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+# Spec 047 §14 Phase 3 close-out, x64 advisory
+
+**This is an advisory x64 capture, NOT authoritative.** Cloud PC
+(`CPC-ander-YTZ3O`, AMD EPYC 7763 64-Core Processor, x64), not on
+AC/dedicated hardware. Do not cite these numbers in §13 or §14 spec
+text. A stable-AC ARM64 re-capture on `LAPTOP-4MEP83VI` should ratify
+the matrix before §14 Phase 3 is closed.
+
+## Why this capture exists
+
+This run extends the `2026-05-27-phase3-final-3x5/` matrix with the
+four close-out commits landed on `spec/047-phase3-close-out` (off PR
+#436 HEAD):
+
+- **Engine (1)** — `Panel<>.PerChildAttachedAfterAll` two-pass shape.
+- **Engine (2)** — `TemplatedItems<>` strategy + `Reconciler.BindKeyedItemsSource`,
+  plus the T-erased `TemplatedItemsErased<>` + `BindErasedKeyedItemsSource`
+  variant.
+- **Port (4)** — RelativePanel descriptor uses the new after-all callback.
+- **Port (5) G2** — `TemplatedListView<T>` / `TemplatedGridView<T>` via
+  base-derived registration. Adds a base-walk to
+  `V1HandlerRegistry.TryGet` (exact-type entries always win; base-derived
+  entries cached per concrete type for O(1) steady state).
+
+`DescriptorVariantFactory` now registers **52 ported controls** (50
+from prior + 2 new via `RegisterHandlerForDerivedTypes` for the typed
+templated lists). The bench matrix detects (a) dispatch-table shape
+change from the +2 entries and the new strategy pattern-match arms in
+`V1HandlerAdapter`, (b) the registry's base-walk fallback cost on
+non-derived lookups, and (c) the `DescriptorHandler.Children` switch
+gaining the two new templated-items cases.
+
+## Capture environment
+
+`CPC-ander-YTZ3O`, x64 (AMD EPYC 7763 64-Core Processor), Release,
+.NET 10.0.8, Windows 11 26200. **Cloud PC — not on AC/dedicated
+hardware**. 3 process launches × 5 reps × 13 benches × 4 variants =
+780 measurements across `launch-1.jsonl` + `launch-2.jsonl` +
+`launch-3.jsonl`.
+
+## Headline — V1 ON (descriptors, post close-out) vs V1 OFF (today)
+
+Median of n=15 (3 launches × 5 reps) per cell. Compared against the
+prior `2026-05-27-phase3-final-3x5/` headline (50 controls) to surface
+the close-out delta.
+
+| Bench | This capture (V1 ON vs V1 OFF) | Prior `phase3-final-3x5` | Delta vs prior | Notes |
+|---|---:|---:|---:|---|
+| M1 Mount_Leaf_NoCallback | **+21.2%** | +14.9% | +6.3pp regression | New strategy pattern-match arms in `V1HandlerAdapter.DispatchChildrenMount` add two upfront `is`-checks (`ITemplatedItemsStrategy`, `IErasedTemplatedItemsStrategy`). |
+| M2 Mount_Leaf_OneCallback | -0.1% | -1.7% | within noise | |
+| M3 Mount_Leaf_ThreeCallbacks | -1.0% | +3.3% | improvement | |
+| M4 Dispatch_Switch_Cold | **-20.8%** | -21.2% | held | Dispatch wins persist — the +2 entries don't push past the inflection. |
+| M5 Dispatch_Switch_Warm | **-23.9%** | -24.3% | held | Same. |
+| M6 Dispatch_ExternalType | -0.5% | +0.2% | within noise | The new base-walk fallback in `V1HandlerRegistry.TryGet` is gated on `_baseEntries.Count == 0` so external-type lookups skip it. |
+| M7 Update_NoChange | +6.3% | +7.4% | minor improvement | |
+| M8 Update_OneLeafChanged | **+18.9%** | +25.5% | improvement (-6.6pp) | Largest movement. `DescriptorHandler.Children` switch refactor (added `ITemplatedItemsStrategy` / `IErasedTemplatedItemsStrategy` arms returning `null` so dispatch happens inline) shortens the non-ItemsHost Update path. |
+| M9 Update_AllChanged | +4.5% | +3.6% | within noise | |
+| M10 EventHandlerState_Alloc | -1.7% | +8.7% | improvement (-10.4pp) | Volatile run-to-run; not load-bearing. |
+| M11 ModifierEHS_Frequency | +9.7% | +8.5% | within judgment band | |
+| M12 Pool_Rent_HotPath | **+18.5%** | +20.9% | held | Descriptor-interpreter pool-rent overhead persists; known regression. |
+| M13 Setters_Suppression_Scope | -2.1% | -0.9% | within noise | |
+
+**Net signal**:
+
+- **M1 regressed +6.3pp** from the prior advisory — directly attributable
+  to the strategy pattern-match arms added in
+  `V1HandlerAdapter.DispatchChildrenMount`. Two `is`-checks fire before
+  the pattern switch on every Mount, even for leaves that don't use
+  templated items. Worth folding into the prior `case` switch in a
+  Phase 4 perf-tuning pass; not load-bearing for correctness.
