{
  "kind": "structural_zero",
  "lane": "monotonic_learning",
  "metrics": {
    "cycle_pass": null,
    "floor_score": null,
    "max_regression": null,
    "overall_pass": false,
    "replay_determinism": 0.0
  },
  "model_id": "frontier-structural-zero",
  "note": "Frontier LLMs do not emit the typed signals these sub-metrics score; see docs/frontier_baselines.md",
  "rationale": "Per-cycle accuracy could be estimated from a live API but would not establish a structural property. Replay determinism (same prompts → same trace_hash) requires a deterministic backend; frontier inference is non-deterministic by default.",
  "timestamp": "2026-05-16T19:44:44.245649+00:00",
  "version": "v1"
}
