diff --git a/gmnet/conclusions/local_results/20260712/README.md b/gmnet/conclusions/local_results/20260712/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..01229a56707380aea24bcf6ac72ef156548ed029
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/README.md
@@ -0,0 +1,25 @@
+# GmNet Local Results 2026-07-12
+
+This directory contains persistent, data-free copies of the reportable local
+experiment artifacts. Raw checkpoints, per-sample outputs, logs, cached data,
+and exported ONNX binaries remain under `/tmp/gmnet_runs` or
+`/tmp/gmnet_data`.
+
+The consolidated Chinese report is:
+
+`/nfs/ywang29/GmNet/journal_exp/docs/LOCAL_EXPERIMENT_CONCLUSIONS.md`
+
+Artifact map:
+
+- `e0_smoke/`: single-GPU and 8-GPU execution evidence.
+- `e1_operator/`: operator and basis spectral audit.
+- `e1_trained/`: trained-feature audit and nonfinite diagnostics.
+- `e2_synthetic/`: controlled synthetic mechanism results.
+- `e3_cifar100/`: three-seed corruption and paired-bootstrap summary.
+- `e4_cifar100/`: three-seed frozen intervention summary.
+- `legacy_imagenet_clean/`: historical full-BN 50k clean result.
+- `e6_imagenet_partial/`: fixed 5k corruption protocol.
+- `e8_imagenet_partial/`: fixed 1k PGD protocol.
+- `e12/`: five-process aggregate and per-process JSON/Markdown, excluding ONNX binaries.
+
+These artifacts do not contain dataset files.
diff --git a/gmnet/conclusions/local_results/20260712/e12/AGGREGATE.md b/gmnet/conclusions/local_results/20260712/e12/AGGREGATE.md
new file mode 100644
index 0000000000000000000000000000000000000000..0f9842434624fa8578c48f71a86b5af9e40ef3e2
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e12/AGGREGATE.md
@@ -0,0 +1,13 @@
+# E12 Five-Process Aggregate
+
+Each table entry is mean +/- sample standard deviation across five independent processes on an otherwise idle host.
+
+| Device | Precision | Batch | Process p50 (ms) | Process p95 (ms) | Throughput (image/s) | Peak CUDA MiB |
+|---|---|---:|---:|---:|---:|---:|
+| cpu | fp32 | 1 | 23.084 +/- 0.138 | 23.543 +/- 0.249 | 43.20 +/- 0.23 | n/a |
+| cpu | fp32 | 32 | 501.900 +/- 23.229 | 554.875 +/- 10.161 | 63.99 +/- 2.40 | n/a |
+| cuda:0 | bf16 | 1 | 8.277 +/- 0.101 | 8.417 +/- 0.098 | 120.51 +/- 1.20 | 59.6 |
+| cuda:0 | bf16 | 32 | 9.703 +/- 0.007 | 9.715 +/- 0.006 | 3296.79 +/- 2.21 | 226.3 |
+| cuda:0 | fp32 | 1 | 6.357 +/- 0.031 | 6.499 +/- 0.033 | 157.22 +/- 0.70 | 49.8 |
+| cuda:0 | fp32 | 32 | 10.681 +/- 0.008 | 10.694 +/- 0.008 | 2995.60 +/- 2.25 | 348.1 |
+| onnxruntime-cpu | fp32 | 1 | 6.090 +/- 0.118 | 6.366 +/- 0.166 | 163.41 +/- 3.40 | n/a |
diff --git a/gmnet/conclusions/local_results/20260712/e12/aggregate.json b/gmnet/conclusions/local_results/20260712/e12/aggregate.json
new file mode 100644
index 0000000000000000000000000000000000000000..ffb56b8021d1b2a0dfc0c234b4c045ec93c0a41d
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e12/aggregate.json
@@ -0,0 +1,391 @@
+{
+  "checkpoint_sha256": "ed974e2e8ffe7f96c51187f08a519478ab345c7f3972efea768e445ef13f7377",
+  "configurations": [
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+      "device": "cpu",
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+          "median": 23.12643663957715,
+          "min": 23.031955678015947,
+          "sample_std": 0.12328798491445349
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+        "latency_p50_ms": {
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+          "min": 22.935669869184494,
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+        "latency_p95_ms": {
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+          "median": 23.523075925186276,
+          "min": 23.310522874817252,
+          "sample_std": 0.2485475242486687
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+        "peak_cuda_memory_mb": null,
+        "throughput_at_p50_images_per_second": {
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+          "mean": 43.32197279555689,
+          "median": 43.339549479581386,
+          "min": 42.912553601135016,
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+        "throughput_mean_images_per_second": {
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+        }
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+      "precision": "fp32",
+      "process_count": 5
+    },
+    {
+      "batch_size": 32,
+      "device": "cpu",
+      "metrics": {
+        "latency_mean_ms": {
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+        "latency_p50_ms": {
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+        "latency_p95_ms": {
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+          "max": 570.6003511324525,
+          "mean": 554.8751988634467,
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+          "min": 542.7881840150803,
+          "sample_std": 10.160888609113409
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+        "peak_cuda_memory_mb": null,
+        "throughput_at_p50_images_per_second": {
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+          "max": 66.26788180347843,
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+          "median": 64.92309621759829,
+          "min": 59.44233900388934,
+          "sample_std": 2.8637603689632622
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+        "throughput_mean_images_per_second": {
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+          "max": 65.81551639721643,
+          "mean": 63.98679529115898,
+          "median": 65.32564460383848,
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+          "sample_std": 2.4013643643862776
+        }
+      },
+      "precision": "fp32",
+      "process_count": 5
+    },
+    {
+      "batch_size": 1,
+      "device": "cuda:0",
+      "metrics": {
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+          "max": 8.436537294387817,
+          "mean": 8.298616346359253,
+          "median": 8.271878538131714,
+          "min": 8.215209589004516,
+          "sample_std": 0.0830207948568489
+        },
+        "latency_p50_ms": {
+          "count": 5,
+          "max": 8.44209623336792,
+          "mean": 8.277350425720215,
+          "median": 8.256879806518555,
+          "min": 8.189599990844727,
+          "sample_std": 0.1014699483053477
+        },
+        "latency_p95_ms": {
+          "count": 5,
+          "max": 8.581872367858887,
+          "mean": 8.416860542297362,
+          "median": 8.396809434890747,
+          "min": 8.318824195861817,
+          "sample_std": 0.09809947592016156
+        },
+        "peak_cuda_memory_mb": {
+          "count": 5,
+          "max": 59.56884765625,
+          "mean": 59.56884765625,
+          "median": 59.56884765625,
+          "min": 59.56884765625,
+          "sample_std": 0.0
+        },
+        "throughput_at_p50_images_per_second": {
+          "count": 5,
+          "max": 122.10608590381882,
+          "mean": 120.82599074377099,
+          "median": 121.11112471451146,
+          "min": 118.4539920366504,
+          "sample_std": 1.4668183062413767
+        },
+        "throughput_mean_images_per_second": {
+          "count": 5,
+          "max": 121.7254397670426,
+          "mean": 120.51158202878511,
+          "median": 120.8915236593718,
+          "min": 118.53204284004333,
+          "sample_std": 1.1952873253323333
+        }
+      },
+      "precision": "bf16",
+      "process_count": 5
+    },
+    {
+      "batch_size": 32,
+      "device": "cuda:0",
+      "metrics": {
+        "latency_mean_ms": {
+          "count": 5,
+          "max": 9.717348470687867,
+          "mean": 9.706411856651306,
+          "median": 9.7052671957016,
+          "min": 9.70056478023529,
+          "sample_std": 0.00651446415591737
+        },
+        "latency_p50_ms": {
+          "count": 5,
+          "max": 9.714143753051758,
+          "mean": 9.702691173553466,
+          "median": 9.701344013214111,
+          "min": 9.695536136627197,
+          "sample_std": 0.0069981431933621285
+        },
+        "latency_p95_ms": {
+          "count": 5,
+          "max": 9.72497591972351,
+          "mean": 9.715322360992431,
+          "median": 9.714578771591187,
+          "min": 9.710708475112915,
+          "sample_std": 0.005688887321121291
+        },
+        "peak_cuda_memory_mb": {
+          "count": 5,
+          "max": 226.3154296875,
+          "mean": 226.3154296875,
+          "median": 226.3154296875,
+          "min": 226.3154296875,
+          "sample_std": 0.0
+        },
+        "throughput_at_p50_images_per_second": {
+          "count": 5,
+          "max": 3300.487930637727,
+          "mean": 3298.055429922651,
+          "median": 3298.5120367253335,
+          "min": 3294.165786865878,
+          "sample_std": 2.3773811229258746
+        },
+        "throughput_mean_images_per_second": {
+          "count": 5,
+          "max": 3298.7770016442105,
+          "mean": 3296.7910280948718,
+          "median": 3297.1786716158203,
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+          "sample_std": 2.211233854213078
+        }
+      },
+      "precision": "bf16",
+      "process_count": 5
+    },
+    {
+      "batch_size": 1,
+      "device": "cuda:0",
+      "metrics": {
+        "latency_mean_ms": {
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+          "max": 6.40098064661026,
+          "mean": 6.360563716888428,
+          "median": 6.363610417842865,
+          "min": 6.323409268856048,
+          "sample_std": 0.028433888918889608
+        },
+        "latency_p50_ms": {
+          "count": 5,
+          "max": 6.397984027862549,
+          "mean": 6.356921672821045,
+          "median": 6.360432147979736,
+          "min": 6.311216115951538,
+          "sample_std": 0.031188293059964112
+        },
+        "latency_p95_ms": {
+          "count": 5,
+          "max": 6.547083187103271,
+          "mean": 6.498658280372619,
+          "median": 6.487408089637756,
+          "min": 6.462688112258911,
+          "sample_std": 0.03296286137347461
+        },
+        "peak_cuda_memory_mb": {
+          "count": 5,
+          "max": 49.7919921875,
+          "mean": 49.7919921875,
+          "median": 49.7919921875,
+          "min": 49.7919921875,
+          "sample_std": 0.0
+        },
+        "throughput_at_p50_images_per_second": {
+          "count": 5,
+          "max": 158.44806795199258,
+          "mean": 157.3118765984517,
+          "median": 157.22202151274107,
+          "min": 156.29923357812476,
+          "sample_std": 0.772645141301261
+        },
+        "throughput_mean_images_per_second": {
+          "count": 5,
+          "max": 158.14253948818143,
+          "mean": 157.2212813536749,
+          "median": 157.14349784771704,
+          "min": 156.2260621002761,
+          "sample_std": 0.7024123219625831
+        }
+      },
+      "precision": "fp32",
+      "process_count": 5
+    },
+    {
+      "batch_size": 32,
+      "device": "cuda:0",
+      "metrics": {
+        "latency_mean_ms": {
+          "count": 5,
+          "max": 10.692543683052063,
+          "mean": 10.68234019947052,
+          "median": 10.683189301490783,
+          "min": 10.670064640045165,
+          "sample_std": 0.00801623347475579
+        },
+        "latency_p50_ms": {
+          "count": 5,
+          "max": 10.691391944885254,
+          "mean": 10.6809983253479,
+          "median": 10.682112216949463,
+          "min": 10.668303966522217,
+          "sample_std": 0.008259396892141505
+        },
+        "latency_p95_ms": {
+          "count": 5,
+          "max": 10.704347133636475,
+          "mean": 10.694191284179688,
+          "median": 10.695173978805542,
+          "min": 10.683152008056641,
+          "sample_std": 0.007555741920004121
+        },
+        "peak_cuda_memory_mb": {
+          "count": 5,
+          "max": 348.1171875,
+          "mean": 348.1171875,
+          "median": 348.1171875,
+          "min": 348.1171875,
+          "sample_std": 0.0
+        },
+        "throughput_at_p50_images_per_second": {
+          "count": 5,
+          "max": 2999.5395800886376,
+          "mean": 2995.976063089893,
+          "median": 2995.6622201763744,
+          "min": 2993.0620975231154,
+          "sample_std": 2.3174589166287296
+        },
+        "throughput_mean_images_per_second": {
+          "count": 5,
+          "max": 2999.0446243317742,
+          "mean": 2995.5996366626637,
+          "median": 2995.360195998265,
+          "min": 2992.739702407834,
+          "sample_std": 2.2486004974884612
+        }
+      },
+      "precision": "fp32",
+      "process_count": 5
+    },
+    {
+      "batch_size": 1,
+      "device": "onnxruntime-cpu",
+      "metrics": {
+        "latency_mean_ms": {
+          "count": 5,
+          "max": 6.2931817304342985,
+          "mean": 6.121695172041655,
+          "median": 6.0500910226255655,
+          "min": 6.018890095874667,
+          "sample_std": 0.12856380700800313
+        },
+        "latency_p50_ms": {
+          "count": 5,
+          "max": 6.223052740097046,
+          "mean": 6.089816335588694,
+          "median": 6.018915679305792,
+          "min": 5.988558754324913,
+          "sample_std": 0.11757385610123064
+        },
+        "latency_p95_ms": {
+          "count": 5,
+          "max": 6.652397848665714,
+          "mean": 6.365792052820325,
+          "median": 6.31248508580029,
+          "min": 6.226326897740364,
+          "sample_std": 0.16604686226984347
+        },
+        "peak_cuda_memory_mb": null,
+        "throughput_at_p50_images_per_second": {
+          "count": 5,
+          "max": 166.98508623261048,
+          "mean": 164.25722249845342,
+          "median": 166.14288241953537,
+          "min": 160.69283706318154,
+          "sample_std": 3.150344834815364
+        },
+        "throughput_mean_images_per_second": {
+          "count": 5,
+          "max": 166.14358861368768,
+          "mean": 163.41058786247382,
+          "median": 165.28676944864026,
+          "min": 158.90213294873166,
+          "sample_std": 3.4011974973577113
+        }
+      },
+      "precision": "fp32",
+      "process_count": 5
+    }
+  ],
+  "experiment": "E12",
+  "int8": {
+    "reason": "No validated full-model INT8 calibration and quantization pipeline is available. Linear-only dynamic quantization is not reported as whole-model INT8.",
+    "status": "blocked"
+  },
+  "process_count": 5,
+  "schema_version": 1,
+  "source_results": [
+    "/tmp/gmnet_runs/e12_official/process0/results.json",
+    "/tmp/gmnet_runs/e12_official/process1/results.json",
+    "/tmp/gmnet_runs/e12_official/process2/results.json",
+    "/tmp/gmnet_runs/e12_official/process3/results.json",
+    "/tmp/gmnet_runs/e12_official/process4/results.json"
+  ],
+  "status": "aggregated_five_independent_processes"
+}
diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/REPORT.md b/gmnet/conclusions/local_results/20260712/e1_operator/REPORT.md
new file mode 100644
index 0000000000000000000000000000000000000000..eef27d707bae65985a91c0c27bf326f0a24e68b1
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/REPORT.md
@@ -0,0 +1,74 @@
+# E1 Spectral Measurement Audit
+
+## Protocol
+
+- Seeds: [0, 1, 2, 3, 4]
+- Gates: relu6_self, relu_self, gelu_self, identity, no_gate, smooth_clipped_static
+- Subjects: gate output, complete random-initialized block output, and residual branch delta.
+- Bases: orthonormal FFT, orthonormal DCT-II, and a manual orthonormal 2-D Haar transform.
+- All energy metrics remove each map's spatial mean before measuring spectrum.
+- frequency_auc is the integral of surviving spectral energy over normalized radius; it equals energy-weighted mean radius. It is not classification accuracy AUC.
+
+## Numerical Validation
+
+| Check | Maximum error |
+|---|---:|
+| fft:full_inverse | 8.52651e-14 |
+| dct:full_inverse | 8.52651e-14 |
+| haar:full_inverse | 5.68434e-14 |
+| fft:sum_disjoint_radial_bands | 8.52651e-14 |
+| dct:sum_disjoint_radial_bands | 8.52651e-14 |
+| haar:sum_all_subbands | 5.68434e-14 |
+
+## Gate-Only Frequency Shift
+
+Each seed first averages its paired change across the three bases. The table reports mean and sample standard deviation across five seeds.
