Seven r6-port screens against MA. The JSON below is the merge; source keys resolve to input paths and hashes in `sources`. Simulation results are item-reported; local consistency checks and provenance caveats are in `notes`.

```json
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"},{"key":"p6-s3-retreat-strength","code_sha256":"d79cf3498272012f0a11d52a8e477450bc8c1e30f0dae27e6d5f7fef57eb6607","code":{"encoding":"gzip+base64","utf8_bytes":38679,"data":"H4sIAAAAAAACA8U9/W/juLG/+69Qb/HeSo7sWI6dTdI4wG571y2w6O3dtSi2QWDIsuxobUuOJCfO3tv//c0HSVESJTt71zZAEn2Qw+FwODOcGVLffffdn9Iky6J42QuSxzC1Zn4WWk9Rfm9FWbL283DuWrs438Xh3NqGaS/bpqE/t7BsGs3DzMpyP1iF8ysr9IN7yw/yzEri9bMVxVa6i+FmYUX47Cm2gmSzDfMoT1KLwfS/++67TrTZJmlubfz8vrNIk42VpPMwnSXJarrdTIN7f70O42XYz/IU0FkCZK7wDjD9RTxrrZg/bwFPUetPfhyE6x+xpGt9XPtBKK5/gd50Oh+tiTWPgtxe+5tpOhn0h2PX2kzG/YFrZdFyGk+8/tC18O1neDsYeJf8Au/OxnSNz4dux5I/Dxt/PzkbDAYIJN1E8QQgrN5CsTfw/wP896DiFi8GY62ev9kk0BxUep6HG3g7cq1/ToYMZ/EMD85dKjR9mJzTQ7rZYnMEiu/hdus/V5FazOAJ4L7YMR57/O8B/nkUrJ65WUB16t/DOE2GeLsKw+30PoJ3Y3GzTrjy+x32D8vMojibXBCC0TpnMLs4wtYB+OfdZhvFC9GrOZKCaq0+IDaDC7xaiCssyOWAVbjYe2/iUTNFN57nC6bDPxdIGSq2RCSZqEtGES8fFpMRv0cCLQSFAPZ06W+poRJUj8EuPR57ee9LFKx45jFWy0yg6Yn+bjz+/2UuXizWxCqDsdP55achcBjyej97SHMbCEsPP/61+tjq8v02cjrzcGEF84W9d66sNMx3aWwN+mMoYUMD1gkXDFMoYJ1aAM3hKttyFS6139o9rrzHX4drfPwr1YjiR3vrXBEltohRFNtALXvrWl7Yu3Tgn9XjSyqTl7DuaWivk6WNtbdcZes4XGMPNXJ4AF0ce+Ox9wbQH/QvBsOL8RnUzel24A3Ohhd0C7+Iou3BC68/Ohu+ubhQ5byLy+H5pSzHVQfe2UBU7VpnRaO9vRUBSaxrIl24BjG3p5cLEEdTElc+SAt7KLqPP3Oox0RUjwDGHGAACbxhURB/ZiDRVurJ3upNLJsHjfoPnZjTWzEaeyL4eruxV6JF8QIbXDnQmRX0IqAbKrpY2w/lkkToxTpJUvsBygJjIpFwcKAxuOt0/vbjn7//BTpxi2MDUqc/OIcxtHte/wxuvDd0Q4zdH9KNfq0XUrXvOh9//vHd9wATh6nT+WH69j3ceHDxwwdx8dM7uui8sjKvB/g9XYHoj+dRHiWxv7bW0SpcR/dJMkflsPXTPIKnIC/WmeXHc+tLCCqpb/2wW4MaCff3/i4DNWQ97JI8zABo4MfWLLRCUFKgsIAWfrQG2W/56SwCfbAM/2jF4mWUWTkMC1b3ATiBpqIIBrTROszDAgLogb71d9BagY+oWnGSbvx19IXvgiRNQ1RvANnKwjVcw+N+54cPP/5z+qe3H5HOQL/BmYc6Ay7O+b+45b/wx+u71hB+R/B7Ab/eOfw5wyfn+Mgb4sPh+LzvMOi//PzXP+MQ3vHtx5//+uPPv0zglhg3jd1p+oTsa9u9YirCODru+NS7cFy4dkenMHdt02vBUaTrvOH5+AQQH12OuwC4mB0baGQjGwG1MTj33lxejMaXZxfn5yMXanoXo/Oz0Wg4Hl4MLsfQFsqYM3h4eebBbB6fX5xBseEZ3I7OzsbD0SU8Ydzg8cVI/6HHx1U+jIk2m6ebyag/urg48foXo4su9Kp4hVyYIVGVfsR+x9Rlzx26Z055sk8fJ0rMeSe2Eq0gokZOz3NOp7FTrpAtJwX9p4+Vt5tdAW8aA25Ob/p4OiwXeppM0253Gp/yxAdbK0lh6ti1tqg3fX+7DeO5bQNwF5p3p09OUW6KzF3rcIAdVgxd6fI2TWaTbLexn7ok2OwC48DpbXbOabZ0euU3OB/UO4caAWwAGeImRrSCPCImcZdwvK1NzesdwEmbvawHgNvEO+EuNPbgKCSp8SqWpCpRMwwGrtcr1O00dbrYtqOhr6Z2MUwpTDKXW3OJCi43U63FEqDWOIgB4Bsc404nWPtZZknr2NZNZcHIqFGm0yiO8unUBmm20Bgcb/sxivjyI7IF4XEW5rZDj1+BDgISkejMrC2a03MwIVOwoEF2c3mQ8X78rBv/VNzyc5SkUWqhxVluKAV7fWL9+rUg+CtRKZpbvRuwKGmxQkrBjwHoM0Kj5jdhnJeBzQKA9bckDjVgM1BA4eLKynazHjZvLWExYwVQF5u28ZE24gzmqRnMUxgt7/OsXCHLSUmO9U7AsOSwPAp7oNG2VjZH/qLGylW3wYzITJe+aLdSZCYHovLcNz/PZ/XxzKo9sl7V12iooP0N6Mm0XBn1OnCp0OlkDhgKAP8n2S4N640jKaZ+tpoS/U1dpBKk9RlMiLz3gw+Wm6EctdZAK73A1oSqVoCVPOp7MGGq5YgUSLWP/SDZPldpnA2nm4ZhwVd+46u1Gm68wXK9y8sqNafJDJuuVocXGWBNM0YXDyYEoSwu0NCaGNx1YXVsK0lZL4nigjn4/OLN2aj+nl6izVB7tYFXpGrrze+epyB/ZXcR+XC9Fo8MLEQVYPSrFfiRqYJ4U3s+j9L8eWJgH3jHi1zD2GBz/iKEZX8dYEZrXQMhC/maRHOSra6V+8u6gD1BK1k+EzY9FAQjHkSozYU0cEk8RbEhIGY5jI8G8z0txUD/iFd9LJtN0xAldBQvi56xcKEyxWyfzkKYA7NoTvMxQyO56DLNK3MNOYOpBq45tIWSEDJghOOcLOtiJYAEzja00UPUYAUDy5dTa1jWuAW4CfBWGRZLrn/Aig5N83AfZTl02IL53NuCKgILP8pWFmhLfw2aAqY2dBPM+CT5Iy54Qegn6bMBIDvEhG7z1ygMny2wQh6jeSgWASgQYJZkeRKssMlNGNz7cZRt+jV4mgC5fb36MHt9p0S8ergwPXx9Z8DtT2GcJagAcTySXTzvfUyiLIO+oRjTlliutUPvHvvkkl3K66wG9BYjXWDfDmDFctdcEimXHS4nlCMWvIUJewcr1UvXUpfNFTehz7Jq2D8fAV9E6PA475+dnQOn4DNc5l6QuRYV6/dLx0Svj0kGy8/H0PKXyzRc4qARoYA3wY5Kk30EdlQIJAJLipd9f7RwKaQJtwKYHwRAcugSNo2MkASBn7EizEJc6sJaNI0e4RbQ8kHDb0Kcjc1U3+ywn4UdiS6DQf/NkF0a52O2SRFaiTjNtCNDA0DixHNp+jWXVYK+JMtNo1ET69VCRNNJGXK3BKKF8cD22iAi6IQSbqbzFiEwvGqbY/3ddg6t2+TMJdUOoiBJ0Uno0tBP18DAa/bq0T3I3DBe5vfstONHIPtBaQzVAzk7pui6HPcHjnMMDr/S1L5CCp9/bemRd3UcNHScErgz13q9XazhGmg1aIV9diTsglQAlYj1uqAWNXouH0mCYfN9VZBphpWLZzrZ4A0QTkP1Y1nkFUrSU0YREUe9IIcTvEVfEbqftNWR/uKHD+oFOaTUi5/edY7RKjjlMhD15MpeYxxkhoKWvSADpWXRGuECU7kYcUFhkgNNFkIjpl5m5jj1QRETV5/Ht4hFffoC7lTYqF6V5k6gtXgX1l6iznbx9SNiu3WtZD2fUgddC7XjhICbGrURHaTXgOjJRLkp6rMGB+Kpgp5W8ForCFPceSHar6y/pz6sF0idoeil9SctElzQ/MF6N0dth76CkL2JpJuFFq8LYGUeIc13GzvpqydqqIgTEhK+NJrJUzwVVgGQI+nT9TQizgDS1UUCKIJdKEwdChngMqSntd2lgXAOKmXmhLLdqI0Mt3NDnlkzXcu6uw0cjYI0MiYartcE3lwBdNejjAhIfwghRf5QzyAt8acwEComQwPjy8kZudZmN0Kqh/FuE6KysQuF2sBZ+PNlhOsoQraHIMhd3h82lpfoRESrmrdniD7dAVqv84X9ZeQ4Dg6GIh6FGkTIBVrGPzUxrQx263+s4ZgmVx19zTRDVq0yR524ykIrFaeHDYXJyebPojWyPdBIQDixLgYU2rG5o3okCY0G7PIplJYIcnnnkMUh5sObNxRqhEvvDSiXXpXA55K+NRQdx8BSmr3pAyYz4hUfpDdyypdoa3crbGYwGLehvxIIykJt7Sh6PGGoB+qyE5Hch6LY3SHDCsdoAyR+YlvP5dqIb8nkcyVAIjm5MpsQ/AajTFu0gZYDxj5zWIg2+GPwHSzcricGT8xJ1Z4xeIVqosfgWjrhMGTdk9OmgmUHy14miooBY5beVvw+nUKYudZ9BIQLZiixS25moza4qk7rpE8aEBQ0Jhf03/3jk0HfJ4LPsLmkT+vVacX/SNMTpEi9NuGH1LmPGmsDIh9vX2M4HVaXN1XBkqEz4NdS1UP6rtop4gKj4gS+4GghhyW/llv2f1vLv3z/4cM3Nh36hc0JMzbzy28L5+sM385q4tqndkP/wHDK6HmI1uB95NTMc2gJAdkwCDjnoXg4cwh1GDAvf33nHBhyhC6qudC2Ux11mXDBI19MZXQwAx1hjhlsR1RePpRX/ucT08qk1FNy3ni1/kEr10WDPROYUneE+6dTvMzRcod/b3FI7smMv39bcwO3rQvZmP1VM9MamazMJKLxWZKs7cK9y/IQCac9tP63bvgJpMvVfVN131QduoQINKzalM9YGQ6Gym9bKvvNlUW/NZukpzd6XZHYcnCMxf1acTlUrRxIqNJo1zjIUA6brzFs55hV8CvrLUVjSDmkIaUKyPQClU2AU1OkCMxDzBigqH95EUE1Uc/oYRute1JRTiZmJHUos2heQJnVocw0KGWSyIeuHjqqaC9cNSZAq/uoTAql7XAerpNOQSIVI+NoF6X+Wdupnfdg9YYJVOhi4ZRBFdmKkygDoz/nXIrQyhPrllso7KAn6idKEGi3RwiUPT7xTLwfsigdXcDSNM7tFBePNlbvooxDNzxISt0UDMgqg36eWHZEPrQx6nyscopgKy7DeKaZgJJfZoFcWSMDQDuY0AZy9Lpmmz9Ra2iiInB0asaFyqjr7WwpuiWihLg2OtewK8sB5ChaPIB9neFKMVs6htbL5uUuxpEEnOHi9R1VepEznWMo0qo1LTVVZHWCxEa+xP4DbbAX8O+8z9omJm694O6ZV2SvrB9jWMpHlEpKNl/6TPFYYOOtH+CaE96Fe59iyt7pBfku+g2wvgcLAN2u83BvzSOAGAchpeykIYx6aN37j6EFM7sHJgRYCgEUnnfn3UZ4P4e7LCSC0EI2s57uo7XIGaL1MPl/02gZkfd3J7JQzeBWYRqH6/p4Kb4d4ITNbgfNi94gUl7gWdC8xMWpFdCaNGoug6mIOInwd9VYjJGW6Qa4ypkPaYUL9W8sWP7KdDrjkq/Ubb64vRpc9bw7zHCj++YFfmmKNncWHWbA6Y3vgQtSLBOTuITf5qK0bAMJGJYWX7MnV+JOsK4Y4glO9xa8pJXXXoJ7cIJTB8YhbPZCqHyT3LB6Ny4PaCmbho9RskMpke9AfdlFrwJXpjY0eGaI4ZASQfbt1GeudbF7AEmi004TYt927n0BB8u8TcWvLxoQZviXD4t5SA6StI2cZVIaB/KASPhdJMILaFnQUflImojZSMg8yYV/5Ckz6b4n0I1YpnC5ZHcN5h8vt3R7jY07aXg5Vfvwl2SRWyFGfEGPqHhfgHsmQnT45mH6iLFCTIe3tjLIyC4Z4oAn1Dxmc1HGTyj29qZjcG8GZedmkBmGFzqo90cuL3hFhqo4oD/+VQPR0avZnQgPWxW1ttbQTlWtzYqWZub14ktbky9hZCm/qH38y6WNnFCdKqRqYS4VESd0hU0lrwXKFxdovjiuoYnLRz+d5tKgE9Xaq6L/lBvqigu3rDq3936u5d6LwsJ3RWUHQwf/X15elBBhmy+LlmjzdS2MHsM97VUhK5Bf8g28LigzL6Xxv4eiAM2UQCavYIR5kYkj7gn1X5tzUFB6HaDpL3OT/4mS6JInmlYUzqKlBtlrvPThWM4VJ1xgohPNNbDD/DWlXPhP/rNF23+icrhKIyNesrMEHSuL9es7l5z1GGmmwASMicSwiwQeSoFFBBGdIYfrXF9nfBHRaoRfPP0XPP2CRve8oOBW7CT4wkDUYLy+MyQNQukuj7ZO0h8+XHWMoauJ5ty4elkA66saK5FfRiP569eaMNruXdI8s90zQHaVGnd5vFRiAkGpT/6H/Hkio184Sx56Csv+MsztBKx9cswSpnDzoNsKButkPwGQ3e2+9iLwtxOVi3UbRHVLGrf7INKnROEesQlQgXvGBMBnvaJM3efgL8IJwLkRfRqM3WF/0C04hqSCw7UdkxAdXO+vMTf6heFPqLm/mUAfzfXIN7losTdLuWtInZOJd7AwKO1jinGC3d/TXfjiPjUjXc7CM6HRbPnqKY9NfT3QxyP6pljnABKcx/htPZApj6baxBIDc/31vthVsHdaAql26m5czjynxHPOOy9bHypjvc3GDGMwgZ7FLgEUePZ6LxPr4beaW29IrTf2nxJcb3EIS8FB0ZzLOfd1/3oprorbo1TWgl0aWbQCi7KTycDQRc72tCM3dgTRYlPomdmN1sexIeZ3NJSsDQz0H6AQVXpI6ri7vD27Q9tKg0kAektMUK3MIlllVK0iGqXMFwTuLssxSDkSbsELdeQ2+wmHBZbNQdNJETJ97G323OQjNobV6jBhoCdHxDrNWb6mxGbBoUSd5a3HVHgq+isa0jrqnAISzTA1gL8V1kbBOh6vwooomXJkScCfE2GnghEZjjgkppmO2dwr1aK4O224xTUEx0tLBuHnLe0ppC00/0I3SMm4ZBPHAxP1iQc2FlYw7UYsBnf9mQ1WYaAWfcBk57fvcOtqzRVq7zHCjuYWNlJ6TSENQIS3VJa3ZsIrXA8VtV/kDv2MoD/PKgnnJfNI9PBzs2Leg+27bZac0AaulDHHgpA0C8VmVUEwZgoGRmH2x/gjqG/Eb2TyigQlRqHStTpKRJNaZW67tbJIdqc0z/Vn5C+MhwBDdAEhV38+U89nHd0afm9ImGzgm2qDzD5dC0xaMv66/FgjV3qfFKyZikVBkRpL2bpKEUGxDTJ9T+zJFhMhrq6yVm8ZJmZ001ZkbPuaQr34hAxPfP22OhUesuhLCPI0A2t7CUazS9Y4pi2woKN8sglGKpxqTCfLcLW9eltldwRjiGRolKpyepry9lZviFtEx12lEVLKARpz0hOlmlCW5QfuEFCyBGaz0Uk37g/KwDY9SqrFgEe3oGO3OzQC3+zKfiIM0U2416eWDRh3qaO1yU4Fb8gLcXT/yzKC0CAwuP4Ne+eNcHD5CT3BMyBw1anUHvDQSYlVqonQKOC2e+O0QZg25hBSpH5bChFKNuIGHb3FTbVFmWiNMxc7IwJwjmy68EjkKHvFZNE3eRB7ziJ02dVyCBAlckDl+Ofy8reQumga0BWzhrKg746GShlgE5QPypdSY4zfoRnOu4hnXjXlIisyYfPiEil7/VJGLEuOes3nfMmiBs8NoZFGjnnv4qN/sn7GIWcXoUs4UM5u1elQaFYQIvZHuW1FGdbPYTZVG2gAIWxXiTHczIItfWzYw3IoO134X3ezLJqD/JO7cTDvl0NwG/QFcXYvToAwnIec21HkqnLYvt8Ydgx4H8/TfQLw7pM0+pLECEzsLsW9M6EI8M0jikui05N2E7EhZgYtEu5sUzIbRZKLHHvhltNS7IlodrXUiSF7zmn0ARhGB8QdodUFzdk+/M32BfGBUFFyZBeVoRVcyzoL5xz73dgDh2euOE5Fu/nZ6t8tPnKh9cXc/neJj9+hmUOmqEjm+8CJCCwI0Cy9bIjDzNjbPqrn/7OynGGg563giEqGqE/64MzswKKkzwEunFu1aUtXj1GS0lDQk1W1vVFeHx21dnULkVTxQjezTJLKDt+IfOViJJ1mHgYGBkJo/ncyvNAVxHaX7Y0HMNjQ5tv3hXQfFmqLE+YZCTLStAkw4+y02+T3y7m8KeU9FpMTptk3NNWeZNnUFh8iJcIRdM3asDTx82Rrc7su7WLEdN5wWxEE+X0aZiCe5wxMnUhVkTqGKB95feCux4qWQ2HQDP43TBa9IREo0BpzreFAykfgBIRTXVwBCj+9K7XstbciSUfn6NRgte5zeyX35g+vYCIu0iTOxfkIOXIc5ywJjSVS12Y70JvJDlpGnbZTRuNTkub3FqIkk1kow1uczmDRLsbXWfmMhmNpNhLkIm1DI1zdAlLp6qig37WwnYopdGDQxiZRynxIQA9u7tHngJ6TPBF8w7NA3+xTHIrhoABU2DRKe4TTaXhOu761VEzaio1JGzBNUEy4lMmnJcdSVrsogJMbxZEL7F6UeECNReY5AdNe4KKfFC8B0TxBw0Vp0x2LMYEKxXbx/qGI68ETIRhhkHCsOoeseB5LDe5NjcUfSGvpK+7yNkmqLLovceTba4x7VyRvBTYZMeNCBH9Syaslg0lvWjXFLb9HuXf7+j2a+CK2CbPRFNwUdEYYn7CfUNKXCwOZMqXP6nXIs67YZA9Tb8jZlxjcD9MEZXMMjMIHq9DUpww5Tn+AGX0Pt1r2pr/Z7GI6eeuKZrn16ftfrCxhQUELatQLfhpKo1db9PHBHIZln7/JS2csPPjV4xsWmac2+Ixc1O9e/9L1qut9tDRO5QkTwLrsRZDre68cAEXqbTZ6LjsPzE1F3QpRpA5DRFGEY4TH/tVS6p9Cf00pGOJ4Az+7h5n4CTpc4maKOYoeUauuoA8fV2BYOIFt8MRKa/FMZr5o6bRsD+OhgNW1wzQL/HWobdkhy/2U8kQr04roBMSuOELSZShj3xrAbvuacE8GzdPLNhG/st6BZkmTHbBhaZGmcmV2aQpTSmgpoB2w9DzMItwahwZW32CaaujzjQss9tLzID76IPlngJC18KNUbI40oiZUJCm+12L1941oLXbrdSPhF1W6L8qEr6ztmV+VoOhUs8TEyRkI7/KSU6PJYA7CaG0r7sTjAKvb5JbiEMZtTa0XZP2DNKQ+ATrULbxZit0peMamEH8sxXmhxjOyPhogMFwhJXJXmfsLnJkEumd9kgdK+ZxRsLXu/cz6vMtymW11BWt8P8XhS8OwbkXYBd5DWpaQwHZUF8TwaXKiLCMa+iJMeqnketXKfLqqaYV3aGs/yVg/y6LHkPW4cXuDdPmogjdq4FmptyzXC6Kr6or4fG4sDoAgDA7BC0LTxhE9DJSGqsRRmvzmrLCCxdaJia56y+zBaOKnVzCzgX+IiXYxmsfbK7GZX5yHEhfpfJTWAnwzkyZzp7qDTup4bTNHfZlnMhA+iQlNAGTKHPag6DRPV1kMj6Stdl3rtmcguIJfIvmDV9HL3BU831brC9rteH+to7H0yO3kiUR+VPl/qPExud/kdl7U+d0C/IvEtQaoa9J7DcDULlVDou1/ywknlTcbP2MeK3WECPvNSk05B6jBZ/zKWurUjTtyfVBjHKUtm56efuCADtCggKTsVPtjiYk0K/JdGs2XtA0iDPAwVbUfaoO8sQMbFCdzQmeuEgvJKUUH7DxCWX+21lQ9ZkBhlt11MXcqnBXk5c0/JQ3HZ94Ss9Z02wsMumXiK2VNvPvgo012JoKZDImTMzEiYoob49QmMCQTjtOAgRCY8khwql+atq37GZs2Bj40Bajr1nmjeGjdPEirGb20PJQRmMBflk9e9GkvdWVrEipuNTB4M6XRwcOcCqB0sDjvpNPbisOn6awMDh/55Ud0UDad8G4nFZkQg8RPcLtPzXwQuMrsc+2EeLtY71e4DNcCZTeBaQ1w5B5wosvJhA7kNvkojtlWIECISLaY5fIwTc6xVH1hlnaNbTn17fjk4ejPI5A16VwnSb0otrVFv57WFvk8v2n3/OFt3VeG/E8x+hpDbfMp+1nLJ/whszDrKj8kzlH2RlZzTwCIea60OurQ6ybcR+Q+qW9/Dsl5Vcm4LRHKRJ5GNjSWomj/hAI9wBwiY1EcgU62x6ohQsZGkzegk1GziqsRWJqowtEzyiKDMmDfhXjiPCzthF+CvY5L3BeBbsdcnBOLe0KVh7E5aWaCVh45nZS5YlOzJ40MgrL7gVW6+GQBGkiUx4SnEu2P8ugV0VlQwANhBBEhb4gNnBbDm/GbHJ7L1UrIpn1/3jzJjkqoleuobOOv12LIGBEcNph3z5k1C+8jNL5hAECMoksJpRStgK9w0DLQ6OpMdnmMrxouNJx9a402fun09NZhVCTfoyGZH6a+pLbXFpMk6GhPQ1mcTO3bkbDE7f6ODi1E1UvO0b1TmhLkF907d42