{
  "family": "rvq",
  "method": "ai",
  "modality": "ecg",
  "sample_rate": 256,
  "compression_ratio": 2.0,
  "experiment_id": null,
  "run_name": "ecg_rvq_256hz_02x_golden",
  "package_version": "1.0",
  "input_contract": {
    "encoder_input_shape": [
      null,
      1,
      512,
      1
    ],
    "encoder_input_dtype": "int8"
  },
  "preprocessing_contract": {},
  "encoder": {
    "tflite": "encoder.tflite",
    "header": "encoder.h",
    "input_shape": [
      null,
      1,
      512,
      1
    ],
    "output_shape": [
      null,
      1,
      256,
      16
    ]
  },
  "decoder": {
    "keras": "decoder.keras",
    "float32_tflite": "decoder_float32.tflite",
    "int8_tflite": "decoder.tflite",
    "int8_header": "decoder.h",
    "input_shape": [
      null,
      1,
      256,
      16
    ],
    "output_shape": [
      null,
      1,
      512,
      1
    ]
  },
  "codebook": {
    "npz": "codebook.npz",
    "header": "codebook.h",
    "num_levels": 4,
    "num_embeddings": 256,
    "embedding_dim": 16
  },
  "sample_data": {
    "npz": "sample_data.npz",
    "num_samples": 500,
    "arrays": [
      "inputs",
      "targets",
      "reconstructions"
    ]
  }
}