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/cells/tp1_mns64/anchor-0.24609375/result.json

@@ -0,0 +1,74 @@
+{
+  "anchor": 0.24609375,
+  "cell": "tp1_mns64",
+  "early_stop_reason": "",
+  "early_stopped": false,
+  "exact_output_count": 141,
+  "feasible": true,
+  "interval": {
+    "elapsed_s": 61.283849775,
+    "end_mono_ns": 199668751241940,
+    "end_wall_ns": 1783868095877669237,
+    "start_mono_ns": 199607467392165,
+    "start_wall_ns": 1783868034593819130
+  },
+  "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": "anchor",
+  "mns": 64,
+  "observed_count": 141,
+  "pass_rate": 1.0,
+  "schema": 1,
+  "selection": {
+    "arrival_order_sha256": "7c8f4ce3fc2db40d6329e8ead59378f564608ad6df09bc95854baef2dd0703d4",
+    "arrival_s": {
+      "distinct_n": 141,
+      "finite_n": 141,
+      "max": 59.78950000000005,
+      "min": 0.008300000000008368,
+      "missing_n": 0,
+      "n": 141
+    },
+    "count": 141,
+    "long_gt4096": 50,
+    "offered_req_s": 2.35,
+    "offered_req_s_per_gpu": 2.35,
+    "raw_input_tokens": {
+      "distinct_n": 133,
+      "finite_n": 141,
+      "max": 8149.0,
+      "min": 72.0,
+      "missing_n": 0,
+      "n": 141
+    },
+    "raw_length_order_sha256": "a30d27aea9630ed3623c73237867fbd3a6b7eec9bedec0f1c390610fd16ea5ba",
+    "request_id_order_sha256": "7e48c6bfc00eeadd6011111170c31123fb117c9fa75c18ccc8d8d505fd7fcff3"
+  },
+  "slo_pass_count": 141,
+  "study_sha256": "9474f0d0b53579f1db852ca68abfb0b96ba43ae4e17738118bf8e3209eb09ece",
+  "tp": 1,
+  "tpot_ms": {
+    "distinct_n": 141,
+    "finite_n": 141,
+    "max": 48.397922928960206,
+    "min": 4.49719877962177,
+    "missing_n": 0,
+    "n": 141
+  },
+  "ttft_ms": {
+    "distinct_n": 141,
+    "finite_n": 141,
+    "max": 1777.0718620158732,
+    "min": 49.70270599005744,
+    "missing_n": 0,
+    "n": 141
+  }
+}