diff --git a/experiments/preconditioner_screen_cases_2026-09-18.json b/experiments/preconditioner_screen_cases_2026-09-18.json
new file mode 100644
index 0000000..90183ee
--- /dev/null
+++ b/experiments/preconditioner_screen_cases_2026-09-18.json
@@ -0,0 +1,48 @@
+[
+  {
+    "id": "n1p5_plateau_stellar_ldu",
+    "arguments": [
+      "--index",
+      "1.5",
+      "--angular-momentum",
+      "0",
+      "--no-central",
+      "--max-newton",
+      "0",
+      "--restart",
+      "160",
+      "--max-linear",
+      "200",
+      "--linear-tol",
+      "0.03",
+      "--probe-state",
+      "/Users/tboudreaux/.codex/.chatgpt-projects/g-p-6a6b3f2194ec8191bebcd59075897f1d/diagnostics/numerical_strategies_2026-09-17/models_v2/n1p5_J0_curvature/accepted_state.txt",
+      "--preconditioner-probe",
+      "--preconditioner-variant",
+      "stellar-ldu"
+    ]
+  },
+  {
+    "id": "n1_rotating_stellar_ldu",
+    "arguments": [
+      "--index",
+      "1",
+      "--angular-momentum",
+      "0.1",
+      "--no-central",
+      "--max-newton",
+      "0",
+      "--restart",
+      "160",
+      "--max-linear",
+      "200",
+      "--linear-tol",
+      "0.03",
+      "--probe-state",
+      "/Users/tboudreaux/.codex/.chatgpt-projects/g-p-6a6b3f2194ec8191bebcd59075897f1d/diagnostics/numerical_strategies_2026-09-17/models_v2_rotation/n1_J0p10_positivity_curvature/accepted_state.txt",
+      "--preconditioner-probe",
+      "--preconditioner-variant",
+      "stellar-ldu"
+    ]
+  }
+]
diff --git a/experiments/run_plateau_campaign.py b/experiments/run_plateau_campaign.py
index 0b583ba..32a48f7 100644
--- a/experiments/run_plateau_campaign.py
+++ b/experiments/run_plateau_campaign.py
@@ -50,6 +50,7 @@ def read_rows(path):
 def summarize(folder):
     result = {'newton': read_rows(folder / 'newton.csv'),
               'frozen_linear': read_rows(folder / 'frozen_linear.csv'),
+              'preconditioner_benchmark': read_rows(folder / 'preconditioner_summary.csv'),
               'trials': read_rows(folder / 'trials.csv')}
     meta = folder / 'metadata.txt'
     if meta.exists():