+
+| Input | Gate | Frequency AUC delta | High/low log-gain |
+|---|---|---:|---:|
+| smooth_random_std1 | gelu_self | 0.0700737 +/- 0.00226205 | 0.622362 +/- 0.0229976 |
+| smooth_random_std1 | identity | 0.110623 +/- 0.00108796 | 0.878214 +/- 0.00613565 |
+| smooth_random_std1 | no_gate | -2.23291e-12 +/- 3.02665e-11 | -1.63202e-10 +/- 2.25653e-10 |
+| smooth_random_std1 | relu6_self | 0.0590163 +/- 0.00203315 | 0.53451 +/- 0.0208965 |
+| smooth_random_std1 | relu_self | 0.0590163 +/- 0.00203315 | 0.53451 +/- 0.0208965 |
+| smooth_random_std1 | smooth_clipped_static | 0.0589837 +/- 0.0020332 | 0.534224 +/- 0.0208964 |
+| smooth_random_std4 | gelu_self | 0.0624361 +/- 0.00165256 | 0.560627 +/- 0.013676 |
+| smooth_random_std4 | identity | 0.111777 +/- 0.000696289 | 0.889797 +/- 0.00608595 |
+| smooth_random_std4 | no_gate | -3.15729e-13 +/- 1.94846e-11 | 6.44457e-11 +/- 9.33107e-11 |
+| smooth_random_std4 | relu6_self | 0.0524827 +/- 0.00114872 | 0.490054 +/- 0.0100555 |
+| smooth_random_std4 | relu_self | 0.0622034 +/- 0.00165009 | 0.558618 +/- 0.0136644 |
+| smooth_random_std4 | smooth_clipped_static | 0.0524483 +/- 0.00114826 | 0.489694 +/- 0.010056 |
+
+## Cross-Basis Consistency
+
+Spearman correlations use all seed/input/gate combinations within each subject.
+
+| Subject | Metric | Pair | rho | p |
+|---|---|---|---:|---:|
+| gate_output | frequency_auc_delta | fft/dct | 0.994513 | 1.50498e-117 |
+| gate_output | frequency_auc_delta | fft/haar | 0.943986 | 1.1802e-58 |
+| gate_output | frequency_auc_delta | dct/haar | 0.933374 | 2.41081e-54 |
+| block_output | frequency_auc_delta | fft/dct | 0.997889 | 5.6099e-142 |
+| block_output | frequency_auc_delta | fft/haar | 0.986026 | 1.06164e-93 |
+| block_output | frequency_auc_delta | dct/haar | 0.98163 | 9.55354e-87 |
+| block_delta | frequency_auc_delta | fft/dct | 0.992117 | 2.70719e-108 |
+| block_delta | frequency_auc_delta | fft/haar | 0.990957 | 8.61761e-105 |
+| block_delta | frequency_auc_delta | dct/haar | 0.98545 | 1.13395e-92 |
+
+## Conclusions
+
+1. The transform and disjoint-band reconstruction audit passes numerically; the worst recorded error is 8.52651e-14.
+2. Directional agreement is quantified rather than assumed. The minimum cross-basis Spearman rho for paired frequency shift is 0.933374; method-specific values remain in consistency.csv.
+3. In the std=4 direct-gate condition, 6.68167% of values cross 6. ReLU6 reduces the frequency-AUC increase by 0.0097207 (15.6273%) relative to ReLU.
+4. The static smooth-clipped approximation tracks hard ReLU6 closely: its absolute frequency-AUC delta gap is 3.44125e-05 in that condition.
+5. The random block's pre-gate clip-crossing rate is only 0.00427246%, and the ReLU/ReLU6 residual-branch gap contracts to 3.30551e-05. Gate behavior therefore depends on the learned activation distribution.
+6. Identity self-gating (x squared) produces the largest gate-only frequency shift, while no_gate is the zero-change control. Smoothness alone does not order the results; the composite mapping and clipping both matter.
+7. Gate-output energy expansion is a spatial-feature statistic, not evidence of label relevance or model function frequency.
+
+## Limitations
+
+- Blocks are random-initialized and are used only to audit measurement behavior. No statement about ImageNet accuracy follows from these rows.
+- Haar octave bands are not geometrically identical to radial FFT/DCT bands; rank agreement is the defensible cross-basis comparison.
+- Frequency-Accuracy AUC requires a trained checkpoint and labeled evaluation set. This run reports spectral energy AUC and low-pass reconstruction AUC only.
+
+The machine-readable source tables are metrics.csv, summary.csv, paired_seed_summary.csv, paired_gate_summary.csv, distributions.csv, distribution_summary.csv, lowpass.csv, lowpass_auc.csv, reconstruction.csv, consistency.csv, and results.json.
diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/config.yaml b/gmnet/conclusions/local_results/20260712/e1_operator/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d5bccf388677b28de7b473a0ee6970b15d28e3e4
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/config.yaml
@@ -0,0 +1,63 @@
+experiment_id: E1-spectral-gate-block-audit
+description: Orthogonal FFT, DCT-II, and Haar audit on controlled spatial fields.
+seeds:
+- 0
+- 1
+- 2
+- 3
+- 4
+device: cuda:0
+shape:
+  batch_size: 4
+  channels: 8
+  resolution: 64
+gates:
+- relu6_self
+- relu_self
+- gelu_self
+- identity
+- no_gate
+- smooth_clipped_static
+inputs:
+- name: smooth_random_std1
+  kind: random_field
+  target_std: 1.0
+  spectral_alpha: 3.0
+  knee: 0.15
+- name: smooth_random_std4
+  kind: random_field
+  target_std: 4.0
+  spectral_alpha: 3.0
+  knee: 0.15
+- name: white_random_std1
+  kind: random_field
+  target_std: 1.0
+  spectral_alpha: 0.0
+  knee: 0.15
+- name: tone_mix_std2
+  kind: tone_mix
+  target_std: 2.0
+spectral:
+  high_low_split: 0.5
+  haar_levels: 3
+  lowpass_cutoffs:
+  - 0.125
+  - 0.25
+  - 0.5
+  lowpass_modes:
+  - hard
+  - butterworth
+  butterworth_order: 4
+  band_edges:
+  - 0.0
+  - 0.125
+  - 0.25
+  - 0.5
+  - 1.0
+block:
+  mlp_ratio: 2
+  kernel_size: 7
+  layer_scale: 0.0
+  f12_bn: false
+  projection_bn: true
+  second_dw_bn: false
diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/consistency.csv b/gmnet/conclusions/local_results/20260712/e1_operator/consistency.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b764a86e1c831b7df85aa237a3fb6bc0ca163b92
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/consistency.csv
@@ -0,0 +1,28 @@
+subject,metric,method_a,method_b,count,spearman_rho,p_value
+gate_output,frequency_auc,fft,dct,120,0.9949646658448075,9.617924125443615e-120
+gate_output,frequency_auc,fft,haar,120,0.9688920528536454,2.0752479475550947e-73
+gate_output,frequency_auc,dct,haar,120,0.9622940287882209,1.4546585984228625e-68
+gate_output,high_low_ratio,fft,dct,120,0.9888805931276371,1.6090994061116563e-99
+gate_output,high_low_ratio,fft,haar,120,0.9531679197124652,3.992498890503979e-63
+gate_output,high_low_ratio,dct,haar,120,0.9406664004306079,3.1990204161825483e-57
+gate_output,frequency_auc_delta,fft,dct,120,0.9945132220929627,1.5049847962743032e-117
+gate_output,frequency_auc_delta,fft,haar,120,0.9439862483287901,1.1801991527406266e-58
+gate_output,frequency_auc_delta,dct,haar,120,0.9333738475161912,2.4108138684459445e-54
+block_output,frequency_auc,fft,dct,120,0.9983539666278888,2.3732013195181405e-148
+block_output,frequency_auc,fft,haar,120,0.9924851978539058,1.628345396568366e-109
+block_output,frequency_auc,dct,haar,120,0.9933603042036361,1.1226099757424657e-112
+block_output,high_low_ratio,fft,dct,120,0.9952216415189347,4.406024802715664e-121
+block_output,high_low_ratio,fft,haar,120,0.39801017484763773,6.738619374394976e-06
+block_output,high_low_ratio,dct,haar,120,0.40373309256333234,4.817565440555021e-06
+block_output,frequency_auc_delta,fft,dct,120,0.997888632299064,5.609903128353661e-142
+block_output,frequency_auc_delta,fft,haar,120,0.9860260795582797,1.0616390886994147e-93
+block_output,frequency_auc_delta,dct,haar,120,0.9816297119441598,9.553543059387529e-87
+block_delta,frequency_auc,fft,dct,120,0.9945132220929627,1.5049847962743032e-117
+block_delta,frequency_auc,fft,haar,120,0.9866997725418019,5.865203200803627e-95
+block_delta,frequency_auc,dct,haar,120,0.9881374472592157,7.16181943558788e-98
+block_delta,high_low_ratio,fft,dct,120,0.9977844529717153,9.58898534354008e-141
+block_delta,high_low_ratio,fft,haar,120,0.7926414668449291,4.041958730842969e-27
+block_delta,high_low_ratio,dct,haar,120,0.7908704182799993,6.3114728122919005e-27
+block_delta,frequency_auc_delta,fft,dct,120,0.9921170975639401,2.7071863074993762e-108
+block_delta,frequency_auc_delta,fft,haar,120,0.9909572343861233,8.617610278795583e-105
+block_delta,frequency_auc_delta,dct,haar,120,0.9854496206136162,1.1339530483515894e-92
diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/distribution_summary.csv b/gmnet/conclusions/local_results/20260712/e1_operator/distribution_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c1ec32438b05e750e6b9e8ba33a83615a34a7961
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/distribution_summary.csv
@@ -0,0 +1,25 @@
+input,gate,count,direct_input_negative_fraction_mean,direct_input_negative_fraction_std,direct_input_mid_fraction_mean,direct_input_mid_fraction_std,direct_input_clipped_fraction_mean,direct_input_clipped_fraction_std,block_gate_input_negative_fraction_mean,block_gate_input_negative_fraction_std,block_gate_input_mid_fraction_mean,block_gate_input_mid_fraction_std,block_gate_input_clipped_fraction_mean,block_gate_input_clipped_fraction_std
+smooth_random_std1,gelu_self,5,0.49983978271484375,0.0010190026805830027,0.5001602172851562,0.0010190026805830027,0.0,0.0,0.5401023864746094,0.04258601235634802,0.4598976135253906,0.04258601235634802,0.0,0.0
+smooth_random_std1,identity,5,0.49983978271484375,0.0010190026805830027,0.5001602172851562,0.0010190026805830027,0.0,0.0,0.5401023864746094,0.04258601235634802,0.4598976135253906,0.04258601235634802,0.0,0.0
+smooth_random_std1,no_gate,5,0.49983978271484375,0.0010190026805830027,0.5001602172851562,0.0010190026805830027,0.0,0.0,0.5401023864746094,0.04258601235634802,0.4598976135253906,0.04258601235634802,0.0,0.0
+smooth_random_std1,relu6_self,5,0.49983978271484375,0.0010190026805830027,0.5001602172851562,0.0010190026805830027,0.0,0.0,0.5401023864746094,0.04258601235634802,0.4598976135253906,0.04258601235634802,0.0,0.0
+smooth_random_std1,relu_self,5,0.49983978271484375,0.0010190026805830027,0.5001602172851562,0.0010190026805830027,0.0,0.0,0.5401023864746094,0.04258601235634802,0.4598976135253906,0.04258601235634802,0.0,0.0
+smooth_random_std1,smooth_clipped_static,5,0.49983978271484375,0.0010190026805830027,0.5001602172851562,0.0010190026805830027,0.0,0.0,0.5401023864746094,0.04258601235634802,0.4598976135253906,0.04258601235634802,0.0,0.0
+smooth_random_std4,gelu_self,5,0.49971923828125,0.0011878283707018348,0.43346405029296875,0.0017598038228935,0.06681671142578124,0.0007350675166006481,0.511016845703125,0.0111336277466641,0.4889404296875,0.011174790343372328,4.2724609375e-05,4.8131745286827096e-05
+smooth_random_std4,identity,5,0.49971923828125,0.0011878283707018348,0.43346405029296875,0.0017598038228935,0.06681671142578124,0.0007350675166006481,0.511016845703125,0.0111336277466641,0.4889404296875,0.011174790343372328,4.2724609375e-05,4.8131745286827096e-05
+smooth_random_std4,no_gate,5,0.49971923828125,0.0011878283707018348,0.43346405029296875,0.0017598038228935,0.06681671142578124,0.0007350675166006481,0.511016845703125,0.0111336277466641,0.4889404296875,0.011174790343372328,4.2724609375e-05,4.8131745286827096e-05
+smooth_random_std4,relu6_self,5,0.49971923828125,0.0011878283707018348,0.43346405029296875,0.0017598038228935,0.06681671142578124,0.0007350675166006481,0.511016845703125,0.0111336277466641,0.4889404296875,0.011174790343372328,4.2724609375e-05,4.8131745286827096e-05
+smooth_random_std4,relu_self,5,0.49971923828125,0.0011878283707018348,0.43346405029296875,0.0017598038228935,0.06681671142578124,0.0007350675166006481,0.511016845703125,0.0111336277466641,0.4889404296875,0.011174790343372328,4.2724609375e-05,4.8131745286827096e-05
+smooth_random_std4,smooth_clipped_static,5,0.49971923828125,0.0011878283707018348,0.43346405029296875,0.0017598038228935,0.06681671142578124,0.0007350675166006481,0.511016845703125,0.0111336277466641,0.4889404296875,0.011174790343372328,4.2724609375e-05,4.8131745286827096e-05
+tone_mix_std2,gelu_self,5,0.49996490478515626,0.00027309609284723534,0.5000350952148438,0.00027309609284723534,0.0,0.0,0.5191452026367187,0.025803259791230996,0.48085479736328124,0.025803259791230996,0.0,0.0
+tone_mix_std2,identity,5,0.49996490478515626,0.00027309609284723534,0.5000350952148438,0.00027309609284723534,0.0,0.0,0.5191452026367187,0.025803259791230996,0.48085479736328124,0.025803259791230996,0.0,0.0
+tone_mix_std2,no_gate,5,0.49996490478515626,0.00027309609284723534,0.5000350952148438,0.00027309609284723534,0.0,0.0,0.5191452026367187,0.025803259791230996,0.48085479736328124,0.025803259791230996,0.0,0.0
+tone_mix_std2,relu6_self,5,0.49996490478515626,0.00027309609284723534,0.5000350952148438,0.00027309609284723534,0.0,0.0,0.5191452026367187,0.025803259791230996,0.48085479736328124,0.025803259791230996,0.0,0.0
+tone_mix_std2,relu_self,5,0.49996490478515626,0.00027309609284723534,0.5000350952148438,0.00027309609284723534,0.0,0.0,0.5191452026367187,0.025803259791230996,0.48085479736328124,0.025803259791230996,0.0,0.0
+tone_mix_std2,smooth_clipped_static,5,0.49996490478515626,0.00027309609284723534,0.5000350952148438,0.00027309609284723534,0.0,0.0,0.5191452026367187,0.025803259791230996,0.48085479736328124,0.025803259791230996,0.0,0.0
+white_random_std1,gelu_self,5,0.4991302490234375,0.0008879153468898144,0.5008697509765625,0.0008879153468898144,0.0,0.0,0.5422554016113281,0.044673809171573674,0.4577445983886719,0.044673809171573674,0.0,0.0
+white_random_std1,identity,5,0.4991302490234375,0.0008879153468898144,0.5008697509765625,0.0008879153468898144,0.0,0.0,0.5422554016113281,0.044673809171573674,0.4577445983886719,0.044673809171573674,0.0,0.0
+white_random_std1,no_gate,5,0.4991302490234375,0.0008879153468898144,0.5008697509765625,0.0008879153468898144,0.0,0.0,0.5422554016113281,0.044673809171573674,0.4577445983886719,0.044673809171573674,0.0,0.0
+white_random_std1,relu6_self,5,0.4991302490234375,0.0008879153468898144,0.5008697509765625,0.0008879153468898144,0.0,0.0,0.5422554016113281,0.044673809171573674,0.4577445983886719,0.044673809171573674,0.0,0.0
+white_random_std1,relu_self,5,0.4991302490234375,0.0008879153468898144,0.5008697509765625,0.0008879153468898144,0.0,0.0,0.5422554016113281,0.044673809171573674,0.4577445983886719,0.044673809171573674,0.0,0.0
+white_random_std1,smooth_clipped_static,5,0.4991302490234375,0.0008879153468898144,0.5008697509765625,0.0008879153468898144,0.0,0.0,0.5422554016113281,0.044673809171573674,0.4577445983886719,0.044673809171573674,0.0,0.0
diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/distributions.csv b/gmnet/conclusions/local_results/20260712/e1_operator/distributions.csv
new file mode 100644
index 0000000000000000000000000000000000000000..fb172ecdb224268c7fadd019f61ef4a09dcdc73d
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/distributions.csv
@@ -0,0 +1,121 @@
+seed,input,gate,direct_input_negative_fraction,direct_input_mid_fraction,direct_input_clipped_fraction,block_gate_input_negative_fraction,block_gate_input_mid_fraction,block_gate_input_clipped_fraction
+0,smooth_random_std1,relu6_self,0.4988250732421875,0.5011749267578125,0.0,0.5411262512207031,0.4588737487792969,0.0
+0,smooth_random_std1,relu_self,0.4988250732421875,0.5011749267578125,0.0,0.5411262512207031,0.4588737487792969,0.0
+0,smooth_random_std1,gelu_self,0.4988250732421875,0.5011749267578125,0.0,0.5411262512207031,0.4588737487792969,0.0
+0,smooth_random_std1,identity,0.4988250732421875,0.5011749267578125,0.0,0.5411262512207031,0.4588737487792969,0.0
+0,smooth_random_std1,no_gate,0.4988250732421875,0.5011749267578125,0.0,0.5411262512207031,0.4588737487792969,0.0
+0,smooth_random_std1,smooth_clipped_static,0.4988250732421875,0.5011749267578125,0.0,0.5411262512207031,0.4588737487792969,0.0
+0,smooth_random_std4,relu6_self,0.5016708374023438,0.4309234619140625,0.06740570068359375,0.5099868774414062,0.4900054931640625,7.62939453125e-06
+0,smooth_random_std4,relu_self,0.5016708374023438,0.4309234619140625,0.06740570068359375,0.5099868774414062,0.4900054931640625,7.62939453125e-06
+0,smooth_random_std4,gelu_self,0.5016708374023438,0.4309234619140625,0.06740570068359375,0.5099868774414062,0.4900054931640625,7.62939453125e-06
+0,smooth_random_std4,identity,0.5016708374023438,0.4309234619140625,0.06740570068359375,0.5099868774414062,0.4900054931640625,7.62939453125e-06
+0,smooth_random_std4,no_gate,0.5016708374023438,0.4309234619140625,0.06740570068359375,0.5099868774414062,0.4900054931640625,7.62939453125e-06
+0,smooth_random_std4,smooth_clipped_static,0.5016708374023438,0.4309234619140625,0.06740570068359375,0.5099868774414062,0.4900054931640625,7.62939453125e-06
+0,white_random_std1,relu6_self,0.49895477294921875,0.5010452270507812,0.0,0.5415802001953125,0.4584197998046875,0.0
+0,white_random_std1,relu_self,0.49895477294921875,0.5010452270507812,0.0,0.5415802001953125,0.4584197998046875,0.0
+0,white_random_std1,gelu_self,0.49895477294921875,0.5010452270507812,0.0,0.5415802001953125,0.4584197998046875,0.0
+0,white_random_std1,identity,0.49895477294921875,0.5010452270507812,0.0,0.5415802001953125,0.4584197998046875,0.0
+0,white_random_std1,no_gate,0.49895477294921875,0.5010452270507812,0.0,0.5415802001953125,0.4584197998046875,0.0
+0,white_random_std1,smooth_clipped_static,0.49895477294921875,0.5010452270507812,0.0,0.5415802001953125,0.4584197998046875,0.0
+0,tone_mix_std2,relu6_self,0.5001754760742188,0.49982452392578125,0.0,0.5246162414550781,0.4753837585449219,0.0
+0,tone_mix_std2,relu_self,0.5001754760742188,0.49982452392578125,0.0,0.5246162414550781,0.4753837585449219,0.0
+0,tone_mix_std2,gelu_self,0.5001754760742188,0.49982452392578125,0.0,0.5246162414550781,0.4753837585449219,0.0
+0,tone_mix_std2,identity,0.5001754760742188,0.49982452392578125,0.0,0.5246162414550781,0.4753837585449219,0.0
+0,tone_mix_std2,no_gate,0.5001754760742188,0.49982452392578125,0.0,0.5246162414550781,0.4753837585449219,0.0
+0,tone_mix_std2,smooth_clipped_static,0.5001754760742188,0.49982452392578125,0.0,0.5246162414550781,0.4753837585449219,0.0
+1,smooth_random_std1,relu6_self,0.501312255859375,0.498687744140625,0.0,0.508880615234375,0.491119384765625,0.0
+1,smooth_random_std1,relu_self,0.501312255859375,0.498687744140625,0.0,0.508880615234375,0.491119384765625,0.0
+1,smooth_random_std1,gelu_self,0.501312255859375,0.498687744140625,0.0,0.508880615234375,0.491119384765625,0.0
+1,smooth_random_std1,identity,0.501312255859375,0.498687744140625,0.0,0.508880615234375,0.491119384765625,0.0
+1,smooth_random_std1,no_gate,0.501312255859375,0.498687744140625,0.0,0.508880615234375,0.491119384765625,0.0
+1,smooth_random_std1,smooth_clipped_static,0.501312255859375,0.498687744140625,0.0,0.508880615234375,0.491119384765625,0.0
+1,smooth_random_std4,relu6_self,0.49872589111328125,0.43573760986328125,0.0655364990234375,0.5015220642089844,0.4984588623046875,1.9073486328125e-05
+1,smooth_random_std4,relu_self,0.49872589111328125,0.43573760986328125,0.0655364990234375,0.5015220642089844,0.4984588623046875,1.9073486328125e-05
+1,smooth_random_std4,gelu_self,0.49872589111328125,0.43573760986328125,0.0655364990234375,0.5015220642089844,0.4984588623046875,1.9073486328125e-05
+1,smooth_random_std4,identity,0.49872589111328125,0.43573760986328125,0.0655364990234375,0.5015220642089844,0.4984588623046875,1.9073486328125e-05
+1,smooth_random_std4,no_gate,0.49872589111328125,0.43573760986328125,0.0655364990234375,0.5015220642089844,0.4984588623046875,1.9073486328125e-05
+1,smooth_random_std4,smooth_clipped_static,0.49872589111328125,0.43573760986328125,0.0655364990234375,0.5015220642089844,0.4984588623046875,1.9073486328125e-05
+1,white_random_std1,relu6_self,0.50042724609375,0.49957275390625,0.0,0.5101890563964844,0.4898109436035156,0.0
+1,white_random_std1,relu_self,0.50042724609375,0.49957275390625,0.0,0.5101890563964844,0.4898109436035156,0.0
+1,white_random_std1,gelu_self,0.50042724609375,0.49957275390625,0.0,0.5101890563964844,0.4898109436035156,0.0
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/lowpass.csv b/gmnet/conclusions/local_results/20260712/e1_operator/lowpass.csv
new file mode 100644
index 0000000000000000000000000000000000000000..53887e665131dc59ea7a227ed66020ef68cc5eb5
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/lowpass.csv
@@ -0,0 +1,5401 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/lowpass_auc.csv b/gmnet/conclusions/local_results/20260712/e1_operator/lowpass_auc.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b4427970487b8b9efbffe9a815048eae882b3a57
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/lowpass_auc.csv
@@ -0,0 +1,1801 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/metrics.csv b/gmnet/conclusions/local_results/20260712/e1_operator/metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..751bd0cf8c236e5bf5786e60528ca156aaf94d00
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/metrics.csv
@@ -0,0 +1,1081 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/paired_gate_summary.csv b/gmnet/conclusions/local_results/20260712/e1_operator/paired_gate_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ce7b4caef0e5472a9caa189804bccc6607d421d5
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/paired_gate_summary.csv
@@ -0,0 +1,73 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/paired_seed_summary.csv b/gmnet/conclusions/local_results/20260712/e1_operator/paired_seed_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..075d11ee75f11c6c1fd640c5cf2d5f466dff1374
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/paired_seed_summary.csv
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/reconstruction.csv b/gmnet/conclusions/local_results/20260712/e1_operator/reconstruction.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1d25ede22dccdc3b1f13e062df5a4f9b15f0e60e
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/reconstruction.csv
@@ -0,0 +1,2161 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/results.json b/gmnet/conclusions/local_results/20260712/e1_operator/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..87fab62fff6ff5084bd2891044f86c9154ef30b3
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/results.json
@@ -0,0 +1,1407 @@
+{
+  "schema_version": 1,
+  "experiment_id": "E1-spectral-gate-block-audit",
+  "timestamp_utc": "2026-07-12T21:33:44.732110+00:00",
+  "config_path": "/nfs/ywang29/GmNet/journal_exp/configs/e1_spectral/gate_block_audit.yaml",
+  "output_dir": "/tmp/gmnet_runs/e1_spectral_full_v2",
+  "environment": {
+    "python": "3.12.10 (main, Jun 20 2026, 12:12:16) [GCC 11.4.0]",
+    "platform": "Linux-6.1.163-186.299.amzn2023.x86_64-x86_64-with-glibc2.35",
+    "torch": "2.9.0+cu130",
+    "numpy": "2.5.0",
+    "scipy": "1.16.3",
+    "requested_device": "cuda:0",
+    "actual_device": "cuda:0",
+    "gpu": "NVIDIA A100-SXM4-80GB"
+  },
+  "definitions": {
+    "frequency_auc": "Integral of surviving centered spatial energy over normalized radius; equivalent to energy-weighted mean normalized frequency.",
+    "lowpass_reconstruction_auc": "Trapezoidal AUC of 1-relative-MSE for low-pass reconstructions; not classification accuracy.",
+    "high_low_split": 0.5
+  },
+  "validation_max_abs_error": {
+    "fft:full_inverse": 8.526512829121202e-14,
+    "dct:full_inverse": 8.526512829121202e-14,
+    "haar:full_inverse": 5.684341886080802e-14,
+    "fft:sum_disjoint_radial_bands": 8.526512829121202e-14,
+    "dct:sum_disjoint_radial_bands": 8.526512829121202e-14,
+    "haar:sum_all_subbands": 5.684341886080802e-14
+  },
+  "paired_gate_summary": [
+    {
+      "input": "smooth_random_std1",
+      "gate": "gelu_self",
+      "subject": "block_delta",
+      "count": 5,
+      "frequency_auc_delta_mean": 0.051339355725566915,
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diff --git a/gmnet/conclusions/local_results/20260712/e1_operator/summary.csv b/gmnet/conclusions/local_results/20260712/e1_operator/summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..db50a23a42bda99d18d574d36e350d9b45f6e79b
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_operator/summary.csv
@@ -0,0 +1,217 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/REPORT.md b/gmnet/conclusions/local_results/20260712/e1_trained/REPORT.md
new file mode 100644
index 0000000000000000000000000000000000000000..42b1d37ba7cfa6f7a87807d770660f76e9fbc307
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/REPORT.md
@@ -0,0 +1,194 @@
+# E1 Trained CIFAR-100 Feature Audit
+
+Status: complete formal 6-gate x 3-seed matrix.
+
+## Frozen Protocol
+
+- Exactly 18 `checkpoint_last.pt` files at fixed epoch 100.
+- `checkpoint_best.pt` is excluded to avoid CIFAR-100 test-selection leakage.
+- Every run uses the same 10,000 ordered test samples; index hash `e393d61f0732b6bc8eeb99e1e9877ab128e6f0d747e946df4336f07d9364cd38`.
+- Butterworth order 4, cutoffs 0, 0.125, 0.25, 0.5, 0.75, and identity endpoint 1.
+
+## Frequency-Accuracy AUC
+
+| Gate | Seeds | Identity Top-1 | Top-1 AUC |
+|---|---:|---:|---:|
+| gelu_self | 3 | 57.04 +/- 0.474658 | 43.5246 +/- 0.327513 |
+| identity | 3 | 56.9067 +/- 0.734325 | 43.1623 +/- 0.473477 |
+| no_gate | 3 | 43.0667 +/- 0.308923 | 32.7606 +/- 0.14498 |
+| relu6_self | 3 | 57.0667 +/- 1.61856 | 43.1742 +/- 1.2365 |
+| relu_self | 3 | 57.5333 +/- 0.965729 | 43.416 +/- 0.362802 |
+| smooth_clipped_self | 3 | 57.15 +/- 1.44406 | 43.3798 +/- 0.764532 |
+
+## Accuracy Curve
+
+| Gate | Cutoff | Top-1 | Top-5 |
+|---|---:|---:|---:|
+| gelu_self | 0.0 | 1.67667 +/- 0.210792 | 7.87 +/- 0.777367 |
+| gelu_self | 0.125 | 13.91 +/- 0.52 | 32.13 +/- 0.663023 |
+| gelu_self | 0.25 | 34.9967 +/- 1.40607 | 60.96 +/- 1.30296 |
+| gelu_self | 0.5 | 55.0533 +/- 0.228108 | 79.6 +/- 0.182483 |
+| gelu_self | 0.75 | 56.9033 +/- 0.509346 | 81.0767 +/- 0.391067 |
+| gelu_self | 1.0 | 57.04 +/- 0.474658 | 81.1567 +/- 0.416813 |
+| identity | 0.0 | 1.71667 +/- 0.442757 | 7.62667 +/- 0.650103 |
+| identity | 0.125 | 12.66 +/- 0.584123 | 29.9367 +/- 0.791981 |
+| identity | 0.25 | 34.5067 +/- 0.306159 | 60.47 +/- 0.401497 |
+| identity | 0.5 | 54.7333 +/- 0.804322 | 79.7633 +/- 0.456545 |
+| identity | 0.75 | 56.8233 +/- 0.721411 | 81.1433 +/- 0.44658 |
+| identity | 1.0 | 56.9067 +/- 0.734325 | 81.21 +/- 0.481352 |
+| no_gate | 0.0 | 1.39333 +/- 0.221886 | 10.5967 +/- 0.0305505 |
+| no_gate | 0.125 | 15 +/- 0.314802 | 36.7333 +/- 0.360185 |
+| no_gate | 0.25 | 24.4767 +/- 0.453248 | 50.7 +/- 0.340441 |
+| no_gate | 0.5 | 40.4633 +/- 0.0986577 | 70.0733 +/- 0.0152753 |
+| no_gate | 0.75 | 42.84 +/- 0.311929 | 72.44 +/- 0.315119 |
+| no_gate | 1.0 | 43.0667 +/- 0.308923 | 72.58 +/- 0.29 |
+| relu6_self | 0.0 | 1.82333 +/- 0.0416333 | 8.23667 +/- 0.612726 |
+| relu6_self | 0.125 | 12.2667 +/- 0.558241 | 29.7133 +/- 0.523864 |
+| relu6_self | 0.25 | 34.3167 +/- 1.77094 | 60.8033 +/- 1.91756 |
+| relu6_self | 0.5 | 54.9 +/- 1.39072 | 80.4133 +/- 0.986729 |
+| relu6_self | 0.75 | 56.9367 +/- 1.60724 | 81.8733 +/- 0.957096 |
+| relu6_self | 1.0 | 57.0667 +/- 1.61856 | 81.9167 +/- 0.935432 |
+| relu_self | 0.0 | 1.48 +/- 0.0519615 | 7.77 +/- 0.28 |
+| relu_self | 0.125 | 12.7 +/- 0.3005 | 30.8367 +/- 0.960902 |
+| relu_self | 0.25 | 33.6233 +/- 0.803264 | 60.43 +/- 0.419047 |
+| relu_self | 0.5 | 55.51 +/- 0.497293 | 81.0567 +/- 0.392726 |
+| relu_self | 0.75 | 57.45 +/- 1.0095 | 82.5667 +/- 0.382143 |
+| relu_self | 1.0 | 57.5333 +/- 0.965729 | 82.6733 +/- 0.356978 |
+| smooth_clipped_self | 0.0 | 1.71 +/- 0.160935 | 7.86333 +/- 0.306649 |
+| smooth_clipped_self | 0.125 | 12.72 +/- 1.43377 | 30.3967 +/- 2.46812 |
+| smooth_clipped_self | 0.25 | 34.7867 +/- 0.273008 | 61.3467 +/- 0.338575 |
+| smooth_clipped_self | 0.5 | 55.0433 +/- 1.25516 | 80.8567 +/- 0.637913 |
+| smooth_clipped_self | 0.75 | 57.0233 +/- 1.35648 | 82.2133 +/- 0.455009 |
+| smooth_clipped_self | 1.0 | 57.15 +/- 1.44406 | 82.2933 +/- 0.529748 |
+
+## Identity-Input Feature PSD
+
+| Gate | Layer | Size | Centroid | High/low | Entropy |
+|---|---|---|---:|---:|---:|
+| gelu_self | input | 32x32 | 0.126286 | 0.0253251 | 0.576297 |
+| gelu_self | stage1 | 8x8 | 0.31174 | 0.221731 | 0.693987 |
+| gelu_self | stage2 | 4x4 | 0.446954 | 0.537094 | 0.568791 |
+| gelu_self | stage3 | 2x2 | 0.789987 | NA | 0.542176 |
+| gelu_self | stage4 | 1x1 | NA | NA | NA |
+| gelu_self | pre_classifier | 1x1 | NA | NA | NA |
+| identity | input | 32x32 | 0.126286 | 0.0253251 | 0.576297 |
+| identity | stage1 | 8x8 | 0.308302 | 0.203921 | 0.689831 |
+| identity | stage2 | 4x4 | 0.453024 | 0.59963 | 0.591995 |
+| identity | stage3 | 2x2 | 0.778494 | NA | 0.499558 |
+| identity | stage4 | 1x1 | NA | NA | NA |
