{"schema_version":1,"runs":{"timer":{"run":"controller-affine-seed83","config":{"source":"models/stage1_pointer/executor_r-seed61/step-002250","data":"data/pointer/seed-61-independent","device":"cuda","seed":83,"train_graphs":256,"validation_graphs":128,"extraction_batch_size":64,"batch_size":256,"steps":3000,"warmup_steps":100,"learning_rate":0.01,"min_lr_ratio":0.1,"eval_every":100,"log_every":10,"evaluation_max_depth":16,"optimizer_seed":83,"remaining_readout":true,"remaining_loss_weight":1.0,"remaining_scale":12.0,"initial_loss_weight":12.0,"requested_counts":[1,2,3,4,5,6,7,8,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,31,32,33,34,35,36,37,38,39,40,42,43,44,45,46,47,48,49,50,51,52,54,55,56,57,58,59,60,61,62,63],"training_loops":12,"controller_kind":"affine_suffix","affine_gain_lr_ratio":0.01},"selected_step":3000,"training":{"steps":[1,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200,210,220,230,240,250,260,270,280,290,300,310,320,330,340,350,360,370,380,390,400,410,420,430,440,450,460,470,480,490,500,510,520,530,540,550,560,570,580,590,600,610,620,630,640,650,660,670,680,690,700,710,720,730,740,750,760,770,780,790,800,810,820,830,840,850,860,870,880,890,900,910,920,930,940,950,960,970,980,990,1000,1010,1020,1030,1040,1050,1060,1070,1080,1090,1100,1110,1120,1130,1140,1150,1160,1170,1180,1190,1200,1210,1220,1230,1240,1250,1260,1270,1280,1290,1300,1310,1320,1330,1340,1350,1360,1370,1380,1390,1400,1410,1420,1430,1440,1450,1460,1470,1480,1490,1500,1510,1520,1530,1540,1550,1560,1570,1580,1590,1600,1610,1620,1630,1640,1650,1660,1670,1680,1690,1700,1710,1720,1730,1740,1750,1760,1770,1780,1790,1800,1810,1820,1830,1840,1850,1860,1870,1880,1890,1900,1910,1920,1930,1940,1950,1960,1970,1980,1990,2000,2010,2020,2030,2040,2050,2060,2070,2080,2090,2100,2110,2120,2130,2140,2150,2160,2170,2180,2190,2200,2210,2220,2230,2240,2250,2260,2270,2280,2290,2300,2310,2320,2330,2340,2350,2360,2370,2380,2390,2400,2410,2420,2430,2440,2450,2460,2470,2480,2490,2500,2510,2520,2530,2540,2550,2560,2570,2580,2590,2600,2610,2620,2630,2640,2650,2660,2670,2680,2690,2700,2710,2720,2730,2740,2750,2760,2770,2780,2790,2800,2810,2820,2830,2840,2850,2860,2870,2880,2890,2900,2910,2920,2930,2940,2950,2960,2970,2980,2990,3000],"examples":[256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256,256],"stop_loss":[0.6931471824645996,0.6273428201675415,0.4621348977088928,0.2988673746585846,0.23847657442092896,0.21690966188907623,0.20804354548454285,0.1501978635787964,0.15891824662685394,0.15330509841442108,0.15591341257095337,0.151937797665596,0.1448892056941986,0.11475163698196411,0.10504259914159775,0.09548568725585938,0.09052268415689468,0.08842211216688156,0.09819881618022919,0.10823459923267365,0.08746451139450073,0.09443489462137222,0.08273521065711975,0.07896969467401505,0.07688355445861816,0.06263670325279236,0.08002254366874695,0.05991891026496887,0.0671304315328598,0.06331143528223038,0.06283853948116302,0.06857270002365112,0.06194164976477623,0.06312388926744461,0.05950664356350899,0.06525993347167969,0.057307131588459015,0.048070039600133896,0.04742977395653725,0.053569383919239044,0.06276145577430725,0.048076529055833817,0.05613619461655617,0.05830729380249977,0.049644775688648224,0.048398375511169434,0.05503152683377266,0.04524604231119156,0.05269755423069,0.05600373446941376,0.048139482736587524,0.04373003542423248,0.04741312935948372,0.04540629684925079,0.04198304936289787,0.0484381765127182,0.04327888786792755,0.04814930260181427,0.04120331630110741,0.04715828225016594,0.041734494268894196,0.03499077260494232