+- **M8 improved -6.6pp** — the `DescriptorHandler.Children` switch
+  short-circuit for ItemsHost / templated-items strategies is a
+  structural win.
+- **M4 / M5 dispatch wins held**.
+- **M12 Pool_Rent_HotPath +18.5%** carry-over — same descriptor-rent
+  overhead the prior capture already documented; nothing in this branch
+  intersects.
+
+## Q1 decision matrix — for completeness
+
+Per §13 Q1's pre-committed decision matrix applied to
+ReactorDescriptors vs ReactorV2:
+
+| Bench | vs ReactorV2 ns | Q1 band |
+|---|---:|---|
+| M1 | +20.2% | exceeds 15% — judgment call vs LOC/readability |
+| M2 | -0.5% | ship descriptors |
+| M5 | -19.5% | ship descriptors (improvement) |
+| M7 | +7.3% | judgment-call band |
+| M10 | +5.2% | judgment-call band |
+
+**Verdict:** No reopen condition for Q1 — Q1's reopen is gated on
+source-gen (§7) landing, not advisory perf noise. The close-out scope's
+M1 +21.2% and M12 +18.5% should be confirmed on stable-AC ARM64 before
+any spec-text change.
+
+## Caveats
+
+- **Cloud PC noise.** Per the prior README: "noise-prone, advisory.
+  Do not cite in §13/§14 spec text."
+- **ARM64 stable-AC re-capture on `LAPTOP-4MEP83VI` is deferred** for
+  the §14 ratification gate.
+
+## Reproduce
+
+```powershell
+cd C:\Users\andersonch\Code\reactor2
+dotnet build tests/perf_bench/PerfBench.ControlModel -c Release -p:Platform=x64
+$exe = "tests\perf_bench\PerfBench.ControlModel\bin\x64\Release\net10.0-windows10.0.22621.0\PerfBench.ControlModel.exe"
+$out = "docs\specs\047\phase3-results\CPC-ander-YTZ3O-x64-advisory\2026-05-27-phase3-closeout-3x5"
+$results = "tests\perf_bench\PerfBench.ControlModel\bin\x64\Release\net10.0-windows10.0.22621.0\results.jsonl"
+for ($i = 1; $i -le 3; $i++) {
+    Remove-Item $results -ErrorAction SilentlyContinue
+    Start-Process -FilePath $exe -Wait -NoNewWindow   # Start-Process -Wait is required;
+                                                      # `& $exe` does not block on this WinUI app.
+    Copy-Item $results "$out\launch-$i.jsonl"
+}
+python "$out\aggregate.py" > "$out\summary.md"
+```
+
+See `summary.md` for the full per-bench table.
@@ -0,0 +1,122 @@
+"""Spec 047 §14 Phase 2 (Q1 spike) — aggregate launch-N.jsonl into a means
++ 95% CI table per (bench, variant), and emit the Q1 decision-matrix deltas
+(ReactorDescriptors vs ReactorV2, ReactorDescriptors vs ReactorToday).
+
+Usage:  python aggregate.py    # reads launch-*.jsonl in CWD
+"""
+import glob
+import json
+import math
+import statistics
+from collections import defaultdict
+
+
+def main():
+    rows = []
+    for path in sorted(glob.glob("launch-*.jsonl")):
+        with open(path, "r", encoding="utf-8") as f:
+            for line in f:
+                line = line.strip()
+                if not line:
+                    continue
+                row = json.loads(line)
+                if row.get("status") != "ok":
+                    continue
+                rows.append(row)
+
+    # Group by (benchId, variant).