A0LgQgNrQusdUwHYuvb/1JGdih/G27kSsNU9wX8hd38RhB7msLmwrjm1sspyJ58er0CDx6EAwXJ7yxQMvKx86L5KI/j2JQzNLmdbnImIH9ZpDXNW4kyiqq35k58a8P7s5oqbDuMHvXKB4aoz16aWvrbaFfxgnu+U9HT7BxFSSs3WomzhVQjEHIkNTqu1BsN1qh9gMF025WgYT5gAyczhts437fPUfngDKVKkEjATG7egEPm5vp4O2RL+bR7Q177MCjARY+TCgpsguCzwUgi1HD9WMmvpcLdV2FTJtNFMIS+ZsE5SyMAvL/+QoF2FdJSWOm5/sTyRxJ8zvEoloUdmsHXTbBRem9SFqyPegBm9LRVHdfRMind9M3kayruisETKsUEYqQewwS9pn4kU1hNgkTNXgGCK3TpGUJklqTGmpVf5Ww3OFZ6h4TachkEzE0zE9HXOTmnBMnDWxhs7B7et6O9/AvpJwDUz2Yvv2aJ5plnNmU8NkZuCabLhg32plEWfykCirAoPsV0fxBUcJ2uzXBrrN/vtUqyaXiOSYapi/toX7YSFzCYIZqROvHqNlR0QlyYhSnIxJFbPDS4BaegHlfvFsBIxuqueOq1YXaZ0gR9FzxYcOkVfA2A252FikdyIEg8sIOs635dAfHSxnczRUXflFQc7qEOFm9E0GWrQROkEOMfsBTzVZ8aDYKzwvC/MnlLjDIIo2vH9Awjv1oCKC8wkcpoWufAEOD/DClIk6OI6OIThfA1ekr+zmHC1Fv/WMA58gHtFPVdnuHiS06Zn70xVoylE/Ie9ll8IPp/U90VT3RjRWOb4ZtR4jcUrlyj4/bm1iLTpVV2ntoUCQgak3yS4v+x7Z4w5G7INH9iuFWLjXAo8egRIqt1tNIoXuAAj2LlQmH7QlvZPFJyvpeOWJlOK4JVtNrwlgIEXLBL8b51W95OQv7E0sfqmRGxMmS7kvG6EFgTJG3ND8Qyj+puYc/8ngpU6K083o8xivN6/rAu3F/WXvuuwxuvDWEZ4VK+f4JKl5cLX+3cCUaNmAy/5PEhpVaWGWvL8V/YaxeijPA8NgqYQqYVoQk7eNGpWonbbir8mofziUVs0nv15e6slcUqwXygTlyUhaUvgBASG+y3OdXrGc2ZiivuLTU8hp1qnJBKox1uz3YCwppeXYIBrHctch5tFnD9CI8gg7L+rSb+7OUTNF8p/kjLqMLvFhmReNU6uNMirfrmAt1k1GPkYHOBc35mAlj6u2g917v0+UxGSAUFpd7Xh4aYI4VTT1YO0nUhSPK7J1Koeq7uJAL8qUoeI16YtFjc7E3UwHwaPLgSPUWjv2udB+ABVBZVo4Yh8rKfX9rik3Se3QpDyC9zthMLRm8jbgJbZmvueoOYIyzDNBExhJuHIRzKmMgzkmoYcliXAuUf4EAdTPDngwM5xxXvrfIGpwgVfRAsLQe7EaS3W6PZjYQQ/Q3QIQdAmk5iAiTPS02BJrmtzlWdp4tJRpkmuhY/5Ew5WVR/GzzL2mpFSMMqjDV3e0nSt5pIMXw9jaimwwOtJx09GNPVN2gEqA61RphaWBpVLanuNUs+f4Q8YZG2m67fTSb+/htlWk6k09ikFZiMUJhwtgeUA3pYxS4zqUzsLVcpzbd0d9k37Q2Y/irA0HAwoy0MBW/LLVbtFZUT0r5e4N/1Ndq0+vl/XNr/btYNKR8auGdNlQrPhkYVA5gJxP158+kDt3hVvjWYUZNi3s8vZdO5VFd5HTqEET23icdjzxzAcds26L4m3+fmOpDh6JgFP+xCoOUioSnfhDQmprdFZs16p8k0AhyJqp/skhcy5aHT/TKedL7nl5K1qp2TobbXbyowsvPiVA2QTrCLhbbnsiKtBxGwKhnmqjVwUlNt2KR47MWitTSn3Kwwi0AqJBlzR8NZNSm1ATCcTF/h/uT+1DMG1Zstl2HYHyqy60lZ3FaQg0CZqUNB/GW1Gjxq8accmGaYTWW+UcbnjWp2NgMzz62mwDKG8Dlif4pZCfzLCuv7oGudfo4SfBAnYMV9NCanjMtXlDMuUAmCr1CJ7TsG8zC9NHtQ9B5fZI07i5qWlRVdkl8lFbi5HY0dJsetVY44VKoEZq3VGCTR9rczVZVaX+N3WSxvBgH7HU9BhT83cnCupsjTCISJ0uAr1jaCOK3hn4oVci2Et827XeEma1BTKdpyhKth2nKLacq2wxmaftx8+a5r3h7DNd/zpXjSc5JbNsYjcfVsXGcbAO/dRuTKEQ2YknOvpsQf8FU6r0z5uhel5HQZTTRy+yxNqGaY+lZHEmguhJFGYVcOprpvxVbs79oYM1Oa8Xjz6glGWmDdntbMT3DWfXJuVjzcx0Isulwlfq1P2ykcKEb7QFb6O7SZXb2ShyS5xemvqKwYtm3CqXa1Nv8brC62sYgElFMeFG2nk2Oep7I83+ga+dZn6hQ4czVrdT8d1GbtUxx0LaMy3VOJjwaAzMtw0HkkV91V4MQpnwJohuY66tPtkacP+90NKQqTCC4/y2BJ9rDJMcm99zE7Qdd19mBw5mVbEt8ySIIYP9JM5yJUJQch592ZJONigUBX7J0uZjptSS0fzlSmauiR40Q5LTAGHKGn7goelDliho2/JcWz9jOUGLM5GH5WkZYk71XFdUPsaCx3RGm7MAYkJnyDZ2xl+DqXV7dqefjMthzWrTLz8B1hZdYikcrG44yQGZC5uuvL02ZDMfbGW7147INVGR9q/ScS7GE3hpuXo7rBPadGQvJwPhcbijF6IZRJO665FPBwqiE++6/GF2cXZYcTbwiXcH03LbazbDoIzhyFWYT0qQbPduELliKt3SmLvYc6fa9TuXt6t0mgwF+D3qu7THfuL5lfX9OlpG4mOOEe66DSI8I2nGX0KB9sDkwlElVe+iwcAfOIIytCyuWggstLFLdBi3v4HCsKC3UjwKqac+eMmAfd5U0fBJXf78rPjeLH+FVn6thcRQjeb4xV3hIMVjDkpuhMqtPOLPrQPxVNw9qB9M5MoMg1J4wzHbLQrba2nSAuwzdhtWvBUvn+HqC7uNWaX0BTHtzAP8xCUZqi3+noY8i1LIoi2tvTUTUkhHajFrLjHlrhWa8gUGv+y2Fmls6vbhDJ1yZsc3dxvFMYXGrWKb5I1on0UyxvTlp5Ll7mLvN1MZkT6SyqCx62oTP6LMedja2fHW8QektBiL1SQ6uPjahID67njNgrmyjnJ3at1tbF28MawzpEPnq1GLicihRJW//2Q7jvhcc4Me43X9uP37y8VnvTHlpvYtbiEXRcvH7QvUvkbY8LnDIhPLuOSw/s+qD8MhT3NhvlYqfjUj5zch1x4v/TbkNEu8EbvyKhuTO2Gd/f9lrOrzF5cAAA=="}},{"key":"p6-s3-mid-size-up","code_sha256":"d2daff2868d9857dece4bcedc80cdc78786bdbd5cb92aacc6597ea5864721eff","code":"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"}],"scoreboard":{"incumbent":"MA","incumbent_code_sha256":"5d1bd5272884f513b19f0e66a7c235f6c188a08e4f7787ac9346f1614dda3ed3","ranking_basis":"holdout target-spread mean_diff/se, descending; hashes and paired differences in rows","ranked_candidates":[{"key":"d6-s2-retreat-posterior","target_mean_diff_over_se":5.118692818727059},{"key":"p6-s3-retreat-strength","target_mean_diff_over_se":3.2989146742647835},{"key":"p6-s3-mid-size-up","target_mean_diff_over_se":2.448817994594635},{"key":"p6-s3-retreat-crossing","target_mean_diff_over_se":1.7764339251603938},{"key":"p6-s2-lowp-early-bids","target_mean_diff_over_se":1.3587438643537695},{"key":"c6-s4-cancel-norisk","target_mean_diff_over_se":1.3161236779124528},{"key":"p6-s3-flow-transfer","target_mean_diff_over_se":0.9239283453851718}],"promotions":[],"finalist_evidence":null},"notes":[{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"All seven supplied inputs are present and match task-provided SHA-256 values. Full decoded code hashes match code_sha256 and all seven compile as Python. These are static and arithmetic checks, not independent simulation replication. Each row is sourced to its named input; tuning comes from tuning.variants, holdout from paired, worst seeds from worst_seeds. Source files were read at .imd/reads/artifacts/item-<key>."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"Each per_seed array contains exactly the unique seeds 450000..450999, with spread counts 227,270,252,251. All off-target edge differences are exactly zero. All rows report complete=true and no missing seeds or failures. Crossing uses numeric failures=0; others use []; retained as supplied. Full action traces and per-seed retail/arb are absent, so action-equality assertions and component scores remain item-reported."