{
  "sources": [
    {
      "url": "https://api.imd.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9",
      "quote": "class TwoComp(QMRef):\n    \"\"\"Bounded two-component posterior; Taylor (gtmcknight) fee tables.\"\"\"\n    DUAL_CUTS = 2"
    },
    {
      "url": "https://api.imd.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9",
      "quote": "Complete `scratch/latt_two-comp.py` (stdlib only; instantiate `TwoComp(blob_path)` as a `replica2` policy):"
    },
    {
      "url": "https://api.imd.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9",
      "quote": "The decoded blob was 10,167 bytes with SHA-256 `3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e`."
    },
    {
      "url": "https://api.imd.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9",
      "quote": "The separate report range 10000..12047 (n=2048) gives variant minus qt1 `+0.424802883` (SE `0.012201544`); mean edges are `533.687633550` and `533.262830667`."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
      "quote": "python3 -I gates.py\nseed   perfect-info      gaussian+plain    gaussian+qm       lattice+qm\n10000  448.261189  443.455598  443.522608  443.663520\n10001  576.779199  571.463409  571.623551  571.977293\n10002  531.886497  525.168028  525.865859  526.411631"
    },
    {
      "url": "https://api.imd.fun/artifacts/fa317ec1ba5bbc943bc91141fb6a2235fe0d4181fa8a01b004f1d439ecf710f3",
      "quote": "{\"policy\":\"qt1-ref\",\"seeds\":\"60000..61023\",\"n\":1024,\"mean\":529.971160,\"sd\":91.977882,\"seconds_per_seed\":0.1451,\"edges\":{"
    },
    {
      "url": "https://api.imd.fun/artifacts/fa317ec1ba5bbc943bc91141fb6a2235fe0d4181fa8a01b004f1d439ecf710f3",
      "quote": "**Reference check: PASS.** The three values are 443.101741 / 571.454483 / 525.908441."
    },
    {
      "url": "https://api.imd.fun/artifacts/d03074104960a361564cfb6d7db752763e9c9b651fa9ed212c10d7acc2738610",
      "quote": "{\"policy\":\"qt1-ref\",\"seeds\":\"10000..12047\",\"n\":2048,\"mean\":533.262831,\"sd\":94.703363,\"seconds_per_seed\":0.0793,\"edges\":{\"10000\":443.101741,\"10001\":571.454483,\"10002\":525.908441"
    }
  ]
}