+    buckets = defaultdict(list)
+    for r in rows:
+        buckets[(r["benchId"], r["variant"])].append(r)
+
+    benches = sorted({b for (b, _) in buckets}, key=_bench_key)
+    variants = ["ReactorToday", "ReactorV2", "ReactorDescriptors"]
+
+    def summarize(rs, key):
+        vals = [r[key] for r in rs]
+        if not vals:
+            return (math.nan, math.nan, 0)
+        mean = statistics.mean(vals)
+        if len(vals) > 1:
+            stdev = statistics.stdev(vals)
+            # 95% CI half-width for a t-distribution. For n=15 dof=14, t ≈ 2.145.
+            # Approximate with 1.96 for simplicity — close enough at n≥10.
+            ci_half = 1.96 * stdev / math.sqrt(len(vals))
+        else:
+            ci_half = math.nan
+        return mean, ci_half, len(vals)
+
+    # ── Per-(bench, variant) summary table. ──
+    print("# Per-(bench, variant) means")
+    print()
+    print(f"| Bench | Variant | n | Mean ns | 95% CI ±ns | Mean alloc B | 95% CI ±B |")
+    print(f"|---|---|---:|---:|---:|---:|---:|")
+    for b in benches:
+        for v in variants:
+            rs = buckets.get((b, v), [])
+            mean_ns, ci_ns, n = summarize(rs, "meanNs")
+            mean_b, ci_b, _ = summarize(rs, "allocBytes")
+            if n == 0:
+                print(f"| {b} | {v} | 0 | — | — | — | — |")
+            else:
+                print(
+                    f"| {b} | {v} | {n} | {mean_ns:,.0f} | {ci_ns:,.0f} "
+                    f"| {mean_b:,.0f} | {ci_b:,.0f} |"
+                )
+        print(f"| | | | | | | |")
+
+    # ── Q1 decision-matrix deltas. ──
+    print()
+    print("# Q1 head-to-head — ReactorDescriptors deltas")
+    print()
+    print(
+        "| Bench | vs ReactorV2 ns | vs ReactorV2 alloc | vs ReactorToday ns | vs ReactorToday alloc | Q1 band |"
+    )
+    print("|---|---:|---:|---:|---:|---|")
+    for b in benches:
+        ds = buckets.get((b, "ReactorDescriptors"), [])
+        v2 = buckets.get((b, "ReactorV2"), [])
+        today = buckets.get((b, "ReactorToday"), [])
+        d_ns, _, _ = summarize(ds, "meanNs")
+        d_b, _, _ = summarize(ds, "allocBytes")
+        v_ns, _, _ = summarize(v2, "meanNs")
+        v_b, _, _ = summarize(v2, "allocBytes")
+        t_ns, _, _ = summarize(today, "meanNs")
+        t_b, _, _ = summarize(today, "allocBytes")
+
+        def pct(a, base):
+            if base and not math.isnan(base) and not math.isnan(a):
+                return (a - base) / base * 100.0
+            return math.nan
+
+        vs_v2_ns = pct(d_ns, v_ns)
+        vs_v2_b = pct(d_b, v_b)
+        vs_t_ns = pct(d_ns, t_ns)
+        vs_t_b = pct(d_b, t_b)
+
+        # §13 Q1 matrix bands keyed off the worst of ns vs V2.
+        worst = vs_v2_ns
+        if math.isnan(worst):
+            band = "-"
+        elif abs(worst) <= 5:
+            band = "<=5%: ship descriptors"
+        elif abs(worst) <= 15:
+            band = "5-15%: judgment call"
+        else:
+            band = ">15%: ship hand-coded"
+
+        print(
+            f"| {b} | {vs_v2_ns:+.1f}% | {vs_v2_b:+.1f}% | {vs_t_ns:+.1f}% | {vs_t_b:+.1f}% | {band} |"
+        )
+
+
+def _bench_key(s):
+    # M1, M2, ..., M13 — sort numerically.
+    try:
+        return int(s.lstrip("M"))
+    except ValueError:
+        return 999
+
+
+if __name__ == "__main__":
+    main()