[{"data":1,"prerenderedAt":102},["ShallowReactive",2],{"run:mcmc-noise-sh3-smoke":3,"run-findings:mcmc-noise-sh3-smoke":76},{"run":4,"config":17,"metrics":48,"curve":54,"assets":75},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":16},"mcmc-noise-sh3-smoke","MCMC segfault 切り分け #2: SGLD noise 5e3 のみ、sh=3 cap=1M","Run summary · A.2 debug","2026-05-23","splat","c5a29eb",[12,13,14,15],"debug","mcmc","smoke","noise-only-sh3","partial",[18,21,24,27,30,33,36,39,42,45],{"key":19,"value":20},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Flego",{"key":22,"value":23},"iterations","300",{"key":25,"value":26},"seed","42",{"key":28,"value":29},"capacity","1,000,000 splats",{"key":31,"value":32},"sh_degree","3",{"key":34,"value":35},"loss","L1Ssim",{"key":37,"value":38},"lambda","0.200",{"key":40,"value":41},"ssim","window=7 sigma=1",{"key":43,"value":44},"backend.backward","Simd",{"key":46,"value":47},"backend.loss_path","Gpu",{"psnr":49,"wallclock":50,"wallclock_regress":51,"splats":52,"final_loss":53},12.896780014038086,"7.64s",false,5207,"1.197730e-1",{"loss":55,"splats":72},{"iters":56,"values":64},[57,58,59,60,61,62,63],1,50,100,150,200,250,300,[65,66,67,68,69,70,71],0.3453388810157776,0.22249332070350647,0.17625996470451355,0.1562761664390564,0.13200902938842773,0.13280269503593445,0.1197730004787445,{"iters":73,"values":74},[57,58,59,60,61,62,63],[52,52,52,52,52,52,52],{"has_renders":51,"has_splat":51},[77],{"id":78,"title":79,"date":8,"status":80,"polarity":81,"category":82,"axes":83,"tags":84,"task_code":90,"related_runs":91,"delta_psnr":97,"delta_wallclock":-1,"rank":98,"verdict":99,"impact_summary":100,"detail_path":101},"mcmc-noise-calibration","A.2 MCMC 検証で発覚した noise gate 不整合と L1 全滅 segfault","stable","negative","experiment",[57],[85,13,86,87,88,14,89],"phase-5","sgld-noise","calibration","regression","segfault","A.2",[92,93,5,94,95,96],"lego-mcmc-30k","mcmc-l1-only-smoke","mcmc-combo-iter-bisect","mcmc-combo-500","mcmc-l1-500","2.5 dB (sh=3 + 全部入り、50 iter で発散)","high","investigative","SGLD gate を paper 式に揃えた結果 mean_noise_weight が ~50-150x スケールズレし、calibration 補正 (5e5→5e3) でも iter 240 前後で SIGSEGV。Bisect smoke で真因が L1 全滅 → refine prune → 空 buffer crash というアルゴリズム順序問題と判明。Calibration ≠ correctness。","\u002Ffindings\u002Fmcmc-noise-calibration\u002F",1782449788259]