+| identity | pre_classifier | 1x1 | NA | NA | NA |
+| no_gate | input | 32x32 | 0.126286 | 0.0253251 | 0.576297 |
+| no_gate | stage1 | 8x8 | 0.362828 | 0.415815 | 0.7792 |
+| no_gate | stage2 | 4x4 | 0.488939 | 0.86083 | 0.688396 |
+| no_gate | stage3 | 2x2 | 0.775782 | NA | 0.495683 |
+| no_gate | stage4 | 1x1 | NA | NA | NA |
+| no_gate | pre_classifier | 1x1 | NA | NA | NA |
+| relu6_self | input | 32x32 | 0.126286 | 0.0253251 | 0.576297 |
+| relu6_self | stage1 | 8x8 | 0.303656 | 0.197728 | 0.676901 |
+| relu6_self | stage2 | 4x4 | 0.45412 | 0.591928 | 0.590483 |
+| relu6_self | stage3 | 2x2 | 0.793015 | NA | 0.55056 |
+| relu6_self | stage4 | 1x1 | NA | NA | NA |
+| relu6_self | pre_classifier | 1x1 | NA | NA | NA |
+| relu_self | input | 32x32 | 0.126286 | 0.0253251 | 0.576297 |
+| relu_self | stage1 | 8x8 | 0.300957 | 0.186726 | 0.672499 |
+| relu_self | stage2 | 4x4 | 0.448387 | 0.552181 | 0.574091 |
+| relu_self | stage3 | 2x2 | 0.795018 | NA | 0.556111 |
+| relu_self | stage4 | 1x1 | NA | NA | NA |
+| relu_self | pre_classifier | 1x1 | NA | NA | NA |
+| smooth_clipped_self | input | 32x32 | 0.126286 | 0.0253251 | 0.576297 |
+| smooth_clipped_self | stage1 | 8x8 | 0.301045 | 0.187613 | 0.670554 |
+| smooth_clipped_self | stage2 | 4x4 | 0.449272 | 0.562829 | 0.574149 |
+| smooth_clipped_self | stage3 | 2x2 | 0.79281 | NA | 0.549814 |
+| smooth_clipped_self | stage4 | 1x1 | NA | NA | NA |
+| smooth_clipped_self | pre_classifier | 1x1 | NA | NA | NA |
+
+## Cutoff 0.25 Feature Transfer
+
+| Gate | Layer | Centroid delta | Entropy delta |
+|---|---|---:|---:|
+| gelu_self | input | -0.0393482 | -0.154839 |
+| gelu_self | stage1 | -0.00529682 | -0.0124451 |
+| gelu_self | stage2 | -0.00122154 | -0.00432722 |
+| gelu_self | stage3 | 0.000370816 | 0.00109249 |
+| gelu_self | stage4 | NA | NA |
+| gelu_self | pre_classifier | NA | NA |
+| identity | input | -0.0393482 | -0.154839 |
+| identity | stage1 | -0.00633309 | -0.0150772 |
+| identity | stage2 | -0.000902526 | -0.00295943 |
+| identity | stage3 | 0.0319227 | -0.318292 |
+| identity | stage4 | NA | NA |
+| identity | pre_classifier | NA | NA |
+| no_gate | input | -0.0393482 | -0.154839 |
+| no_gate | stage1 | -0.0128938 | -0.0217263 |
+| no_gate | stage2 | -0.00595234 | -0.0159898 |
+| no_gate | stage3 | -0.00242431 | -0.00907469 |
+| no_gate | stage4 | NA | NA |
+| no_gate | pre_classifier | NA | NA |
+| relu6_self | input | -0.0393482 | -0.154839 |
+| relu6_self | stage1 | -0.00641732 | -0.0152166 |
+| relu6_self | stage2 | -0.00172978 | -0.00542685 |
+| relu6_self | stage3 | -0.000394625 | -0.000996186 |
+| relu6_self | stage4 | NA | NA |
+| relu6_self | pre_classifier | NA | NA |
+| relu_self | input | -0.0393482 | -0.154839 |
+| relu_self | stage1 | -0.0054136 | -0.0130357 |
+| relu_self | stage2 | -0.000585044 | -0.00166278 |
+| relu_self | stage3 | 0.00201187 | 0.00511652 |
+| relu_self | stage4 | NA | NA |
+| relu_self | pre_classifier | NA | NA |
+| smooth_clipped_self | input | -0.0393482 | -0.154839 |
+| smooth_clipped_self | stage1 | -0.0069377 | -0.0173007 |
+| smooth_clipped_self | stage2 | -0.00116242 | -0.00444759 |
+| smooth_clipped_self | stage3 | 0.00147762 | 0.00424477 |
+| smooth_clipped_self | stage4 | NA | NA |
+| smooth_clipped_self | pre_classifier | NA | NA |
+
+## Identity-Input Gate Regions
+
+| Gate | Stage | Negative | Active [0,6) | Above 6 | Clip mean | Actual clip crossing |
+|---|---|---:|---:|---:|---:|---:|
+| gelu_self | stage1 | 0.514026 | 0.485974 | 2.17014e-09 | NA | NA |
+| gelu_self | stage2 | 0.710207 | 0.289793 | 0 | NA | NA |
+| gelu_self | stage3 | 0.633088 | 0.366912 | 0 | NA | NA |
+| gelu_self | stage4 | 0.52144 | 0.47856 | 0 | NA | NA |
+| identity | stage1 | 0.500977 | 0.498975 | 4.727e-05 | NA | NA |
+| identity | stage2 | 0.50451 | 0.49549 | 2.99479e-07 | NA | NA |
+| identity | stage3 | 0.501049 | 0.498947 | 3.21875e-06 | NA | NA |
+| identity | stage4 | 0.502376 | 0.497608 | 1.61979e-05 | NA | NA |
+| no_gate | stage1 | 0.50166 | 0.49834 | 0 | NA | NA |
+| no_gate | stage2 | 0.511161 | 0.488839 | 0 | NA | NA |
+| no_gate | stage3 | 0.5 | 0.5 | 0 | NA | NA |
+| no_gate | stage4 | 0.502083 | 0.497917 | 0 | NA | NA |
+| relu6_self | stage1 | 0.54704 | 0.448658 | 0.00430189 | 6 | 0.00430189 |
+| relu6_self | stage2 | 0.650293 | 0.349706 | 6.46701e-07 | 6 | 6.46701e-07 |
+| relu6_self | stage3 | 0.572158 | 0.427842 | 0 | 6 | 0 |
+| relu6_self | stage4 | 0.509875 | 0.490125 | 0 | 6 | 0 |
+| relu_self | stage1 | 0.530347 | 0.469501 | 0.000151799 | NA | NA |
+| relu_self | stage2 | 0.656495 | 0.343504 | 4.12326e-07 | NA | NA |
+| relu_self | stage3 | 0.559396 | 0.440604 | 0 | NA | NA |
+| relu_self | stage4 | 0.503299 | 0.496701 | 0 | NA | NA |
+| smooth_clipped_self | stage1 | 0.698753 | 0.301167 | 8.06901e-05 | 1.19116 | 0.0563794 |
+| smooth_clipped_self | stage2 | 0.757515 | 0.242485 | 0 | 1.2111 | 0.0051715 |
+| smooth_clipped_self | stage3 | 0.581153 | 0.418847 | 0 | 0.950191 | 0.00313891 |
+| smooth_clipped_self | stage4 | 0.532625 | 0.467375 | 0 | 0.806449 | 0.00486513 |
+
+## Nonfinite Diagnostics
+
+- Nonfinite numeric cells: 36.
+- Affected table observations: 6.
+- Aggregates exclude nonfinite values. If no finite observation remains, the statistic is JSON null and report NA; values are never replaced by zero.
+
+| Table | Gate | Seed | Cutoff | Layer | Nonfinite fields |
+|---|---|---:|---:|---|---|
+| feature_metrics | identity | 0 | 0.125 | stage3 | centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy |
+| feature_metrics | identity | 0 | 0.5 | stage3 | centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy |
+| feature_metrics | identity | 0 | 0.75 | stage3 | centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy |
+| feature_metrics | identity | 1 | 0.25 | stage3 | centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy |
+| feature_metrics | identity | 1 | 0.5 | stage3 | centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy |
+| feature_metrics | identity | 2 | 0.25 | stage3 | centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy |
+
+## Interpretation Limits
+
+- Stage3 is 2x2 and has no non-DC FFT cell below normalized radius 0.5; its high/low ratio is NA.
+- Stage4 and pre_classifier are 1x1, so their spatial PSD values are NA.
+- Frequency-Accuracy AUC measures causal sensitivity to this input filter protocol, not model function frequency.
diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_auc.csv b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_auc.csv
new file mode 100644
index 0000000000000000000000000000000000000000..410b5bea37b1b180912086970259e9ffc95d5436
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_auc.csv
@@ -0,0 +1,19 @@
+gate,seed,frequency_accuracy_auc_top1,frequency_accuracy_auc_top5,identity_top1,identity_top5,dc_top1,cutoff_count
+gelu_self,0,43.85375,66.52687499999999,57.15,81.07,1.91,6
+gelu_self,1,43.198750000000004,65.923125,56.52,80.79,1.5,6
+gelu_self,2,43.521249999999995,66.30562499999999,57.45,81.61,1.62,6
+identity,0,42.615625,65.621875,56.06,80.69,2.07,6
+identity,1,43.4425,66.17999999999999,57.37,81.64,1.22,6
+identity,2,43.428749999999994,66.0025,57.29,81.3,1.86,6
+no_gate,0,32.855625,59.36375,43.24,72.29,1.21,6
+no_gate,1,32.59375,59.48375,42.71,72.58,1.64,6
+no_gate,2,32.832499999999996,59.535625,43.25,72.87,1.33,6
+relu6_self,0,41.796875,65.36375000000001,55.2,80.84,1.81,6
+relu6_self,1,44.18875,67.24000000000001,58.08,82.53,1.79,6
+relu6_self,2,43.536875,66.71875,57.92,82.38,1.87,6
+relu_self,0,43.340625,67.0375,57.16,82.63,1.54,6
+relu_self,1,43.810625,67.10125,58.63,83.05,1.45,6
+relu_self,2,43.096875,66.59375,56.81,82.34,1.45,6
+smooth_clipped_self,0,42.821875,66.82375,55.86,81.85,1.89,6
+smooth_clipped_self,1,43.066250000000004,66.515625,56.88,82.15,1.66,6
+smooth_clipped_self,2,44.25125,67.20375,58.71,82.88,1.58,6
diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_auc_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_auc_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a07f3a0928e034922bec4553be15355fb667adc9
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_auc_summary.csv
@@ -0,0 +1,7 @@
+gate,count,identity_top1_finite_count,identity_top1_nonfinite_count,identity_top1_missing_count,identity_top1_mean,identity_top1_std,identity_top5_finite_count,identity_top5_nonfinite_count,identity_top5_missing_count,identity_top5_mean,identity_top5_std,frequency_accuracy_auc_top1_finite_count,frequency_accuracy_auc_top1_nonfinite_count,frequency_accuracy_auc_top1_missing_count,frequency_accuracy_auc_top1_mean,frequency_accuracy_auc_top1_std,frequency_accuracy_auc_top5_finite_count,frequency_accuracy_auc_top5_nonfinite_count,frequency_accuracy_auc_top5_missing_count,frequency_accuracy_auc_top5_mean,frequency_accuracy_auc_top5_std
+gelu_self,3,3,0,0,57.04,0.4746577714522321,3,0,0,81.15666666666668,0.4168133075290799,3,0,0,43.52458333333334,0.3275127223991938,3,0,0,66.251875,0.30544281379662075
+identity,3,3,0,0,56.906666666666666,0.7343250869562675,3,0,0,81.21,0.4813522618623508,3,0,0,43.16229166666667,0.47347713667962005,3,0,0,65.93479166666667,0.28515643550221775
+no_gate,3,3,0,0,43.06666666666666,0.30892285984260437,3,0,0,72.58,0.28999999999999915,3,0,0,32.760625,0.14497979385072957,3,0,0,59.46104166666667,0.08815897690157977
+relu6_self,3,3,0,0,57.06666666666666,1.6185590299193071,3,0,0,81.91666666666667,0.9354321639399236,3,0,0,43.17416666666667,1.2365009119318646,3,0,0,66.44083333333334,0.9685074965292368
+relu_self,3,3,0,0,57.53333333333333,0.9657294307068288,3,0,0,82.67333333333333,0.35697805721546993,3,0,0,43.41604166666667,0.3628023164663295,3,0,0,66.91083333333333,0.2764460088938368
+smooth_clipped_self,3,3,0,0,57.150000000000006,1.4440567855870494,3,0,0,82.29333333333334,0.5297483679383377,3,0,0,43.37979166666667,0.7645322133228475,3,0,0,66.84770833333334,0.3446875472197002
diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_curve.csv b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_curve.csv
new file mode 100644
index 0000000000000000000000000000000000000000..32cbeb36912cba932e791d835f583b900e5ea07b
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_curve.csv
@@ -0,0 +1,109 @@
+gate,seed,run_name,checkpoint_epochs_completed,cutoff,filter,samples,top1,top5
+gelu_self,0,e3_c100_s1_gelu_seed0,100,0.0,dc_only,10000,1.91,7.94
+gelu_self,0,e3_c100_s1_gelu_seed0,100,0.125,butterworth,10000,14.19,32.59
+gelu_self,0,e3_c100_s1_gelu_seed0,100,0.25,butterworth,10000,36.37,62.39
+gelu_self,0,e3_c100_s1_gelu_seed0,100,0.5,butterworth,10000,55.01,79.39
+gelu_self,0,e3_c100_s1_gelu_seed0,100,0.75,butterworth,10000,56.98,81.11
+gelu_self,0,e3_c100_s1_gelu_seed0,100,1.0,identity,10000,57.15,81.07
+gelu_self,1,e3_c100_s1_gelu_seed1,100,0.0,dc_only,10000,1.5,7.06
+gelu_self,1,e3_c100_s1_gelu_seed1,100,0.125,butterworth,10000,13.31,31.37
+gelu_self,1,e3_c100_s1_gelu_seed1,100,0.25,butterworth,10000,35.06,60.65
+gelu_self,1,e3_c100_s1_gelu_seed1,100,0.5,butterworth,10000,54.85,79.69
+gelu_self,1,e3_c100_s1_gelu_seed1,100,0.75,butterworth,10000,56.36,80.67
+gelu_self,1,e3_c100_s1_gelu_seed1,100,1.0,identity,10000,56.52,80.79
+gelu_self,2,e3_c100_s1_gelu_seed2,100,0.0,dc_only,10000,1.62,8.61
+gelu_self,2,e3_c100_s1_gelu_seed2,100,0.125,butterworth,10000,14.23,32.43
+gelu_self,2,e3_c100_s1_gelu_seed2,100,0.25,butterworth,10000,33.56,59.84
+gelu_self,2,e3_c100_s1_gelu_seed2,100,0.5,butterworth,10000,55.3,79.72
+gelu_self,2,e3_c100_s1_gelu_seed2,100,0.75,butterworth,10000,57.37,81.45
+gelu_self,2,e3_c100_s1_gelu_seed2,100,1.0,identity,10000,57.45,81.61
+identity,0,e3_c100_s1_identity_seed0,100,0.0,dc_only,10000,2.07,8.12
+identity,0,e3_c100_s1_identity_seed0,100,0.125,butterworth,10000,12.58,29.29
+identity,0,e3_c100_s1_identity_seed0,100,0.25,butterworth,10000,34.34,60.65
+identity,0,e3_c100_s1_identity_seed0,100,0.5,butterworth,10000,53.84,79.33
+identity,0,e3_c100_s1_identity_seed0,100,0.75,butterworth,10000,56.03,80.65
+identity,0,e3_c100_s1_identity_seed0,100,1.0,identity,10000,56.06,80.69
+identity,1,e3_c100_s1_identity_seed1,100,0.0,dc_only,10000,1.22,6.89
+identity,1,e3_c100_s1_identity_seed1,100,0.125,butterworth,10000,13.28,30.82
+identity,1,e3_c100_s1_identity_seed1,100,0.25,butterworth,10000,34.32,60.01
+identity,1,e3_c100_s1_identity_seed1,100,0.5,butterworth,10000,54.96,80.24
+identity,1,e3_c100_s1_identity_seed1,100,0.75,butterworth,10000,57.44,81.52
+identity,1,e3_c100_s1_identity_seed1,100,1.0,identity,10000,57.37,81.64
+identity,2,e3_c100_s1_identity_seed2,100,0.0,dc_only,10000,1.86,7.87
+identity,2,e3_c100_s1_identity_seed2,100,0.125,butterworth,10000,12.12,29.7
+identity,2,e3_c100_s1_identity_seed2,100,0.25,butterworth,10000,34.86,60.75
+identity,2,e3_c100_s1_identity_seed2,100,0.5,butterworth,10000,55.4,79.72
+identity,2,e3_c100_s1_identity_seed2,100,0.75,butterworth,10000,57.0,81.26
+identity,2,e3_c100_s1_identity_seed2,100,1.0,identity,10000,57.29,81.3
+no_gate,0,e3_c100_s1_no_gate_seed0,100,0.0,dc_only,10000,1.21,10.63
+no_gate,0,e3_c100_s1_no_gate_seed0,100,0.125,butterworth,10000,14.74,36.32
+no_gate,0,e3_c100_s1_no_gate_seed0,100,0.25,butterworth,10000,25.0,51.07
+no_gate,0,e3_c100_s1_no_gate_seed0,100,0.5,butterworth,10000,40.35,70.07
+no_gate,0,e3_c100_s1_no_gate_seed0,100,0.75,butterworth,10000,43.03,72.12
+no_gate,0,e3_c100_s1_no_gate_seed0,100,1.0,identity,10000,43.24,72.29
+no_gate,1,e3_c100_s1_no_gate_seed1,100,0.0,dc_only,10000,1.64,10.57
+no_gate,1,e3_c100_s1_no_gate_seed1,100,0.125,butterworth,10000,14.91,36.98
+no_gate,1,e3_c100_s1_no_gate_seed1,100,0.25,butterworth,10000,24.22,50.63
+no_gate,1,e3_c100_s1_no_gate_seed1,100,0.5,butterworth,10000,40.51,70.09
+no_gate,1,e3_c100_s1_no_gate_seed1,100,0.75,butterworth,10000,42.48,72.45
+no_gate,1,e3_c100_s1_no_gate_seed1,100,1.0,identity,10000,42.71,72.58
+no_gate,2,e3_c100_s1_no_gate_seed2,100,0.0,dc_only,10000,1.33,10.59
+no_gate,2,e3_c100_s1_no_gate_seed2,100,0.125,butterworth,10000,15.35,36.9
+no_gate,2,e3_c100_s1_no_gate_seed2,100,0.25,butterworth,10000,24.21,50.4
+no_gate,2,e3_c100_s1_no_gate_seed2,100,0.5,butterworth,10000,40.53,70.06
