[
  {
    "name": "Sensor Alignment Protocol",
    "focus": "Temporal + spatial alignment",
    "steps": [
      "Inject known timing offsets",
      "Measure recovery",
      "Compare calibrated poses",
      "Report residual error"
    ],
    "report": [
      "mean lag",
      "p95 lag",
      "pose error"
    ]
  },
  {
    "name": "Reality-to-State Protocol",
    "focus": "World-state reconstruction",
    "steps": [
      "Capture reference scene",
      "Compile state",
      "Compare objects/relations",
      "Measure completeness"
    ],
    "report": [
      "object accuracy",
      "relation F1",
      "state coverage"
    ]
  },
  {
    "name": "Action Causality Protocol",
    "focus": "State-action-next-state integrity",
    "steps": [
      "Replay actions",
      "Align transitions",
      "Perturb actions",
      "Compare consequences"
    ],
    "report": [
      "pairing accuracy",
      "action lag",
      "causal consistency"
    ]
  },
  {
    "name": "Real2Sim Transfer Protocol",
    "focus": "Simulation fidelity",
    "steps": [
      "Replay real trajectory",
      "Replay in sim",
      "Compare motion/contact",
      "Test policy transfer"
    ],
    "report": [
      "trajectory divergence",
      "contact consistency",
      "transfer success"
    ]
  },
  {
    "name": "World-Model Utility Protocol",
    "focus": "Downstream learning value",
    "steps": [
      "Train raw baseline",
      "Train compiled baseline",
      "Compare rollouts",
      "Measure sample efficiency"
    ],
    "report": [
      "prediction error",
      "rollout drift",
      "data efficiency"
    ]
  },
  {
    "name": "Closed-Loop Utility Protocol",
    "focus": "Planning and control",
    "steps": [
      "Build compiled world",
      "Plan with model",
      "Execute task",
      "Compare baseline"
    ],
    "report": [
      "task success",
      "planning regret",
      "control return"
    ]
  }
]