{
 "sources": [
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "`latt.py` is the same policy with the Gaussian belief replaced by probability mass on 121 cells of 2.5 bps: each step convolves with the price-move kernel, a step with no own trade zeroes the cells where the arb would have traded, and the first trade of a step becomes a mixture of a point mass at the arb reading and the cut prior. It then feeds its mean and sd to the same tables. Worth +0.5 over the Gaussian version."
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "The filter is wrong 16% of the time. With the true answer the same code scores +6.98."
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "10000  448.261189  443.455598  443.522608  443.663520"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "10001  576.779199  571.463409  571.623551  571.977293"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "10002  531.886497  525.168028  525.865859  526.411631"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "A table classifier on the filter's own features gets 18.8% against the lattice's 16.2%, so the error is near what those features allow."
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
   "quote": "Not tried: choosing quotes against the whole lattice posterior instead of its mean and sd"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/gates.py",
   "quote": "d = R.run(seed, latt.LatticePolicy(T, {'qm': QM}))['edge']"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/latt.py",
   "quote": "hard = o.get('hard', 0.999)"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/latt.py",
   "quote": "if o.get('oraclearb', 0): pi = 1.0 if arb else 0.0"
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7",
   "quote": "The frozen bounded tell improves qt1 by 3.133460282026983 on the full replica report, but this independent exact-arithmetic implementation is not deployable within the required callback gas budget. It fits EIP-170; the engine pilot has 2579 OOGs. Do not submit it."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7",
   "quote": "\"max_ok_gas\":206459,\"sum_ok_gas\":11770775189,\"oog\":0"
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7",
   "quote": "\"calls\":83962,\"ok\":81383,\"max_ok_gas\":249996,\"sum_ok_gas\":14030654987,\"oog\":2579"
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7",
   "quote": "Python Q passed; contract T/F passed; G failed; E incomplete. No submission."
  },
  {
   "url": "https://raw.githubusercontent.com/ethereum/EIPs/master/EIPS/eip-2929.md",
   "quote": "| `COLD_SLOAD_COST` | 2100 |"
  },
  {
   "url": "https://raw.githubusercontent.com/ethereum/EIPs/master/EIPS/eip-2929.md",
   "quote": "| `SSTORE_RESET_GAS` | 5000 | `5000 - COLD_SLOAD_COST` |"
  }
 ]
}