[{"data":1,"prerenderedAt":217},["ShallowReactive",2],{"run:lego-cap100000-30k":3,"run-findings:lego-cap100000-30k":189},{"run":4,"config":14,"metrics":45,"curve":51,"assets":183},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":13},"lego-cap100000-30k","E.6 capacity scaling: lego sh3 30k capacity=100000 (モバイル制約下の最適 capacity 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","30,000",{"key":22,"value":23},"seed","42",{"key":25,"value":26},"capacity","100,000 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},24.875911712646484,"21m 22s",false,81325,"2.387824e-2",{"loss":52,"splats":177},{"iters":53,"values":115},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],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,[116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176],0.3453389108181,0.11787909269332886,0.09774470329284668,0.08164170384407043,0.05782672017812729,0.046789783984422684,0.04201532155275345,0.03844137862324715,0.036745648831129074,0.03301436826586723,0.032389916479587555,0.03120093047618866,0.029737263917922974,0.02991376630961895,0.028971891850233078,0.028794240206480026,0.02958773821592331,0.027822811156511307,0.027933571487665176,0.027681779116392136,0.026684971526265144,0.026545071974396706,0.027775894850492477,0.025665536522865295,0.02544179931282997,0.025355905294418335,0.026522621512413025,0.027492284774780273,0.026911286637187004,0.025791501626372337,0.025592923164367676,0.024739472195506096,0.02524353563785553,0.025446096435189247,0.02554250694811344,0.025465011596679688,0.024337846785783768,0.025561939924955368,0.027105296030640602,0.027408208698034286,0.024732939898967743,0.024414431303739548,0.025307096540927887,0.023785550147294998,0.02432706579566002,0.025126682594418526,0.024806691333651543,0.026547135785222054,0.02482396736741066,0.02463100478053093,0.02460046112537384,0.02374507114291191,0.024722781032323837,0.025792159140110016,0.024607833474874496,0.024942729622125626,0.02386200614273548,0.024414317682385445,0.024376308545470238,0.0241124015301466,0.02387823536992073,{"iters":178,"values":179},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],[180,181,182,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49],5207,5494,21151,{"has_renders":184,"has_splat":48,"render_views":185},true,[186,187,188],"00","01","02",[190],{"id":191,"title":192,"date":8,"status":193,"polarity":194,"category":195,"axes":196,"tags":198,"task_code":205,"related_runs":206,"delta_psnr":211,"delta_wallclock":212,"rank":213,"verdict":214,"impact_summary":215,"detail_path":216},"e-6-capacity-scaling","E.6 capacity scaling — 50k〜1M で PSNR variance band 内、本質的 splat 数 ≈ 85k で plateau","stable","positive","experiment",[197],3,[199,200,201,202,203,204],"phase-5","e-6","capacity-scaling","mobile","plateau","regularization","E.6",[207,5,208,209,210],"lego-cap50000-30k","lego-cap200000-30k","lego-cap500000-30k","lego-sh3-30k","±0.44 dB (variance band 内、有意差なし)","-3% 〜 -4% (capacity 小で僅かに速い)","high","accepted","lego では capacity 50k から 1M まで PSNR は 24.605 〜 25.275 dB で variance σ ±0.32 dB band 内、capacity effect は実質ゼロ。final splats は 50k 飽和 → 81k → 85k → 84k と「本質的 ~85k で plateau」を実証。モバイル制約下で capacity 50-100k を choose しても 1M と同等品質、卒論モバイル章の重要数値。capacity 大きいほど refine が無駄 split で variance noise を増やす副作用も観測。","\u002Ffindings\u002Fe-6-capacity-scaling\u002F",1782449787849]