paper v2.34.3: fix Figure 4 cross-arch verdict matrix (data + layout)

User flagged Figure 4 issues. Found three problems:

1. **Row 4 (no-terminal-LN ResMLP) (d) frozen** was encoded as 0 (passes)
   but the actual data is no-outln DFA acc 0.327 ± 0.012 (3-seed) vs
   frozen baseline 0.349 ± 0.002 → margin -2.2 pp, beyond the 2 pp
   threshold → (d) FIRES. Updated to 1 (WB).

2. **Row 5 (CNN BN) cells (c) and (d)** were encoded as 0 (passes) but
   the CNN audit (results/protocol_audit/audit_cnn_3seed.json) only
   measured (a) and (b); there is no CNN frozen baseline and no CNN
   stability run. Showing them as ✓ was misleading. Added a third color
   (gray, "—") for "not measured" and marked CNN (c)+(d) accordingly.

3. **Layout** had massive empty vertical space below the panels with
   the key-finding text floating far below. Compressed:
   - figsize (11, 4.2) → (11, 3.2) [tighter aspect ratio]
   - Key-finding text moved from axes-coordinates y=-1.55 (way below
     plot) to figure-coordinates y=-0.05 (directly under panels)
   - BP panel title clarified: "BP-trained: protocol passes" →
     "BP-trained: protocol passes everywhere"

Also marked ViT-Mini (c) and no-LN ResMLP (c) as "not measured" since
neither has a saved cross_batch_stability value (the audit_cnn,
audit_d512, snapshot_vit_v1, and snapshot_no_outln_v1 files don't
include this diagnostic).

New verdict matrix:
                    (a) (b) (c) (d)
  ResMLP-d256 LN    WB  WB  ✓   WB
  ResMLP-d512 LN    WB  WB  ✓   WB
  ViT-Mini          WB  WB  —   WB
  ResMLP-d256 no-LN WB  ✓   —   WB   ← row 4 (d) was wrong
  CNN BN            WB  ✓   —   —    ← row 5 (c)+(d) were misleading

Key finding "(b) only fires on terminal-LN architectures" is unchanged
and now visually clearer (rows 1-3 have WB in (b), rows 4-5 have ✓).

Page impact: total page count 19 → 18 (the more compact figure
reclaimed an entire page). §1-§7 main content still fits on 9 pages.

Updated docstring with full data sources for each row.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

3 files changed, 46 insertions, 23 deletions

diff --git a/paper/figures/fig5_cross_arch_summary.pdf b/paper/figures/fig5_cross_arch_summary.pdf
index efab2b8..ec5052d 100644
--- a/paper/figures/fig5_cross_arch_summary.pdf
+++ b/paper/figures/fig5_cross_arch_summary.pdf
diff --git a/paper/figures/render_fig5_cross_arch.py b/paper/figures/render_fig5_cross_arch.py
index 9d52e09..470313d 100644
--- a/paper/figures/render_fig5_cross_arch.py
+++ b/paper/figures/render_fig5_cross_arch.py
@@ -1,4 +1,20 @@
-"""Render Figure 5: cross-architecture verdict matrix."""
+"""Render Figure 5: cross-architecture verdict matrix.
+
+Verdict encoding:
+  0 = passes (✓, blue)
+  1 = walked back (WB, red)
+  2 = not measured for this architecture (—, gray)
+
+Sources:
+  ResMLP d=256 row: results/protocol_audit/audit_table_s42_s123_s456.json
+                    + temporal_evolution_s{42,123,456}.json (no-LN row)
+  ResMLP d=512 row: results/protocol_audit/audit_d512_3seed.json
+  ViT-Mini row: snapshot_vit_v1 + ViT walk-back memory (acc 0.237 vs frozen ~0.255-0.261)
+  no-terminal-LN ResMLP row: results/snapshot_no_outln_v1 (3-seed acc 0.327 ± 0.012 vs
+                              proxy frozen baseline 0.349 ± 0.002 → fails (d) by 2.2 pp)
+  CNN BatchNorm row: results/protocol_audit/audit_cnn_3seed.json
+                     (no CNN frozen baseline → (c)+(d) not measured)
+"""
 import os
 import matplotlib
 matplotlib.use("Agg")
@@ -7,45 +23,52 @@ import numpy as np
 
 REPO_ROOT = "/home/yurenh2/fa"
 
-# Verdict matrix: arch x diagnostic
-# 0 = ok (BP), 1 = ok-non-LN-arch, 2 = walk-back
-# Columns: (a) per-block growth, (b) ||g_L|| floor, (c) drift stability, (d) frozen baseline
 # Rows: ResMLP-d256, ResMLP-d512, ViT-Mini, no-terminal-LN ResMLP-d256, CNN (BN, no LN)
-arches = ["ResMLP $d{=}256$\n(terminal LN)", "ResMLP $d{=}512$\n(terminal LN)", "ViT-Mini\n(cls + LN)", "ResMLP $d{=}256$\n(no terminal LN)", "CNN BatchNorm\n(no terminal LN)"]
+arches = ["ResMLP $d{=}256$\n(terminal LN)",
+          "ResMLP $d{=}512$\n(terminal LN)",
+          "ViT-Mini\n(cls + LN)",
+          "ResMLP $d{=}256$\n(no terminal LN)",
+          "CNN BatchNorm\n(no terminal LN)"]
 diags = ["(a) scale", "(b) ${\\|g\\|}$ floor", "(c) drift", "(d) frozen"]
 
