Add OpProf campaign: protocols, results, patches, run evidence (P0-P6)
Workload-conditioned operator profiling on patched vLLM 0.24.0 + Qwen3-30B-A3B/H20. H1b PASS (irregular patterns carry +23-45pp R64 raggedness, 8-45% token-efficiency loss vs rectangular controls); mechanism decomposition kills the padding narrative and finds the arrival-uniformization artifact (-12.9%); cross-version churn surface shows TP2/MNS64 -29.4% across vLLM 0.20->0.24 while the argmax held. Raw Layer-1 JSONL streams (507 MB) stay on disk, git-ignored; footer sidecars and metrics are tracked. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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runs/opprof-phase3/phase4/capture-p09/off/summary.json
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runs/opprof-phase3/phase4/capture-p09/off/summary.json
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{
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"arm": "OFF",
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"bucket_tokens": 237911,
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"capture_sizes": "default",
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"clean_completed": 1184,
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"clean_completed_throughput_rps": 4.933333333333334,
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"clean_failed": 0,
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"clean_offered_rps": 4.920833333333333,
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"drain_seconds": 0.7853007119847462,
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"e2e_latency_mean_s": 1.681152764688729,
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"e2e_latency_p95_s": 3.8763178953449815,
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"gpu_hours": 0.13751606033907995,
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"graph_hit_steps": 12252,
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"graph_miss_rate": 0.045199501246882795,
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"layer1_invariants": {
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"cudagraph_identity": true,
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"footer_balanced": true,
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"footer_written_matches": true,
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"schema_1": true,
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"sidecar_agrees": true,
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"sidecar_final": true,
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"steps_unique_contiguous": true,
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"token_composition": true,
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"zero_drops": true
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},
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"layer1_records": 16491,
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"model_step_duration_ms": 479367.749483,
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"model_steps": 12832,
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"padding_fraction": 0.08545632610514016,
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"padding_tokens": 20331,
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"schema": 1,
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"token_efficiency_per_ms": 4.5540506267984115,
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"useful_tokens": 2183065
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}
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