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>

patches/vllm-0.24.0-opprof/0007-Recreate-scheduled-torch-profiler-between-windows.patch

@@ -0,0 +1,27 @@
+From 23450fb21ac255b0cf710f4ee965ee694921975d Mon Sep 17 00:00:00 2001
+From: Gahow Wang <gahow.wang@gmail.com>
+Date: Sun, 12 Jul 2026 13:12:52 +0800
+Subject: [PATCH] Recreate scheduled torch profiler between windows
+
+---
+ vllm/v1/worker/gpu_worker.py | 4 ++++
+ 1 file changed, 4 insertions(+)
+
+diff --git a/vllm/v1/worker/gpu_worker.py b/vllm/v1/worker/gpu_worker.py
+index 5e266a3..0058f96 100644
+--- a/vllm/v1/worker/gpu_worker.py
++++ b/vllm/v1/worker/gpu_worker.py
+@@ -978,6 +978,10 @@ class Worker(WorkerBase):
+                 logger.warning("Profiler was not started, nothing to stop.")
+                 return
+             self.profiler.stop()
++            # A scheduled torch.profiler.profile does not reset its schedule
++            # after stop(). Recreate it for the next /start_profile window.
++            if isinstance(self.profiler, TorchProfilerWrapper):
++                self.profiler = None
+ 
+     def execute_dummy_batch(self) -> None:
+         num_tokens = getattr(self.model_runner, "uniform_decode_query_len", 1)
+-- 
+2.43.0
+