Update README.md

README.md

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 # daVinci-origin-7B
 
-**daVinci-origin-7B** is a fully transparent, 7-billion parameter foundation model trained from scratch. It serves as a "clean-room" baseline for the research paper [*Data Darwinism -- Part1: Unlocking the Value of Scientific Data for Pre-training*](https://github.com/GAIR-NLP/Data-Darwinism).
+**daVinci-origin-7B** is a fully transparent, 7-billion parameter foundation model trained from scratch. It serves as a "clean-room" baseline for the research paper [*Data Darwinism -- Part1: Unlocking the Value of Scientific Data for Pre-training*](https://arxiv.org/pdf/2602.07824).
 
 Unlike most open-source models, daVinci-origin-7B was explicitly trained on a dataset **strictly excluding scientific content** (books and research papers). This unique design allows researchers to unambiguously attribute performance gains to specific domain data injection strategies during continued pre-training.