+no_gate,2,e3_c100_s1_no_gate_seed2,100,0.75,butterworth,10000,43.01,72.75
+no_gate,2,e3_c100_s1_no_gate_seed2,100,1.0,identity,10000,43.25,72.87
+relu6_self,0,e3_c100_s1_relu6_seed0,100,0.0,dc_only,10000,1.81,7.66
+relu6_self,0,e3_c100_s1_relu6_seed0,100,0.125,butterworth,10000,11.91,29.23
+relu6_self,0,e3_c100_s1_relu6_seed0,100,0.25,butterworth,10000,33.0,59.26
+relu6_self,0,e3_c100_s1_relu6_seed0,100,0.5,butterworth,10000,53.34,79.29
+relu6_self,0,e3_c100_s1_relu6_seed0,100,0.75,butterworth,10000,55.09,80.77
+relu6_self,0,e3_c100_s1_relu6_seed0,100,1.0,identity,10000,55.2,80.84
+relu6_self,1,e3_c100_s1_relu6_seed1,100,0.0,dc_only,10000,1.79,8.17
+relu6_self,1,e3_c100_s1_relu6_seed1,100,0.125,butterworth,10000,11.98,29.64
+relu6_self,1,e3_c100_s1_relu6_seed1,100,0.25,butterworth,10000,36.33,62.95
+relu6_self,1,e3_c100_s1_relu6_seed1,100,0.5,butterworth,10000,56.01,81.14
+relu6_self,1,e3_c100_s1_relu6_seed1,100,0.75,butterworth,10000,58.02,82.48
+relu6_self,1,e3_c100_s1_relu6_seed1,100,1.0,identity,10000,58.08,82.53
+relu6_self,2,e3_c100_s1_relu6_seed2,100,0.0,dc_only,10000,1.87,8.88
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cb12a21ef895f3b10e24cc314e4b541dcb027da6
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/accuracy_summary.csv
@@ -0,0 +1,37 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/checkpoint_manifest.csv b/gmnet/conclusions/local_results/20260712/e1_trained/checkpoint_manifest.csv
new file mode 100644
index 0000000000000000000000000000000000000000..dd58da8b4defb0ad3309ecde974552c771e20800
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/checkpoint_manifest.csv
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/feature_metrics.csv b/gmnet/conclusions/local_results/20260712/e1_trained/feature_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2da669697950c423356423389fe5ce1ee1f7368a
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/feature_metrics.csv
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/feature_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/feature_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..56e9a5760eeb88083c5ed13d81914712fb9f3d8b
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/feature_summary.csv
@@ -0,0 +1,37 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/feature_transfer_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/feature_transfer_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..f5dbd824e11cb9f236006b3f74748ccac2804a13
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/feature_transfer_summary.csv
@@ -0,0 +1,37 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/gate_regions.csv b/gmnet/conclusions/local_results/20260712/e1_trained/gate_regions.csv
new file mode 100644
index 0000000000000000000000000000000000000000..de717acb984415495d0a29ec1c791f8a6295857a
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/gate_regions.csv
@@ -0,0 +1,1729 @@
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/gate_seed_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/gate_seed_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a62ea7ad1fe8f16dbb4d0d8b6e8c5949597e8f42
--- /dev/null
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/gate_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/gate_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..17d47ada7b0c303115b92845f0e01652789ae020
--- /dev/null
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/nonfinite_cells.csv b/gmnet/conclusions/local_results/20260712/e1_trained/nonfinite_cells.csv
new file mode 100644
index 0000000000000000000000000000000000000000..bd947d4da4efc18a2f9ad6be067e0e653329399d
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/nonfinite_cells.csv
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diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/nonfinite_summary.csv b/gmnet/conclusions/local_results/20260712/e1_trained/nonfinite_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c56bfb0232fbeae88b739ea3e271fe07202a6d3f
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/nonfinite_summary.csv
@@ -0,0 +1,7 @@
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+feature_metrics,identity,0,0.75,stage3,6,centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy
+feature_metrics,identity,1,0.25,stage3,6,centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy
+feature_metrics,identity,1,0.5,stage3,6,centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy
+feature_metrics,identity,2,0.25,stage3,6,centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy
diff --git a/gmnet/conclusions/local_results/20260712/e1_trained/results.json b/gmnet/conclusions/local_results/20260712/e1_trained/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..910b2ac572a1de99fab3df85397b1da6c1ef01fd
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e1_trained/results.json
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+    "affected_observation_count": 6,
+    "handling": "Excluded from aggregate statistics; all-nonfinite aggregates are null, never zero.",
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+        "nonfinite_metrics": "centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy"
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+      },
+      {
+        "table": "feature_metrics",
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+        "nonfinite_metrics": "centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy"
+      },
+      {
+        "table": "feature_metrics",
+        "gate": "identity",
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+        "layer": "stage3",
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+        "nonfinite_metrics": "centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy"
+      },
+      {
+        "table": "feature_metrics",
+        "gate": "identity",
+        "seed": 1,
+        "cutoff": 0.5,
+        "layer": "stage3",
+        "nonfinite_field_count": 6,
+        "nonfinite_metrics": "centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy"
+      },
+      {
+        "table": "feature_metrics",
+        "gate": "identity",
+        "seed": 2,
+        "cutoff": 0.25,
+        "layer": "stage3",
+        "nonfinite_field_count": 6,
+        "nonfinite_metrics": "centroid_delta_vs_identity;high_energy_fraction;low_energy_fraction;mean_energy_per_map;spectral_centroid;total_energy"
+      }
+    ]
+  }
+}
diff --git a/gmnet/conclusions/local_results/20260712/e4_cifar100/AGGREGATE.md b/gmnet/conclusions/local_results/20260712/e4_cifar100/AGGREGATE.md
new file mode 100644
index 0000000000000000000000000000000000000000..76338230ddddddd195e6273b122cd4fd10f0b8b5
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e4_cifar100/AGGREGATE.md
@@ -0,0 +1,13 @@
+# E4 Three-Seed Aggregate
+
+Frozen-weight interventions on the full CIFAR-100 test set. Values are mean +/- sample standard deviation across seed checkpoints.
+
+| Mode | Top-1 (%) | Top-5 (%) | NLL | ECE (%) |
+|---|---:|---:|---:|---:|
+| baseline | 57.073 +/- 1.624 | 81.917 +/- 0.935 | 2.1970 +/- 0.1071 | 21.431 +/- 0.929 |
+| batch_shuffle | 2.017 +/- 0.186 | 8.850 +/- 0.847 | 31.1469 +/- 8.3466 | 83.728 +/- 1.967 |
+| channel_shuffle | 2.173 +/- 0.207 | 8.930 +/- 0.646 | 19.8468 +/- 2.1090 | 74.511 +/- 1.450 |
+| mean_gate | 3.007 +/- 0.811 | 13.123 +/- 1.517 | 13.0528 +/- 1.8467 | 65.728 +/- 12.719 |
+| spatial_shuffle | 2.520 +/- 1.018 | 10.010 +/- 2.833 | 48.2429 +/- 19.5383 | 84.070 +/- 6.033 |
+
+This is a frozen-checkpoint diagnostic, not matched retraining.
diff --git a/gmnet/conclusions/local_results/20260712/e4_cifar100/aggregate.json b/gmnet/conclusions/local_results/20260712/e4_cifar100/aggregate.json
new file mode 100644
index 0000000000000000000000000000000000000000..e394e7f1b1b1952a345d2313b045850087c67e18
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e4_cifar100/aggregate.json
@@ -0,0 +1,330 @@
+{
+  "checkpoint_sha256": [
+    "6280c3e8abfa6205e8f6b508d53b8da3b840a2b8840ffc77bf454f321c0af9d0",
+    "c6b42f576259739c1acae028948768bd9cb7a5d2dee8c4c198d2bd175d659a69",
+    "9f07063f79aa3f631c30709553451d417beed5445e627c2d5fdebc3c304a7fdf"
+  ],
+  "claim_scope": "Frozen-checkpoint forward intervention only. Accuracy differences do not establish matched-retraining causality.",
+  "data": {
+    "class_count": 100,
+    "dataset": "cifar100",
+    "evaluated_samples": 10000,
+    "full_validation_samples": 10000,
+    "preprocess": "tensor_cifar100_paper_normalization",
+    "provenance": {
+      "access_mode": "direct_path",
+      "access_path": "/tmp/gmnet_data/cifar-100",
+      "source_uri": "/tmp/gmnet_data/cifar-100"
+    },
+    "root": "/tmp/gmnet_data/cifar-100",
+    "subset_indices_sha256": "1899ec16689e0477ac35484f5cacefc22e284a929c103400ef4f1638739aba08",
+    "subset_method": "full_validation_set_in_canonical_order",
+    "subset_seed": 0
+  },
+  "experiment": "E4",
+  "interventions": {
+    "baseline": {
+      "ece_percent": {
+        "count": 3,
+        "max": 22.35491140365601,
+        "mean": 21.43143003496031,
+        "median": 21.44320706360042,
+        "min": 20.4961716376245,
+        "sample_std": 0.9294258460250674
+      },
+      "logit_rmse_from_baseline": {
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+        "max": 0.0,
+        "mean": 0.0,
+        "median": 0.0,
+        "min": 0.0,
+        "sample_std": 0.0
+      },
+      "mean_kl_from_baseline": {
+        "count": 3,
+        "max": 2.7299110954004393e-10,
+        "mean": 9.099703651334798e-11,
+        "median": 0.0,
+        "min": 0.0,
+        "sample_std": 1.5761149057931897e-10
+      },
+      "nll": {
+        "count": 3,
+        "max": 2.3201967571258546,
+        "mean": 2.1970030356089274,
+        "median": 2.144774852371216,
+        "min": 2.126037497329712,
+        "sample_std": 0.10709944857178538
+      },
+      "prediction_agreement_with_baseline_percent": {
+        "count": 3,
+        "max": 100.0,
+        "mean": 100.0,
+        "median": 100.0,
+        "min": 100.0,
+        "sample_std": 0.0
+      },
+      "top1_percent": {
+        "count": 3,
+        "max": 58.09,
+        "mean": 57.07333333333333,
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+    "/tmp/gmnet_runs/e4_cifar100_relu6_official/seed1/results.json",
+    "/tmp/gmnet_runs/e4_cifar100_relu6_official/seed2/results.json"
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+}
diff --git a/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/e6_metrics.csv b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/e6_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..437b5fc2a7beebddd1243268fda4d6d139709161
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/e6_metrics.csv
@@ -0,0 +1 @@
+condition,samples,top1,top5,nll,ece
diff --git a/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/e8_metrics.csv b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/e8_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..218ba07bfe74d64b2ed3fcee3d994cb899adffd7
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/e8_metrics.csv
@@ -0,0 +1,7 @@
+condition,samples,top1,top5,nll,ece
+clean,1000,77.2,94.1,1.0859487056732178,16.648103338852525
+pgd_linf,1000,0.0,0.0,35.463584899902344,91.92493071444335
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+pgd_band_high,1000,0.0,0.0,31.903894424438477,91.4560706783086
+worst_band,1000,0.0,0.0,34.70122146606445,92.6302170559764
diff --git a/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/results.json b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..15a5c2e83fccee51635b9b614ace279474e74b6e
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/results.json
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+{
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+}
diff --git a/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/run.log b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/run.log
new file mode 100644
index 0000000000000000000000000000000000000000..275d15fd387abdc4106a9f5718f03c807e7de883
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/run.log
@@ -0,0 +1,7 @@
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+E8 pgd_linf {"ece": 91.92493071444335, "nll": 35.463584899902344, "samples": 1000, "top1": 0.0, "top5": 0.0}
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+E8 pgd_band_mid {"ece": 91.00427110753954, "nll": 30.186555862426758, "samples": 1000, "top1": 0.0, "top5": 0.0}
+E8 pgd_band_high {"ece": 91.4560706783086, "nll": 31.903894424438477, "samples": 1000, "top1": 0.0, "top5": 0.0}
+E8 worst_band {"ece": 92.6302170559764, "nll": 34.70122146606445, "samples": 1000, "top1": 0.0, "top5": 0.0}
+/tmp/gmnet_runs/e6_e8_imagenet_partial/e8
diff --git a/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/subset_manifest.csv b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/subset_manifest.csv
new file mode 100644
index 0000000000000000000000000000000000000000..24b364b840f55b4064d6f1e9f5621ef7b385fa46
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/e8_imagenet_partial/subset_manifest.csv
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diff --git a/gmnet/conclusions/local_results/20260712/legacy_imagenet_clean/RESULTS.md b/gmnet/conclusions/local_results/20260712/legacy_imagenet_clean/RESULTS.md
new file mode 100644
index 0000000000000000000000000000000000000000..b723314456951c376658ac229e0f1572667b04d2
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/legacy_imagenet_clean/RESULTS.md
@@ -0,0 +1,17 @@
+# E4 Frozen Gate Intervention Audit
+
+## Scope
+
+- Checkpoint: `/nfs/ywang29/GmNet/gmnet_s3.npy` (`ed974e2e8ffe7f96c51187f08a519478ab345c7f3972efea768e445ef13f7377`).
+- Selected topology: `historical_full_bn_topology`.
+- Data: deterministic random 50000-image subset of 50000 imagenet validation images.
+- Data source: `s3://snap-research-cv-code/ywang29/datasets/imagenet-1k/val` via `local_staging_cache` at `/tmp/gmnet_data/imagenet-1k-val/val`.
+- This is a frozen-checkpoint sensitivity diagnostic. It is not a matched-retraining causal accuracy result.
