diff --git a/runs/README.md b/runs/README.md
index 63ac62f..5f9c1e5 100644
--- a/runs/README.md
+++ b/runs/README.md
@@ -5,7 +5,11 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
 | Run | Status | Dataset | Base | Version | F1 | Mask IoU | Gate | Last change |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- |
 | 2026-09-28_alc-v1 | promoted | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-2026-09-28 | 0.821 | 0.881 | yes | 2026-09-28T19:17 |
+| 2026-09-28_alc-v1-800px | gate_failed | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-800px-2026-09-29 | 0.808 | 0.895 | no | 2026-09-29T00:31 |
 | 2026-09-28_alc-v1-humanonly | gate_passed | dataset/2026-09-28_alc-v1-humanonly | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-humanonly-2026-09-28 | 0.820 | 0.877 | yes | 2026-09-28T20:44 |
+| 2026-09-28_alc-v1-mask1 | gate_failed | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-mask1-2026-09-28 | 0.820 | 0.888 | no | 2026-09-28T23:54 |
+| 2026-09-28_alc-v1-noflip | gate_passed | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | yolo26n-seg-alc-v1-noflip-2026-09-28 | 0.835 | 0.881 | yes | 2026-09-28T21:30 |
+| 2026-09-28_alc-v1-overlap | aborted | dataset/2026-09-28_alc-v1 | /home/jungfrau/AareLC/models/yolo26n-seg.pt | - | - | - | - | 2026-09-28T23:55 |
 
 States: exported → queued → training → measured → gate_passed → gate_failed → promoted → deployed (or aborted).
 
@@ -20,6 +24,13 @@ States: exported → queued → training → measured → gate_passed → gate_f
 - 2026-09-28T19:17:49 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-overlap-false-2026-04-12/gold_report.json", "f1_delta": 0.0452, "mask_iou_delta": 0.0327, "mask_score": 0.7103, "mask_score_baseline": 0.6775, "matched_only_iou_delta": -0.0217, "class_f1_delta": {"loop_all": 0.0786, "pin": 0.0339}, "pass": true}
 - 2026-09-28T19:17:49 · promoted · jungfrau@mx-spark-01 — by the gate
 
+## 2026-09-28_alc-v1-800px
+
+- 2026-09-28T23:55:28 · exported · jungfrau@mx-spark-01 — training size 800 px; same dataset and gold as 2026-09-28_alc-v1
+- 2026-09-28T23:55:28 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-09-29T00:31:00 · measured · jungfrau@mx-spark-01
+- 2026-09-29T00:31:00 · gate_failed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-alc-v1-2026-09-28/gold_report.json", "f1_delta": -0.0123, "mask_iou_delta": -0.0099, "mask_score": 0.7004, "mask_score_baseline": 0.7103, "matched_only_iou_delta": 0.0143, "class_f1_delta": {"loop_all": -0.0063, "pin": 0.0151}, "pass": false}
+
 ## 2026-09-28_alc-v1-humanonly
 
 - 2026-09-28T20:01:45 · exported · jungfrau@mx-spark-01 — twin of 2026-09-28_alc-v1 without the 163 accepted-unchanged frames; to be trained on the cluster
@@ -27,3 +38,23 @@ States: exported → queued → training → measured → gate_passed → gate_f
 - 2026-09-28T20:42:32 · measured · jungfrau@mx-spark-01
 - 2026-09-28T20:42:32 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-alc-v1-2026-09-28/gold_report.json", "f1_delta": -0.0004, "mask_iou_delta": 0.0113, "mask_score": 0.7215, "mask_score_baseline": 0.7103, "matched_only_iou_delta": -0.0033, "class_f1_delta": {"loop_all": 0.0292, "pin": 0.0042}, "pass": true}
 - 2026-09-28T20:44:27 · gate_passed · jungfrau@mx-spark-01 — gate passed vs the beamline baseline; not promoted: on the 66 clean frames B ties A on F1 (0.851 vs 0.853), mask IoU no tighter (0.878 vs 0.883), crystal F1 0.40 vs 0.62; A stays the candidate
+
+## 2026-09-28_alc-v1-mask1
+
