Update README.md

README.md

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 The Astro-HEP-BERT project demonstrates the general feasibility of training a customized bidirectional transformer for computational conceptual analysis in the history, philosophy, and sociology of science as an open-source endeavor that does not require a substantial budget. Leveraging only freely available code, weights, and text inputs, the entire training process was conducted on a single MacBook Pro Laptop (M2/96GB).
 
-For further insights into the model, the corpus, and the underlying research project (<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3030/101044932" >Network Epistemology in Practice</a>) please refer to the Astro-HEP-BERT paper [link coming soon].
+For further insights into the model, the corpus, and the underlying research project (<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3030/101044932" >Network Epistemology in Practice</a>) please refer to the following two papers:
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+1) <a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2411.14877">Simons, A. (2024). Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics. arXiv:2411.14877.</a>
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+2) <a target="_blank" rel="noopener noreferrer" href="https://arxiv.org/abs/2411.14073">Simons, A. (2024). Meaning at the planck scale? Contextualized word embeddings for doing history, philosophy, and sociology of science. arXiv:2411.14073.</a>
 
-<!-- <a target="_blank" rel="noopener noreferrer" href="">Astro-HEP-BERT paper</a>. -->
 
 ## Model Details