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Add GitHub link; paper and citation coming soon

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@@ -16,8 +16,8 @@ per-dataset training.
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  This variant was post-trained with expression-size penalty 位 = 0.15. It trades a little fit for smaller expressions than the default RASR-94M-L.
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- - **Paper:** *Improving Neural Symbolic Regression with a Diverse Prior and Post-training Alignment* (TODO: link)
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- - **Code:** TODO: GitHub link
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  ## Variants
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@@ -30,7 +30,7 @@ This variant was post-trained with expression-size penalty 位 = 0.15. It trades
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  ## Usage
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- Install the RASR code (TODO: GitHub link). The weights are downloaded automatically on first use:
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  ```python
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  from src.rasr.inference.rasr import RASR
@@ -66,6 +66,4 @@ See the paper for the full evaluation.
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  ## Citation
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- ```bibtex
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- TODO
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- ```
 
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  This variant was post-trained with expression-size penalty 位 = 0.15. It trades a little fit for smaller expressions than the default RASR-94M-L.
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+ - **Paper:** *Improving Neural Symbolic Regression with a Diverse Prior and Post-training Alignment* (coming soon)
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+ - **Code:** [github.com/automl/rasr](https://github.com/automl/rasr)
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  ## Variants
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  ## Usage
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+ Install the RASR code from [github.com/automl/rasr](https://github.com/automl/rasr). The weights are downloaded automatically on first use:
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  ```python
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  from src.rasr.inference.rasr import RASR
 
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  ## Citation
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+ Coming soon.