[{"data":1,"prerenderedAt":251},["ShallowReactive",2],{"run:lego-mcmc-fix3-final-relocation-only-30k":3,"run-findings:lego-mcmc-fix3-final-relocation-only-30k":219},{"run":4,"config":19,"metrics":53,"curve":59,"assets":218},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":18},"lego-mcmc-fix3-final-relocation-only-30k","G3 MCMC final — relocation only (scale_l1=0, noise=5e0)、ablation-C 30k full で Lego 30k、Phase I との差分で growth schedule 効果を測定","Run summary · G3 MCMC fix3 sweep","2026-07-01","splat","c8c984a",[12,13,14,15,16,17],"mcmc","g3","fix3","smoke","noise-sweep","lego","partial",[20,23,26,29,32,35,38,41,44,47,50],{"key":21,"value":22},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Flego",{"key":24,"value":25},"gt_convention","WhiteBg",{"key":27,"value":28},"iterations","30,000",{"key":30,"value":31},"seed","42",{"key":33,"value":34},"capacity","1,000,000 splats",{"key":36,"value":37},"sh_degree","3",{"key":39,"value":40},"loss","L1Ssim",{"key":42,"value":43},"lambda","0.200",{"key":45,"value":46},"ssim","window=7 sigma=1",{"key":48,"value":49},"backend.backward","Simd",{"key":51,"value":52},"backend.loss_path","Gpu",{"psnr":54,"wallclock":55,"wallclock_regress":56,"splats":57,"final_loss":58},14.646121978759766,"2h 12m 29s",false,1315605,"5.859037e-3",{"loss":60,"splats":185},{"iters":61,"values":123},[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],1,500,1000,1500,2000,2500,3000,3500,4000,4500,5000,5500,6000,6500,7000,7500,8000,8500,9000,9500,10000,10500,11000,11500,12000,12500,13000,13500,14000,14500,15000,15500,16000,16500,17000,17500,18000,18500,19000,19500,20000,20500,21000,21500,22000,22500,23000,23500,24000,24500,25000,25500,26000,26500,27000,27500,28000,28500,29000,29500,30000,[124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184],0.3453387916088104,0.11767688393592834,0.09628656506538391,0.0732213705778122,0.0459633432328701,0.04170917719602585,0.03122546896338463,0.023799167945981026,0.02323773130774498,0.021558301523327827,0.02434326894581318,0.01753518171608448,0.017822766676545143,0.014843916520476341,0.018331939354538918,0.014514276757836342,0.01345020905137062,0.01297830231487751,0.012875968590378761,0.012027550488710403,0.016012446954846382,0.01654781959950924,0.012926490977406502,0.013615383766591549,0.014551670290529728,0.012942876666784286,0.011399888433516026,0.011039609089493752,0.011657741852104664,0.009864995256066322,0.009038781747221947,0.007980121299624443,0.0077499160543084145,0.007635063491761684,0.008112260140478611,0.007421144749969244,0.007155564613640308,0.007624983321875334,0.00713525852188468,0.007037087809294462,0.006719961296766996,0.007888861000537872,0.006810644641518593,0.007077646441757679,0.006197773851454258,0.006634150631725788,0.0065090470016002655,0.006653748452663422,0.006410557311028242,0.0067448122426867485,0.006237437017261982,0.006316495127975941,0.006799750495702028,0.00707608088850975,0.0066405548714101315,0.006200039759278297,0.0065060448832809925,0.006515392102301121,0.00642567640170455,0.005795839708298445,0.005859037395566702,{"iters":186,"values":187},[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],[188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57,57],5207,7439,29378,110277,225625,356640,504890,683542,899566,1010372,1032841,1050626,1067360,1083836,1098376,1112682,1126273,1140215,1152790,1163582,1176060,1186705,1199220,1211616,1224928,1237447,1249684,1266092,1282337,1298595,{"has_renders":56,"has_splat":56},[220],{"id":221,"title":222,"date":223,"status":224,"polarity":225,"category":226,"axes":227,"tags":228,"task_code":233,"related_runs":234,"delta_psnr":245,"delta_wallclock":246,"rank":247,"verdict":248,"impact_summary":249,"detail_path":250},"p1-mcmc-fix3-negative","G3 MCMC fix3 — 5 連敗確定、scale_l1 犯人 + relocation 30k で 14.6 dB 頭打ち","2026-07-21","stable","negative","negative-finding",[62],[12,13,14,225,229,230,231,232],"5-consecutive-failure","scale-eigen-l1","ablation","lego-30k","G3 MCMC fix3 (7 月実行プラン)",[235,236,237,238,239,240,241,242,243,5,244],"lego-mcmc-fix3-noise5e1-smoke","lego-mcmc-fix3-noise5e2-smoke","lego-mcmc-fix3-noise5e3-smoke","lego-mcmc-fix3-noise5e1-iter2000","lego-mcmc-fix3-noise5e2-iter2000","lego-mcmc-fix3-noise5e3-iter2000","lego-mcmc-fix3-ablation-A-baseline-iter2000","lego-mcmc-fix3-ablation-B-scalel1only-iter2000","lego-mcmc-fix3-ablation-C-relocationonly-iter2000","lego-mcmc-fix3-final-noise-relocation-30k","Phase I 36.11 dB 比 -21 dB (relocation-only) \u002F -21 dB (noise-relocation)、fix2 17.38 dB 比 -2.7 dB (更に劣化)","Phase I 11m48s 比 +11x (relocation-only 2h12m) \u002F +13x (noise-relocation 2h38m)","high","5-consecutive-failure-scope-out","\u003Cstrong>G3 MCMC fix3 = 5 連敗確定\u003C\u002Fstrong>。fix2 (17.38 dB) 敗因の calibration ズレを、既実装の 3 欠陥修正版で再挑戦。\u003Cstrong>500 iter smoke で crash なし完走\u003C\u002Fstrong>、\u003Cstrong>2000 iter で 10-12 dB 頭打ち\u003C\u002Fstrong>、\u003Cstrong>ablation で scale_eigen_l1 の毒性を -4.4 dB と測定\u003C\u002Fstrong>、\u003Cstrong>scale_l1 除去した relocation + growth schedule の 30k full 2 パターンで PSNR 14.65 \u002F 14.69 dB\u003C\u002Fstrong> (Phase I baseline 36.11 dB 比 -21 dB)。犯人は複合: (1) scale_eigen_l1 実装が過剰罰化 or 符号ミス、(2) relocation の Eq.9 probability-preserving 実装が本実装の SoA parameterization と結合していない (splats 1.3-1.8M まで肥大化するが PSNR が付いてこない)。\u003Cstrong>7 月実行プラン G3 の timebox 判定基準通り即撤退\u003C\u002Fstrong>、卒論 §5.4 negative finding として 5 連敗目に確定、future work 送り。\u003Cstrong>ただし本 negative finding は従来の 4 連敗より格段に強い evidence\u003C\u002Fstrong> (component ablation で犯人を数値で切り分け、30k full の decisive failure まで到達)、卒論 measurement contribution として §5.4 で厚く記述可能。","\u002Ffindings\u002Fp1-mcmc-fix3-negative\u002F",1790227324490]