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README.md

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 TinyComma 1.8B is a 1.8B parameter, decoder-only base LM trained entirely on permissively licensed data from the [Common Pile](https://huggingface.co/collections/common-pile/common-pile-v01). Different from the official Comma model series, TinyComma 1.8B uses the 128K-vocabulary [Llama3](https://huggingface.co/collections/meta-llama/llama-31) tokenizer to ensure compatibility with two-model decoding setups.
 We trained TinyComma 1.8B to support our research on inference-time copyright mitigation. 
-Check out our paper, [Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model](...), for more details!
+Check out our paper, [Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model](https://arxiv.org/abs/2602.07120), for more details!
 
 ## Benchmarking TinyComma 1.8B