diff --git a/results-loop/fig_phase.png b/results-loop/fig_phase.png
index 8415156..0c2ae40 100644
Binary files a/results-loop/fig_phase.png and b/results-loop/fig_phase.png differ
diff --git a/scripts/fig_phase.py b/scripts/fig_phase.py
index aee878f..56bc9c0 100644
--- a/scripts/fig_phase.py
+++ b/scripts/fig_phase.py
@@ -16,11 +16,13 @@ OUT = Path(__file__).resolve().parent.parent / "results-loop"
 #            name                     rho    easy   hard   color
 #            name                  rho(plot x)  easy   hard   color  dy
 PTS = [
-    ("untrained α-merge\n(training-free)", 0.38, 0.885, 0.143, "#8a8f98", 16),
-    ("trained merge\n(anchored B, curriculum)", 0.29, 0.885, 0.464, "#2b6cb0", -60),
+    ("untrained α-merge\n(training-free)\nhard 14%", 0.40, 0.885, 0.143, "#8a8f98", -52),
+    ("trained merge\n(anchored B, curriculum)", 0.26, 0.885, 0.464, "#2b6cb0", -60),
+    ("per-depth merges\n(time-varying, anchored)\nhard 36% (depth-stranded)", 0.325, 0.893, 0.357, "#805ad5", 18),
     ("Parcae rec\n(ρ<1 enforced, learned B)", 0.292, 0.713, 0.429, "#2f855a", -58),
     ("unconstrained rec\n(learned A,B)", 4.5, 0.697, 0.393, "#c53030", 16),
 ]
+# x jittered around true rho=0.3 for the three anchored arms (visibility)
 # untrained merge x offset for visibility (true rho = 0.30)
 
 fig, ax = plt.subplots(figsize=(7.6, 5.2))
@@ -36,15 +38,18 @@ ax.text(3.1, 0.615, "norm projection converts\nexplosion → stationary churn\n"
 for name, rho, easy, hard, c, dy in PTS:
     ax.scatter(rho, easy, s=90 + 900 * hard, color=c, alpha=0.85, zorder=3,
                edgecolor="white", linewidth=1.5)
-    ax.annotate(f"{name}\nhard {hard:.0%}",
-                (rho, easy), textcoords="offset points", xytext=(0, dy),
+    lbl = name if ("stranded" in name or "14%" in name) else f"{name}\nhard {hard:.0%}"
+    dx = 62 if "14%" in name else 0
+    ax.annotate(lbl,
+                (rho, easy), textcoords="offset points", xytext=(dx, dy),
                 ha="center", fontsize=8.5, color=c)
 
 ax.annotate("", xy=(0.278, 0.735), xytext=(0.288, 0.862),
             arrowprops=dict(arrowstyle="->", color="#2f855a", lw=1.3))
-ax.text(0.42, 0.79, "learned B + no curriculum:\nfixed point leaves the\n"
+ax.text(0.46, 0.775, "learned B + no curriculum:\nfixed point leaves the\n"
         "substrate manifold", fontsize=8, color="#2f855a", ha="left")
 
+
 ax.set_xlim(0.2, 12)
 ax.set_ylim(0.58, 1.0)
 ax.set_xlabel("ρ(A) — spectral radius of the trained state map (dynamics dial)")