{"key":"c6-s4-cancel-norisk","idea":"spread 4: retreat-cancel (k = 1) plus no ask risk premium","spreads":[4],"approach":"Verified MA sha256 5d1bd527... by script and MA check values on seeds 310000..310003. Ported RC's retreat-cancel wrapper (from `_IncumbentStrategy = Strategy` on) appended after MA's unchanged text with guard self.s != 4 -> return MA's actions; k = 1 callback. Adaptation for spread 4: on a blocked side the wrapper also sets MA's f4_last[side] = None so cancelled/suppressed quotes are not read as fills by MA's spread-4 flow learner. Removed the spread-4 ask risk premium (`if P['pL'] <= phat <= 0.95: b *= 1.4` in qask) in MA's body, since a wrapper cannot reach it. Tuned 3 variants on 340000..340199, froze best by paired mean on spread 4, holdout 450000..450999.","tried":["wrapper_only (k=1, premium kept): s4 -0.129 se 0.495 on T","both (wrapper + premium removed): s4 +0.577 se 0.576 on T (selected)","wrapper_half_premium (wrapper + b *= 1.2): s4 +0.547 se 0.525 on T"],"next":"Holdout s4 +0.546 se 0.414 (t=1.32): not significant, not a promotion. Most of the gain is the premium removal (retail +1.33, arb -0.78); the wrapper alone was ~0 on T. Next: measure premium removal without the wrapper on more seeds, or combine with other s4 screens; wrapper at s4 looks neutral.","port_kind":"body","code":"H4sIAAAAAAACA8U9a3PbOJLf9Su4Sd2FlClZlB+xvZarkt2Zy1SlbjKTvdqac7lUlETJjClSJilbzlz++/UDAAESpOXM3J6rbPMBNBqNRnejuwG+evXqb3lWFHG6Gsyzhyh3ZmEROY9xeevERZaEZbTwnW1abtNo4WyifFBs8ihcOFg2jxdR4RRlOL+LFhdOFM5vnXBeFk6WJk9OnDr5NoWbpRPjs8fUmWfrTVTGZZY7DGb46tWrXrzeZHnprMPytrfMs7WT5Yson2XZ3XSzns5vwySJ0lU0LMoc0FkBZK7wHjD9LJ51ViyfNoCnqPW3MJ1Hyc9Y0nc+JeE8EtefoTe93idn4izieekm4XqaT0bD8YnvrCcnw5HvFPFqmk6C4dh38O0XeDsaBef8Au+OTugan4/9niN/7tfhbnI0Go0QSL6O0wlAuHsHxd7C/4/wP4CKG7wYnWj1wvU6g+ag0tMiWsPbY9/552TMcJZP8ODUp0LT+8kpPaSbDTZHoPgebjfhUx2p5QyeAO7LLeOxw/8B4F/G87snbhZQnYa3ME6TMd7eRdFmehvDuxNxk2Rc+cMW+4dlZnFaTM4IwTgpGcw2jbF1AP5lu97E6VL0aoGkoFp3HxGb0RleLcUVFuRywCpc7EMwCaiZqhtPiyXT4Z9LpAwVWyGSTNQVo4iX98vJMb9HAi0FhQD2dBVuqCEDasBgVwGPvbwPJQpOOgsYq1Uh0AxEf9cB//+6EC+WCbHK6MTrff5lDByGvD4s7vPSBcLSw08/1R87fb7fxF5vES2d+WLp7rwLJ4/KbZ46o+EJlHChAeeAC0Y5FHAOHYDmcZWNWYVL7TbugCvv8NfjGp9+ohpx+uBuvAuixAYxilMXqOVufCeIBuce/HMGfEllSgPrgYZ2kq1crL3hKhvP4xo7qFHCA+jiSXByErwF9EfDs9H47OQI6pZ0OwpGR+MzuoVfRNEN4EUwPD4avz07U+WCs/Px6bksx1VHwdFIVO07R1Wjg50TA0mcSyJdlICY29HLJYijKYmrEKSFOxbdx58F1GMiqkcAYwEwgATBuCqIPzOQaHfqyc4ZTByXB436D51Y0FsxGjsieLJZu3eiRfECG7zzoDN30Is53VDRZeLemyWJ0Msky3L3HsoCYyKRcHCgMbjr9f7z57//8Bk6cY1jA1JnODqFMXQHwfAIboK3dEOMPRzTjX6tF1K1b3qffv35/Q8AE4ep1/tx+u4D3ARw8eNHcfHLe7rovXaKYAD4PV6A6E8XcRlnaZg4SXwXJfFtli1QOWzCvIzhKciLpHDCdOF8jUAlDZ0ftwmokWh3G24LUEPO/TYrowKAzsPUmUVOBEoKFBbQIowTkP1OmM9i0Aer6K9OKl7GhVPCsGD1EIATaCqKYEAbJVEZVRBADwydf4DWmoeIqpNm+TpM4q98N8/yPEL1BpCdIkrgGh4Pez9+/Pmf07+9+4R0BvqNjgLUGXBxyv/FLf+FP8HQd8bwewy/Z/AbnMKfI3xyio+CMT4cn5wOPQb9H7/+9Hccwhu+/fTrTz//+nkCt8S4eepP80dkX9cdVFMRxtHzTw6DM8+Ha//4EOaua3stOIp0XTA+PTkAxI/PT/oAuJoda2hkLRsBtTE6Dd6enx2fnB+dnZ4e+1AzODs+PTo+Hp+Mz0bnJ9AWypgjeHh+FMBsPjk9O4Ji4yO4PT46Ohkfn8MTxg0enx3rP/R4v8rPY6LN5ul6cjw8Pjs7CIZnx2d96FX1CrmwQKIq/Yj9TqnLgT/2jzxzsk8fJkrMBQeuEq0goo69QeAdTlPPrFCsJhX9pw+1t+ttBW+aAm7eYPpwODYLPU6meb8/TQ954oOtleUwddxGW9SbYbjZROnCdQG4D83700evKjdF5m50eI4dVgxd6/Imz2aTYrt2H/sk2NwK47k3WG+9w2LlDcw3OB/UO48aAWwAGeImRrSGPCImcZdwgo1LzesdwElbvKwHgNskOOAutPZgLySp8TqWpCpRM4xGfjCo1O009/rYtqehr6Z2NUw5TDKfW/OJCj43U6/FEqDROIgB4Bsc415vnoRF4Ujr2NVNZcHIqFGm0ziNy+nUBWm21Bgcb4cpinjzEdmC8LiIStejx69BBwGJSHQWzgbN6QWYkDlY0CC7uTzI+DB90o1/Ku6EJUrSOHfQ4jQbysFenzi/f6sI/lpUihfO4AosSlqskFIIUwD6hNCo+XWUliaw2Rxg/WeWRhqwGSigaHnhFNvZAJt3VrCYceZQF5t28ZE24gzmsR3MYxSvbsvCrFCUpCRP9E7AsJSwPIoGoNE2TrFA/qLGzKqb+YzITJehaLdWZCYHovY8tD8vZ83xLOo9cl4312iooMM16MncrIx6HbhU6HQyBywFgP+zYptHzcaRFNOwuJsS/W1dpBKk9RlMhLz3YwiWm6UctdZCK73AxoaqVoCVPOp7MGHq5YgUSLVPw3m2earTuBhP1y3Dgq/C1leJGm68wXKD8/M6NafZDJuuV4cXBWBNM0YXDzYEoSwu0NCaGN30YXXsKknZLInigjn49Ozt0XHzPb1Em6Hxag2vSNU2m98+TUH+yu4i8lGSiEcWFqIKMPr1CvzIVkG8aTxfxHn5NLGwD7zjRa5lbLC5cBnBsr8JsKC1roWQlXzN4gXJVt8pw1VTwB6glSyfCZseCoIRDyLU5UIauCydotgQEIsSxkeD+YGWYqB/xKshli2meYQSOk5XVc9YuFCZarZPZxHMgVm8oPlYoJFcdZnmlb2GnMFUA9cc2kJJCBkwwnFOmrpYCSCBswttDBA1WMHA8uXQGZsatwI3Ad4yYbHk+i9Y0aFpHu3iooQOOzCfBxtQRWDhx8WdA9oyTEBTwNSGboIZn2V/xQUvCP0sf7IAZIeY0G1hgsLwyQEr5CFeRGIRgAIBZklRZvM7bHIdzW/DNC7WwwY8TYBcv7n7OHtzo0S8eri0PXxzY8Htb1FaZKgAcTyybboYfMriooC+oRjTlli+s0XvHvvksm3O66wW9JbHusC+HsGK5aa9JFKueL6cUI5Y8Bom7A2sVM99R122V1xHIcuq8fD0GPgiRofH6fDo6BQ4BZ/hMveMzLW4Wr+fezZ6fcoKWH4+RE64WuXRCgeNCAW8CXZUnu1isKMiIBFYUrzs+6uDSyFNuFXAwvkcSA5dwqaREbL5PCxYERYRLnVhLZrHD3ALaIWg4dcRzsZ2qq+32M/KjkSXwWj4dswujdMTtkkRmkGcdtqRoQEgceL5NP3ayypBb8hy22g0xHq9ENF0YkLuGyA6GA9srzUigk4o4WY67RAC44uuOTbcbhbQukvOXFLtIAqyHJ2EPg39NAEGTtirR/cgc6N0Vd6y044fgewHpTFWD+TsmKLr8mQ48rx9cPidpvYFUvj0W0ePgov9oKHjlMAd+c6bzTKBa6DVqBP20Z6wK1IBVCLWm4pa1OipfCQJhs0PVUGmGVaunulkgzdAOA3VT6bIq5RkoIwiIo56QQ4neIu+InQ/aasj/cWPH9ULckipF7+87+2jVXDKFSDqyZWdYBxkhoKWvSAjpWXRGuECU7kY8UFhkgNNFkIjpllm5nnNQRETV5/H14hFc/oC7lTYql6V5s6gtXQbNV6izvbx9QNiu/GdLFlMqYO+g9pxQsBtjbqIDtJrRPRkolxV9VmDA/FUwUAreKkVhCnuvRDt184/8hDWC6TOUPTS+pMWCT5o/nmyXaC2Q19BxN5E0s1CizcFsDKPkObbtZsN1RM1VMQJGQlfGs3sMZ0KqwDIkQ3pehoTZwDpmiIBFME2EqYOhQxwGTLQ2u7TQHjPKmXmBNNu1EaG27kiz6ydrqbu7gJHoyCNjImG6yWBt1cA3fUgIwLSH0JIkT80sEhL/KkMhJrJ0ML4cnLGvrPeHiPVo3S7jlDZuJVCbeEs/Pl6jOsoQnaAIMhdPhy3lpfoxESrhrdnjD7dEVqvi6X79djzPBwMRTwKNYiQC7SMfxpiWhnszr854xOaXE30NdMMWbXOHE3iKgvNKE4PWwqTky2cxQmyPdBIQDhwzkYU2nG5o3okCY0G7PIhlJYIcnnvOYtDzIe3bynUCJfBW1AugzqBTyV9Gyh6noWlNHszBExmxCshSG/klK/xxu3X2MxiMG6i8E4gKAt1taPo8YihHqjLTkRyH4piN88ZVjhGayDxI9t6PtdGfA2Tz5cAieTkymxD8DuMMm3RBloOGPvIYyHa4o/Bd7Bwu5xYPDEHdXvG4hVqiB6La+mAw5BNT06XCpYdNL1MFBUDxjTe1vw+vUqY+c5tDISbz1BiG25mqza4qE/rbEgaEBQ0JhcM3//XbxZ9nwk+w+ayIa1XpzX/I01PkCLN2oQfUuc2bq0NiHy6foPhdFhdXtUFS4HOgN+Nqs/pu3qniAusihP4gqOFHJb8ZrYc/rGWP//w8eN3Nh2Flc0JM7YIzbeV83WGb2cNcR1Su1H4zHDK6HmE1uBt7DXMc2gJAbkwCDjnoXg08wh1GLCgfHPjPTPkCF1U86Ftrz7qMuGCR76ayuhgBjrCHLPYjqi8Qiiv/M8HtpWJ0VNy3gSN/kErl1WDAxsYozvC/dOrXpZoucO/dzgkt2TG375ruIG71oVszP6umWmtTGYyiWh8lmWJW7l3WR4i4bSHzr83DT+BtFk9tFUPbdWhS4hAy6pN+YyV4WCp/K6jctheWfRbs0kGeqOXNYktB8daPGwUl0PVyYGEKo12g4Ms5bD5BsM2Aiq+Hk+piXRcSmUA4DY28VAqAJkzyXrVKkQFjjgERPlwzmbqlgNY0mBWEfodOI9OhXvSLC7AEi45wSByysy55hYq4+AxXohpBe0OCAHTDZLOxPsxy5fjM1ivpaWb44rKxep9nPjomwbxodtHczJVoJ8HjhuTY+kEFSFWOUSwNT9aOtPsIjlqs7lcbqLAgnYwywuEy2XDYH2k1tBuQ+Do6UsrOdpUZsVKdEuEznDBcKphZ04OtM3Iogajs8DlU7HyLK2bNtc2xZEEnOHizQ1VepGHmQML0tSzrb9UuHGCxMaJjv0H2mAv4N/pkEUwjuHEOePu2Zcpr52fU1jfxpRfSYZQ/kRBSmDjTTjHhRi8i3YhBVqDwzNa0A9bYP0AahF9kYto5yxigJjOI8pjySMY9ci5DR8iZxaXA9CroD7nUHjRX/Rb4f0abYuICEKru8J5vI0TkUhDi0RyiubxKiaX6FakZtrB3UV5GiXN8VJ8O8IJW1yP2leC81i5Rmfz9nUfTq05LdTi9jKYn4eTCH/vWosx0jIGj6b/YkzLPqh/5cCaUOaYWddBRrf54vpidDEIbjDti+7bV73GFG3vLHqRgNNb3wMX5FgmJbEKv+1FaS0DEjAyViSzR1/iTrAuGOIBTvcOvKTp012Ce3CAUwfGIWpfmqskjNKypLXazLS+y6OHONuilCi3myRyq17NfRnvb3FXEMMhJebF91OfudbH7gEkiU43TYh9u7n3BRwskxkVv75oQJjhXz4s9iF5lqRd5DRJaR3IZ0TCnyIRXkDLio7KcdBGzFZCllkpnAaPhU33PYJuxDKVH0JzQdQJRAIWKFg539ErMJUtzJVbYq65JbiGNkkewnxaSjUuqnVXRVcSN9QXF74pMDe3YamlIYvCYhlPZUdjD/+fn58ZiLCmL+IVavq+g4E0uKe0fdL9/JJv4HVFmYWR0fwBigI0Wy6NvAJbk+1t1PCBEPoNwwkKygUYNP11YVuKUz5R9kjKkzz7ZGCSlmZTmd3aFxx7xpwPysIH7RsmFH0OH8Mnh3ZCxKbnXiMjXvK6EdeYy+TNjU9+Swy6kY8WxkRi2EcCjyWbEkFEZ8j3tNCty68icIfwq6f/DU+/oqm1qCi4EUnVXxmIGow3N5b8KSjd59HWSfrjR5Nyav0/0dZ5Fy/z5X9TYyVSbWgkf//WiAltdj7Jm9n2CSD7Snj7PF4qRktQmoLgvnyayEAAzpL7gcJyuIpKNwMbj3xUhCnc3OsawqKTdhMA2d/sGi/m4Wai0lKu53HTfsKdD4j0IVF4QGwCVOCeMQHw2aAq01x+hctoAnCuRJ9GJ/54OOpXHENSwePans1qHl3uLjFN9IWRIKi5u5pAH+31yE2z7LAyjDQepM7BJHi2MIjqfYpxrtE/8m304j61I20mJNnQaLd39Oyvtr4+08c9+qZY5xkkOKXr+3ogs79stYklRvb6ya5KsN55HTElN/fXPifhUg4up+CaUSaVvNtlWURpAQJHJEyjwHOTncwxht96mrEly9jaf8r1u8YhNOIkojmf04+brkYjxIQ7RVQA1zVGFtf1VdnJZGTpIie+ubGfeoJoqS0Kx+xGq6LUEv7YG0rRBQb6D1CIKgMkddpfXR/dYKhOg0kABivM1avNIlnluF5FNEpJAAjcX5nhGDkSfsULTeTWuwl7SFft8aNJFT16GKx33OQDNobVmjBhoCd7hH3sCY+2HE/BoUSd1XXAVHis+isa0jrqHQIS7TA1gH8U1lrB2h+vyoowTDmyJODPgbBTwYiMjjk6oJmOxSIwalEIkvYe4iqZQ0eGQfhlQ9uraDfBf+Pi1zAu2cQJwER95IFNhRVMG7OqwU2+sMEqDNSqD5j3+e497uJrOMDcHQYb0dzCRozX5N0FRHh3mblLDV6hs76q/SIn2BcE/WVWy701zCPRwy/tinkHtu+mXXJCG7g+wnAzIWkXiu2qgmDMFAx0SO/2WYVS34jfyOQVuRqMQq1rTZSIJo3K3HZnZZH3SxlvyRfkL/RfA0P0ASFffz5Tz2c93Rr+YMkda+GbeoPMPn0HTFoy/vr8WCNXfptVrJmLRUGVJUiJi0oRQbE1Mv1AbE8VEyGtr7Lu3jFMTG6lXZnY9iVFvfAJGZ74+l19KtwX8dcI5GkB1vYKjGafrHGM4LKgo9SaCfqnvbonv4AJMYGW6+yOYCz+a41SdU7Pc97pF4xxt9xJX2mEnNIhTjj/g6LulHD2kTsElDTArNc66U6GIxPYekD5hejm7ld07PfHVuDrrekdwA2NE+71oeMCxn3qaGOyU8Er2uqwd/9NGUFoEBhc/0aD01Y4uPyEnuB2eFx1KrUHPHRgsEo9JxQF3GZnnTYI08V0KgpabvSQkmIjbtDTW1zXW5Q5pzhzsTMi7OLJpiuPRImyV0wWPd+d2HMWo6OmEU5FlAKkT4l/zs//CKmrpgFdMWsoIfRmb6iUDDNB+aB8KQ3G+BOa4RB0Ogvq0eeiSgosq0uk7OVLGdGUHM2aT+WKRQ0eoUAjjRzzwcdH/2T9jEPO8WufcKD0xbrTodKsIETcTzKDXxnWT1ExVXsJACFsV4kxzOvHlj61pPM/l6jLzqHP21kRL0D+yY0JmALJgZc1+oI40REnQBQtIg5zV2l7vMl52BpsmvOWhsfbDODdZnn8NUsRmNhoh9sIIhHWWcQUjQJe540VbIjZQYvcI9eW10PxwyrdWLjltGxjIppbL3VgSSTyWn0AltEBcUdo9UFzdg9/u31BfCBUlBzZZW1oBdeyzsI5x3439sDh8ROeV9NuYXH3fy0+SqH1xdz+vxIff0Izz5miQsfN0Cv/TgxkLcctJDF+ZPc7UdraCNe7nUqwA8N9dJvU73q6nba7Ixiif9Wtb4KQmlmoVBYlUkfhG5FxWQ2A1856wHdACM1tTvYSenDYXHKDkxGMEbT57kMllMeVtuGUX0aCbCuNb2ecX3Od/XlZY1dG5lY1p2B2fEdT3WlibW3xMTgiikDXrMSM+VpmG5fb9WkfFiYkRpva/C1v86gAqbpgYOpMnZqwMHWAyFyPNng3YP1IEgCbwf+WCJPekPDva435zngkxRpwAsKpr4kAhV/eGy0H3a1I0tFJIA1YnTt1XsvdxeMLmIjLPEtLscO7RI7jBBOhaMT5HLMtqLtsCy2jKtoqW+8xy8tbB1GSmQeUoyr2lzu0D+tNYe4y35dmx4JcpCRohOtJ7LWuHlf0uxQmTzWFnhm0E5sEZD4koM9uT9DngJ5VORF8w7NA365Qbev3UAAqbFqFNMLptTynfataMhltJsUIO0wTFBM+pV1p6X2UlysK4ORGceQDu1cl7lHRkFVNwLQXuFYnfUlANAfOeGlsG2IxJlChfDK8v6/CcfBECEYYJByr3nPGN4+lBveqweIAvz8xFsrmRi+qLLovceTbS0xlq0neGmyyPU4qEfybSr8z7By9adUUt/wB5d71mw9omYuQJMxGW0xS0Blh/Ib9hJKhtOdlfos+q5OIZ121TRim3phT5QAJJ8ozlM0pMAofDUFTn9KZOFYNM/oWbrVUu3C93qZ0dtAFzXLntx8+O0XGgoLWwagXwjyStqq2VuOjBSyrtXBdGrvE78P6BvRlEagtCsc+6vdgeO4H9WU6WhqHco88sC4v/uWyPDDjlki99VrPxuWBuaqpWyGK1HFuKIpwjPDgskZS8GMUJiAA1QbtsLiFmfgbdNjgZgoVih5Rq76gD2+4tqx3wDZ4ZKW1fCLrXLR0aJqxeKxZ3eSfFvMwibRNB2RwH1JSX21aEZ2A2DX/Rb6KZMhaA9jvXsrtyKB5fNk2yNfOe9AsebYFNjTWVnJ373yb5zClhJYC2gFLL6Iixs09aGANLaaphj7f+MBiL93R/ikEyT8DhJxlGOdie5cVNaEiSfG9EYu270RruU2SVsIv63RfmoSvLcmZX5Wg6NVTesTef4R3fs55rGQwz6M4cRV34oFm9Y0+K3