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>

runs/opprof-phase6/phase6/solo-authoritative/cells/tp4_mns64/warmup/result.json

@@ -0,0 +1,74 @@
+{
+  "anchor": 0.033717411016,
+  "cell": "tp4_mns64",
+  "early_stop_reason": "",
+  "early_stopped": false,
+  "exact_output_count": 16,
+  "feasible": false,
+  "interval": {
+    "elapsed_s": 5.011102035,
+    "end_mono_ns": 205054291566065,
+    "end_wall_ns": 1783873481417993171,
+    "start_mono_ns": 205049280464030,
+    "start_wall_ns": 1783873476406891434
+  },
+  "invariants": {
+    "arrival_nondecreasing": true,
+    "exact_output_or_failed": true,
+    "outcomes_cover_selected": true,
+    "raw_lengths_present": true,
+    "selected_nonempty": true,
+    "warmup_16": true,
+    "warmup_exact_16": true,
+    "warmup_long": true
+  },
+  "kind": "warmup",
+  "mns": 64,
+  "observed_count": 16,
+  "pass_rate": 0.875,
+  "schema": 1,
+  "selection": {
+    "arrival_order_sha256": "90b5197b9bfe4a9d6dfa881ec683b528ba46dd7bdc3a42fe2c91f6aefc6c8308",
+    "arrival_s": {
+      "distinct_n": 16,
+      "finite_n": 16,
+      "max": 1.7244999999999893,
+      "min": 0.0,
+      "missing_n": 0,
+      "n": 16
+    },
+    "count": 16,
+    "long_gt4096": 2,
+    "offered_req_s": 0.26666666666666666,
+    "offered_req_s_per_gpu": 0.06666666666666667,
+    "raw_input_tokens": {
+      "distinct_n": 16,
+      "finite_n": 16,
+      "max": 8150.0,
+      "min": 371.0,
+      "missing_n": 0,
+      "n": 16
+    },
+    "raw_length_order_sha256": "d416a666bb3b2d9a0f1ffe0c51cc4e41249123c02ecb4eadb6fbb049422d7e3d",
+    "request_id_order_sha256": "01b7744965c81da433fd52073d45f36d4b5bc750ca0bbd5ab0db8d8eac316fa3"
+  },
+  "slo_pass_count": 14,
+  "study_sha256": "76e9d642ba9570917cfeeea848ed92f27904e87760eedabd48805b84e82eca26",
+  "tp": 4,
+  "tpot_ms": {
+    "distinct_n": 16,
+    "finite_n": 16,
+    "max": 29.642702669490085,
+    "min": 6.521063590491939,
+    "missing_n": 0,
+    "n": 16
+  },
+  "ttft_ms": {
+    "distinct_n": 16,
+    "finite_n": 16,
+    "max": 2454.303420992801,
+    "min": 128.48975998349488,
+    "missing_n": 0,
+    "n": 16
+  }
+}