속성:Evidence citation

원본을 다시 찾을 수 있는 인용입니다.

사용828

필터<p><a rel="nofollow" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Property_page/Filter">검색 필터</a>를 사용하면 <code>~</code> 또는 <code>!</code> 같은 <a rel="nofollow" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Query_expressions">쿼리 표현식</a>을 포함할 수 있습니다. 선택한 <a rel="nofollow" class="external text" href="https://www.semantic-mediawiki.org/wiki/Query_engine">쿼리 엔진</a>은 대소문자를 구분하지 않는 일치 또는 다음과 같은 기타 짧은 표현식도 지원할 수 있습니다:</p><ul><li><code>in:</code> 결과는 해당 용어를 포함해야 합니다. 예: '<code>in:Foo</code>'</li></ul><ul><li><code>not:</code> 결과는 해당 용어를 포함하지 않아야 합니다. 예: '<code>not:Bar</code>'</li></ul>

이 속성을 사용하는 문서 20개를 보여줍니다.

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research autopilot 20260720t030001z gpu +

boundary_ordering_cuda.json artifact from L40S GPU3 run +

research autopilot 20260720t030001z gpu +

Exploratory MLIR occupancy artifact; rectangular/tiled target not measured +

research autopilot 20260720t030001z gpu +

Scheduled GPU3 artifacts for cycle 20260720T030001Z (local paths listed in evidence field) +

research autopilot 20260720t030001z +

GitHub mrcha033/openevolve-moe-prototype commit 11a77d13a64a2b8e5f7955f676071034a4d326a0 +

research autopilot 20260720t030001z +

GitHub mrcha033/spectral-operator-compiler commit a2a50fb1f14b3cafb34c1d2ac37ffbb8f5eb63f0 +

research autopilot 20260720t030001z +

Achieved occupancy (sm__warps_active) across all four measured configurations: 14.34/19.87/16.21/15.57%, spread 5.53 pp, correctly ordering the faster lowering at 0/2 shapes +

research autopilot 20260720t030001z +

GitHub mrcha033/mlir-fft-compiler commit 79af53d2e524fe940e847f277ca2e347555cfd96 +

research autopilot 20260720t030001z +

GitHub mrcha033/multi-lora-fusion commit 3dd704c833ccf69c1dfc5ba0c1fa2f733d32e94e +

research autopilot 20260720t030001z-gpu +

GitHub mrcha033/multi-lora-fusion commit 3dd704c833ccf69c1dfc5ba0c1fa2f733d32e94e +

research autopilot 20260720t030001z-gpu +

GitHub mrcha033/mlir-fft-compiler commit 79af53d2e524fe940e847f277ca2e347555cfd96 +

research autopilot 20260720t030001z-gpu +

.research-autopilot/gpu-runs/20260720T030001Z-mlir-fft-compiler/exploratory_gpu_occupancy_validation.json +

research autopilot 20260720t090001z +

GitHub mrcha033/azure_inference_queueing commit ca82d58c647f90efe955a73956ead589de8a4c0b +

research autopilot 20260720t090001z +

GitHub mrcha033/alpha-factory commit 2da70a23ca89185cdbd3f40794c29c6dbc8e03c9 +

research autopilot 20260720t090001z +

GitHub mrcha033/gaussian-3mul-compiler commit 8d5eaa96d8a91ecc74f594d4cb4f617b98aa003f +

research autopilot 20260720t090001z +

2x2 factorial experiments/diversifier_track_ablation.py on run divsweep_pool: (off,0.0)/(off,0.5)/(on,0.0) all 1 strategy / 1 lineage, validate Sharpe 1.3085, maxDD -4.07%; (on,0.5) 2 strategies / 2 lineages, Sharpe 1.6279, maxDD -2.55% +

research autopilot 20260720t090001z +

GitHub mrcha033/complex-nn-signal commit f87c34cf35bc148c06a74ce5d83f82762d4731bd +

research autopilot 20260721t030001z +

experiments/results/spill_resolving_power_v1.json: one reload-law-identifying family (rect-k32-j128), counter_divergence_ratio=4.0, timing_divergence_pp=39.33, primary_falsifiable_if_challenger_true=true; other three families divergence 0pp +

research autopilot 20260721t030001z +

GitHub mrcha033/mlir-fft-compiler commit a0a464ea5a5f4f353574da7cd632cb6fcf5241fa +

research autopilot 20260721t090001z +

GitHub mrcha033/alpha-factory commit f8e17cd2a2c1705365044fb3c5866fffc3d03030 +

research autopilot 20260721t090001z +

docs/evidence/divsweep_pool_v3_leaderboard.csv (v3 pool, 3 gate-passers unchanged from v2) +