,0.029050031676888466,0.042571309953927994,0.036696337163448334,0.0392715185880661,0.0408494770526886,0.03380046784877777,0.03547603264451027,0.03955079987645149,0.029418669641017914,0.03107081539928913,0.04110389202833176,0.03770463168621063,0.03303810954093933,0.04453884810209274,0.03351913392543793,0.03855838626623154,0.034263722598552704,0.03359571099281311,0.025719350203871727,0.030969105660915375,0.04350823909044266,0.0361594632267952,0.03202468156814575,0.03085383027791977,0.022799544036388397,0.027567381039261818,0.02938363328576088,0.03523276001214981,0.03392879664897919,0.03574943542480469,0.027295729145407677,0.033770449459552765,0.024813443422317505,0.024161938577890396,0.03708295524120331,0.02623874321579933,0.029708337038755417,0.029183126986026764,0.031984638422727585,0.027714256197214127,0.027521152049303055,0.030872397124767303,0.02703273855149746,0.024777408689260483,0.027158088982105255,0.03140183910727501,0.03753254935145378,0.021416358649730682,0.029406346380710602,0.026831496506929398,0.024926332756876945,0.021801741793751717,0.02281283028423786,0.02520580030977726,0.022222032770514488,0.02539951354265213,0.025522250682115555,0.023242294788360596,0.026783069595694542,0.023719003424048424,0.02256818115711212,0.026063010096549988,0.03785489499568939,0.024116847664117813,0.021965578198432922,0.02103978581726551,0.020711693912744522,0.03035334125161171,0.023738333955407143,0.026168595999479294,0.02187146060168743,0.02436026930809021,0.027362335473299026,0.021117080003023148,0.022735638543963432,0.020940687507390976,0.025410767644643784,0.021934404969215393,0.02429584413766861,0.01897653378546238,0.019765080884099007,0.024658378213644028,0.022685250267386436,0.020330481231212616,0.017449449747800827,0.018711727112531662,0.023215264081954956,0.02068285644054413,0.0221022367477417,0.021072397008538246,0.02625773847103119,0.021350596100091934,0.021798336878418922,0.012770216912031174,0.022005781531333923,0.022198285907506943,0.024517815560102463,0.02103544771671295,0.017720814794301987,0.021675944328308105,0.02255868725478649,0.018272867426276207,0.01654067263007164,0.016022074967622757,0.019525744020938873,0.017955083400011063,0.017118224874138832,0.023172497749328613,0.020745327696204185,0.017977679148316383,0.017498217523097992,0.021046053618192673,0.02000284194946289,0.018186207860708237,0.01938690058887005,0.01343370322138071,0.017376292496919632,0.018288560211658478,0.018724951893091202,0.019400598481297493,0.024787258356809616,0.017765622586011887,0.015694931149482727,0.014407034032046795,0.017011519521474838,0.016537658870220184,0.01940205693244934,0.01963897794485092,0.014493100345134735,0.018150299787521362,0.020489461719989777,0.019050417467951775,0.018240051344037056,0.023310519754886627,0.02145473286509514,0.016155622899532318,0.01959884911775589,0.01793694496154785,0.01737900823354721,0.01701558381319046,0.015714220702648163,0.017970126122236252,0.016194947063922882,0.016800686717033386,0.015729978680610657,0.016141202300786972,0.01908034086227417,0.016521943733096123,0.019599758088588715,0.01842615380883217,0.0186143908649683,0.01442654151469469,0.010967296548187733,0.0170249342918396,0.017361879348754883,0.01681305095553398,0.012111086398363113,0.017286669462919235,0.020566368475556374,0.016926907002925873,0.01614135503768921,0.012593809515237808,0.01638907380402088,0.014981310814619064,0.016306599602103233,0.017749223858118057,0.014739003032445908,0.012851761654019356,0.0121548380702734,0.015657678246498108,0.014630958437919617,0.013001244515180588,0.017110852524638176