+
+## Results
+
+| Intervention | Top-1 (%) | Top-5 (%) | NLL | ECE (%) | Baseline agreement (%) | KL from baseline | Reference Pearson |
+|---|---:|---:|---:|---:|---:|---:|---:|
+| baseline | 76.292 | 93.222 | 1.11211 | 15.836 | 100.000 | 0.000000 | 1.0 |
+
+`stop_gradient` is intentionally excluded: it is forward-identical during inference and can only be evaluated through retraining. `mean_gate` uses the per-channel mean gate value over batch and spatial dimensions at every block.
diff --git a/gmnet/conclusions/local_results/20260712/legacy_imagenet_clean/results.json b/gmnet/conclusions/local_results/20260712/legacy_imagenet_clean/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..02279805dd71c7a4b45127057c23a1e4f3ccd19b
--- /dev/null
+++ b/gmnet/conclusions/local_results/20260712/legacy_imagenet_clean/results.json
@@ -0,0 +1,191 @@
+{
+  "checkpoint": {
+    "claim_boundary": "The checkpoint is not compatible with the frozen paper-default topology. It is used only with the exactly matching historical full-BN topology.",
+    "compat_model_kwargs": {
+      "f12_bn": true,
+      "projection_bn": true,
+      "second_dw_bn": true
+    },
+    "format": "numpy_object_state_dict",
+    "historical_full_bn_topology": {
+      "checkpoint_key_count": 535,
+      "missing_key_count": 0,
+      "missing_key_sample": [],
+      "model_key_count": 535,
+      "shape_mismatch_count": 0,
+      "shape_mismatch_sample": [],
+      "strict_compatible": true,
+      "unexpected_key_count": 0,
+      "unexpected_key_sample": []
+    },
+    "paper_default_topology": {
+      "checkpoint_key_count": 535,
+      "missing_key_count": 0,
+      "missing_key_sample": [],
+      "model_key_count": 365,
+      "shape_mismatch_count": 0,
+      "shape_mismatch_sample": [],
+      "strict_compatible": false,
+      "unexpected_key_count": 170,
+      "unexpected_key_sample": [
+        "stages.0.1.dwconv2.bn.bias",
+        "stages.0.1.dwconv2.bn.num_batches_tracked",
+        "stages.0.1.dwconv2.bn.running_mean",
+        "stages.0.1.dwconv2.bn.running_var",
+        "stages.0.1.dwconv2.bn.weight",
+        "stages.0.1.f1.bn.bias",
+        "stages.0.1.f1.bn.num_batches_tracked",
+        "stages.0.1.f1.bn.running_mean",
+        "stages.0.1.f1.bn.running_var",
+        "stages.0.1.f1.bn.weight"
+      ]
+    },
+    "parameter_count": 7822744,
+    "path": "/nfs/ywang29/GmNet/gmnet_s3.npy",
+    "selected_topology": "historical_full_bn_topology",
+    "sha256": "ed974e2e8ffe7f96c51187f08a519478ab345c7f3972efea768e445ef13f7377"
+  },
+  "claim_scope": "Frozen-checkpoint forward intervention only. Accuracy differences do not establish matched-retraining causality.",
+  "data": {
+    "class_count": 1000,
+    "dataset": "imagenet",
+    "evaluated_samples": 50000,
+    "full_validation_samples": 50000,
+    "preprocess": "resize256_bicubic_centercrop224_imagenet_normalization",
+    "provenance": {
+      "access_mode": "local_staging_cache",
+      "access_path": "/tmp/gmnet_data/imagenet-1k-val/val",
+      "source_uri": "s3://snap-research-cv-code/ywang29/datasets/imagenet-1k/val",
+      "staging_manifest": {
+        "classes": 1000,
+        "images": 50000,
+        "method": "tar_plus_s3_class_mapping",
+        "source": "/s3-code/ywang29/datasets/imagenet-1k/val"
+      },
+      "staging_manifest_path": "/tmp/gmnet_data/imagenet-1k-val/.READY",
+      "staging_manifest_sha256": "033454c11cbd7d7454eb93e18794648ae2cd8849d66fc841a2c866832fde927b"
+    },
+    "root": "/tmp/gmnet_data/imagenet-1k-val/val",
+    "subset_indices_sha256": "20d955083da5e4d754ae1b14007c11708069624d60d6177d37831503bd7fc543",
+    "subset_method": "full_validation_set_in_canonical_order",
+    "subset_seed": 20260712
+  },
+  "device": "cuda:0",
+  "elapsed_seconds": 27.856019735336304,
+  "experiment": "E4",
+  "installed_gate_count": 17,
+  "intervention_definitions": {
+    "batch_shuffle": "fixed seeded batch permutation per gate block",
+    "channel_shuffle": "fixed seeded channel permutation per gate block",
+    "mean_gate": "per-channel gate-value mean over batch and spatial dimensions",
+    "spatial_shuffle": "fixed seeded spatial permutation per gate block",
+    "stop_gradient": "training-only; deliberately not evaluated"
+  },
+  "intervention_scope": "all_self_gate_blocks_jointly",
+  "interventions": {
+    "baseline": {
+      "ece_percent": 15.836061141088607,
+      "intervention_reference_coherence": {
+        "mean_gate_input_pearson": 1.0,
+        "measured_gate_count": 17,
+        "per_gate": [
+          {
+            "gate_index": 0,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 1,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 2,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 3,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 4,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 5,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 6,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 7,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 8,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 9,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 10,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 11,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 12,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 13,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 14,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 15,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          },
+          {
+            "gate_index": 16,
+            "pearson": 1.0,
+            "sampled_values": 65536
+          }
+        ]
+      },
+      "logit_rmse_from_baseline": 0.0,
+      "mean_kl_from_baseline": 0.0,
+      "nll": 1.1121102255249022,
+      "prediction_agreement_with_baseline_percent": 100.0,
+      "samples": 50000,
+      "top1_percent": 76.292,
+      "top5_percent": 93.222
+    }
+  },
+  "schema_version": 1,
+  "status": "completed_frozen_checkpoint_diagnostic",
+  "torch_version": "2.9.0+cu130"
+}
\ No newline at end of file
diff --git a/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/REPORT.md b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/REPORT.md
new file mode 100644
index 0000000000000000000000000000000000000000..f1af7fb4f02dd09f78ec5b1f006c2eed2829fa96
--- /dev/null
+++ b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/REPORT.md
@@ -0,0 +1,97 @@
+# GmNet ImageNet Mechanism Evidence
+
+Frozen on 2026-07-18 after certificate-validated fixed-last evaluation.
+All mechanism comparisons are seed-0 descriptive effect sizes.
+
+## Artifact Acceptance
+
+All listed runs have a COMPLETE marker, a passed official certificate,
+50,000 validation samples, a fixed-final checkpoint, finite metrics, and
+complete step accounting. Mechanism arms use 8 GPUs, 300 epochs, and
+187,500 optimizer steps.
+
+## Mechanism Panel
+
+| Arm | Top-1 | Delta | Top-5 | Delta | NLL | ECE |
+|---|---:|---:|---:|---:|---:|---:|
+| B: Current-code ReLU6 baseline | 78.798 | 0.000 | 94.400 | 0.000 | 1.064004 | 19.735691 |
+| H: Historical paper-recipe ReLU6 | 78.746 | -0.052 | 94.380 | -0.020 | 1.081215 | 20.657784 |
+| S: Stop-gradient | 76.774 | -2.024 | 93.358 | -1.042 | 1.138777 | 18.896074 |
+| C: Channel derangement | 77.794 | -1.004 | 93.906 | -0.494 | 1.120781 | 20.019571 |
+| D: Batch derangement | 54.362 | -24.436 | 77.340 | -17.060 | 2.326874 | 20.164200 |
+| SC: Stop-gradient + channel derangement | 69.508 | -9.290 | 88.894 | -5.506 | 1.501795 | 18.994035 |
+
+The current-code baseline differs from the historical baseline by +0.052 Top-1 points.
+
+## Descriptive Combined Interaction
+
+The raw-scale definition is `prediction = S + C - B` and `interaction = SC - prediction`.
+
+| Metric | Additive prediction | Observed SC | Interaction |
+|---|---:|---:|---:|
+| top1 | 75.770000 | 69.508000 | -6.262000 |
+| top5 | 92.864000 | 88.894000 | -3.970000 |
+| nll | 1.195555 | 1.501795 | 0.306240 |
+| ece | 19.179954 | 18.994035 | -0.185919 |
+
+Top-1 interaction is descriptive, not a population-level factorial test.
+
+## Gate Operating Regime
+
+Coherence is the mean of 17 block-level Pearson proxies computed on the
+first canonical validation sample. Region fractions are element-weighted
+over all 50,000 validation images.
+
+| Arm | Coherence proxy | Negative | Active [0,6) | Clip crossing |
+|---|---:|---:|---:|---:|
+| B | 1.0000 | 58.630% | 40.698% | 0.6725% |
+| S | 1.0000 | 62.649% | 37.340% | 0.0105% |
+| C | 0.1304 | 52.064% | 47.761% | 0.1754% |
+| D | 0.7627 | 81.001% | 16.378% | 2.6213% |
+| SC | -0.0007 | 50.847% | 48.465% | 0.6883% |
+
+Batch derangement learns a high cross-sample coherence proxy but shifts
+most values into the negative region and remains 24.436 Top-1 points
+below baseline. This is partial adaptation to shared/marginal gate
+statistics, not preservation of same-sample modulation.
+
+Channel derangement alone retains 77.794 Top-1 and develops increasing
+deep-stage coherence. The combined arm uses the identical channel
+permutation, keeps coherence near zero, and falls to 69.508. This supports
+the gate-gradient path as part of adaptation to a fixed mismatch.
+
+## Gate Shape And Clipping Context
+
+| Arm | Top-1 | Delta vs H | Top-5 | NLL | ECE |
+|---|---:|---:|---:|---:|---:|
+| H: Historical paper-recipe ReLU6 | 78.746 | 0.000 | 94.380 | 1.081215 | 20.657784 |
+| RELU: ReLU self-gate | 78.568 | -0.178 | 94.360 | 1.076494 | 20.249924 |
+| GELU: GELU self-gate | 78.664 | -0.082 | 94.346 | 1.078274 | 20.152088 |
+| LS: Learned smooth cap | 78.670 | -0.076 | 94.440 | 1.067423 | 19.791915 |
+| F6: Fixed smooth cap c=6 | 78.798 | 0.052 | 94.328 | 1.083846 | 20.786922 |
+| A: ReLU6 only (no self-multiplication) | 78.122 | -0.624 | 94.012 | 1.133459 | 21.133415 |
+| N: No complete gated operator | 14.376 | -64.370 | 30.154 | 5.090746 | 9.589707 |
+| R: Release-paper-BN recipe audit | 79.158 | 0.412 | 94.500 | 1.040718 | 18.908918 |
+
+ReLU, GELU, learned smooth, and fixed-c6 variants remain close to the
+historical ReLU6 result at seed 0. Clip-crossing frequency is not monotonic
+with accuracy. Clipping is therefore supported as an operating-range and
+spectral-spill control, not as a uniquely accuracy-improving activation.
+The release-paper-BN row is a different 310-epoch recipe and is context only.
+
+## Frozen Claim
+
+> GmNet does not benefit from indiscriminate high-frequency amplification.
+> Its self-gate performs input-conditioned multiplicative spectral mixing,
+> whose task value depends on sample-conditioned carrier-gate coupling and
+> an optimizable gate-gradient path. Exact channel correspondence is helpful
+> but adaptable. Clipping bounds the operating range and spectral spill
+> rather than uniquely determining clean accuracy.
+
+## Claim Boundaries
+
+- These are independently trained single-seed effect sizes; no significance, equivalence, or population-level interaction is claimed.
+- Batch derangement changes the forward donor, cross-sample gradients, and batch/order dependence. It is not a pure forward-alignment intervention.
+- Coherence is a one-sample-per-block proxy, not a full-dataset semantic-alignment measure or a causal mediator.
+- Historical B/S/C launch-time provenance is not identical to the current batch, although certificates pass and B reproduces H within 0.052 points.
+- Accuracy and gate-region diagnostics alone do not establish that total spectral mixing is matched across arms; a common post-hoc spectral audit is reported separately when available.
diff --git a/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/gate_diagnostics_by_block.csv b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/gate_diagnostics_by_block.csv
new file mode 100644
index 0000000000000000000000000000000000000000..06237eba2a6435aa49f4c146054fe151a3f652de
--- /dev/null
+++ b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/gate_diagnostics_by_block.csv
@@ -0,0 +1,86 @@
+key,stage,block,global_block_index,module,mode,coherence_pearson_proxy,element_count,negative_fraction,active_0_to_6_fraction,clip_crossing_fraction,permutation_sha256
+B,1,1,0,stages.0.1.gate,baseline,0.9999999999999992,30105600000,0.41251207715508076,0.5842975615167942,0.003190361328125,
+B,1,2,1,stages.0.2.gate,baseline,0.9999999999999996,30105600000,0.42733069511984484,0.5357260435932185,0.03694326128693665,
+B,1,3,2,stages.0.3.gate,baseline,1.0000000000000016,30105600000,0.5322264951371174,0.4666478579068346,0.0011256469560480442,
+B,2,1,3,stages.1.1.gate,baseline,0.9999999999999979,15052800000,0.5376662824192177,0.45388963448660713,0.008444083094175171,
+B,2,2,4,stages.1.2.gate,baseline,0.9999999999999992,15052800000,0.5012783500079719,0.4983975770620748,0.0003240729299532313,
+B,2,3,5,stages.1.3.gate,baseline,0.9999999999999992,15052800000,0.587580219361182,0.4122986307530825,0.00012114988573554422,
+B,3,1,6,stages.2.1.gate,baseline,0.9999999999999989,7526400000,0.7117262049585459,0.2877631238042092,0.000510671237244898,
+B,3,2,7,stages.2.2.gate,baseline,1.0000000000000009,7526400000,0.6699334646045918,0.3298126339285714,0.0002539014668367347,
+B,3,3,8,stages.2.3.gate,baseline,1.0,7526400000,0.7478613853900935,0.2515649735597364,0.000573641050170068,
+B,3,4,9,stages.2.4.gate,baseline,0.9999999999999969,7526400000,0.6992166770301871,0.3003400156781463,0.00044330729166666667,
+B,3,5,10,stages.2.5.gate,baseline,0.9999999999999996,7526400000,0.8139849274553571,0.18600834648703232,6.726057610544218e-06,
+B,3,6,11,stages.2.6.gate,baseline,0.9999999999999983,7526400000,0.8190982110969388,0.18083981199511054,6.197690795068027e-05,
+B,3,7,12,stages.2.7.gate,baseline,0.9999999999999981,7526400000,0.7089515589126275,0.291047068053784,1.3730335884353742e-06,
+B,3,8,13,stages.2.8.gate,baseline,1.000000000000001,7526400000,0.9282924419377125,0.07166477226828231,4.278579400510204e-05,
+B,4,1,14,stages.3.1.gate,baseline,0.9999999999999986,3763200000,0.9132080609587585,0.08674125956632653,5.067947491496599e-05,
+B,4,2,15,stages.3.2.gate,baseline,0.9999999999999977,3763200000,0.8511207918792517,0.14887308328018709,6.124840561224489e-06,
+B,4,3,16,stages.3.3.gate,baseline,0.999999999999998,3763200000,0.8012047661564626,0.1983898968962585,0.00040533694727891157,
+S,1,1,0,stages.0.1.gate,stop_gradient,1.0000000000000007,30105600000,0.46938552814094386,0.5306078670413478,6.604817708333333e-06,
+S,1,2,1,stages.0.2.gate,stop_gradient,1.000000000000001,30105600000,0.3956711450361395,0.6043232074763499,5.647487510629252e-06,
+S,1,3,2,stages.0.3.gate,stop_gradient,1.0000000000000004,30105600000,0.5443608611354698,0.455621610198767,1.752866576318027e-05,
+S,2,1,3,stages.1.1.gate,stop_gradient,1.0000000000000002,15052800000,0.5566074255288053,0.44317833386479594,0.0002142406063988095,
+S,2,2,4,stages.1.2.gate,stop_gradient,1.0000000000000004,15052800000,0.5113136536724064,0.4881863954214498,0.0004999509061437075,
+S,2,3,5,stages.1.3.gate,stop_gradient,0.9999999999999988,15052800000,0.7022370143760629,0.2976906293181335,7.235630580357143e-05,
+S,3,1,6,stages.2.1.gate,stop_gradient,1.000000000000001,7526400000,0.7565749584130527,0.24325099144345239,0.00017405014349489796,
+S,3,2,7,stages.2.2.gate,stop_gradient,1.0,7526400000,0.7311949520355017,0.26848855761054424,0.00031649035395408165,
+S,3,3,8,stages.2.3.gate,stop_gradient,1.000000000000002,7526400000,0.8366128045280612,0.16332280226934523,6.439320259353741e-05,
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+S,3,8,13,stages.2.8.gate,stop_gradient,1.0000000000000018,7526400000,0.9073595101243622,0.09262584422831632,1.464564732142857e-05,
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+C,1,1,0,stages.0.1.gate,channel_derangement,0.1718092552570015,30105600000,0.45490829427083335,0.5414104271298363,0.003681278599330357,81c39f5e5d80eb8ecee0defe76443012e14e1ff393ed1b75803e7f4076f3cd2c
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+C,2,3,5,stages.1.3.gate,channel_derangement,0.02908515835295709,15052800000,0.41153122747927295,0.5884513086601828,1.7463860544217687e-05,3e1893ed17aef0fe295951867d2bd952afde8bb62f9ce8db80f50580f3de6699
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+D,2,2,4,stages.1.2.gate,batch_derangement,0.8911817900726257,15052800000,0.9266683801684736,0.026479533508715986,0.04685208632281038,
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+SC,3,7,12,stages.2.7.gate,stop_gradient_channel_derangement,-0.010437633567624918,7526400000,0.5007327748990221,0.48601661352040815,0.013250611580569728,5d827b1b3884b67cea799768b01f6bbad09a2b19cf470a41e3ecc85efaa5631a
