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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{
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"arm": "ON",
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"bucket_tokens": 227714,
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"capture_sizes": [
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],
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"clean_completed": 1190,
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"clean_completed_throughput_rps": 4.958333333333333,
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"clean_failed": 0,
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"clean_offered_rps": 4.920833333333333,
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"drain_seconds": 0.7876331160077825,
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"e2e_latency_mean_s": 1.612280680370388,
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"e2e_latency_p95_s": 3.9930475192406423,
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"gpu_hours": 0.15887338949574364,
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"graph_hit_steps": 14253,
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"graph_miss_rate": 0.0389724226282786,
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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": 17579,
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"model_step_duration_ms": 478655.543996,
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"model_steps": 14831,
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"padding_fraction": 0.035658764941988635,
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"padding_tokens": 8120,
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"schema": 1,
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"token_efficiency_per_ms": 4.562222306607711,
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"useful_tokens": 2183733
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}
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