Add library_name, pipeline_tag and links to paper/code

README.md

@@ -1,22 +1,28 @@
 ---
-license: mit
 base_model: Qwen/Qwen3-8B
-tags:
-  - forecasting
-  - reasoning
-  - question-answering
-  - reinforcement-learning
-  - calibration
 datasets:
-  - nikhilchandak/OpenForesight
+- nikhilchandak/OpenForesight
 language:
-  - en
+- en
+license: mit
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- forecasting
+- reasoning
+- question-answering
+- reinforcement-learning
+- calibration
 ---
 
 # OpenForecaster-8B
 
 **OpenForecaster-8B** is a specialized language model for forecasting and predicting future events. This model is post-trained from **Qwen3-8B** using reinforcement learning on the [OpenForesight dataset](https://huggingface.co/datasets/nikhilchandak/OpenForesight).
 
+It was introduced in the paper [Scaling Open-Ended Reasoning to Predict the Future](https://huggingface.co/papers/2512.25070).
+
+**🌐 [Website](https://openforecaster.github.io) | 📄 [Paper](https://huggingface.co/papers/2512.25070) | 💻 [Code](https://github.com/OpenForecaster/scaling-forecasting-training)**
+
 ## Model Description
 
 OpenForecaster-8B is designed to make calibrated predictions on open-ended questions about future events. The model has been trained to:
@@ -57,12 +63,6 @@ OpenForecaster-8B achieves competitive performance with much larger models like
 - **Better Calibration**: More reliable confidence estimates 
 - **Enhanced Consistency**: Reduced logical violations in predictions
 
-## More Information
-
-For more details about the model, training process, and evaluation results, please visit our website:
-
-**🌐 [https://openforecaster.github.io](https://openforecaster.github.io)**
-
 ## Citation
 
 ```bibtex
@@ -79,4 +79,4 @@ This model is released under the MIT License.
 
 ## Contact
 
-For questions or issues, please visit our [website](https://openforecaster.github.io) or open an issue on the model repository.
+For questions or issues, please visit our [website](https://openforecaster.github.io) or open an issue on the model repository.