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","code_sha256":"81f90bf3f8cdd670cf1257e71ae1493cd0614120b4345ccc5ecd6a57e9715169","port_zb64":"eNq1PGtz28au3/kreNuZe/Q2HxJFpbXnKrZSe44j51hO09OMRkPbTMRGr4qUHefXXwD7wC5JpT1z53am9C6AxWKxWCx2scoPP/xwOe5mm92hyLv37qfVNimivrvb7otX7u0soJLbdu/cYvs1e8iKFzfZPCy3e4D5o27cDdxlmjy6jec0+7wscjfbuHeXbpFkq2bPuUj32VP66H7ab9dusUw1x577Jk3zk32ap/snKOz22UOau4c8dfdpsnIPm6zIO+5mW7j75Bk4fvwwvpj3nJmb5UrIj31v/hM1SaCDNF+639L91k32++TF/QQSpsnD0n1Md6vtyzrdFD0HBOPm7irdNO4uF9Px28ms2QHBsyJLVtk3JS/gfh1fv5/Meu50635K8mKdFMuec7Up0s/pXgmF/Lb7HPpNobNVdp/ukyJdvZDw6fqwgtrjT26eAjr79CndgyjQD4wzP6yKvOf88MMPTrYmPWMHqrw5rHeg7Nzd7BySBwD3iauwf2SF4zg/uq8TUMDDdpMXyQbUv9unD+mjUDR0tM/SHMRP1jAoWSVB06dkdUDBSN1dVDfwYjbb/SMI+ujev+C0ZXs33x72D6m7fXg47GEED2nPvf55lW3Ss8X0Z6DONsnqTHUBrLLNE1S2+xd38uvk9t8oPNjCg7vKCtDPym1km4fVAZp9dvPVFud6lzx8wWqyeYRZ+nNfNIEJcEKzWSb5EqTBQRXp1wInC6YP7BE4kag/IRkogrs1RwsmBIxU1+vkMwz38JhKA0seH2HmtzAAtzhskvtVCrLsQWVADsqbFfvDQ3HAltnmEc0UeJGQwg66yerzdp8Vy7XqQXaawiLYoDGBKSYw1ELaMy4X0CuZIUz/j3J6uE83Xyao/ORhv81zQ+eCcZGljx00DDEzG2iVo1msXnqOowzaPXUb/wDz/EfH/cfb8W+LN5MJFa+mqvj63Qz/TK7H72aTi8X5+B1Wr+PF1MPC7OqX6fh6cXd5O5ld3lwTo+uRRF5c3S4uJufjfxPU9yR4fH5ngn3N6veJCQ8k/O7mNxMccs9vxyaiLxHX47evLyzMwOzh9fVkemFiI6OfCnJoyFxBKiW8uxzfLcbX8EfARxX44nZyN766JnTgVdEzmAyBVNq4xQVxt3gvoIGh0au371Cat++v7wRSaeSX8d1kIdTCSKUVnFIkEFClkbvb8cVkQSO/uZnJJkohs7vx9WQxvgMi6O8NfAV+qEW80/YQxIYWNXBkdXM7vru60cjQs+dLw7U93E3eLc5v3k+5l1Dp4fV4NlEWeh3aJnF+M3kj4CWLYIQa/pvrmw8LsgrGmebA0KEB/df78YWBig0TYai5BjS07xlQq4O+byndbhVY47PbqbGjeS3+OZUq6fdN8Oz65t1k8e725m5yLua4P6ji5UQLvNLC75PbGwFRA6KSj6Wb6UQDAioN9JxiiYjejK+vX4/P/wndX51PNE7Sq1FfTa/ursCP0Ag1ytelwCQS06lxoS71bVa/TzRmIEpBqbtbtSAQ4+tSoEuhLhFvUOH5ZDaDDf9WI5h1pEtDURpqbQw1+6FmH2tsrLGxxmp1D0Yaq/UcaT1HSs/XUahh2u4jNc3Xw75ZohYwCHbnmmGsGca+hunGsWYYR7qkRR3pFiONHQ218YL7PJ8sftGdjrQGRkoDioid7Ehz9z3PKvqyqDq9+3AjIUGpS7DsyfQ9ep+ppBgwp5FVlEz15gPFiItDqyhpAxYr8CxoIIvMgX3nzfs79mB+yFKELIV2ClAMrIZqp/X1+hdFn0mmkw8MD7gYyiL32OceB9wjL0B/wJ0M+lwcWEWiffd+dqnn12cz9bWdkmfTBMw4CnV3bLX+MLCKkmA4NP03bctyQ2bymMlj7oXt12cD9uOhVVTNYoYq+6QO0WvwGNjoqWiQTcDq2OZGgSl0OZ4itM9FOWGjvtno/Ob2Fjw4sFy8vbmY1MHBgV/9Ko2K15evF9jbq9nsavoLbyC+XmAapXZvXm8Br7fA6zM0soo+FwMZH+DuItSl+gu8YWXzVYMBZMwclciSjb1NEzqQRW3Kgc8i86oLdBwiNtcZdvxhcvXLpQqgQgv/Zjy7q+Dl4PrcgV56UkCKoFh7vJQCXkpBxFJFrLJoyFBlgCru0gyH3PWQp2PI3Qy5m2HI0NCCBlwMZZEnVO8NoqhoB0wwYIIBE/Cghjwovapwo4HJvrmVcJ5jva4gVNRLN9BL4R0qtLxSghGPbcRjG/EoRjwKvftAuBlwURtMyAYT+r49n9Obq5kMMPWhA4oDLirmN685JAj1dnAxmc6u7v69mJ2DUZmAdzcfJoqYhQrUqG8uLmbcCBC68/HtLxOOa8KgbyGonQ78CetzMZDFgbk33lUaDbjRgBvpGQt11P52DHEQz2qow3ZRlEx4uVBRQVn/HDGGOmTEw6QcIi+ikBdRqCNCiEBxoTI05CIFbP9anMMolbYHrG0O+EId8f0L9syxQRpysc/FgSB9e3XBsIiLQy7GssjGw7snFcVecfNe9cmmxaFjyLFjyEFhGPlWURLwfhryfhpyPBgOjeLAKkraIXfMe2U48qyipOWFGPLqC3n1UTHgotTnyODLHY/Y3LCoaCOmjZg2YtqIaVn0EetsNGTaIdOyReutURQDLipa1vpoxLQjph0p2j5vmX3eMqkYyKLPBAEXQy72uTjgYsRFGmbT0feO7qm72fXoPrPx0e95Hdfr+fihkud5UImxEisIBHRxP+Jvx40Gknw46LjD3iBt+0OsDsKOO+iFR6oj4Dzq+aoajYBRb6SxI8TqahzEKEIQK4A38JEbNo+IPh5gg1h3HsA36A01PVBFitgPOq7fCzROfvr6M+wF9AGKmJAgeqhah9AT+BtqAhobiK8mDeLBECJu/UVi0UWAElslHwYmvqJ5RL2LL2m/LwWiJiywRyMIBKYf96GGX9kMhVXioXQgK9VA23EfkCP8o7pAvkoFoFLfk5UIFQofhYPaQOFImaoyQo48rdgsZhtQuvX1h3oeMMIz/0R65COcT5Sc/xMzQwRoDaKL2BqIV2ngy65Qk6JFLVUk/oRCT14wSLse0I6gZNH1S9LjJ9DDYmykhY0lSxwjs/BDzcP6eHISKgJWQd//+Mc+pvICy9xkXZqRNPmaWQzq6r7RFKu+GhBZo4aHxhdsBzVsTD/5Ht+ElCU0psnvl4cdDMxFHJRHVNUPjLIPUXk0HI38UdiHwx5OZAlkKEEYU2yajPAcBk2deYX2B92b8G/SwZnrvnY6+OOPwLRCL4492L7gvN8nBzKKLBjIHIjhlf5Db1QCStmPgFnG2rGHURTGqMORDzEaeDxkVIINDVszTSeOwwDEHcQ+HFpHcb8GFgq3eGRKvjdTakeCRaigdQZNvjTCAYlhlU3UNlcwZqANBVXlW3IIYh7/tlsQrcHrxNZiL619w3I9c2MW3MrOqg54ZHAj6DlC6qNOJuiRUwTxAptjrIfIJdQVelyv1m3JHaoGpfY73yv5q5KigsqO5R/1k/6R9cj7SVjzgalA0+MtaxiUivTpDzhyGLBL9PSM+6U5qws3SpbjV4ZZsQGv1rHXbABBzABRrngZaagBfz0umgvD46IVEpoT37eHV1n0f+cz77iPxcsuPYXIVCbSm5iGvhy76dci3eTZdvOq8laAE8uYOMWM7ipN9pgcpccDq+wpdZNPRbrXjwRU7tqZLrB6qrL1IjJuOtMrgPkjZ3oJf2NnPD2/vKH7R6hSEwW6vpoqUNtXQEz0aGjgXE7GF56uh9AnQhBw2ZpetaeX7aCFn3JoDsN6SGDQ8H+DhesYUXs0lEof+kEEG4Hfj70hxOQxObZeMBqAlxxCpB5Eoe9Fg2jepOb4kiFvCDmaTdLw1Xp9KCg7LdPQP3HK2MV0fkoZ4XWerp4wU7x6Tl5y0Pw6Vc8Zes4HGpXnyIwwqtCRKWEoB45xJQP1vlNOAgMwcnTyV2he5XyRmedwrhfroDGV48UqMVS5XQREjpnTRUjslHO5KJjnlHK4CAycUu4WgX2Hk69Yj5xKrhbBsVPK0QIw9ByVm8Va4JRysgjsO6VcLAIjR+VgsRY7pdwrahIUU8m5IjxwZK4VK31H5lixEjml3CoCY4dzqlAfIFszl4qwwFE5VKwpleP9Kta1xhUgduxcKU6xULeqiUnUuVEE9R2VE8WaMAlVix0zBwqQoRq8QTUMHDvniTAYv8p1YjVyqjlOhMdONbeJpug5mNPEUuDcTJFFPHDsLCXCRo6VkwTQKHDsDCTCBo6Zb0RI7JjZRTJ33zEShwSJHJl9I/OPHCs5hrBw6Fi5MFoXoPAPN1QaODW5LcIMHZ1aoqXjOTpjRPWBo9NDVAcTlzkbrA5HjkzQ0CoLHM6wEGDkWBkQcq4KptIdtBJlS9tTBF7fqUtkECp26nMZhBw5ZuICQeA0jIQFQfpOOeNA69937EwDAUOnnFYgcORUUgQIh1VeSQ0QXHepL/8JDP6Ob+/J3wwcfQtO/iZ0ypfbBI4d8/IZQWDH8nqZHBK4G/NamWB9x7pZJtjA4WtkAqBPUNfHCBh5TunamKCBU74YJjD4Ln3fSz7Qd+iWlsojR97DYs0PHXXpStXIEdeq5Cs9hy5OqQymcPOewKHvOP9DL9Ue00/uYrd9hl2y435KHortvgMBw675ynHhP/EWDprcXX6ELucEfF5msNkBkXuGcFzcc0GO/2Wf8AFWA3m4/+36jDD4tU5lXxopqjUI7OaU3t/16D0fMnZPsF9YmfOmlLI47DeSuTUy2JU3jzS2pOPed9xnOS4Q8t49O3UTFk8ySdy227jvJs3Ws2OBu24j6d4j2OxAxFGNdZpsOmKz77hfuBOCYEdIUOkLge0G0XSx3Gx9IZLHdFUk+FAMgV3CK5TRsivIoBdR+JmgbrrKU4hrbDUkUgvrA0jZcVfbjrvMpJg/urPtKnvEqFC+mMRHfo0ntwXxfBg1IWiE6FC9qutgLEO6fkhWEM7cvwCVH/eIVf6Ic3WAljRhgo+Yo8QTVkTWIiB+BRKUIfhE7w98VLhPNp/TxrBp2dkfMObQNjAylkO3gfaBy2Xe/aPZArGAGuQ6cysIUpewblxQczY8QNTxbjf+6GomyELTPAvp1WKcCxFPYb2JXhqExKXJqMClEUKpbxLBkmUaX9MMTHHnzabu+jHDMP4hxXh8291h0x0oZ7WVTHfdZSaAZzDxmgspmrl8g+aK04lQGnx5kdvtdLNV9iVdZcvt9pEdxUlDFtrwF93OvPWt9a1p6AqWOjfUcDCT9qn7zHWf6q0dDxU6Se5zGNL60DxZH5g0EKSPLcFujYT+SeI5ZrO12SxP4aRAmEDRqQXWkcgusCNFCNIzF+tKD3qHmZf8aQ6xfwZ+wVhz2/sceO62RQffAi9E6T6jF6NfwPdm+xwAObjWDSIOL1j5lrIvAfs9Pa1xuAgnxtrpwMxbwjHtk5ghQ26awC2AlVAtNXNdEE5MGFgM4/XMdkHupuqTxLcWpxiJsB4kpxOmYlK7c4hVl+zylNxItmkobQBtefM2zFYMrE0jM8K+eashuXXVgrGa0LxAR8e8o/M93sLCFvSWeEV+gSBPDHmyVPPXo1fMOiaT78oGvPHdckn1n1L0AjB3tMkdXoSxwlyZk4NEJIQOXUvzsNnu18lKGhabBLRrsgFY7ZtWf3Yzm/DEYleOD7LHA3WMi1VIUV7oQr4sT4Uxm/HbvK04tFTBavYFJ+ak8dSm9uW+aeUbMQPqXIiAmzron0eE1YojVL5DTJWFTuWIwAuYwym2RbJaoBU+oaOUcadogt44baUnkkZGBpscN+pTDtoqDvfbCZSsmHUuhLViVrkYto+POXp9wbeFPHQUOz/hXVwKoQ0PXZOwIA5yDRMitq1Txuvgdu4c8Q+1jcuh8dwIM8oRxnP2WCwxalpm3dVWq9jeGsFZCldqbI4QL4jdkSKE+u3xG61E5K43SJxGufuvkxy1SBKcNOhPW0aoECA0jbkhNi3xRyuTmpPP5pjf9AyCu43m2Ts5JQoC7PbbeyBFOHeKNdHXl0Wyv6clYBrVWkJLlk8bFrUQjSm6tKm0yyIWHepeEN+nxXOabtSmi+iuItdT85TsMzk12LJlri/qt63rxLmlPGObyEtI2aX6yyG47ORM7Xy4exhbIgth4MvBdkfTiVGa+31e7JNigT9TasxwoXXcr17HffF0fD2mX1+pKBs0u1m9WD9rol/a0G9IYCKzzxv8XRKE1yv8zQn9dmom4uvZR28u5FRXSXMJ94/Aw3np8Db7OEDQi3fy1UP1wLcmwLNvZ1TLSDKz7mkUclhCihsbhY0rTX9n2QclJN4m6AGE32upkJWtGXB9xOFwzbk0VdSxFVaZUbr4VlOa5QuKyZL19rApFl91CWBFtk7BKax3HVf+cA7xqvgi7QB2/6cF7sunNI8Mg72ZYL6MxpK8WBQ5gYK59GH79AF/