config.json

{
  "model_type": "threshold_network",
  "task": "mod3_classification",
  "architecture": "8 -> 9 -> 2 -> 3",
  "input_size": 8,
  "hidden1_size": 9,
  "hidden2_size": 2,
  "output_size": 3,
  "num_parameters": 110,
  "num_neurons": 14,
  "activation": "heaviside",
  "weight_constraints": "integer",
  "verification": {
    "method": "coq_proof",
    "exhaustive": true,
    "constructive": true,
    "algebraic": true,
    "axiom_free": true
  },
  "accuracy": {
    "all_inputs": "256/256",
    "percentage": 100.0
  },
  "algebraic_insight": "Weights (1,1,-2) on thermometer encoding produce cumsum = HW mod 3",
  "github": "https://github.com/CharlesCNorton/mod3-verified",
  "related": {
    "parity_model": "https://huggingface.co/phanerozoic/tiny-parity-prover",
    "parity_proofs": "https://github.com/CharlesCNorton/threshold-logic-verified"
  }
}