{
  "family": "rvq",
  "method": "ai",
  "modality": "ppg",
  "sample_rate": 64,
  "compression_ratio": 32,
  "experiment_id": "ppg-rvq-32x",
  "run_name": "ppg_rvq_64hz_32x_golden",
  "package_version": "1.0",
  "input_contract": {
    "encoder_input_shape": [
      null,
      1,
      320,
      1
    ],
    "encoder_input_dtype": "float32"
  },
  "preprocessing_contract": {
    "format_version": 1,
    "sample_rate_hz": 64,
    "frame_size": 320,
    "input_shape": [
      1,
      1,
      320,
      1
    ],
    "normalization": {
      "kind": "per_frame_layer_norm",
      "mean": "mean over all samples in each frame",
      "variance": "mean squared deviation over all samples in each frame",
      "epsilon": 0.001,
      "inverse_for_display": "raw = normalized * sqrt(variance + epsilon) + mean"
    },
    "int8_quantization": {
      "calibration_frames": 4096,
      "validation_frames": 2048,
      "sampling_pool_frames": 65536,
      "sampling_method": "seeded reservoir sample; disjoint calibration and validation partitions"
    }
  },
  "encoder": {
    "tflite": "encoder_float32.tflite",
    "header": "encoder.h",
    "default_variant": "float32",
    "default_tflite": "encoder_float32.tflite",
    "float32_tflite": "encoder_float32.tflite",
    "fp16_tflite": "encoder_fp16.tflite",
    "fp16_header": "encoder_fp16.h",
    "int16x8_tflite": "encoder_int16x8.tflite",
    "int16x8_header": "encoder_int16x8.h",
    "int8_tflite": "encoder.tflite",
    "int8_header": "encoder.h",
    "variants": {
      "float32": {
        "tflite": "encoder_float32.tflite",
        "input_dtype": "float32"
      },
      "fp16": {
        "tflite": "encoder_fp16.tflite",
        "input_dtype": "float32"
      },
      "int16x8": {
        "tflite": "encoder_int16x8.tflite",
        "input_dtype": "float32"
      },
      "int8": {
        "tflite": "encoder.tflite",
        "input_dtype": "int8"
      }
    },
    "keras": "encoder.keras",
    "input_shape": [
      null,
      1,
      320,
      1
    ],
    "output_shape": [
      null,
      1,
      20,
      16
    ]
  },
  "decoder": {
    "keras": "decoder.keras",
    "float32_tflite": "decoder_float32.tflite",
    "int8_tflite": "decoder.tflite",
    "int8_header": "decoder.h",
    "input_shape": [
      null,
      1,
      20,
      16
    ],
    "output_shape": [
      null,
      1,
      320,
      1
    ]
  },
  "codebook": {
    "npz": "codebook.npz",
    "header": "codebook.h",
    "num_levels": 2,
    "num_embeddings": 256,
    "embedding_dim": 16
  },
  "sample_data": {
    "npz": "sample_data.npz",
    "num_samples": 10,
    "arrays": [
      "inputs",
      "targets",
      "reconstructions"
    ]
  }
}