diff --git a/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/gold_report.json b/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/gold_report.json
new file mode 100644
index 0000000..239644d
--- /dev/null
+++ b/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/gold_report.json
@@ -0,0 +1,93 @@
+{
+  "per_class": {
+    "loop_all": {
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+      "fp": 15,
+      "fn": 5,
+      "precision": 0.9257425742574258,
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+      "mean_mask_iou": 0.8920633772912828,
+      "n_matched": 187
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+      "tp": 136,
+      "fp": 13,
+      "fn": 10,
+      "precision": 0.912751677852349,
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+      "f1": 0.9220338983050848,
+      "mean_mask_iou": 0.9275931815285058,
+      "n_matched": 136
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+    "crystal": {
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+      "fp": 35,
+      "fn": 30,
+      "precision": 0.5070422535211268,
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+      "mean_mask_iou": 0.7908150819870128,
+      "n_matched": 36
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+    "loop_face": {
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+      "precision": 0.8092783505154639,
+      "recall": 0.9127906976744186,
+      "f1": 0.8579234972677595,
+      "mean_mask_iou": 0.8605816059403834,
+      "n_matched": 157
+    },
+    "ice": {
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+      "fp": 15,
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+      "mean_mask_iou": 0.796892647988566,
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+    },
+    "needle": {
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+      "f1": 0.0,
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+    }
+  },
+  "overall": {
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+    "fp": 115,
+    "fn": 96,
+    "precision": 0.8191823899371069,
+    "recall": 0.8444084278768234,
+    "f1": 0.8316041500399042,
+    "mean_mask_iou": 0.8839417323713283,
+    "n_matched": 521
+  },
+  "dataset": {
+    "gold_images": 203,
+    "pred_images": 203,
+    "missing_predictions": 0,
+    "iou_threshold": 0.5
+  },
+  "gate": {
+    "baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
+    "f1_delta": -0.0057,
+    "mask_iou_delta": -0.0083,
+    "mask_score": 0.7464,
+    "mask_score_baseline": 0.7547,
+    "matched_only_iou_delta": -0.0031,
+    "class_f1_delta": {
+      "loop_all": 0.0095,
+      "pin": -0.0036
+    },
+    "pass": false
+  }
+}
diff --git a/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/metadata.json b/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/metadata.json
new file mode 100644
index 0000000..ee52ec3
--- /dev/null
+++ b/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/metadata.json
@@ -0,0 +1,52 @@
+{
+  "model_id": "yolo26n-seg-v4-recipeA-2026-10-02",
+  "family": "yolo26n",
+  "task": "segmentation",
+  "training_date": "2026-10-02",
+  "run": "2026-10-01_v4-recipeA",
+  "dataset": "dataset/2026-10-01_v4",
+  "base_weights": "models/base/yolo26n-seg.pt",
+  "hyperparams": {
+    "epochs": 400,
+    "patience": 50,
+    "imgsz": 640,
+    "batch": 16,
+    "device": "0",
+    "overlap_mask": false,
+    "scale": 0.7,
+    "translate": 0.15,
+    "mosaic": 0.5,
+    "close_mosaic": 10,
+    "fliplr": 0.5,
+    "flipud": 0.3,
+    "shear": 5.0,
+    "perspective": 0.0,
+    "mask_ratio": 4
+  },
+  "export_formats": [
+    "pt"
+  ],
+  "metrics": {
+    "tp": 521,
+    "fp": 115,
+    "fn": 96,
+    "precision": 0.8191823899371069,
+    "recall": 0.8444084278768234,
+    "f1": 0.8316041500399042,
+    "mean_mask_iou": 0.8839417323713283,
+    "n_matched": 521
+  },
+  "gate": {
+    "baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
+    "f1_delta": -0.0057,
+    "mask_iou_delta": -0.0083,
+    "mask_score": 0.7464,
+    "mask_score_baseline": 0.7547,
+    "matched_only_iou_delta": -0.0031,
+    "class_f1_delta": {
+      "loop_all": 0.0095,
+      "pin": -0.0036
+    },
+    "pass": false
+  }
+}
diff --git a/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/weights.pt b/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/weights.pt
new file mode 100644
index 0000000..6a97774
--- /dev/null
+++ b/models/registry/yolo26n-seg-v4-recipeA-2026-10-02/weights.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12be44d536905914f8ede7778f4ca8ba2438c56e9940169c8817ec9b947964e6
+size 6604829
diff --git a/runs/2026-10-01_v4-recipeA/metrics.json b/runs/2026-10-01_v4-recipeA/metrics.json
new file mode 100644
index 0000000..a1c96ea
--- /dev/null
+++ b/runs/2026-10-01_v4-recipeA/metrics.json
@@ -0,0 +1,38 @@
+{
+  "overall": {
