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"protocol": "Frozen P=100 geometric shortlist -> top-10 RAG ranking (HQ10 soft branch diversity lambda_D=0.1 where applicable).",
"datasets": [
"SciFact",
"TREC-COVID",
"Quora",
"MS MARCO / DL19",
"HotpotQA",
"NQ"
],
"OURS_CPU_100_to_10": {
"nDCG@10": [
0.5685,
0.599,
0.7366,
0.34,
0.467,
0.2579
],
"MRR@10": [
0.5452,
0.8252,
0.7287,
0.5189,
0.6255,
0.2262
],
"P@10": [
0.0737,
0.652,
0.1124,
0.2674,
0.0964,
0.0462
],
"R@10": [
0.6663,
0.0163,
0.8407,
0.0916,
0.482,
0.3983
],
"Hit@10": [
0.6833,
1.0,
0.8904,
0.7209,
0.7507,
0.4342
],
"median_ms": [
0.947,
1.051,
120.301,
65.195,
28.944,
33.686
],
"p95_ms": [
1.031,
1.193,
175.494,
142.647,
42.568,
44.161
]
},
"notes": [
"The six-dataset benchmark row is the frozen 100->10 operating point.",
"The postbenchmark final_two_optimizations branch is preserved separately because it changes some NQ/Hotpot values and is not the source of the frozen table.",
"MS MARCO / DL19 is the 43-query TREC-DL19 run over the full 8.84M-passage corpus."
]
}
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