{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7",
      "quote": "\"qt1\":{\"n\":2048,\"mean_diff\":3.133460282026983,\"se\":0.02226357822411278,\"minimum\":-1.3959077621872211"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/8a6e303b662e1a5ea9bb47f31acedd3988ef65b3ddb66d074517aa59ad41ca40",
      "quote": "The policy, filter, replica and qm tables are by Taylor (gtmcknight)"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
      "quote": "10000  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/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/types/wad.rs",
      "quote": "pub struct Wad(pub i128);"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
      "quote": "for i in range(self.n_simulations):\n            rng = np.random.default_rng(seed=i)"
    }
  ]
}