+- 2026-09-28T21:30:31 · exported · jungfrau@mx-spark-01 — full-resolution masks (mask_ratio=1); same dataset and gold as 2026-09-28_alc-v1
+- 2026-09-28T21:30:31 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-09-28T23:54:44 · measured · jungfrau@mx-spark-01
+- 2026-09-28T23:54:44 · gate_failed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-alc-v1-2026-09-28/gold_report.json", "f1_delta": -0.0003, "mask_iou_delta": -0.0013, "mask_score": 0.709, "mask_score_baseline": 0.7103, "matched_only_iou_delta": 0.0072, "class_f1_delta": {"loop_all": -0.0063, "pin": 0.0196}, "pass": false}
+
+## 2026-09-28_alc-v1-noflip
+
+- 2026-09-28T21:03:25 · exported · jungfrau@mx-spark-01 — no horizontal flip (fliplr=0): the camera never shows the pin on the left; same dataset and gold as 2026-09-28_alc-v1
+- 2026-09-28T21:03:25 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-09-28T21:30:30 · measured · jungfrau@mx-spark-01
+- 2026-09-28T21:30:30 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26n-seg-alc-v1-2026-09-28/gold_report.json", "f1_delta": 0.0142, "mask_iou_delta": 0.0093, "mask_score": 0.7196, "mask_score_baseline": 0.7103, "matched_only_iou_delta": -0.0001, "class_f1_delta": {"loop_all": 0.0168, "pin": 0.0144}, "pass": true}
+
+## 2026-09-28_alc-v1-overlap
+
+- 2026-09-28T23:54:53 · exported · jungfrau@mx-spark-01 — overlap_mask on; same dataset and gold as 2026-09-28_alc-v1
+- 2026-09-28T23:54:53 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-09-28T23:55:32 · aborted · jungfrau@mx-spark-01 — skipped on purpose: overlap_mask merges nested masks (crystal inside loop_face inside loop_all), so the setting cannot be right for these labels
diff --git a/runs/clean_gold_comparison.json b/runs/clean_gold_comparison.json
index ddd94b0..e34dade 100644
--- a/runs/clean_gold_comparison.json
+++ b/runs/clean_gold_comparison.json
@@ -71,6 +71,76 @@
         "iou_threshold": 0.5
       }
     },
+    "2026-09-28_alc-v1-800px": {
+      "per_class": {
+        "loop_all": {
+          "tp": 59,
+          "fp": 10,
+          "fn": 5,
+          "precision": 0.855072463768116,
+          "recall": 0.921875,
+          "f1": 0.887218045112782,
+          "mean_mask_iou": 0.8815339593847193,
+          "n_matched": 59
+        },
+        "pin": {
+          "tp": 56,
+          "fp": 5,
+          "fn": 3,
+          "precision": 0.9180327868852459,
+          "recall": 0.9491525423728814,
+          "f1": 0.9333333333333333,
+          "mean_mask_iou": 0.9197473537826396,
+          "n_matched": 56
+        },
+        "crystal": {
+          "tp": 4,
+          "fp": 2,
+          "fn": 3,
+          "precision": 0.6666666666666666,
+          "recall": 0.5714285714285714,
+          "f1": 0.6153846153846153,
+          "mean_mask_iou": 0.8425290211607122,
+          "n_matched": 4
+        },
+        "loop_face": {
+          "tp": 30,
+          "fp": 11,
+          "fn": 23,
+          "precision": 0.7317073170731707,
+          "recall": 0.5660377358490566,
+          "f1": 0.6382978723404255,
+          "mean_mask_iou": 0.8851212986608521,
+          "n_matched": 30
+        },
+        "ice": {
+          "tp": 0,
+          "fp": 0,
+          "fn": 2,
+          "precision": 0.0,
+          "recall": 0.0,
+          "f1": 0.0,
+          "mean_mask_iou": 0.0,
+          "n_matched": 0
+        }
+      },
+      "overall": {
+        "tp": 149,
+        "fp": 28,
+        "fn": 36,
+        "precision": 0.8418079096045198,
