{"key":"compress-fit","idea":"fit","sanity_exact":false,"candidates":[{"name":"k13_c15_c7_l4","cells":6968,"bytes_1b":7007,"storage_slots_32b":219,"tuning_paired":{"n":256,"mean_diff":-0.1462,"se":0.0294,"worst5":[[60104,-1.542],[60044,-1.506],[60231,-1.356],[60143,-1.315],[60014,-1.254]]},"holdout_paired":{"n":2048,"mean_diff":-0.1306,"se":0.0102,"sum":-267.560557,"sumsq":471.408821,"worst5":[[11759,-2.17],[11137,-1.839],[10822,-1.775],[10522,-1.685],[11526,-1.657]]},"passes":true,"recipe":"10 tables; w knots(bps) [-800, -300, -150, -100, -60, -30, 0, 30, 60, 100, 150, 300, 800]; ph1/2 R cols [-160, -60, -30, -20, -12, -8, -4, 0, 4, 8, 12, 20, 30, 60, 160]; ph0 cols idx [0, 2, 4, 6, 8, 10, 12]; levels sd [0, 8, 20, 34]. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k17_c15_c7_l5","cells":11390,"bytes_1b":11434,"storage_slots_32b":358,"tuning_paired":{"n":256,"mean_diff":-0.0879,"se":0.0281,"worst5":[[60014,-1.819],[60036,-1.49],[60104,-1.417],[60143,-1.161],[60127,-1.073]]},"holdout_paired":{"n":2048,"mean_diff":-0.0653,"se":0.0105,"sum":-133.767031,"sumsq":471.342113,"worst5":[[10519,-2.338],[10822,-1.938],[10671,-1.871],[11808,-1.729],[10765,-1.586]]},"passes":true,"recipe":"10 tables; w knots(bps) [-800, -400, -200, -130, -90, -65, -50, -30, 0, 30, 50, 65, 90, 130, 200, 400, 800]; ph1/2 R cols [-160, -60, -30, -20, -12, -8, -4, 0, 4, 8, 12, 20, 30, 60, 160]; ph0 cols idx [0, 2, 4, 6, 8, 10, 12]; levels sd [0, 8, 16, 26, 34]. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k17_c25_l8","cells":30736,"bytes_1b":30799,"storage_slots_32b":963,"tuning_paired":{"n":256,"mean_diff":-0.0427,"se":0.0246,"worst5":[[60104,-1.272],[60127,-1.06],[60014,-1.02],[60143,-0.918],[60092,-0.915]]},"holdout_paired":{"n":2048,"mean_diff":-0.0507,"se":0.0084,"sum":-103.897136,"sumsq":303.42724,"worst5":[[10765,-1.695],[11555,-1.694],[11526,-1.627],[11166,-1.404],[10955,-1.341]]},"passes":true,"recipe":"10 tables; w knots(bps) [-800, -400, -200, -130, -90, -65, -50, -30, 0, 30, 50, 65, 90, 130, 200, 400, 800]; ph1/2 R cols [-160, -100, -60, -40, -25, -17, -12, -10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 10, 12, 17, 25, 40, 60, 100, 160]; ph0 cols all 13; levels all 8. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k13_full","cells":43472,"bytes_1b":43555,"storage_slots_32b":1362,"tuning_paired":{"n":256,"mean_diff":-0.1207,"se":0.0254,"worst5":[[60011,-1.29],[60037,-1.084],[60212,-1.078],[60180,-1.038],[60115,-1.034]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -300, -150, -100, -60, -30, 0, 30, 60, 100, 150, 300, 800]; ph1/2 R cols all 49; ph0 cols all 13; levels all 8. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k17_full","cells":56848,"bytes_1b":56935,"storage_slots_32b":1780,"tuning_paired":{"n":256,"mean_diff":-0.0677,"se":0.0242,"worst5":[[60104,-1.439],[60230,-1.005],[60014,-0.994],[60107,-0.971],[60127,-0.93]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -400, -200, -130, -90, -65, -50, -30, 0, 30, 50, 65, 90, 130, 200, 400, 800]; ph1/2 R cols all 49; ph0 cols all 13; levels all 8. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k27_full","cells":90288,"bytes_1b":90385,"storage_slots_32b":2825,"tuning_paired":{"n":256,"mean_diff":-0.0295,"se":0.0211,"worst5":[[60066,-1.375],[60104,-1.02],[60010,-0.986],[60127,-0.916],[60044,-0.866]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -500, -300, -200, -150, -120, -100, -80, -65, -55, -45, -30, -15, 0, 15, 30, 45, 55, 65, 80, 100, 120, 150, 200, 300, 500, 800]; ph1/2 R cols all 49; ph0 cols all 13; levels all 8. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k9_full","cells":30096,"bytes_1b":30175,"storage_slots_32b":943,"tuning_paired":{"n":256,"mean_diff":-0.3876,"se":0.0321,"worst5":[[60078,-2.242],[60126,-2.19],[60036,-1.782],[60104,-1.656],[60065,-1.56]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -200, -100, -50, 0, 50, 100, 200, 800]; ph1/2 R cols all 49; ph0 cols all 13; levels all 8. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k11_c11_c5_l3","cells":3234,"bytes_1b":3264,"storage_slots_32b":102,"tuning_paired":{"n":256,"mean_diff":-0.4098,"se":0.0353,"worst5":[[60152,-2.262],[60143,-1.999],[60126,-1.907],[60066,-1.903],[60078,-1.722]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -200, -100, -60, -30, 0, 30, 60, 100, 200, 800]; ph1/2 R cols [-160, -30, -12, -6, -2, 0, 2, 6, 12, 30, 160]; ph0 cols idx [0, 3, 6, 9, 12]; levels sd [0, 16, 34]. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k13_c11_c5_l3","cells":3822,"bytes_1b":3854,"storage_slots_32b":121,"tuning_paired":{"n":256,"mean_diff":-0.5092,"se":0.0333,"worst5":[[60066,-2.186],[60117,-1.786],[60002,-1.732],[60210,-1.681],[60104,-1.648]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -300, -150, -100, -60, -30, 0, 30, 60, 100, 150, 300, 800]; ph1/2 R cols [-160, -30, -12, -6, -2, 0, 2, 6, 12, 30, 160]; ph0 cols idx [0, 3, 6, 9, 12]; levels sd [0, 16, 34]. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."},{"name":"k17_c11_c7_l4","cells":6936,"bytes_1b":6975,"storage_slots_32b":218,"tuning_paired":{"n":256,"mean_diff":-0.4679,"se":0.0291,"worst5":[[60104,-2.251],[60204,-1.729],[60143,-1.729],[60057,-1.581],[60117,-1.568]]},"holdout_paired":null,"passes":false,"recipe":"10 tables; w knots(bps) [-800, -400, -200, -130, -90, -65, -50, -30, 0, 30, 50, 65, 90, 130, 200, 400, 800]; ph1/2 R cols [-160, -30, -12, -6, -2, 0, 2, 6, 12, 30, 160]; ph0 cols idx [0, 2, 4, 6, 8, 10, 12]; levels sd [0, 8, 20, 34]. uint8 byte+(-100)=offset bps. Expand: PL in w, linear in col idx, linear in sd; real.py fee clamp."}],"best":"k13_c15_c7_l4","code_zb64":"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","code_sha256":"29a1f7c05e9500332e1059e5703a3b70329016fe70c6f97fe860cad1798eeab4","notes":"Sanity: unmodified qm_k1e-5.json on 10000..10063 matches ref/gauss_qm.json to <4e-10 on 63 seeds; seed 10037 differs by 0.0020 edge (first-trade count 6719 vs 6718: a float-noise branch flip), so not bit-exact. Fit: per table/level/column weighted LS piecewise-linear in w (row weights = cell-visit counts from 64 replica runs, seeds 61000..61063, +1% floor) with a hinge where the offset sits at the zero-fee bound, then LS across kept columns and levels; knot values rounded to whole bps, uint8 with offset -100. Cost curve (tuning mean_diff vs bytes): 90.4KB -0.03, 56.9KB -0.07, 43.6KB -0.12, 30.8KB -0.04 (k17 c25), 30.2KB -0.39 (k9), 11.4KB -0.09, 7.0KB -0.15, 7.0KB -0.47 / 3.9KB -0.51 / 3.3KB -0.41 (11 rival cols). Rival columns are the binding axis: 15 phase-1/2 columns hold, 11 cost ~0.4; w knots 13-17 and 4-5 sd levels are cheap. Holdout (2048 seeds): k17_c25_l8 -0.051, k17_c15_c7_l5 -0.065, k13_c15_c7_l4 -0.131; all pass. Uint8 cells at 0 or 255 (clipped) per candidate: {\"k13_c15_c7_l4\": 1094, \"k17_c15_c7_l5\": 2040, \"k17_c25_l8\": 5488}. Next: place R columns by visit weight (try 13 cols), mirror ask(w,R)=bid(-w,-R) to halve cells, merge s/c rival modes, quadratic segments in w; all far above 32 slots so ship as code constants (11.4KB fits under 24KB)."}