GM3Kah1iuy/kUaUr8BOtQtvFmJ/Ho8JVCIP5bivL7iGdkcDRAYvpASpa/M/SXOTAI9cH6TR+KEnAiwcW7DwvmyLUpnjmds4hmZaRTmOHx5FDWtCLfCe0zLEhLYnuqCGD5NTpgyoqUvwqSXSm5Qr8znQ9oWZs9tTiYZGxZF/BCxHrcmaEtPjSp4pQaelXrHKrsiuqquiM8nX+IACMLgELwgomwd0eeB0lAZHKXJb96nVrFYktnoqrfMjoc2fnoNMxv4h5hom6J5vLkQ25HFiQ4pywFxiKuPfDOTJnOvvgdI6ni5b8u6zLMZCL+JCU0A5A4G7EHVaZ6ushgeqlnvutbtwEJwBd8g+X1Q08vcFTyhU+sL2u14f6mjsQrIWxSIrGtU+X9p8DF5zeSGRNT5/Qr8i8S1Bqhv03stwNQ+O0tW5P+X70wqbzZ+Tnis1CEI7O4ymvKeoQafUiprqXMDbsj1QY1xcNU0PQN9y7QO0KKApOxUO/yIiTQr8n0eL1aUsx7N8ThIoTHBlEDe2IINipM5o1MjiYXklKIjQh6gbDhLNFWPiUuYHHdZzZ0aZ81Lc6eGoeH41E5i1oZue4FBt8pCpayJd+9DtMmORAySIXFOJQYybOFenNoEhmTCfhpwLgSmPNSY6hvTtnNHVtvWpvu2uHLTOm8VD53bn2g1o5eWx8oBE4Qr8+y4kHaD1vaRoOJWA4M3UxodPI6mAkpHI+Nix2wrjR6nMxMcPgrNR3TUL51R7WY1mZCCxM9wb0bDfBC4ylRh7Yxrt1rv17gM1wKmm8C2BthzFyvR5WBCRwrbfBT75IALECIALWa5PA6QUyNVX5ilfWtbXnNDMXk4hosYZE2+0EnSLIptbdCvp7VFPs/v2v/7/MbUC0vaphh9jaE25ZT9rOYZZcgszLrKD4lzlL2R9ZQRAGKfK52OOvS6CfcRuU+aGzgjcl7VEmUNQtnI08qG1lIUpJ9QfAaYQyQaikOcyfa4awlssdEUjOhsx6LmagSWJqpw0IuSv6AM2HcRnpkNSzvhl2Cv4wqPj0K3YylOusQNfMrD2J7rMkErj5xOylxxqdmDVgZB2X3PKl0cuo4GEqUf4bkqu708elVQFRTwSBhBRMgrYgOvw/Bm/CbPz+V6JWTTYbhon2R75cHKdVSxDpNEDBkjgsMG8+6pcGbRbYzGNwwAiFF0KaGUohXwBQ5aARpdnSotDyJVw4WGc+gkaOMb5z93DqMi+Q4NyfJ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body: wrapper appended per layout plus a 2-line deletion in MA's spread-4 qask (premium cannot be removed by a wrapper). Off-target spreads 1-3 give d exactly 0 on all T and H seeds (checked). Holdout spread 4 (n=251): mean_diff 0.5455 se 0.4145; overall 0.1369 se 0.1042. Simulator at b244530, unmodified defaults, 2000 steps, one process per sim, no --sandbox/--workers; 50-seed chunks run as separate commands in parallel; no seeds lost, no failures. No seed in 700000..709999 or 900000..903999 touched. Heavy-tailed: two s4 seeds (450019 -51.7, 450238 -30.9) dominate the downside. f4_last clearing on blocked sides is an addition beyond RC's wrapper, needed because MA's s4 learner would read cancels as fills."}