diff --git a/runs/2026-10-23_v5-m-noflip-mask1/run.json b/runs/2026-10-23_v5-m-noflip-mask1/run.json
index 2c2248b..3460902 100644
--- a/runs/2026-10-23_v5-m-noflip-mask1/run.json
+++ b/runs/2026-10-23_v5-m-noflip-mask1/run.json
@@ -2,10 +2,26 @@
   "id": "2026-10-23_v5-m-noflip-mask1",
   "dataset": "dataset/2026-10-22_v5",
   "base_weights": "models/base/yolo26m-seg.pt",
-  "status": "exported",
+  "status": "aborted",
   "created": "2026-10-23T18:53:13",
   "created_by": "jungfrau@mx-spark-01",
-  "hyperparams": {},
+  "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,
+    "flipud": 0.3,
+    "shear": 5.0,
+    "perspective": 0.0,
+    "mask_ratio": 1
+  },
   "version": null,
   "metrics": {},
   "history": [
@@ -14,6 +30,20 @@
       "at": "2026-10-23T18:53:13",
       "by": "jungfrau@mx-spark-01",
       "note": "promoted recipe (fliplr 0, mask_ratio 1) with yolo26m on dataset v5: gate only until its beamline speed is known, Spark"
+    },
+    {
+      "status": "training",
+      "at": "2026-10-23T18:53:13",
+      "by": "jungfrau@mx-spark-01",
+      "note": "train_run.py"
+    },
+    {
+      "status": "aborted",
+      "at": "2026-10-23T18:53:32",
+      "by": "jungfrau@mx-spark-01",
+      "note": "not trained: on 2026-10-23 the user chose to test higher resolution before bigger models"
     }
-  ]
+  ],
+  "host": "mx-spark-01",
+  "started": "2026-10-23T18:53:13"
 }
diff --git a/runs/README.md b/runs/README.md
index 24d9bce..84248ca 100644
--- a/runs/README.md
+++ b/runs/README.md
@@ -21,6 +21,7 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
 | 2026-10-01_v4-noflip-mask1 | promoted | dataset/2026-10-01_v4 | models/base/yolo26n-seg.pt | yolo26n-seg-v4-noflip-mask1-2026-10-02 | 0.852 | 0.891 | yes | 2026-10-02T13:25 |
 | 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 |
 | 2026-10-22_v5-noflip-mask1 | gate_failed | dataset/2026-10-22_v5 | models/base/yolo26n-seg.pt | yolo26n-seg-v5-noflip-mask1-2026-10-23 | 0.853 | 0.906 | no | 2026-10-23T03:53 |
+| 2026-10-23_v5-m-noflip-mask1 | aborted | dataset/2026-10-22_v5 | models/base/yolo26m-seg.pt | - | - | - | - | 2026-10-23T18:53 |
 | 2026-10-23_v5-s-noflip-mask1 | gate_failed | dataset/2026-10-22_v5 | models/base/yolo26s-seg.pt | yolo26s-seg-v5-s-noflip-mask1-2026-10-23 | 0.853 | 0.905 | no | 2026-10-23T18:53 |
 
 States: exported → queued → training → measured → gate_passed → gate_failed → promoted → deployed (or aborted).
