{"sources": [
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md", "quote": "**What separates +4.26 from #1 is one call:** is the first trade of a step the arb or retail. 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": "| Gaussian filter + `qm` tables | real | 533.33 | +3.77 se 0.04 |"},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/replica2.py", "quote": "RNG streams differ from the Rust engine, so absolute scores move by the seed set;"},
 {"url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py", "quote": "Filter: Gaussian belief over ln p (mean, variance)."},
 {"url": "https://api.imdnotdead.fun/artifacts/d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4", "quote": "| 10000 | 443.101741 | 443.690614 | 444.195330 |"},
 {"url": "https://api.imdnotdead.fun/artifacts/d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4", "quote": "| report 10000..12047 | COMBO-qt1 | 2048 | +0.597391 | 0.013388 | 44.6 | 1753/2048 |"},
 {"url": "https://api.imdnotdead.fun/artifacts/d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4", "quote": "sha256 of this file as run: `c5b711a0b4fb4783e8879a484bf87a427171f4a11aa5eb5ec3513c24ead1a796`; of `twocomp.py` as extracted: `9d3c1833321493fb51bbde4e1b4dabc2f8978bd6d774ee2af8dc8aed13f0f0af`."},
 {"url": "https://api.imdnotdead.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9", "quote": "The separate report range 10000..12047 (n=2048) gives variant minus qt1 `+0.424802883` (SE `0.012201544`); mean edges are `533.687633550` and `533.262830667`."},
 {"url": "https://api.imdnotdead.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9", "quote": "The decoded blob was 10,167 bytes with SHA-256 `3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e`."},
 {"url": "https://api.imdnotdead.fun/artifacts/8a6e303b662e1a5ea9bb47f31acedd3988ef65b3ddb66d074517aa59ad41ca40", "quote": "## Python reference (complete; `qmref.py`, stdlib only, needs the 10,167-byte QMS1 blob from qm-spline's artifact)"},
 {"url": "https://api.imdnotdead.fun/artifacts/17d249ab0c33fc44931d9b105cf3f9e3846a560bd518b67310c2a56defacdecc", "quote": "# qm-spline: compressing Taylor's (gtmcknight) qm tables with cubic B-splines"},
 {"url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/31ff8ed128b463cde10ea0a71d354f8c54d4464a/reference/qt1/qmref.py", "quote": "usage: from qmref import QMRef; QMRef('blob.bin') is a replica2 policy (wants_j)."},
 {"url": "https://arxiv.org/abs/1604.00772", "quote": "This tutorial introduces the CMA Evolution Strategy (ES), where CMA stands for Covariance Matrix Adaptation."}
]}