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"Recomputed counts, sums, squared sums, means and SE from per_seed: agreement within rounding, tolerances 0.001 for sums/squared sums and 0.000001 for means/SE. SE=sqrt((sum_d2-sum_d^2/n)/(n*(n-1))). All worst_seeds match the five smallest differences. Aggregate retail+arb agrees with total within 0.0000011."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"All report the same MA hash shown in scoreboard. Check values agree to six decimals: seeds 310000..310003 give 17.116002,23.820392,2.376144,243.872140. No wrong check value found across reports; checks were not rerun in the simulator."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"Same-seed base means differ only in rounding/summation precision: overall 107.741147..107.74114722099152; s1 48.303185..48.303185297529076; s2 86.1184347134422..86.118435; s3 130.70528..130.70528015485002; s4 161.699666..161.6996660828713. No substantive baseline discrepancy found. Tuning base means where present similarly agree to six decimals; crossing omits tuning base means and sums."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"Tuning variant scores mix scopes: cancel-norisk, lowp-early-bids and retreat-posterior report target-spread mean/SE; all four spread-3 items report overall mean/SE. Rows normalize tuning.mean_diff/se to target spread and retain original scores with scope labels. Every selected variant maximizes reported target tuning mean and matches the submitted code hash."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"All items report disjoint tuning 340000..340199 and holdout 450000..450999, and no use of reserved finalist seeds 900000..903999. Rank uses signed holdout target mean/SE. No finalist evidence is supplied and no promotion is made. MA remains incumbent. Shared-seed screens are not independent replications; selection requires independent finalist measurement."},{"sources":["p6-s3-retreat-crossing","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"Requester flags failed upstream source revalidation: crossing two sources, mid-size-up one, flow-transfer one. These JSONs provide no source URL/quote inventory identifying affected passages; exact failed URLs cannot be recovered. Treat upstream provenance and source-derived claims as unverified. Retain local reported screens and hash-checked code, without treating upstream claims as corroboration. Crossing notes cite prior F-vs-N s3 +0.41 SE 0.20; not endorsed here. Mid-size-up remains top-three by the requested arithmetic ranking, with this caveat; no invented reliability adjustment."