{
  "version": "2.0.0",
  "baseline_milestone": "8,091_verified",
  "models": {
    "classifier_legacy_cnn": {
      "file": "classifier_legacy_cnn.onnx",
      "type": "character_cnn",
      "input_shape": [1, 128],
      "labels": ["boundary", "commercial", "dedicatory", "funerary", "legal", "ownership", "votive"],
      "portable": true,
      "requires_embeddings": false
    },
    "classifier_legacy_transformer": {
      "file": "classifier_legacy_transformer.onnx",
      "type": "micro_transformer",
      "input_shape": [1, 128],
      "labels": ["boundary", "commercial", "dedicatory", "funerary", "legal", "ownership", "votive"],
      "portable": true,
      "requires_embeddings": false
    },
    "classifier_sota_mlp": {
      "file": "classifier_sota_mlp.onnx",
      "type": "embedding_mlp",
      "input_shape": [1, 3072],
      "labels": ["boundary", "commercial", "dedicatory", "funerary", "legal", "ownership", "votive"],
      "portable": false,
      "requires_embeddings": true,
      "embedding_model": "text-embedding-004"
    }
  },
  "deployment_notes": "For 99% accuracy (SOTA), the frontend must fetch 3072-dim embeddings from the /api/embed endpoint before calling the MLP. For zero-latency offline use, use the CNN."
}