{
 "sources": [
  {
   "url": "https://api.imdnotdead.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067",
   "quote": "Port afterSwap peak 206,161 is below 245,000."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067",
   "quote": "Pyrevm replay peak gas: 156,888; mean 61333.94154."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067",
   "quote": "Persistent state occupies slots 0..7: log-price mean, variance, bid fee, ask fee, last own spot, estimated rival spot, timestamp, and own-retail count."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067",
   "quote": "Its deployed size was 14,654 bytes."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/cc8778a3d8f1f86ffbfc77e971b5ed598b27fee68d61c338e8f3cb2057a363d0",
   "quote": "Chosen: 4→32→32→1 ReLU MLP, int16 weights, 2,730 bytes including axes. Report-set loss = -0.039742192, SE = 0.010629156, n = 2,048."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/cc8778a3d8f1f86ffbfc77e971b5ed598b27fee68d61c338e8f3cb2057a363d0",
   "quote": "Thus signed 32-bit accumulation is insufficient; Python uses int64 and a Solidity implementation should use signed 256-bit arithmetic."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/cc8778a3d8f1f86ffbfc77e971b5ed598b27fee68d61c338e8f3cb2057a363d0",
   "quote": "Do not replace the eight corner predictions by continuous network inference and inherit these scores."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/cc8778a3d8f1f86ffbfc77e971b5ed598b27fee68d61c338e8f3cb2057a363d0",
   "quote": "Input rounding is nearest-even, not truncation."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/cc8778a3d8f1f86ffbfc77e971b5ed598b27fee68d61c338e8f3cb2057a363d0",
   "quote": "Payload SHA256: `9727ecc8acf6d31732793d1836c60cd637133b800bbe61b19098bfee7d17e0f6`."
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/evalpol.py",
   "quote": "fa = 1.0 - math.exp(-(a - w) * 1e-4) if a > w else 0.0"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/gates.py",
   "quote": "usage: python3 -I gates.py"
  }
 ]
}