+    "tp": 521,
+    "fp": 115,
+    "fn": 96,
+    "precision": 0.8191823899371069,
+    "recall": 0.8444084278768234,
+    "f1": 0.8316041500399042,
+    "mean_mask_iou": 0.8839417323713283,
+    "n_matched": 521
+  },
+  "gate": {
+    "baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
+    "f1_delta": -0.0057,
+    "mask_iou_delta": -0.0083,
+    "mask_score": 0.7464,
+    "mask_score_baseline": 0.7547,
+    "matched_only_iou_delta": -0.0031,
+    "class_f1_delta": {
+      "loop_all": 0.0095,
+      "pin": -0.0036
+    },
+    "pass": false
+  },
+  "training": {
+    "epochs_run": 287,
+    "precision(B)": 0.72269,
+    "recall(B)": 0.65943,
+    "mAP50(B)": 0.66615,
+    "mAP50-95(B)": 0.52971,
+    "precision(M)": 0.71041,
+    "recall(M)": 0.65857,
+    "mAP50(M)": 0.66184,
+    "mAP50-95(M)": 0.50669
+  },
+  "version": "yolo26n-seg-v4-recipeA-2026-10-02",
+  "measured_at": "2026-10-02T04:12:20"
+}
diff --git a/runs/2026-10-01_v4-recipeA/run.json b/runs/2026-10-01_v4-recipeA/run.json
index bdcd283..dcf7d25 100644
--- a/runs/2026-10-01_v4-recipeA/run.json
+++ b/runs/2026-10-01_v4-recipeA/run.json
@@ -2,18 +2,78 @@
   "id": "2026-10-01_v4-recipeA",
   "dataset": "dataset/2026-10-01_v4",
   "base_weights": "models/base/yolo26n-seg.pt",
-  "status": "exported",
+  "status": "gate_failed",
   "created": "2026-10-01T23:52:09",
   "created_by": "jungfrau@mx-spark-01",
-  "hyperparams": {},
-  "version": null,
-  "metrics": {},
+  "hyperparams": {
+    "epochs": 400,
+    "patience": 50,
+    "imgsz": 640,
+    "batch": 16,
+    "device": "0",
+    "overlap_mask": false,
+    "scale": 0.7,
+    "translate": 0.15,
+    "mosaic": 0.5,
+    "close_mosaic": 10,
+    "fliplr": 0.5,
+    "flipud": 0.3,
+    "shear": 5.0,
+    "perspective": 0.0,
+    "mask_ratio": 4
+  },
+  "version": "yolo26n-seg-v4-recipeA-2026-10-02",
+  "metrics": {
+    "f1": 0.8316041500399042,
+    "mean_mask_iou": 0.8839417323713283,
+    "gate_pass": false,
+    "baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json",
+    "measured_at": "2026-10-02T04:12:20"
+  },
   "history": [
     {
       "status": "exported",
       "at": "2026-10-01T23:52:09",
       "by": "jungfrau@mx-spark-01",
       "note": "settings A (fliplr 0.5, mask_ratio 4) on dataset v4: quick signal, gate only, Spark"
+    },
+    {
+      "status": "training",
+      "at": "2026-10-01T23:59:18",
+      "by": "jungfrau@mx-spark-01",
+      "note": "train_run.py"
+    },
+    {
+      "status": "measured",
+      "at": "2026-10-02T02:04:53",
+      "by": "jungfrau@mx-spark-01",
+      "note": ""
+    },
+    {
+      "status": "gate_failed",
+      "at": "2026-10-02T02:04:53",
+      "by": "jungfrau@mx-spark-01",
+      "note": "{\"baseline\": \"/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json\", \"f1_delta\": -0.0057, \"mask_iou_delta\": -0.0083, \"mask_score\": 0.7464, \"mask_score_baseline\": 0.7547, \"matched_only_iou_delta\": -0.0031, \"class_f1_delta\": {\"loop_all\": 0.0095, \"pin\": -0.0036}, \"pass\": false}"
+    },
+    {
+      "status": "training",
+      "at": "2026-10-02T02:05:55",
+      "by": "jungfrau@mx-spark-01",
+      "note": "train_run.py"
+    },
+    {
+      "status": "measured",
+      "at": "2026-10-02T04:12:20",
+      "by": "jungfrau@mx-spark-01",
+      "note": ""
+    },
+    {
+      "status": "gate_failed",
+      "at": "2026-10-02T04:12:20",
+      "by": "jungfrau@mx-spark-01",
+      "note": "{\"baseline\": \"/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json\", \"f1_delta\": -0.0057, \"mask_iou_delta\": -0.0083, \"mask_score\": 0.7464, \"mask_score_baseline\": 0.7547, \"matched_only_iou_delta\": -0.0031, \"class_f1_delta\": {\"loop_all\": 0.0095, \"pin\": -0.0036}, \"pass\": false}"
     }
-  ]
+  ],
+  "host": "mx-spark-01",
+  "started": "2026-10-02T02:05:55"
 }
diff --git a/runs/README.md b/runs/README.md
index 61c4de4..7608e16 100644
--- a/runs/README.md
+++ b/runs/README.md
@@ -18,6 +18,8 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
 | 2026-09-30_v3-n-1024px | exported | dataset/2026-09-29_v3 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-09-30T07:17 |
 | 2026-09-30_v3-s-1024px | exported | dataset/2026-09-29_v3 | models/base/yolo26s-seg.pt | - | - | - | - | 2026-09-30T07:17 |
 | 2026-09-30_v3-s-640px | exported | dataset/2026-09-29_v3 | models/base/yolo26s-seg.pt | - | - | - | - | 2026-09-30T07:17 |
+| 2026-10-01_v4-noflip-mask1 | exported | dataset/2026-10-01_v4 | models/base/yolo26n-seg.pt | - | - | - | - | 2026-10-01T23:52 |
+| 2026-10-01_v4-recipeA | gate_failed | dataset/2026-10-01_v4 | models/base/yolo26n-seg.pt | yolo26n-seg-v4-recipeA-2026-10-02 | 0.832 | 0.884 | no | 2026-10-02T04:12 |
 
 States: exported → queued → training → measured → gate_passed → gate_failed → promoted → deployed (or aborted).
