@@ -2,7 +2,7 @@
 
 [Interactive website](https://affirm.github.io/tabular-foundation-models-tutorial/) · [Python notebook](https://colab.research.google.com/github/Affirm/tabular-foundation-models-tutorial/blob/main/materials/notebooks/01_tabicl_primer.ipynb) · [Model landscape](#model-landscape) · [Learning resources](#tutorials-and-learning-resources)
 
-Table as Prompt: An Interactive Guide to Tabular Foundation Models - accepted for presentation at the [NeurIPS 2026 Education Track](https://neurips.cc/Conferences/2026/CallforEducationalResources).
+Table as Prompt: An Interactive Guide to Tabular Foundation Models - accepted for presentation at the [NeurIPS 2026 Education Track](https://neurips.cc/Conferences/2026/CallforEducationalResources). [Read the paper (PDF, submission version)](materials/website/paper.pdf).
 
 ![Tabular Foundation Models Tutorial: Interactive Guide, Papers and Code, and Benchmarks. Tabular in-context learning uses labeled examples and a new row's features as inputs to a pretrained Transformer with fixed weights to predict the new row's label.](assets/tabular-tutorial-overview.png)