{"sources": [
 {"url": "https://api.imdnotdead.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067", "quote": "// Gaussian solved policy by Taylor (gtmcknight), amm-sim 4812a638."},
 {"url": "https://api.imdnotdead.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067", "quote": "Deployed size **18,466 bytes**"},
 {"url": "https://api.imdnotdead.fun/artifacts/2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336", "quote": "{\"item\":\"t03\",\"mode\":\"search\""},
 {"url": "https://api.imdnotdead.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557", "quote": "\"item\":\"inputs-b\",\"batch\":\"e2-ha-round1\""},
 {"url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py", "quote": "rng = np.random.default_rng(seed=i)"},
 {"url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py", "quote": "gbm_sigma_min=0.000882,"}
]}