-# DFA verdicts on each
-# 1 = fires (walked back); 0 = passes
+# DFA verdicts on each. 0 = passes, 1 = fires (walked back), 2 = not measured.
 dfa = np.array([
-    [1, 1, 0, 1],   # ResMLP d256: (a) fires, (b) fires, (c) noise sub-mode, (d) fires
-    [1, 1, 0, 1],   # ResMLP d512: same pattern
-    [1, 1, 0, 1],   # ViT-Mini: same pattern
-    [1, 0, 0, 0],   # ResMLP no-LN: only (a) fires; (b) NEVER
-    [1, 0, 0, 0],   # CNN BN: only (a) fires; (b) NEVER (the killer (b)-is-LN-specific finding)
+    [1, 1, 0, 1],   # ResMLP d=256, terminal LN: (a)+(b)+(d) fire, (c) passes (3-seed mean stab 0.16)
+    [1, 1, 0, 1],   # ResMLP d=512, terminal LN: same pattern, (c) 3-seed mean 0.16 passes
+    [1, 1, 2, 1],   # ViT-Mini: (a)+(b)+(d) fire (acc 0.237 vs frozen ~0.26), (c) not measured
+    [1, 0, 2, 1],   # no-LN ResMLP: (a) fires, (b) NEVER, (c) not measured, (d) FIRES (acc 0.327 vs frozen 0.349)
+    [1, 0, 2, 2],   # CNN BN: (a) fires, (b) NEVER, (c)+(d) not measured (no CNN frozen baseline)
 ])
 
 bp = np.zeros_like(dfa)  # BP: passes everywhere
 
-fig, axes = plt.subplots(1, 2, figsize=(11, 4.2))
+fig, axes = plt.subplots(1, 2, figsize=(11, 3.2))
+
+# 3-color map: blue (pass), red (fire), gray (not measured)
+cmap = matplotlib.colors.ListedColormap(["#4682b4", "#cc4444", "#888888"])
+norm = matplotlib.colors.BoundaryNorm([-0.5, 0.5, 1.5, 2.5], cmap.N)
 
-for ax, mat, title in [(axes[0], bp, "BP-trained: protocol passes"),
+for ax, mat, title in [(axes[0], bp, "BP-trained: protocol passes everywhere"),
                        (axes[1], dfa, "DFA-trained: protocol verdict by architecture")]:
-    cmap = matplotlib.colors.ListedColormap(["#4682b4", "#cc4444"])
-    im = ax.imshow(mat, cmap=cmap, aspect="auto", vmin=0, vmax=1)
+    ax.imshow(mat, cmap=cmap, norm=norm, aspect="auto")
     for i in range(mat.shape[0]):
         for j in range(mat.shape[1]):
-            txt = "WB" if mat[i, j] == 1 else "$\\checkmark$"
-            ax.text(j, i, txt, ha="center", va="center", color="white", fontsize=11, fontweight="bold")
+            v = mat[i, j]
+            txt = {0: r"$\checkmark$", 1: "WB", 2: "—"}[v]
+            ax.text(j, i, txt, ha="center", va="center",
+                    color="white", fontsize=11, fontweight="bold")
     ax.set_xticks(range(len(diags)))
     ax.set_xticklabels(diags, fontsize=9)
     ax.set_yticks(range(len(arches)))
-    ax.set_yticklabels(arches, fontsize=9)
+    ax.set_yticklabels(arches, fontsize=8)
     ax.set_title(title, fontsize=10)
 
-# Highlight the key finding — place well below the multiline x/y tick labels to avoid overlap
-axes[1].text(0.5, -1.55, "Key finding: diagnostic (b) BP-grad-floor fires only on terminal-LN architectures.\n"
-             "Across the 5 architecture cases tested, (b) is restricted to the with-terminal-LN family.",
-             ha="center", fontsize=9, style="italic", transform=axes[1].transAxes)
+# Key finding caption directly below the figure (not floating far below).
+fig.text(0.5, -0.05,
+         "Key finding: diagnostic (b) BP-grad-floor fires only on terminal-LN architectures. "
+         "Of the 5 architectures audited, (b) is restricted to the with-terminal-LN family. "
+         "Cells marked — are not applicable for that architecture (no matched frozen-blocks baseline / no stability run).",
+         ha="center", fontsize=8, style="italic", wrap=True)
 
 plt.tight_layout()
 out = os.path.join(REPO_ROOT, "paper/figures/fig5_cross_arch_summary.pdf")
diff --git a/paper/main.pdf b/paper/main.pdf
index 2933576..f6dac9a 100644
--- a/paper/main.pdf
+++ b/paper/main.pdf