@@ -153,6 +154,12 @@ States: exported → queued → training → measured → gate_passed → gate_f
 - 2026-10-23T03:53:38 · measured · jungfrau@mx-spark-01
 - 2026-10-23T03:53:38 · gate_failed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-v4-noflip-mask1-2026-10-02/gold_report.json", "f1_delta": 0.0049, "mask_iou_delta": -0.0125, "mask_score": 0.7842, "mask_score_baseline": 0.7967, "matched_only_iou_delta": -0.0063, "class_f1_delta": {"loop_all": -0.0133, "pin": 0.0121}, "pass_point_rule": false, "rule": "paired bootstrap", "bootstrap": {"frames": 335, "mounts": 300, "draws": 2000, "f1": {"delta": 0.0049, "lo": -0.009, "hi": 0.0203, "win": 0.761}, "mask_score": {"delta": -0.0125, "lo": -0.0235, "hi": -0.0014, "win": 0.009}}, "pass": false}
 
+## 2026-10-23_v5-m-noflip-mask1
+
+- 2026-10-23T18:53:13 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) with yolo26m on dataset v5: gate only until its beamline speed is known, Spark
+- 2026-10-23T18:53:13 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-10-23T18:53:32 · aborted · jungfrau@mx-spark-01 — not trained: on 2026-10-23 the user chose to test higher resolution before bigger models
+
 ## 2026-10-23_v5-s-noflip-mask1
 
 - 2026-10-23T03:53:49 · exported · jungfrau@mx-spark-01 — promoted recipe (fliplr 0, mask_ratio 1) with yolo26s on dataset v5: gate only until its beamline speed is known, Spark
diff --git a/runs/clean_gold_comparison.json b/runs/clean_gold_comparison.json
index 84ab0a1..540a99d 100644
--- a/runs/clean_gold_comparison.json
+++ b/runs/clean_gold_comparison.json
@@ -948,6 +948,73 @@
       "dataset": {
         "gold_images": 281
       }
+    },
+    "2026-10-23_v5-s-noflip-mask1": {
+      "per_class": {
+        "loop_all": {
+          "tp": 256,
+          "fp": 17,
+          "fn": 8,
+          "precision": 0.9377289377289377,
+          "recall": 0.9696969696969697,
+          "f1": 0.9534450651769087,
+          "mean_mask_iou": 0.9261675016114349,
+          "n_matched": 256
+        },
+        "pin": {
+          "tp": 185,
+          "fp": 20,
+          "fn": 9,
+          "precision": 0.9024390243902439,
+          "recall": 0.9536082474226805,
+          "f1": 0.9273182957393484,
+          "mean_mask_iou": 0.9377241214892925,
+          "n_matched": 185
+        },
+        "crystal": {
+          "tp": 74,
+          "fp": 48,
+          "fn": 49,
+          "precision": 0.6065573770491803,
+          "recall": 0.6016260162601627,
+          "f1": 0.6040816326530614,
+          "mean_mask_iou": 0.774550546325995,
+          "n_matched": 74
+        },
+        "loop_face": {
+          "tp": 225,
+          "fp": 47,
+          "fn": 18,
+          "precision": 0.8272058823529411,
+          "recall": 0.9259259259259259,
+          "f1": 0.8737864077669902,
+          "mean_mask_iou": 0.9077410417748937,
+          "n_matched": 225
+        },
+        "ice": {
+          "tp": 1,
+          "fp": 10,
+          "fn": 12,
+          "precision": 0.09090909090909091,
+          "recall": 0.07692307692307693,
+          "f1": 0.08333333333333334,
+          "mean_mask_iou": 0.8635014836795252,
+          "n_matched": 1
+        }
+      },
+      "overall": {
+        "tp": 741,
+        "fp": 142,
+        "fn": 96,
+        "precision": 0.8391845979614949,
+        "recall": 0.8853046594982079,
+        "f1": 0.8616279069767442,
+        "mean_mask_iou": 0.9082318747627538,
+        "n_matched": 741
+      },
+      "dataset": {
+        "gold_images": 281
+      }
     }
   },
   "core_frames": 148,
@@ -1890,6 +1957,73 @@
       "dataset": {
         "gold_images": 148
       }
+    },
+    "2026-10-23_v5-s-noflip-mask1": {
+      "per_class": {
+        "loop_all": {
+          "tp": 134,
+          "fp": 7,
+          "fn": 4,
+          "precision": 0.950354609929078,
+          "recall": 0.9710144927536232,
+          "f1": 0.9605734767025089,
+          "mean_mask_iou": 0.8966730070357405,
+          "n_matched": 134
+        },
+        "pin": {
+          "tp": 107,
+          "fp": 9,
+          "fn": 8,
+          "precision": 0.9224137931034483,
+          "recall": 0.9304347826086956,
+          "f1": 0.9264069264069263,
