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Add retrained PolyEdit checkpoint and audit artifacts

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+ ---
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+ library_name: pytorch
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+ tags:
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+ - polymers
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+ - property-prediction
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+ - graph-transformer
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+ - polyedit
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+ ---
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+
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+ # PolyEdit MIPS-retrained
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+
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+ This is a leakage-controlled retraining of the public MIPS architecture for the eight
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+ PolyEdit DFT properties: `Egc`, `Egb`, `Eea`, `Ei`, `EPS`, `Nc`, `Xc`, and `Eat`.
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+ It is **not** a checkpoint released by the MIPS authors. The public repository does not
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+ include its required MAE or downstream checkpoints, so weights were trained from scratch
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+ on PolyEdit train components.
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+
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+ The model uses MIPS star-link polymer graphs, complete-graph path features, the 200-D
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+ molecular-descriptor modality, the 512-D 3D atom-pair modality, and the public
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+ `KfuseGraphTransformer` with cross-attention fusion. The split contains 1,300 train,
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+ 75 validation, and 953 held-out polymer records with zero connected-component overlap.
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+
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+ The strict target tolerances are much narrower than this retrained evaluator's held-out
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+ errors. When the true reference targets themselves are scored, only 10.996% fall inside
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+ the requested tolerance. MIPS-based generation numbers must therefore be presented as
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+ evaluator hit rates alongside this calibration, not as ground-truth chemical success.
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+
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+ Upstream code: <https://github.com/wjxts/MIPS>
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+
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+ PolyEdit implementation and full metrics: <https://github.com/promotion-kim/POLYEDIT/tree/tsyou/balanced-polymer-baseline-eval>