+        "recall": 0.8054054054054054,
+        "f1": 0.8232044198895028,
+        "mean_mask_iou": 0.8955712111409039,
+        "n_matched": 149
+      },
+      "dataset": {
+        "gold_images": 66,
+        "pred_images": 120,
+        "missing_predictions": 0,
+        "iou_threshold": 0.5
+      }
+    },
     "2026-09-28_alc-v1-humanonly": {
       "per_class": {
         "loop_all": {
@@ -141,6 +211,76 @@
         "iou_threshold": 0.5
       }
     },
+    "2026-09-28_alc-v1-mask1": {
+      "per_class": {
+        "loop_all": {
+          "tp": 59,
+          "fp": 12,
+          "fn": 5,
+          "precision": 0.8309859154929577,
+          "recall": 0.921875,
+          "f1": 0.874074074074074,
+          "mean_mask_iou": 0.8836420109433821,
+          "n_matched": 59
+        },
+        "pin": {
+          "tp": 55,
+          "fp": 2,
+          "fn": 4,
+          "precision": 0.9649122807017544,
+          "recall": 0.9322033898305084,
+          "f1": 0.9482758620689654,
+          "mean_mask_iou": 0.9211536151590175,
+          "n_matched": 55
+        },
+        "crystal": {
+          "tp": 3,
+          "fp": 3,
+          "fn": 4,
+          "precision": 0.5,
+          "recall": 0.42857142857142855,
+          "f1": 0.4615384615384615,
+          "mean_mask_iou": 0.8327909254868483,
+          "n_matched": 3
+        },
+        "loop_face": {
+          "tp": 39,
+          "fp": 7,
+          "fn": 14,
+          "precision": 0.8478260869565217,
+          "recall": 0.7358490566037735,
+          "f1": 0.7878787878787878,
+          "mean_mask_iou": 0.8596259543418816,
+          "n_matched": 39
+        },
+        "ice": {
+          "tp": 1,
+          "fp": 0,
+          "fn": 1,
+          "precision": 1.0,
+          "recall": 0.5,
+          "f1": 0.6666666666666666,
+          "mean_mask_iou": 0.8958333333333334,
+          "n_matched": 1
+        }
+      },
+      "overall": {
+        "tp": 157,
+        "fp": 24,
+        "fn": 28,
+        "precision": 0.8674033149171271,
+        "recall": 0.8486486486486486,
+        "f1": 0.8579234972677595,
+        "mean_mask_iou": 0.8899232217103997,
+        "n_matched": 157
+      },
+      "dataset": {
+        "gold_images": 66,
+        "pred_images": 120,
+        "missing_predictions": 0,
+        "iou_threshold": 0.5
+      }
+    },
     "2026-09-28_alc-v1-noflip": {
       "per_class": {
         "loop_all": {
diff --git a/runs/clean_gold_comparison.txt b/runs/clean_gold_comparison.txt
new file mode 100644
index 0000000..46a48d4
--- /dev/null
+++ b/runs/clean_gold_comparison.txt
@@ -0,0 +1,8 @@
+clean gold frames: 66
+run                                                F1  recall  IoU matched  mask score   loop/pin/crystal/face/ice F1
+beamline yolo26n-seg-overlap-false-2026-04-12   0.687    0.67        0.903       0.606   0.71/0.84/0.17/0.63/0.29
+2026-09-28_alc-v1-800px                         0.823    0.81        0.896       0.721   0.89/0.93/0.62/0.64/0.00
+2026-09-28_alc-v1-humanonly                     0.851    0.86        0.878       0.759   0.93/0.94/0.40/0.75/0.67
+2026-09-28_alc-v1-mask1                         0.858    0.85        0.890       0.755   0.87/0.95/0.46/0.79/0.67
+2026-09-28_alc-v1-noflip                        0.846    0.86        0.879       0.755   0.90/0.93/0.47/0.75/0.67
+2026-09-28_alc-v1                               0.853    0.85        0.883       0.749   0.90/0.92/0.62/0.76/0.50