{
  "asset": "IP Vault handwritten-digit reference model",
  "origin": "First-party model from the IP Vault reference app, for digits 0–9.",
  "declared_license": "Apache-2.0",
  "license_basis": "Repository README explicitly lists reference-app/ as Apache-2.0; root LICENSE carries the Apache License 2.0.",
  "training_data": "Digit templates and random stroke variations generated by reference-app/model/train.py. No external dataset is loaded. MNIST is mentioned only as a rasterization convention.",
  "initialization": "Randomly initialized dense layers, trained by the local NumPy program. No pretrained weights or external checkpoint are loaded by the pipeline.",
  "architecture": [
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  "source_commit": "2bef4c4d90a6064ba0520a8e5084b73b1e01f434",
  "audit_scope": "Committed training/export source, original artifact metadata, repository licence declarations and file hashes reviewed. Full training was not rerun for this provenance check.",
  "scope_limit": "Demonstration of packaging and inference parity, not a general handwriting accuracy benchmark.",
  "third_party_software": [
    {
      "name": "NumPy",
      "license": "BSD-3-Clause",
      "source": "https://github.com/numpy/numpy/blob/main/LICENSE.txt"
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      "name": "ONNX",
      "license": "Apache-2.0",
      "source": "https://github.com/onnx/onnx/blob/main/LICENSE"
    },
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      "name": "ONNX Runtime",
      "license": "MIT",
      "source": "https://github.com/microsoft/onnxruntime/blob/main/LICENSE"
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