+```
+
 ## Acknowledgements & license
 Built on [TempoPFN](https://github.com/automl/TempoPFN) (Apache-2.0): the model
 backbone, trainer, and synthetic-data generators are vendored from that project
 and modified for macroeconomic forecasting. Released under Apache-2.0. Please
-cite TempoPFN (Moroshan et al., 2025; [arXiv:2510.25502](https://arxiv.org/abs/2510.25502)).
+also cite TempoPFN (Moroshan et al., 2025, arXiv 2510.25502).