+          "mean_mask_iou": 0.9278713479920829,
+          "n_matched": 107
+        },
+        "crystal": {
+          "tp": 24,
+          "fp": 18,
+          "fn": 15,
+          "precision": 0.5714285714285714,
+          "recall": 0.6153846153846154,
+          "f1": 0.5925925925925927,
+          "mean_mask_iou": 0.7974621479687757,
+          "n_matched": 24
+        },
+        "loop_face": {
+          "tp": 111,
+          "fp": 21,
+          "fn": 8,
+          "precision": 0.8409090909090909,
+          "recall": 0.9327731092436975,
+          "f1": 0.8844621513944223,
+          "mean_mask_iou": 0.862330934817965,
+          "n_matched": 111
+        },
+        "ice": {
+          "tp": 1,
+          "fp": 8,
+          "fn": 9,
+          "precision": 0.1111111111111111,
+          "recall": 0.1,
+          "f1": 0.10526315789473685,
+          "mean_mask_iou": 0.8635014836795252,
+          "n_matched": 1
+        }
+      },
+      "overall": {
+        "tp": 377,
+        "fp": 63,
+        "fn": 44,
+        "precision": 0.8568181818181818,
+        "recall": 0.8954869358669834,
+        "f1": 0.875725900116144,
+        "mean_mask_iou": 0.8890125834951366,
+        "n_matched": 377
+      },
+      "dataset": {
+        "gold_images": 148
+      }
     }
   },
   "active": "yolo26n-seg-v4-noflip-mask1-2026-10-02",
@@ -2322,6 +2456,39 @@
           }
         }
       }
+    },
+    "2026-10-23_v5-s-noflip-mask1": {
+      "frames": 281,
+      "mounts": 249,
+      "draws": 2000,
+      "f1": {
+        "delta": 0.0056,
+        "lo": -0.0123,
+        "hi": 0.0221,
+        "win": 0.729
+      },
+      "mask_score": {
+        "delta": -0.0122,
+        "lo": -0.0263,
+        "hi": 0.0011,
+        "win": 0.037
+      },
+      "per_class": {
+        "crystal": {
+          "f1": {
+            "delta": 0.0201,
+            "lo": -0.0572,
+            "hi": 0.0943,
+            "win": 0.713
+          },
+          "mask_score": {
+            "delta": -0.0574,
+            "lo": -0.1232,
+            "hi": 0.0061,
+            "win": 0.04
+          }
+        }
+      }
     }
   },
   "core_reports_usable_light": {
@@ -3262,6 +3429,73 @@
       "dataset": {
         "gold_images": 142
       }
+    },
+    "2026-10-23_v5-s-noflip-mask1": {
+      "per_class": {
+        "loop_all": {
+          "tp": 132,
+          "fp": 7,
+          "fn": 4,
+          "precision": 0.9496402877697842,
+          "recall": 0.9705882352941176,
+          "f1": 0.96,
+          "mean_mask_iou": 0.8955794026834605,
+          "n_matched": 132
+        },
+        "pin": {
+          "tp": 104,
+          "fp": 9,
+          "fn": 6,
+          "precision": 0.9203539823008849,
+          "recall": 0.9454545454545454,
+          "f1": 0.9327354260089686,
+          "mean_mask_iou": 0.9290212044788666,
+          "n_matched": 104
+        },
+        "crystal": {
+          "tp": 24,
+          "fp": 18,
+          "fn": 15,
+          "precision": 0.5714285714285714,
+          "recall": 0.6153846153846154,
+          "f1": 0.5925925925925927,
+          "mean_mask_iou": 0.7974621479687757,
+          "n_matched": 24
+        },
+        "loop_face": {
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+          "fp": 21,
+          "fn": 8,
+          "precision": 0.8396946564885496,
+          "recall": 0.9322033898305084,
+          "f1": 0.8835341365461846,
+          "mean_mask_iou": 0.8623562109363304,
+          "n_matched": 110
+        },
+        "ice": {
+          "tp": 1,
+          "fp": 8,
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+          "precision": 0.1111111111111111,
+          "recall": 0.1,
+          "f1": 0.10526315789473685,
+          "mean_mask_iou": 0.8635014836795252,
+          "n_matched": 1
+        }
+      },
+      "overall": {
+        "tp": 371,
+        "fp": 63,
+        "fn": 42,
+        "precision": 0.8548387096774194,
+        "recall": 0.8983050847457628,
+        "f1": 0.8760330578512397,
+        "mean_mask_iou": 0.8886697106683168,
+        "n_matched": 371
+      },
+      "dataset": {
+        "gold_images": 142
+      }
     }
   },
   "saturated_frames": [