{"sources": [
 {"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": "| Gaussian filter + plain tables | real | 532.39 | +2.83 se 0.04 |"},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "For each of the dt - 1 steps with no own trade (cap 12): v += sigma^2, then replace (m, v) by the mean and variance of N(m, v) cut to (lo, hi)."},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py", "quote": "for _ in range(min(dt - 1, 12)):          # fully silent steps"},
 {"url": "https://api.imd.fun/artifacts/e8c967d6358da0fd53117891357f19a1d684225bd71a5e302b6e299c85f1286c", "quote": "For gas, it accumulates their process variance and applies **one** truncated-normal moment update at the end, rather than Taylor's update after each silent step."},
 {"url": "https://api.imd.fun/artifacts/e8c967d6358da0fd53117891357f19a1d684225bd71a5e302b6e299c85f1286c", "quote": "| report 10000..12047 | 2048 | 532.267743 | 532.351218 | -0.083475 | 0.009721 |"}
]}