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/tp1_mns64/warmup/result.json

@@ -0,0 +1,74 @@
+{
+  "anchor": 0.2421875,
+  "cell": "tp1_mns64",
+  "early_stop_reason": "",
+  "early_stopped": false,
+  "exact_output_count": 16,
+  "feasible": true,
+  "interval": {
+    "elapsed_s": 8.077432828,
+    "end_mono_ns": 209418942262065,
+    "end_wall_ns": 1783877846068689190,
+    "start_mono_ns": 209410864829237,
+    "start_wall_ns": 1783877837991256103
+  },
+  "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": 1.0,
+  "schema": 1,
+  "selection": {
+    "arrival_order_sha256": "1bfb7b673b63b8aaea00c075792180307e1a32e354711a8d3c4978f9a013bc02",
+    "arrival_s": {
+      "distinct_n": 16,
+      "finite_n": 16,
+      "max": 6.901699999999983,
+      "min": 0.0,
+      "missing_n": 0,
+      "n": 16
+    },
+    "count": 16,
+    "long_gt4096": 8,
+    "offered_req_s": 0.26666666666666666,
+    "offered_req_s_per_gpu": 0.26666666666666666,
+    "raw_input_tokens": {
+      "distinct_n": 16,
+      "finite_n": 16,
+      "max": 7270.0,
+      "min": 72.0,
+      "missing_n": 0,
+      "n": 16
+    },
+    "raw_length_order_sha256": "e858719eb07cdeb674aa17d9299d05dec852db11c263bc9391c53cd0f177db1c",
+    "request_id_order_sha256": "0fa4b7f4dc274280eb173a0ee0974643ab283b887418ce8f10e958e7e8d90161"
+  },
+  "slo_pass_count": 16,
+  "study_sha256": "9474f0d0b53579f1db852ca68abfb0b96ba43ae4e17738118bf8e3209eb09ece",
+  "tp": 1,
+  "tpot_ms": {
+    "distinct_n": 16,
+    "finite_n": 16,
+    "max": 28.741828976272362,
+    "min": 5.349175684845192,
+    "missing_n": 0,
+    "n": 16
+  },
+  "ttft_ms": {
+    "distinct_n": 16,
+    "finite_n": 16,
+    "max": 682.0790720230434,
+    "min": 56.28180899657309,
+    "missing_n": 0,
+    "n": 16
+  }
+}