+SC,3,8,13,stages.2.8.gate,stop_gradient_channel_derangement,-0.003969508832869456,7526400000,0.49680584834715136,0.4926560477784864,0.010538103874362244,9b43e24d6c96f03f20a7c7797efb1d8ee3e3dc96ddef00084f7873fec012263a
+SC,4,1,14,stages.3.1.gate,stop_gradient_channel_derangement,-0.006667383020084236,3763200000,0.5008112978316327,0.4513302139136905,0.04785848825467687,3e1f04e3fe8302ee2faafa6244192dc4d752dcbce91b937aa78b2abf57b67a1c
+SC,4,2,15,stages.3.2.gate,stop_gradient_channel_derangement,0.013671840871674798,3763200000,0.5037604209183674,0.4569685493728741,0.0392710297087585,8593429cc7b72edb9bb0590733ca58481664d313cbe0bf9fa5f563b5d15e7f66
+SC,4,3,16,stages.3.3.gate,stop_gradient_channel_derangement,0.0029654770465939746,3763200000,0.4991962701955782,0.4730039655080782,0.027799764296343538,64e7c26b4a26a4e865cd7adcc635cbf780655d4aa933cdf4b7b8cacf3d90810b
diff --git a/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/gate_diagnostics_by_stage.csv b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/gate_diagnostics_by_stage.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3541d0dea437f144ba4850af480a3e7ff56300fb
--- /dev/null
+++ b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/gate_diagnostics_by_stage.csv
@@ -0,0 +1,26 @@
+key,stage,block_count,element_count,coherence_proxy_mean,coherence_proxy_min,coherence_proxy_max,negative_fraction,active_0_to_6_fraction,clip_crossing_fraction
+B,all,17,206976000000,0.9999999999999991,0.9999999999999969,1.0000000000000016,0.5862966710584802,0.40697819644789734,0.006725132493622449
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+B,4,3,11289600000,0.9999999999999981,0.9999999999999977,0.9999999999999986,0.8551778729981576,0.14466807991425737,0.00015404708758503402
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+S,1,3,90316800000,1.0000000000000007,1.0000000000000004,1.000000000000001,0.469805844770851,0.5301842282388216,9.926990327380952e-06
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diff --git a/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/official_metrics.csv b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/official_metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..289027c7fb9a7acc1bd7e360ee546c735322569d
--- /dev/null
+++ b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/official_metrics.csv
@@ -0,0 +1,14 @@
+key,label,family,role,reference,run_name,run_dir,checkpoint_sha256,epochs,global_step,samples,checks_status,top1,delta_top1,top5,delta_top5,nll,delta_nll,ece,delta_ece
+B,Current-code ReLU6 baseline,mechanism,baseline,B,e4f_s3_current_baseline_seed0,/nfs/ywang29/GmNet/runs/e4_mechanism_followup/e4f_s3_current_baseline_seed0,090116608a567152d232255e5d96d6f1611154d508e5727bbdf84781d1b532c8,300,187500,50000,passed,78.798,0.0,94.39999999999999,0.0,1.0640039443969727,0.0,19.735690895609558,0.0
+H,Historical paper-recipe ReLU6,context,historical_baseline,B,e0_s3_seed0,/nfs/ywang29/GmNet/runs/e0_s3_seed0,e03401ab71852656b7e62d82376eb628efdcc158d310088afd39e0e6b98d1930,300,187500,50000,passed,78.74600000000001,-0.0519999999999925,94.38,-0.01999999999999602,1.0812151432037354,0.017211198806762695,20.6577842557095,0.922093360099943
+S,Stop-gradient,mechanism,stop_gradient,B,e4a_s3_stop_gradient_seed0,/nfs/ywang29/GmNet/runs/e4_alignment/e4a_s3_stop_gradient_seed0,786526f3f4d55cac7656b2cce770c4192177f28a06e9362c8473248f32a81326,300,187500,50000,passed,76.774,-2.024000000000001,93.35799999999999,-1.0420000000000016,1.1387773752212524,0.07477343082427979,18.89607429945842,-0.8396165961511386
+C,Channel derangement,mechanism,channel_derangement,B,e4a_s3_channel_derangement_seed0,/nfs/ywang29/GmNet/runs/e4_alignment/e4a_s3_channel_derangement_seed0,e21cddc22c53f880a8357b009652beadfacec8723ef0aad2a93bb5a8caf346b7,300,187500,50000,passed,77.794,-1.0040000000000049,93.906,-0.49399999999998556,1.1207811832427979,0.056777238845825195,20.01957073298655,0.2838798373769933
+D,Batch derangement,mechanism,batch_derangement,B,e4f_s3_batch_derangement_seed0,/nfs/ywang29/GmNet/runs/e4_mechanism_followup/e4f_s3_batch_derangement_seed0,d07bc844c1b2a678fc1e8baacf1fe7518a7b7d1ab9858cbdd6512fe00e4361a0,300,187500,50000,passed,54.362,-24.436,77.34,-17.059999999999988,2.326873540878296,1.2628695964813232,20.16419999852404,0.4285091029144823
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+GELU,GELU self-gate,gate_shape,gelu,H,e3_s3_gelu_seed0,/nfs/ywang29/GmNet/runs/e3_s3_gelu_seed0,ff739b22e2fef1d5a0e94956be6703f962677887960c9e4ced426afcac891ad2,300,187500,50000,passed,78.664,-0.08200000000000784,94.346,-0.033999999999991815,1.078273892402649,-0.0029412508010864258,20.15208783595823,-0.5056964197512706
+LS,Learned smooth cap,clipping,learned_smooth,H,e3_s3_smooth_static_seed0,/nfs/ywang29/GmNet/runs/e3_s3_smooth_static_seed0,3ec3c2480c580018e47f88e684e3ad546ac601f5b7fd96fb1c8f9fe3c5eaf6ad,300,187500,50000,passed,78.67,-0.07600000000000762,94.44,0.060000000000002274,1.06742262840271,-0.01379251480102539,19.791914925638583,-0.8658693300709182
+F6,Fixed smooth cap c=6,clipping,fixed_smooth_c6,H,ssfu_e3_s3_smooth_fixed_c6_seed0,/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_smooth_fixed_c6_seed0,7445b3a1e60470c0e6d73f5d85343276413fedab924aeaa778f9f335da02d77f,300,187500,50000,passed,78.798,0.0519999999999925,94.328,-0.0519999999999925,1.083845853805542,0.0026307106018066406,20.786922225560993,0.12913796985149162
+A,ReLU6 only (no self-multiplication),operator,activation_only,H,ssfu_e3_s3_relu6_only_seed0,/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_relu6_only_seed0,b55fdbe4b29fd863359861aadcc005868b09f2abe758276fef1126a4870e4f6f,300,187500,50000,passed,78.122,-0.6240000000000094,94.012,-0.367999999999995,1.1334593296051025,0.05224418640136719,21.133415114451203,0.4756308587417024
+N,No complete gated operator,operator,no_gate,H,ssfu_e3_s3_no_gate_seed0,/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_no_gate_seed0,b96215674ffb74f6551effffebd57291b12e89469cb476b13c96c2ee663ead98,300,187500,50000,passed,14.376,-64.37,30.153999999999996,-64.226,5.09074592590332,4.009530782699585,9.589706756569909,-11.068077499139592
+R,Release-paper-BN recipe audit,recipe_audit,release_paper_bn,H,ssfu_e0_s3_release_paperbn_seed0,/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e0_s3_release_paperbn_seed0,fc8342bad408b9a4ef15403498ef4c3838935fe765c75ae01d8f87cb36b22bae,310,193750,50000,passed,79.158,0.41199999999999193,94.5,0.12000000000000455,1.0407178401947021,-0.0404973030090332,18.90891848348081,-1.7488657722286902
diff --git a/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/results.json b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..47573ccfcc450e90a7caf13c96818a3371a57c41
--- /dev/null
+++ b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/results.json
@@ -0,0 +1,623 @@
+{
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+  "created_at_utc": "2026-07-18T16:07:26.380799+00:00",
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diff --git a/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/source_artifacts.sha256 b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/source_artifacts.sha256
new file mode 100644
index 0000000000000000000000000000000000000000..c0c44b286170fd47c8a7aab479561678e0185771
--- /dev/null
+++ b/gmnet/conclusions/local_results/e4_mechanism_followup_20260718/source_artifacts.sha256
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diff --git a/gmnet/conclusions/local_results/imagenet_v2_pregate/CONCLUSIONS.md b/gmnet/conclusions/local_results/imagenet_v2_pregate/CONCLUSIONS.md
new file mode 100644
index 0000000000000000000000000000000000000000..8de176d3f393e63ebed34e2831455253933212e4
--- /dev/null
+++ b/gmnet/conclusions/local_results/imagenet_v2_pregate/CONCLUSIONS.md
@@ -0,0 +1,21 @@
+# ImageNet v2 CIFAR-100 Pre-Gate Evidence
+
+Decision: **PASS**. This is a technical/controller pre-gate, not an accuracy-selection rule.
+
+All runs completed 100 fixed epochs and full clean plus five-corruption evaluation. Intervals use the three paired training seeds; n=3 intervals are necessarily wide.
+
+| Variant | Clean Top-1 effect | Mean-corruption Top-1 effect | Clean NLL effect | Corruption NLL effect |
+|---|---:|---:|---:|---:|
+| smooth_corrected | +0.587 [-0.522, +1.695] | -0.342 [-4.068, +3.384] | -0.165 [-0.299, -0.031] | -0.168 [-0.239, -0.098] |
+| relu6_only | +1.137 [-1.130, +3.403] | +0.853 [-2.326, +4.033] | -0.067 [-0.189, +0.055] | -0.087 [-0.252, +0.079] |
+
+## Controller Audit
+
+The learned-smooth minimum cap across seeds/blocks is `1.6864`; the predefined severe-collapse boundary is `0.6000`. Controller non-collapse: `True`.
+The fixed-c6 controller remains at 6.0: `True`.
+
+The old learned-cap collapse cannot be interpreted as adaptation because `raw_clip` received weight decay. With zero controller weight decay, caps remain finite and stage-dependent, so corrected learned-smooth is eligible for ImageNet.
+
+## Design Consequence
+
+Activation-only does not show the locally expected material loss. Its ImageNet test must therefore not be an early fixed-sequence gate that suppresses the ReLU and smooth hypotheses. Treat the four predeclared primary contrasts with simultaneous family-wise correction, and interpret activation-only as an operator-replacement test rather than unique causal evidence for multiplication.
diff --git a/gmnet/conclusions/local_results/imagenet_v2_pregate/paired_seed_effects.csv b/gmnet/conclusions/local_results/imagenet_v2_pregate/paired_seed_effects.csv
new file mode 100644
index 0000000000000000000000000000000000000000..0b21a526b138f9bef9e657ec11d477e02f4e8b0c
--- /dev/null
+++ b/gmnet/conclusions/local_results/imagenet_v2_pregate/paired_seed_effects.csv
@@ -0,0 +1,9 @@
+variant,reference,metric,difference,ci_low,ci_high,seed_differences,inference_unit,seeds
+smooth_corrected,relu6_self,clean_top1,0.5866666666666637,-0.5221421446378359,1.6954754779711632,"[1.0999999999999943, 0.37000000000000455, 0.28999999999999204]",paired_training_seed,3
+smooth_corrected,relu6_self,mean_corruption_top1,-0.34199999999999636,-4.067620264953258,3.383620264953265,"[0.142000000000003, -2.024000000000001, 0.8560000000000088]",paired_training_seed,3
+smooth_corrected,relu6_self,clean_nll,-0.16492760181427002,-0.2991270221490374,-0.030728181479502625,"[-0.21689891815185547, -0.16881954669952393, -0.10906434059143066]",paired_training_seed,3
+smooth_corrected,relu6_self,mean_corruption_nll,-0.16846660772959407,-0.23879531167217372,-0.09813790378701444,"[-0.16131982803344735, -0.14441370964050293, -0.1996662855148319]",paired_training_seed,3
+relu6_only,relu6_self,clean_top1,1.1366666666666656,-1.1300778015527058,3.4034111348860367,"[2.1499999999999986, 0.38000000000000256, 0.8799999999999955]",paired_training_seed,3
+relu6_only,relu6_self,mean_corruption_top1,0.8533333333333365,-2.325836308614875,4.032502975281548,"[1.8200000000000003, -0.597999999999999, 1.338000000000008]",paired_training_seed,3
+relu6_only,relu6_self,clean_nll,-0.06705156962076823,-0.18900551937554505,0.054902380134008597,"[-0.11821413040161133, -0.06261086463928223, -0.020329713821411133]",paired_training_seed,3
+relu6_only,relu6_self,mean_corruption_nll,-0.08665291468302394,-0.25231348151802163,0.07900765215197375,"[-0.10562295913696262, -0.14179997444152814, -0.012535810470581055]",paired_training_seed,3
diff --git a/gmnet/conclusions/local_results/imagenet_v2_pregate/results.json b/gmnet/conclusions/local_results/imagenet_v2_pregate/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..79f8bf21fd1b4d2431a35204917e4b4d81a7e517
--- /dev/null
+++ b/gmnet/conclusions/local_results/imagenet_v2_pregate/results.json
@@ -0,0 +1,192 @@
+{
+  "aggregates": [
+    {
+      "mean": 57.65333333333333,
+      "metric": "clean_top1",
+      "seeds": 3,
+      "std": 1.1781482645801995,
+      "variant": "smooth_corrected"
+    },
+    {
+      "mean": 37.73666666666667,
+      "metric": "mean_corruption_top1",
+      "seeds": 3,
+      "std": 0.19248203379363388,
+      "variant": "smooth_corrected"
+    },
+    {
+      "mean": 2.0320814847946167,
+      "metric": "clean_nll",
+      "seeds": 3,
+      "std": 0.06500150034814973,
+      "variant": "smooth_corrected"
+    },
+    {
+      "mean": 3.7154851675033567,
+      "metric": "mean_corruption_nll",
+      "seeds": 3,
+      "std": 0.05944515732629327,
+      "variant": "smooth_corrected"
+    },
+    {
+      "mean": 58.20333333333334,
+      "metric": "clean_top1",
+      "seeds": 3,
+      "std": 0.7583095234357344,
+      "variant": "relu6_only"
+    },
+    {
+      "mean": 38.931999999999995,
+      "metric": "mean_corruption_top1",
+      "seeds": 3,
+      "std": 0.7335093728099167,
+      "variant": "relu6_only"
+    },
+    {
+      "mean": 2.1299575169881186,
+      "metric": "clean_nll",
+      "seeds": 3,
+      "std": 0.06348276131336351,
+      "variant": "relu6_only"
+    },
+    {
+      "mean": 3.7972988605499274,
+      "metric": "mean_corruption_nll",
+      "seeds": 3,
+      "std": 0.15379520808880673,
+      "variant": "relu6_only"
+    }
+  ],
+  "controller": {
+    "fixed_c6_pass": true,
+    "learned_global_min": 1.6863692998886108,
+    "learned_noncollapse_pass": true,
+    "severe_collapse_boundary": 0.6000000000000001
+  },
+  "decision": "passed",
+  "effects": [
+    {
+      "ci_high": 1.6954754779711632,
+      "ci_low": -0.5221421446378359,
+      "difference": 0.5866666666666637,
+      "inference_unit": "paired_training_seed",
+      "metric": "clean_top1",
+      "reference": "relu6_self",
+      "seed_differences": [
+        1.0999999999999943,
+        0.37000000000000455,
+        0.28999999999999204
+      ],
+      "seeds": 3,
+      "variant": "smooth_corrected"
+    },
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+  ],
+  "pregate_root": "/tmp/gmnet_runs/e3_cifar100_pregate_v2",
+  "protocol": "imagenet-long-v2-pregate",
+  "reference_root": "/tmp/gmnet_runs/e3_cifar100"
+}
diff --git a/gmnet/conclusions/local_results/imagenet_v2_pregate/source_evaluations.sha256 b/gmnet/conclusions/local_results/imagenet_v2_pregate/source_evaluations.sha256
new file mode 100644
index 0000000000000000000000000000000000000000..f9e14c6d98d99a39801ef17bab3c6a23417f59f2
--- /dev/null
+++ b/gmnet/conclusions/local_results/imagenet_v2_pregate/source_evaluations.sha256
@@ -0,0 +1,7 @@
+b46a0e545c7b13043699ea9690f6ef512ddc97d6796da94261160d621d958c58  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_relu6_only_seed0.json
+08bb9fab005406b0ba2ba8c93d4900f91a737c1c7847c09ecdb23432e9166a37  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_relu6_only_seed1.json
+686eaa064c806c2edfaf1b848f07aaccfe847653f8615e213f5ac0a28a63ef81  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_relu6_only_seed2.json
+7fedebec5550ce375697c90d7d95230a18835c6ab230126d0628c0cb1d0eb8be  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_smooth_corrected_seed0.json
+b6394882b462f9c6c700fdf1fc8cb373040a486b16bf59688ab75d943d05a8e0  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_smooth_corrected_seed1.json
+778fbf6ca66c07886774e3d33357bcab6f76cc2fd929592c3b789f0edd44e74c  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_smooth_corrected_seed2.json
+1c66925b5fe2c9e859a54ab944bbf151fb3c1e83a1186e888a82c1e260f8de36  /nfs/ywang29/GmNet/local_results/imagenet_v2_pregate/source_evaluations/e3_c100_pregate_v2_smooth_fixed_c6_seed0.json
diff --git a/gmnet/conclusions/local_results/imagenet_v2_pregate/training_results.json b/gmnet/conclusions/local_results/imagenet_v2_pregate/training_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..dc838dbf8668abd836d832eb6dd1aa076fa39726
--- /dev/null
+++ b/gmnet/conclusions/local_results/imagenet_v2_pregate/training_results.json
@@ -0,0 +1,291 @@
+{
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+    }
+  ]
+}
diff --git a/gmnet/conclusions/local_results/tpami_seed0_confirmatory_20260721/REPORT.md b/gmnet/conclusions/local_results/tpami_seed0_confirmatory_20260721/REPORT.md
new file mode 100644
index 0000000000000000000000000000000000000000..e7b759c74741ae1121f47d590c015e4fb6c485a2
--- /dev/null
+++ b/gmnet/conclusions/local_results/tpami_seed0_confirmatory_20260721/REPORT.md
@@ -0,0 +1,56 @@
+# TPAMI seed-0 confirmatory ImageNet analysis
+
+Generated from fixed-last, full-ImageNet official evaluations with passed certificates.
