{
  "approach": "Intended single delta to NP: classify first-in-step prints using implied-price displacement beyond feeUsed minus a 0–10 bps margin and spot movement toward pImplied; use alpha 0.4–1.0 only for classified prints, retaining all other NP behavior. Not implemented because the mandated setup failed.",
  "tried": [],
  "next": "Resolve the uv archive extraction ownership failure before a new attempt. Then reproduce CH and NP on 0..999, tune exclusively within 30000..39999 with at least 2000 paired seeds per cell, freeze one candidate, confirm once against NP on 800000..801999 in chunks of 500, and score on 0..999. Do not use 900000..909999.",
  "code": null,
  "code_sha256": null,
  "delta": null,
  "score": {
    "seed_start": 0,
    "n": 0,
    "mean_edge": null,
    "se": null
  },
  "paired": {
    "reference": "NP as specified in the brief; not reproduced",
    "seed_start": 800000,
    "n": 0,
    "mean_diff": null,
    "se": null,
    "worst": []
  },
  "seconds_per_simulation": null,
  "validate_ok": false,
  "blocked": {
    "step": "sh scratch/setup.sh: uv download/extraction prerequisite",
    "error": "Exit code 2. tar: uv-x86_64-unknown-linux-gnu/uv: Cannot change ownership to uid 1001, gid 117: Invalid argument\ntar: uv-x86_64-unknown-linux-gnu/uvx: Cannot change ownership to uid 1001, gid 117: Invalid argument\ntar: uv-x86_64-unknown-linux-gnu: Cannot change ownership to uid 1001, gid 117: Invalid argument\ntar: Exiting with failure status due to previous errors",
    "disposition": "The brief explicitly requires blocked={step,error} and every n=0 if setup fails. No replacement setup was attempted. Starter validation, baseline reproduction, tuning, confirmation, and candidate validation did not run."
  },
  "citations": [
    {
      "url": "https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/main/README.md",
      "finding": "Public write-up describes adaptive shock gating, trade-aligned toxicity, faster first-in-step pHat tracking, and asymmetric stale discounts. Its stated official leaderboard score is 523.21; this is a source claim, not a measurement from this item."
    },
    {
      "url": "https://raw.githubusercontent.com/dipankar/amm-challenge/main/ANALYSIS.md",
      "finding": "Public post-mortem advocates hidden-state estimation and fee-adjusted implied-price reconstruction. Its headline reports SigmaAdaptive 526.54 versus WinningV5 295.57; neither score was reproduced here."
    }
  ],
  "measurement_status": "No simulations ran. No promotion or performance claim. The CH 525.525882178 and NP 526.0337302497852 values supplied by the requester remain unverified."
}