CkXAUJ6WHgqq9iWrZVKYAwY7WicEiBTfNVWHCv8tpXo8l1vR10UqW4wE6AEHKEST8uKP7QRA9nqAFbHH31PRpkQzIrmTdz9l3XTVuMDoNBBsT4GrZ4tN+ryAQHpncuEGOgSSVK+cUgy5wB8o1gjg1MeaRisyjPpYc31YlTZffesO9iR5NM1Qi+fu7LS615VnV/nshgbq4LUFfX/ndHqfrrY4Xu0VNQe75ZEeu6I9xnBU+FnH7fWHPrS+lq0JnXGo0wSZW6kB5yTqWiiDLDXSiYsj+hZGa/g03LdNkzh29Mg2ZNtoC8TjpGwRfMVfOkmIlQXfFlMJEdvI1IqDLTSzsdcRymBAOubOxG3U8rRvTOi0caqQJSydPk7ZNZ1of4Wq40p5S0DnohaccDR1J1HpgvRZVBxFtN/Dm0HyopKn9H1E+jlZk+8xTgbqnPI9SwQS2bJOHvztZUYLXItkrxuboCVYlcSkMy9h2LE9wDkOr79Ke6t12Dse3362TrdqfXd0vKuyEvNm+WqJVGOvICNjASw+GwtO7BXB3DqU1ytK0etpJvNCZ5KbUZaYx2abY8uumsRm80QGvGVrMOJFhHTcB7yGNfxCrT67xuCMhMucb2VlaCmnsIu8myfUp7LR715cJSugkcGDzjjOeQpVi0qWcm7fHOkTOE26ueq0WeTJGkf2JgGWImzf7bZw3LKB+o6Jp+WAW5+y0bPS9Dz6YsO1Jxig/3V0hoUcDWypJWxi+bCzCA35cHjYzjIiqNuca5VJ6dv5kQsiEpynmxadPVA9A9qoPick0jr52qDgBr1tKesrVpHK+soFJKSDbcSyNWZZiyF3WLg/nxJNxcfhH14a1EOzLUfQoqriopWJ9kHXFSKVPa/diI4tGtCXLwan2x+7exNrAx0MlGSTu5I/UcGh1qOR/8c7FHvPMpHVqycaWM2FEsGFS60bqX3DRHTfu1kqu+Sjl0vsqsvTpQlvri/mbdE/A6eTD/KkkDzDlg/REXoYGePrffLF3Cdfvu9iMFjuuNY+DofahTyjl26Ja4ilOalbY3LmHb2ddvQGWrk8VmcVPZKmdV4yOrHOSiiC1IAYPdmQ4iGCL/vpA1uDaHIm9iT7bYpp3Yd8qflCg5aMn43HHMLIVYZ8boV2YlzHg2fkq+tt7ExH6DavavRssuHQm+S1Y3gxhuMx8Sl+WzIaNt7AwKqiEZtmWyYpRcun9KelAuW/YFahqXATMce3VN8ZNtXBT+6laGf/8UYqmiNvKOkInfXN50pZakkSazyAs0ZTJmjKq5S7V+4u3Xf3h03lLVsD7Diau4Da4D9XIm5tADac4461W6Vid26KqxQgW8gbLWonTpxIKCBDvXMJIEWh/JrNdGSEb9t7vmYP8IYceFcBmyfURi0+ulZROAWk6xQmQxarjO7fZMpZNegovXYMCa+vpob6/zwkj3+3JT4nkk3V+UKfiNpWqGo9cFLXyfvsM/6LMwt9JLLBhl0r9eJtk37yUr8p7sXGTzdFnOeAU+qCbyjCPqNwcAt9vxGGVoQkmB2LkWRXtZdR6raWuR/jYgpQe3V19O6idBDlQZ4YuTDrRdC8ksXAf8eIHJl5UrBfDMEUlvJr5cdDZnbZUAz+aek+SsdbDbebWjNVcZri36cyIn+9R1Zicb26hHXu0SnD+VxzEAVTwWpgpedPczl19e+fypOZ5Tk6FDkjKXlk83GUCjr126jSlByVlOMd2UezzrrbpxUOnHrH17pCONN7lia72So1M+3TvM9X4I4rt3zFv2kG7nRdi4ZgAEMRQWipTRQFHZq3Gacm2WphGhZn8/SDsnmZ3nAh5gzrx2Zzc1kK09F9Gx3oV2jGOwbyWYY+ANAxxeyUnFVlhzXaSjWyzPWNSWOyNV4gaQ19uk9UglNfUbd1LE6Ctyh6bxs3UwQFNm1LKwKsexLs13QRTb201Z5NdHKnUUD9vFRgcCvRhbaMYQQa4h5m3ZbpO/MpqRRY9WBcSpvbhnk5be0b6sI8zw/71AzTjItVmSR9sqI444ypm5suhW9KRd9fUnndot7FzlvAsi0BPBoAtuQOqu/GJH/2IOLCH3XSRsYcK9KlP8K71CE6O1Tcmei/GmfZMSs3t9lyd3+TbV7AiXdhn5IqLzLnbTwbMMp4lGly4VBQR5OaffNEF2uCxHyZfZJ7gP0kGWxGsRZn+aLYizCbmrBI5gNuzjHTY4tTHqQ9L23JpaRV+HZVP8AEgWe6478zMRW+Ylbga/K9p2k5zjdZUSYQXbs8/NK1ohwShen4MKyBB/Eywc8Cr/QgWRmj325zqe/So/h5i1y/FaVYJ33R9Mx4eaFf4pY2TqOTCuVfHevk9BCL7xzbpLaZDNot8tV2J11n9aF6vRuoPlyXc5B/OcJOkf0VO9WtfnaayRd1+kn9vOwsLGS7gWZjgZotPUo9wWSjR7gKqy5xRSMvcdWDdVgWXMx44UYXDvJqje5ZRE38XEXds1E/qgVdTPxFi9qHY2Is2D2Zm9LXsZdKWmdMYBgMrzPgivy0po7x09oq8TvOyXh5Xqd1E+1oqY6Msp6XHmOF14/uFNz69h4vpORvkPBfjO254/19F99XgnFmm+KVXMBwgqSM6nNWLPkyCtyJ1xv0qjmMEoV1fUsZfZ1clcLcbg8FHM/VVe6vySZbrRLhk+jHTviProLPkg9BhHD5Kzf980D/AOietntX/quz4pdnOfAqevXXjsevF0HC0fz/83bxN/FTs3S9K14a0yth0Jvl/2kb/U287xBhEv56sdf1exJDLzwwRAwMYDBXt0QDi5hCbnXfYqMoUMc7KhtMQT3HTBpOlxNiL98smyebJbWTyKE8CWRbgpY12WWUbEBGo6zKGglNlt8rHfqM4Xulq8uWn0YGmtRjnmnjXvMk1ujAvGMpDV3ciuqr3sDCkbrE9QdAmy1YBgpFKlPXsSf0E12jYaSxsNQr2KESl58n0Jqi34piL34wMMhJbw2y6S7OBURTaKVK6cLYz2CN6uf/6vV8xq/nwUh5ffz2MVMi9HsdSqp0sYBwefRf3gunQ7/CbFs/uRTmqnI+NQRtnx/wLw0RLg0RvlVbL437ne8IL1q3jeZLbJ3NWyi+1YE5QA/+fjPuNWCA7boBLOetb0yU1BOZdJW9sr28B/vs9v/zPbO9TP5eS/kWDDozn4CpfPpMuAbbP1MGwcyGy/dh9vlnpl2E+WBM5x7lMzDyUebTL3V0k2+99IltJpa2eVCaydXMNwXydZZ6Du/8Lz9ge3o=","port_sha256":"f63227c5e0f63633efd132d6fb402ede665e5c9cb24481911471e8dc20a3362d","port_notes":"ha_port.py = RS2 port + T toxicity anchor (S[16] mean, S[17] count; cap 674, k_lin 0.712696014807650816, k_quad 1.295240753826310656) + 19-8-2 head whose weights are TH[HEAD0:HEAD0+178] (HEAD0=len(RS2 TH)+3). Same strat_init/strat_after API; plug into the replica STRATEGY block via import. Weights zero => exactly T; HA weights with new columns zero => HA.","new_input_formulas":{"raw_amountY (x13)":"trade.amountY/20 - 1 (raw, uncapped Y amount of the print; fixed: amountY/20/1e12 - 1e6)","step_trade_count (x14)":"(stepTradeCount - 1)*0.5 where stepTradeCount is the in-step count after this print, capped 64","prev_bid_fee (x15) / prev_ask_fee (x16)":"fee_before_this_callback/0.003 - 1 (slots[0]/slots[1] read at callback entry)","steps_since_arb_like_print (x17)":"min(timestamp - lastArbTs, 16)*0.125 - 1; a print is arb-like when it is first in its step and the posterior arbProbability >= 0.5; lastArbTs updated on the current print before the feature is computed, 0 before any","router_implied_vanilla_spot (x18)":"on each