Update README.md

README.md

@@ -37,6 +37,8 @@ To encourage the model to learn comprehensive representations of chess positions
 
 Training used two distinct datasets, pre-processed into structured formats to facilitate the self-supervised tasks. These datasets are derived from a large corpus of chess games and positions, available from the Lichess database (https://database.lichess.org/) and the computerchess (https://www.computerchess.org.uk/ccrl/) database.
 
+The full training details and modle architecture can be found in the technical writeup here: https://bluehood.github.io/research/benh_Beyond_Evaluation__Learning_Contextual_Chess_Position_Representations_2025.pdf.
+
 ## Intended Uses & Limitations
 
 ### Intended Use