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@@ -44,3 +44,11 @@ model = load_model("final.pt", device="cuda")
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  - **Blog post**: [Scaling Test-Time Verification for Novel Materials](https://dynamicalsystems.ai/blog/scaling-test-time-verification)
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  - **Code**: [Dynamical-Systems-Research/probe-gradient-guidance](https://github.com/Dynamical-Systems-Research/probe-gradient-guidance)
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  - **Crystalite paper**: [arXiv:2604.02270](https://arxiv.org/abs/2604.02270)
 
 
 
 
 
 
 
 
 
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  - **Blog post**: [Scaling Test-Time Verification for Novel Materials](https://dynamicalsystems.ai/blog/scaling-test-time-verification)
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  - **Code**: [Dynamical-Systems-Research/probe-gradient-guidance](https://github.com/Dynamical-Systems-Research/probe-gradient-guidance)
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  - **Crystalite paper**: [arXiv:2604.02270](https://arxiv.org/abs/2604.02270)
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+ ## Used In
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+ This checkpoint was used as an upstream generation asset in the open-world environment pipeline for **Training Scientific Judgment with Verified Environments for Autonomous Science**.
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+ - **Scientific judgment blog post**: [Training Scientific Judgment](https://dynamicalsystems.ai/blog/training-scientific-judgment)
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+ - **Public repo**: [Dynamical-Systems-Research/training-scientific-judgment](https://github.com/Dynamical-Systems-Research/training-scientific-judgment)
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+ - **Paper PDF**: [Training Scientific Judgment with Verified Environments for Autonomous Science](https://github.com/Dynamical-Systems-Research/training-scientific-judgment/blob/main/paper/training-scientific-judgment.pdf)