},{"sources":["p6-s3-retreat-crossing","p6-s3-retreat-strength"],"finding":"Both use retreat-triggered posterior reweighting, mainly differing in strength 0.5 versus 0.7. They are overlapping mechanisms, contrary to treating each as a distinct idea under the round objective. Do not add their gains as independent interventions."},{"sources":["c6-s4-cancel-norisk"],"finding":"Notes say separate 50-seed chunks ran in parallel, despite one process per simulation and no workers/sandbox. Whole-item compliance with the single-process requirement is therefore not established. Arithmetic remains consistent. Attributing most gain to premium removal is a hypothesis: no premium-removal-only variant is supplied."},{"sources":["d6-s2-retreat-posterior","p6-s3-retreat-strength","p6-s3-mid-size-up"],"finding":"Top-three target ratios exceed two but are not finalist evidence. Posterior and mid-size gain retail while worsening arbitrage; only strength improves both components in these screens (see paired.by_spread). No combined-code gain is measured."},{"sources":["c6-s4-cancel-norisk","p6-s2-lowp-early-bids","d6-s2-retreat-posterior","p6-s3-retreat-crossing","p6-s3-retreat-strength","p6-s3-mid-size-up","p6-s3-flow-transfer"],"finding":"top[].code is copied exactly: posterior and mid-size are gzip+base64 strings; strength is the original {encoding,utf8_bytes,data} object. Base64-decode the string or object.data, then gzip-decompress; code_sha256 hashes the resulting UTF-8 bytes. Full strategies are included without rewriting."}],"sources":{"c6-s4-cancel-norisk":{"path":"artifacts/goal/batches/r6-port/items/c6-s4-cancel-norisk/result.json","sha256":"131dbdb4519191da079db8e038b02bff1c649edd7d6eb31e33fe05cdc953cc5d"},"p6-s2-lowp-early-bids":{"path":"artifacts/goal/batches/r6-port/items/p6-s2-lowp-early-bids/result.json","sha256":"ff1b96c7c94f726f637602df55237f4872e6ebdf758f73b396cd8a82143510a2"},"d6-s2-retreat-posterior":{"path":"artifacts/goal/batches/r6-port/items/d6-s2-retreat-posterior/result.json","sha256":"7afabd473309686a933ffd67be8a4ff62537ad080839a565436a6bf40e3913e9"},"p6-s3-retreat-crossing":{"path":"artifacts/goal/batches/r6-port/items/p6-s3-retreat-crossing/result.json","sha256":"fe1f0c69650eff2b3bfce2a91d2166081b7913eb06156902c067084db605a3a0"},"p6-s3-retreat-strength":{"path":"artifacts/goal/batches/r6-port/items/p6-s3-retreat-strength/result.json","sha256":"5b7fb2cea6c450928c911525be1e12cdbb3c8f1c5d8ca4895a053cd21b018f38"},"p6-s3-mid-size-up":{"path":"artifacts/goal/batches/r6-port/items/p6-s3-mid-size-up/result.json","sha256":"034fb73576267e599f4c4806ea4f391409525c28723f8c5d052d15c058c4dd91"},"p6-s3-flow-transfer":{"path":"artifacts/goal/batches/r6-port/items/p6-s3-flow-transfer/result.json","sha256":"38f38ab2ca3ee05263f93f1b3a2db6980d27f3394dd0a0b7c026b8f659db58c0"}}}
```