 
@@ -117,3 +119,17 @@ States: exported → queued → training → measured → gate_passed → gate_f
 ## 2026-09-30_v3-s-640px
 
 - 2026-09-30T07:17:45 · exported · jungfrau@mx-spark-01 — cluster: capacity lever, small model at 640 px, default recipe
+
+## 2026-10-01_v4-noflip-mask1
+
+- 2026-10-01T23:52:09 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) on dataset v4: candidate for the beamlines, Spark
+
+## 2026-10-01_v4-recipeA
+
+- 2026-10-01T23:52:09 · exported · jungfrau@mx-spark-01 — settings A (fliplr 0.5, mask_ratio 4) on dataset v4: quick signal, gate only, Spark
+- 2026-10-01T23:59:18 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-10-02T02:04:53 · measured · jungfrau@mx-spark-01
+- 2026-10-02T02:04:53 · gate_failed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json", "f1_delta": -0.0057, "mask_iou_delta": -0.0083, "mask_score": 0.7464, "mask_score_baseline": 0.7547, "matched_only_iou_delta": -0.0031, "class_f1_delta": {"loop_all": 0.0095, "pin": -0.0036}, "pass": false}
+- 2026-10-02T02:05:55 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-10-02T04:12:20 · measured · jungfrau@mx-spark-01
+- 2026-10-02T04:12:20 · gate_failed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v3-noflip-mask1-2026-09-30/gold_report.json", "f1_delta": -0.0057, "mask_iou_delta": -0.0083, "mask_score": 0.7464, "mask_score_baseline": 0.7547, "matched_only_iou_delta": -0.0031, "class_f1_delta": {"loop_all": 0.0095, "pin": -0.0036}, "pass": false}
diff --git a/runs/clean_gold_comparison.json b/runs/clean_gold_comparison.json
index 239db79..b246f84 100644
--- a/runs/clean_gold_comparison.json
+++ b/runs/clean_gold_comparison.json
@@ -700,6 +700,76 @@
         "missing_predictions": 0,
         "iou_threshold": 0.5
       }
+    },
+    "2026-10-01_v4-recipeA": {
+      "per_class": {
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+          "fp": 14,
+          "fn": 5,
+          "precision": 0.9054054054054054,
+          "recall": 0.9640287769784173,
+          "f1": 0.9337979094076654,
+          "mean_mask_iou": 0.8889360206475692,
+          "n_matched": 134
+        },
+        "pin": {
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+          "fp": 10,
+          "fn": 9,
+          "precision": 0.9145299145299145,
+          "recall": 0.9224137931034483,
+          "f1": 0.9184549356223175,
+          "mean_mask_iou": 0.9239745987076777,
+          "n_matched": 107
+        },
+        "crystal": {
+          "tp": 20,
+          "fp": 21,
+          "fn": 20,
+          "precision": 0.4878048780487805,
+          "recall": 0.5,
+          "f1": 0.49382716049382713,
+          "mean_mask_iou": 0.7757130400716813,
+          "n_matched": 20
+        },
+        "loop_face": {
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+          "fp": 30,
+          "fn": 12,
+          "precision": 0.782608695652174,
+          "recall": 0.9,
+          "f1": 0.8372093023255814,
+          "mean_mask_iou": 0.856831956661255,
+          "n_matched": 108
+        },
+        "ice": {
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+          "fp": 7,
+          "fn": 8,
+          "precision": 0.2222222222222222,
+          "recall": 0.2,
+          "f1": 0.2105263157894737,
+          "mean_mask_iou": 0.8132183908045978,
+          "n_matched": 2
+        }
+      },
+      "overall": {
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+        "fp": 82,
+        "fn": 54,
+        "precision": 0.8189845474613686,
+        "recall": 0.8729411764705882,
+        "f1": 0.8451025056947608,
+        "mean_mask_iou": 0.8831839831023023,
+        "n_matched": 371
+      },
+      "dataset": {
+        "gold_images": 149,
+        "pred_images": 203,
+        "missing_predictions": 0,
+        "iou_threshold": 0.5
+      }
     }
   }
 }
\ No newline at end of file