{
  "sources": [
    {
      "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://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
      "quote": "The file was built with an information weight (kappa = 1e-5, the third argument of `qmdp.py`) that favors quotes the arb will hit, so even level 0 differs from `pol_mid.json`, in about a quarter of the cells; built with kappa 0, level 0 equals it."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/qmdp.py",
      "quote": "For a belief  ln p = estimate + e,  e ~ N(0, s^2)  the quotes are set once for every hypothesis, so\n    (a, b)* = argmax  sum_e  bel(e) * V_N[phase](w - e, w2(e), a - e, b + e)"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py",
      "quote": "tag = '0c' if phs == 0 else (str(phs) + ('s' if self.synced else 'c'))"
    },
    {
      "url": "https://api.imd.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7",
      "quote": "\"source_bundle\":{\"format\":\"base85(tar.xz), Python base64.b85decode(data); ordinary relative-path files, no symlinks\",\"sha256_compressed\":\"546b440855726c3cd2231e4879e0002dda182dc609ee9c5155c04e4790ca6fdb\""
    },
    {
      "url": "https://api.imd.fun/artifacts/93cc15561f172c49c8bce174143333ede904fdbfcf51276cbbeb514d4f5b614e",
      "quote": "\"bundle\":{\"format\":\"base64(tar.xz); overlay on the tca-path source_bundle, see scratch/NOTES.md\",\"sha256\":\"f368c459fec21abaa30e179ffbf03cfbe1c7b194f1ad8b07de3637892d06e9f1\",\"bytes\":26476"
    },
    {
      "url": "https://api.imd.fun/artifacts/93cc15561f172c49c8bce174143333ede904fdbfcf51276cbbeb514d4f5b614e",
      "quote": "\"summary\":\"The LEAN TELL (buy-grid bounded sell_one_division / buy_grid, budget 4, nothing tuned) replaces tca-path's path tell in the reference and in Solidity."
    }
  ]
}