later-in-step (retail) print, v = isBuy ? spot*(1-feeUsed)/(1-0.003) : spot*(1-0.003)/(1-feeUsed) (router equalizes fee-adjusted marginal prices when the order splits); stored and held; feature = (v - spot)/spot*500, 0 before the first retail print","storage":"lastArbTs (64 bits at <<80) and routerSpot (bits >=144) are packed into slots[16] with the anchor mean (low 64) and count (uint16 at <<64); no new storage slot","clip":"all 19 inputs clipped to [-4,4] like HA","dropped_unobservable":"The true Vanilla spot and true fair price are not callback-observable, so only the router-implied estimate is used; a print is only labelled arb-like via the posterior probability, never via simulator truth. Nothing else was dropped: all requested inputs are observable from TradeInfo and own storage."},"replica_validation":{"seeds":[41000000,41008191],"evaluated_once_per_unique_weights":true,"frozen_vs_start":{"n":8192,"mean_diff":0.050147492782889214,"se":0.004731434003373519,"retail_edge_delta":0.18066321011065625,"arb_edge_delta":-0.1305157173277673},"frozen_vs_IB":{"n":8192,"mean_diff":0.050147492782889214,"se":0.004731434003373519,"retail_edge_delta":0.18066321011065625,"arb_edge_delta":-0.1305157173277673},"mean_edge":{"frozen":527.0933736863583,"IB":527.0432261935755},"note":"START and IB are the same supplied artifact; one reference evaluation serves both paired comparisons."},"real":{"seeds":[8000000,8000511],"chunk":64,"engine":"amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8); one submission per market; configs follow pinned MatchRunner._build_configs with seed substituted","paired_vs_IB":{"n":512,"mean_diff":0.06139804115934411,"se":0.016552442123332126,"worst5":[[8000424,-1.7637918441388365],[8000120,-1.503062181521102],[8000363,-1.3198728771509423],[8000350,-1.3062448166996887],[8000011,-1.0139969579968238]]},"retail_volume_y_delta":103.2965778204816,"arb_volume_y_delta":124.8274310292515,"pnl_delta":0.051132466873909266,"mean_edge":{"frozen":528.7135193419911,"IB":528.6521213008317},"retail_arb_note":"Real engine exposes retail and arb volume, not separate retail and arb edge. These deltas are volume in Y; replica edge deltas are in replica_validation."