[{"data":1,"prerenderedAt":136},["ShallowReactive",2],{"run:lego-iter10000":3,"run-findings:lego-iter10000":109},{"run":4,"config":14,"metrics":45,"curve":51,"assets":103},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":13},"lego-iter10000","E.5 iter scaling: lego sh3 10000 iter (収益逓減 plateau 探索)","Run summary · Phase 5","2026-05-23","splat","5573681",[12,5],"auto-bench","partial",[15,18,21,24,27,30,33,36,39,42],{"key":16,"value":17},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Flego",{"key":19,"value":20},"iterations","10,000",{"key":22,"value":23},"seed","42",{"key":25,"value":26},"capacity","1,000,000 splats",{"key":28,"value":29},"sh_degree","3",{"key":31,"value":32},"loss","L1Ssim",{"key":34,"value":35},"lambda","0.200",{"key":37,"value":38},"ssim","window=7 sigma=1",{"key":40,"value":41},"backend.backward","Simd",{"key":43,"value":44},"backend.loss_path","Gpu",{"psnr":46,"wallclock":47,"wallclock_regress":48,"splats":49,"final_loss":50},24.006683349609375,"6m 40s",false,75510,"2.854006e-2",{"loss":52,"splats":97},{"iters":53,"values":75},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74],1,500,1000,1500,2000,2500,3000,3500,4000,4500,5000,5500,6000,6500,7000,7500,8000,8500,9000,9500,10000,[76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96],0.3453391194343567,0.11791223287582397,0.09918233752250671,0.07601273059844971,0.048706602305173874,0.0397869348526001,0.037584349513053894,0.03459237515926361,0.0362066850066185,0.031955014914274216,0.031838323920965195,0.02994721010327339,0.02990061044692993,0.0303008072078228,0.030536679551005363,0.02919704094529152,0.029168542474508286,0.028406087309122086,0.028788510710000992,0.028139444068074226,0.02854006364941597,{"iters":98,"values":99},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74],[100,101,102,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49],5207,5492,20864,{"has_renders":104,"has_splat":48,"render_views":105},true,[106,107,108],"00","01","02",[110],{"id":111,"title":112,"date":8,"status":113,"polarity":114,"category":115,"axes":116,"tags":118,"task_code":125,"related_runs":126,"delta_psnr":131,"delta_wallclock":132,"rank":133,"verdict":13,"impact_summary":134,"detail_path":135},"e-5-iter-scaling","E.5 iter scaling — 10k で 96.7% 品質、kerbl_exp_decay artifact で non-monotonic","stable","mixed","experiment",[117],3,[119,120,121,122,123,124],"phase-5","e-5","iter-scaling","lr-schedule","kerbl-exp-decay","mobile","E.5",[5,127,128,129,130],"lego-iter15000","lego-iter20000","lego-iter25000","lego-sh3-30k","+0.000 〜 -0.966 dB (mean -0.41 dB from 30k baseline)","-70% 〜 -18% (iter 数に比例)","mid","10k iter で PSNR 24.007 dB を達成、30k baseline (mean 24.834) の 96.7% 品質、wallclock 1\u002F3.4。15k → 23.932、20k → 23.868、25k → 24.623 と non-monotonic で kerbl_exp_decay lr schedule の max_steps 依存性 artifact が混入。卒論モバイル含意では「10k iter で十分、追加 iter は variance noise」と言える反面、E.5 として「fair な iter scaling 比較には固定 schedule での checkpoint 取得が必要」と spec 化が必要。","\u002Ffindings\u002Fe-5-iter-scaling\u002F",1782449787854]