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@@ -56,6 +56,8 @@ MSE loss starts at ~0.268, dips to ~0.243 around evaluation 1.0, then rises agai
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  - `training_log.txt` — full log of loss evaluations and transpilation
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  - `requirements.txt` — dependencies for reproduction
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  ## Usage / Inference
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  ```python
 
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  - `training_log.txt` — full log of loss evaluations and transpilation
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  - `requirements.txt` — dependencies for reproduction
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  ## Usage / Inference
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  ```python