{
  "schema_version": "entroly.compression-latency-protocol.v1",
  "frozen_at": "2026-07-14T12:12:00Z",
  "participants": {
    "entroly": {
      "package": "entroly",
      "version": "1.0.59",
      "source": "merged main source"
    },
    "external_adapter": {
      "package": "external-adapter",
      "version": "0.31.0",
      "source": "published PyPI wheel"
    }
  },
  "fixture_source": "benchmarks.compression_gauntlet.build_scenarios",
  "model": "gpt-4o",
  "entroly_budget_tokens": 1200,
  "external_adapter_savings_profile": "agent-90",
  "shared_tokenizer": "o200k_base",
  "quality_gates": {
    "complete_matrix": true,
    "deterministic_output": true,
    "evidence_recall": 1.0,
    "maximum_token_inflation": 0.0
  },
  "claim_policy": {
    "aggregate_product_score_allowed": false,
    "failures_remain_in_sample": true,
    "per_mode_claims_only": true,
    "universal_superiority_claim_allowed": false,
    "minimum_bootstrap_lower_speedup": 1.0,
    "confidence_level": 0.95
  },
  "phases": {
    "development": {
      "warmups": 2,
      "warm_runs_per_fixture": 8,
      "cold_runs_per_fixture": 3,
      "bootstrap_iterations": 2000,
      "seed": 20260716
    },
    "holdout": {
      "warmups": 5,
      "warm_runs_per_fixture": 30,
      "cold_runs_per_fixture": 10,
      "bootstrap_iterations": 10000,
      "seed": 20260717
    }
  },
  "definitions": {
    "warm_call_latency": "Public compressor call after the preregistered warm-up count; process startup and provider latency excluded.",
    "cold_latency": "Product import plus the first public compressor call in a fresh isolated Python process; interpreter startup and provider latency excluded.",
    "overall_speedup": "Geometric mean of the four per-fixture comparator-median divided by Entroly-median latency ratios.",
    "bootstrap": "Within each fixture and participant, resample raw latency observations with replacement, recompute medians and the four-fixture geometric mean, then take the 2.5th and 97.5th percentiles."
  }
}