,0.012834257446229458,0.020073343068361282,0.0162996556609869,0.01310669630765915,0.01835479587316513,0.015497797168791294,0.015568189322948456,0.01184798963367939,0.01574758067727089,0.019250936806201935,0.011784163303673267,0.014646371826529503,0.01696784421801567,0.014637022279202938,0.014512406662106514,0.015116504393517971,0.012259932234883308,0.017742490395903587,0.016887038946151733,0.014266731217503548,0.014938173815608025,0.01565159484744072,0.016872266307473183,0.01743832230567932,0.013995731249451637,0.013718269765377045,0.015560101717710495,0.011644791811704636,0.015466906130313873,0.014920548535883427,0.010351644828915596,0.013128363527357578,0.014194872230291367,0.012003977783024311,0.013086885213851929,0.017929231747984886,0.015534496866166592,0.016831841319799423,0.016075637191534042,0.011308256536722183,0.014171013608574867,0.017093010246753693,0.011885728687047958,0.01872923970222473,0.013772641308605671,0.015016373246908188,0.01306394673883915,0.012553522363305092,0.01460752822458744,0.014387266710400581,0.01392677053809166,0.017857445403933525,0.01463935524225235,0.012927656061947346,0.01270928606390953,0.012871777638792992,0.015724515542387962,0.013136474415659904,0.01354568637907505,0.015462871640920639,0.012138549238443375,0.01178109273314476,0.016085989773273468,0.014394154772162437,0.01426190696656704,0.016701659187674522]},"validation":[{"step":0,"trained":{"examples":1408,"stop_loss":0.6931472420692444,"exact_stop":0.09090909090909091}},{"step":100,"trained":{"examples":1408,"stop_loss":0.6947062015533447,"exact_stop":0.0}},{"step":200,"trained":{"examples":1408,"stop_loss":0.4145074188709259,"exact_stop":0.2727272727272727}},{"step":300,"trained":{"examples":1408,"stop_loss":0.3177628517150879,"exact_stop":0.09090909090909091}},{"step":400,"trained":{"examples":1408,"stop_loss":0.26849567890167236,"exact_stop":0.09090909090909091}},{"step":500,"trained":{"examples":1408,"stop_loss":0.23573964834213257,"exact_stop":0.09090909090909091}},{"step":600,"trained":{"examples":1408,"stop_loss":0.2108953595161438,"exact_stop":1.0}},{"step":700,"trained":{"examples":1408,"stop_loss":0.19125385582447052,"exact_stop":1.0}},{"step":800,"trained":{"examples":1408,"stop_loss":0.17474676668643951,"exact_stop":1.0}},{"step":900,"trained":{"examples":1408,"stop_loss":0.16088709235191345,"exact_stop":1.0}},{"step":1000,"trained":{"examples":1408,"stop_loss":0.1490914225578308,"exact_stop":1.0}},{"step":1100,"trained":{"examples":1408,"stop_loss":0.13883532583713531,"exact_stop":1.0}},{"step":1200,"trained":{"examples":1408,"stop_loss":0.1300104409456253,"exact_stop":1.0}},{"step":1300,"trained":{"examples":1408,"stop_loss":0.12218919396400452,"exact_stop":1.0}},{"step":1400,"trained":{"examples":1408,"stop_loss":0.11540143936872482,"exact_stop":1.0}},{"step":1500,"trained":{"examples":1408,"stop_loss":0.10938527435064316,"exact_stop":1.0}},{"step":1600,"trained":{"examples":1408,"stop_loss":0.10414504259824753,"exact_stop":1.0}},{"step":1700,"trained":{"examples":1408,"stop_loss":0.09957685321569443,"exact_stop":1.0}},{"step":1800,"trained":{"examples":1408,"stop_loss":0.09549825638532639,"exact_stop":1.0}},{"step":1900,"trained":{"examples":1408,"stop_loss":0.09194083511829376,"exact_stop":1.0}},{"step":2000,"trained":{"examples":1408,"stop_loss":0.08882760256528854,"exact_stop":1.0}},{"step":2100,"trained":{"examples":1408,"stop_loss":0.0861172154545784,"exact_stop":1.0}},{"step":2200,"trained":{"examples":1408,"stop_loss":0.08375611156225204,"exact_stop":1.0}},{"step":2300,"trained":{"examples":1408,"stop_loss":0.08171696960926056,"exact_stop":1.0}},{"step":2400,"trained":{"examples":1408,"stop_loss":0.07995050400495529,"exact_stop":1.0}},{"step":2500,"trained":{"examples":1408,"stop_loss":0.07840894907712936,"exact_stop":1.0}},{"step":2600,"trained":{"examples":1408,"stop_loss":0.07705455273389816,"exact_stop":1.0}},{"step":2700,"trained":{"examples":1408,"stop_loss":0.07588984072208405,"exact_stop":1.0}},{"step":2800,"trained":{"examples":1408,"stop_loss":0.07482346892356873,"exact_stop":1.0}},{"step":2900,"trained":{"examples":1408,"stop_loss":0.07382752746343613,"exact_stop":1.0}},{"step":3000,"trained":{"examples":1408,"stop_loss":0.07286766171455383,"exact_stop":1.0}}]}},"fits":{"reader":{"run":"controller-shared-number-seed83","fit":{"method":"training-label shared gain and projection least squares, rcond=1e-8","training_counts":[1,2,3,4,5,6,7,8,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,31,32,33,34,35,36,37,38,39,40,42,43,44,45,46,47,48,49,50,51,52,54,55,56,57,58,59,60,61,62,63],"gain_fit_counts":[11,12,13,14,15,16,18,21,22,23,24,25,26,27,28,31,32,33,34,35,36,37,38,42,43,44,45,46,47,48,51,52,54,55,56,57,58,61,62,63],"learned_gain":10.0,"feature_rank":10,"training_max_absolute_error":3.814697265625e-06,"digit_value_labels":false,"reader_frozen_after_fit":true},"selection":"Single predetermined fit; no validation/benchmark selection"},"precision":{"run":"controller-shared-number-precision-seed83","fit":{"method":"float64 L-BFGS on original free-running numerical prefix labels; float32 deployment","training_counts":[1,2,3,4,5,6,7,8,10,11,12,13,14,15,16,18,19,20,21,22,23,24,25,26,27,28,30,31,32,33,34,35,36,37,38,39,40,42,43,44,45,46,47,48,49,50,51,52,54,55,56,57,58,59,60,61,62,63],"training_loops":12,"objective_evaluations":10,"before_mse":4.1626904266916364e-09,"fitted_mse":2.002921115782509e-12,"deployed_mse":6.307695082326698e-12,"learned_gain":1.0,"learned_offset":-0.9999999403953552,"numeric_targets_are_inputs":false},"selection":"One predetermined training-label fit; no stress/graph benchmark selection"}},"source_sha256":{"controller-affine-seed83/config.json":"13fe3180ab9f840f637b3821011b378d1f8f1e3179783d8acb79d6bfef033b71","controller-affine-seed83/metrics.jsonl":"2960ae7149f679dc4fd51d4616bca01828814605f95634b44645ca974fc18bd5","controller-affine-seed83/validation_history.csv":"23392c6999673395fdb8bcb546b5edca745a26848d4729fd8111febcf87ae157","controller-affine-seed83/best_checkpoint.json":"195857a00753ff93794b77b930c94adf1ee68d0f09da4d88f76263b2846cb142","controller-shared-number-seed83/summary.json":"899de71c49d8fa26da8fd906ff4ee0650300bb689e2f6eb677908ad3272168b7","controller-shared-number-precision-seed83/summary.json":"92e1a18710f5e8ba56191f27749ab971ee1567e553880b709c30f44c08f05380"},"definitions":{"curve":"Original affine-suffix controller, before shared-reader replacement and precision refinement. Balanced stop BCE only, not total numerical objective.","training":"301 sampled 256-query batches: update 1 and every tenth update. 58 requested counts through 63; nominal rollouts capped at 12.","validation":"31 checkpoints, 1408 queries on 128 graphs, seen counts 1\u201312 excluding 9. Mean per-example balanced BCE.","selection":"Highest short-seen-count exact-stop accuracy, then lowest BCE; update 3000.","fits":"Shared reader: one least-squares fit. Precision: before/fitted/exported numerical training MSE, unscaled squared-step units, initial-state error excluded and denominator min(N,12)+1. No per-iteration or validation history saved for these fits."}}