},"gas":{"afterSwap_peak":236912,"oog":0,"other_failures":0,"gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"sum_ok_gas":11159552,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5491208,"ok":5491208,"max_ok_gas":22592,"sum_ok_gas":123896905300,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"sum_ok_gas":11021312,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243227,"sum_ok_gas":124532224,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5525443,"ok":5525443,"max_ok_gas":236912,"sum_ok_gas":747080746345,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21735,"sum_ok_gas":11128320,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}],"IB":{"afterSwap_peak":236904,"oog":0,"other_failures":0,"gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"sum_ok_gas":11159552,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5490294,"ok":5490294,"max_ok_gas":22592,"sum_ok_gas":123876307884,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"sum_ok_gas":11021312,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243227,"sum_ok_gas":124532224,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5512336,"ok":5512336,"max_ok_gas":236904,"sum_ok_gas":745434786916,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21735,"sum_ok_gas":11128320,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}]}},"valid":true,"notes":["START and IB are identical artifact ids for this item.","All downloaded artifact JSON hashes matched URL ids; START Solidity and port, replica source and KIT-B decoded files matched their specified SHA256 hashes.","Only the 178 learned weight constants changed in Solidity; all final weights rounded to 1e-6. Port bytes unchanged; weights supplied via params / TH tail.","Replica Gate B gain is a new measurement; real +0.592 is the supplied reference, not a new HA EVM evaluation.","Initial warmed speed during concurrent EVM work was 289.58229050105183 markets/s; uncontended repeat passed before search.","No real seed was reused within an arm. IB and frozen share seeds only for paired evaluation.","Sources cite supplied implementations and pinned simulator; all results in gates, curve, holdout, real and gas were locally measured."]}