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.gitignore ADDED
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+ # Local scratch files
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+ .DS_Store
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+ *.tmp
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+ *.log
README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: en
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+ license: mit
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+ library_name: pytorch
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+ tags:
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+ - materials-science
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+ - x-ray-diffraction
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+ - crystallography
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+ - evaluation
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+ - neurips
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+ ---
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+
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+ # InformedXRD Case-Study Checkpoints
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+
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+ This staging directory is the draft Hugging Face model card for the NeurIPS Evaluations & Datasets artifact release associated with *InformedXRD*.
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+
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+ ## Contents
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+
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+ The intended public model repo contains only the checkpoints needed to reproduce the paper's evaluation case studies:
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+
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+ - four ViT checkpoints used in the main ranking and calibration comparisons
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+ - one legacy replay-era ViT baseline
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+ - one 1D residual CNN control checkpoint
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+
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+ It does **not** contain:
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+
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+ - the full companion-paper checkpoint archive
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+ - training code snapshots
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+ - benchmark HDF5 payloads
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+
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+ ## Recommended filenames
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+
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+ The staged CNN control checkpoint has been renamed to a neutral, paper-facing artifact name:
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+
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+ - `pxrd_cnn_control_checkpoint.pt`
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+
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+ The remaining ViT filenames are kept as-is for now because they align with the existing public checkpoint manifest and reviewer notebooks.
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+
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+ ## Intended use
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+
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+ These checkpoints are intended for:
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+
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+ - re-running the NeurIPS evaluation protocol on `RRUFF-473` and `RRUFF-325`
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+ - validating the hierarchy-aware error metric
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+ - validating the prior-baseline and stratified-analysis claims
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+
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+ They are not intended as generic pretrained models for production PXRD workflows.
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+
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+ ## Provenance
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+
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+ The CNN control belongs to the validated in-house Vista lineage documented in:
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+
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+ - `docs/review_notes/cnn_rruff325_identification_2026-04-29.md` in the private repo
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+
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+ The ViT checkpoints correspond to the released case-study models enumerated in the public checkpoint manifest.
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+
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+ ## Publication plan
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+
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+ 1. Create a private Hugging Face model repo.
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+ 2. Upload the staged checkpoints and metadata.
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+ 3. Verify load paths against the public reproducibility manifests.
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+ 4. Switch visibility when the review/release posture is decided.
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metadata/CHECKPOINT_PLAN.md ADDED
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+ ## Model Artifact Plan
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+
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+ Candidate contents:
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+ - four ViT checkpoints used as NeurIPS case studies
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+ - one 1D residual CNN control checkpoint (`pxrd_cnn_control_checkpoint.pt`)
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+ - per-checkpoint role notes
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+ - model card text
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+
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+ Candidate exclusions:
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+ - unused PRX checkpoints
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+ - optimizer states or broad training-history dumps unless needed
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+ - unrelated ablation checkpoints not discussed in the NeurIPS paper
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+ {
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+ "checkpoints": [
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+ "pxrd_cnn_control_checkpoint.pt",
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+ "xrd_model_82ept35h_best.pth",
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+ "xrd_model_9rwv1qly_best.pth",
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+ "xrd_model_wwuvp1kj_best.pth"
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+ ],
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+ "missing_expected_candidates": []
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+ }