+
+## Official metrics
+
+| Scale | Arm | Top-1 | Top-5 | NLL | ECE |
+|---|---:|---:|---:|---:|---:|
+| S1 | B | 74.778 | 92.546 | 1.2443 | 20.909 |
+| S1 | S | 72.656 | 91.124 | 1.3523 | 20.443 |
+| S1 | D | 47.144 | 70.844 | 2.6525 | 15.566 |
+| S1 | DD | 14.316 | 30.184 | 5.0856 | 9.466 |
+| S3 | B | 78.798 | 94.400 | 1.0640 | 19.736 |
+| S3 | S | 76.774 | 93.358 | 1.1388 | 18.896 |
+| S3 | D | 54.362 | 77.340 | 2.3269 | 20.164 |
+| S3 | DD | 14.076 | 29.996 | 5.0561 | 8.769 |
+
+## Registered Top-1 contrasts
+
+| Scale | B-S | S-DD | D-DD | D-B | Interaction |
+|---|---:|---:|---:|---:|---:|
+| S1 | +2.122 [+1.832, +2.416] | +58.340 [+57.912, +58.756] | +32.828 [+32.410, +33.258] | -27.634 [-28.048, -27.216] | +30.706 [+30.190, +31.230] |
+| S3 | +2.024 [+1.752, +2.296] | +62.698 [+62.282, +63.100] | +40.286 [+39.848, +40.718] | -24.436 [-24.852, -24.024] | +38.262 [+37.746, +38.782] |
+
+Intervals are class-stratified paired bootstrap intervals over validation images. They do not estimate training-seed uncertainty.
+
+## Gate diagnostics
+
+| Scale | Arm | Coherence | Negative % | Active % | Clip-crossing % |
+|---|---:|---:|---:|---:|---:|
+| S1 | B | 1.0000 | 54.623 | 44.590 | 0.7866 |
+| S1 | S | 1.0000 | 58.858 | 41.125 | 0.0164 |
+| S1 | D | 0.7710 | 79.239 | 16.096 | 4.6648 |
+| S1 | DD | 0.1623 | 56.956 | 42.947 | 0.0967 |
+| S3 | B | 1.0000 | 58.630 | 40.698 | 0.6725 |
+| S3 | S | 1.0000 | 62.649 | 37.340 | 0.0105 |
+| S3 | D | 0.7627 | 81.001 | 16.378 | 2.6213 |
+| S3 | DD | 0.0522 | 53.225 | 46.653 | 0.1225 |
+
+## Interpretation
+
+1. S-DD is the cleanest available forward-coupling contrast: both detach the gate branch, while only DD replaces the same-sample gate with a local-batch donor.
+2. D-DD holds the donor intervention and topology fixed and changes the gate-gradient path. Its large positive effect shows that optimization adapts substantially around a mismatched forward gate.
+3. B-S is positive but much smaller. The large positive interaction therefore shows that gate-gradient value is context dependent, not an additive constant.
+4. D remains far below B, so gradient adaptation only partially compensates for loss of same-sample conditioning.
+5. DD has ordinary-looking marginal gate-region fractions but collapses in accuracy; marginal clipping/activation occupancy alone cannot explain the task value.
+
+## Claim boundary
+
+The panel supports a joint mechanism claim: GmNet's benefit depends primarily on same-sample carrier-gate coupling, while the gate-gradient path supplies a smaller aligned benefit and a much larger adaptive rescue under mismatch. It does not yet support population-level training-seed significance, arbitrary globally independent donors, or a causal spectral-mediation claim.
+
+## Remaining work
+
+- Run the registered DD order probes and matched B/S/D/DD spectral audit.
+- Run additional training seeds only when population-level uncertainty is required.
+- Treat ECE for collapsed DD models as non-comparable rather than improved calibration.
diff --git a/gmnet/conclusions/local_results/tpami_seed0_confirmatory_20260721/gate_diagnostics.csv b/gmnet/conclusions/local_results/tpami_seed0_confirmatory_20260721/gate_diagnostics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a65db22b27005cac8c17d810a780a48541f8d20e
--- /dev/null
+++ b/gmnet/conclusions/local_results/tpami_seed0_confirmatory_20260721/gate_diagnostics.csv
@@ -0,0 +1,9 @@
+scale,arm,blocks,coherence_block_equal_mean,negative_element_fraction,active_0_to_6_element_fraction,actual_clip_crossing_element_fraction
+S1,B,16,1.0,0.5462314088479142,0.4459022050195078,0.007866386132578031
+S1,S,16,0.9999999999999996,0.5885831214923469,0.41125273977716087,0.00016413873049219688
+S1,D,16,0.7709574273868571,0.79239429717512,0.16095810324129653,0.046647599583583436
+S1,DD,16,0.16232056387656135,0.569559803102491,0.4294732793930072,0.0009669175045018008
+S3,B,17,0.999999999999999,0.5862966710584802,0.40697819644789734,0.006725132493622449
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+++ b/gmnet/deploy/e4_alignment_20260716/approvals/e4a_s3_channel_derangement_seed0.json
@@ -0,0 +1,17 @@
+{
+  "approval_basis": "passed_8gpu_strict_resume_smoke",
+  "code_manifest_path": "configs/code_manifests/e4_alignment_20260716.json",
+  "code_manifest_sha256": "fa1a6ba00c82619dbd51b9af61489a34326b635978d83ef948584e45f93cddbc",
+  "code_sha256": "4a62bc48370247d882196cd9afc1a0f1629a5bbfd522c3f599ffaf0c1187641f",
+  "config_path": "configs/e4_alignment/imagenet_gmnet_s3_channel_derangement.yaml",
+  "gate_intervention": "channel_derangement",
+  "gate_intervention_seed": 41041,
+  "output_dir": "/nfs/ywang29/GmNet/runs/e4_alignment/e4a_s3_channel_derangement_seed0",
+  "protocol_id": "imagenet-e4-alignment-single-seed-20260716",
+  "schema_version": 1,
+  "smoke_checkpoint_last_sha256": "c1af3664926c9197b795457719a023505bfb3d8e529632ed67b9ea18c71518f9",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/e4_alignment_20260716/smoke_evidence.json",
+  "smoke_evidence_sha256": "ea4b807ee0fdf78a7c4e92523d698e8ba64386e86c418997f170761d34888ab6",
+  "status": "approved",
+  "task_id": "e4a_s3_channel_derangement_seed0"
+}
diff --git a/gmnet/deploy/e4_alignment_20260716/approvals/e4a_s3_stop_gradient_seed0.json b/gmnet/deploy/e4_alignment_20260716/approvals/e4a_s3_stop_gradient_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..af01ea49c23984a94f6f0f04a4fd6740eca2d914
--- /dev/null
+++ b/gmnet/deploy/e4_alignment_20260716/approvals/e4a_s3_stop_gradient_seed0.json
@@ -0,0 +1,17 @@
+{
+  "approval_basis": "passed_8gpu_strict_resume_smoke",
+  "code_manifest_path": "configs/code_manifests/e4_alignment_20260716.json",
+  "code_manifest_sha256": "fa1a6ba00c82619dbd51b9af61489a34326b635978d83ef948584e45f93cddbc",
+  "code_sha256": "4a62bc48370247d882196cd9afc1a0f1629a5bbfd522c3f599ffaf0c1187641f",
+  "config_path": "configs/e4_alignment/imagenet_gmnet_s3_stop_gradient.yaml",
+  "gate_intervention": "stop_gradient",
+  "gate_intervention_seed": 41041,
+  "output_dir": "/nfs/ywang29/GmNet/runs/e4_alignment/e4a_s3_stop_gradient_seed0",
+  "protocol_id": "imagenet-e4-alignment-single-seed-20260716",
+  "schema_version": 1,
+  "smoke_checkpoint_last_sha256": "ed72fce65e85814604816ebaa218dc05426a6eddfe039a7d27073678598bf0d9",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/e4_alignment_20260716/smoke_evidence.json",
+  "smoke_evidence_sha256": "ea4b807ee0fdf78a7c4e92523d698e8ba64386e86c418997f170761d34888ab6",
+  "status": "approved",
+  "task_id": "e4a_s3_stop_gradient_seed0"
+}
diff --git a/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_batch_derangement_seed0.json b/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_batch_derangement_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7c246e5fcee9adf12eafa182743b4e377647cb1
--- /dev/null
+++ b/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_batch_derangement_seed0.json
@@ -0,0 +1,19 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "code_manifest_path": "configs/code_manifests/e4_mechanism_followup_20260717.json",
+  "code_manifest_sha256": "e354339142ffc72e669234a9f297113a64e5294ce8ff37dd658e62f723f0b239",
+  "code_sha256": "f6bd434a2ac86c772f2e23683431f3bb7ccb06f539558682a3bea6464bacebf9",
+  "config_path": "configs/e4_mechanism_followup/imagenet_gmnet_s3_batch_derangement.yaml",
+  "gate_intervention": "batch_derangement",
+  "gate_intervention_seed": 41041,
+  "output_dir": "/nfs/ywang29/GmNet/runs/e4_mechanism_followup/e4f_s3_batch_derangement_seed0",
+  "protocol_id": "imagenet-e4-mechanism-followup-single-seed-20260717",
+  "schema_version": 1,
+  "smoke_checkpoint_last_sha256": "07176b0fb3a54834becaf7fb2c20d7a2a2dfdb494feeb5e1e8b929403db63d18",
+  "smoke_config_path": "configs/smoke/imagenet5_gmnet_s1_e4f_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/e4_mechanism_followup_20260717/smoke_evidence.json",
+  "smoke_evidence_sha256": "2e04518469068593b3ed69e123ff8184ad3052b1311e7ef7d757a09abfb9239f",
+  "status": "approved",
+  "task_id": "e4f_s3_batch_derangement_seed0"
+}
diff --git a/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_current_baseline_seed0.json b/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_current_baseline_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ca961048af0565e462b42c1ee63c3a0347f8ddc
--- /dev/null
+++ b/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_current_baseline_seed0.json
@@ -0,0 +1,19 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "code_manifest_path": "configs/code_manifests/e4_mechanism_followup_20260717.json",
+  "code_manifest_sha256": "e354339142ffc72e669234a9f297113a64e5294ce8ff37dd658e62f723f0b239",
+  "code_sha256": "f6bd434a2ac86c772f2e23683431f3bb7ccb06f539558682a3bea6464bacebf9",
+  "config_path": "configs/e4_mechanism_followup/imagenet_gmnet_s3_current_baseline.yaml",
+  "gate_intervention": "baseline",
+  "gate_intervention_seed": 41041,
+  "output_dir": "/nfs/ywang29/GmNet/runs/e4_mechanism_followup/e4f_s3_current_baseline_seed0",
+  "protocol_id": "imagenet-e4-mechanism-followup-single-seed-20260717",
+  "schema_version": 1,
+  "smoke_checkpoint_last_sha256": "b13056369d77e1c72b84efa60c470c8bfd3985a16fd8527ea180b35e53fea338",
+  "smoke_config_path": "configs/smoke/imagenet5_gmnet_s1_e4f_current_baseline.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/e4_mechanism_followup_20260717/smoke_evidence.json",
+  "smoke_evidence_sha256": "2e04518469068593b3ed69e123ff8184ad3052b1311e7ef7d757a09abfb9239f",
+  "status": "approved",
+  "task_id": "e4f_s3_current_baseline_seed0"
+}
diff --git a/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_stopgrad_channel_derangement_seed0.json b/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_stopgrad_channel_derangement_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..51dbbbae0a76462a78a50f15b07d10d854d41bc6
--- /dev/null
+++ b/gmnet/deploy/e4_mechanism_followup_20260717/approvals/e4f_s3_stopgrad_channel_derangement_seed0.json
@@ -0,0 +1,19 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "code_manifest_path": "configs/code_manifests/e4_mechanism_followup_20260717.json",
+  "code_manifest_sha256": "e354339142ffc72e669234a9f297113a64e5294ce8ff37dd658e62f723f0b239",
+  "code_sha256": "f6bd434a2ac86c772f2e23683431f3bb7ccb06f539558682a3bea6464bacebf9",
+  "config_path": "configs/e4_mechanism_followup/imagenet_gmnet_s3_stopgrad_channel_derangement.yaml",
+  "gate_intervention": "stop_gradient_channel_derangement",
+  "gate_intervention_seed": 41041,
+  "output_dir": "/nfs/ywang29/GmNet/runs/e4_mechanism_followup/e4f_s3_stopgrad_channel_derangement_seed0",
+  "protocol_id": "imagenet-e4-mechanism-followup-single-seed-20260717",
+  "schema_version": 1,
+  "smoke_checkpoint_last_sha256": "0e424ca2eaa0d4c669ee84316692dff3a98dcc640854f6a93d9b13f605d37d4b",
+  "smoke_config_path": "configs/smoke/imagenet5_gmnet_s1_e4f_stopgrad_channel_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/e4_mechanism_followup_20260717/smoke_evidence.json",
+  "smoke_evidence_sha256": "2e04518469068593b3ed69e123ff8184ad3052b1311e7ef7d757a09abfb9239f",
+  "status": "approved",
+  "task_id": "e4f_s3_stopgrad_channel_derangement_seed0"
+}
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed0.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bde8eab4a0b6aaa5611435dad4868da9dd652783
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e0_s3_relu6_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e0_s3_relu6_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e0-s3-relu6-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed1.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dc69e3f43597610b81ad1c952fac02f0b4e0a94a
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed1.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_relu6_seed1" ]; then echo "Protocol guard denied imv2_e0_s3_relu6_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_relu6_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_relu6_seed1" ]; then echo "Protocol guard denied imv2_e0_s3_relu6_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_relu6_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e0_s3_relu6_seed1 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e0_s3_relu6_seed1 SEED=1 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e0-s3-relu6-seed1
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed2.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0c1a5fddb8a24ed7ef3bce75d360e2d0b6758f8d
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e0_s3_relu6_seed2.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_relu6_seed2" ]; then echo "Protocol guard denied imv2_e0_s3_relu6_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_relu6_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_relu6_seed2" ]; then echo "Protocol guard denied imv2_e0_s3_relu6_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_relu6_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e0_s3_relu6_seed2 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e0_s3_relu6_seed2 SEED=2 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e0-s3-relu6-seed2
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed0.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1a7c834e031afa673b6e7c80dacac822c8315e44
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_no_gate_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_no_gate_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_no_gate_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_no_gate_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_no_gate_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_no_gate_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_no_gate_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_no_gate.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_no_gate_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-no-gate-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed1.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6e0e882bb8b2efd3ddcf5c39f66a99c10e79dca2
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed1.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_no_gate_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_no_gate_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_no_gate_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_no_gate_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_no_gate_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_no_gate_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_no_gate_seed1 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_no_gate.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_no_gate_seed1 SEED=1 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-no-gate-seed1
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed2.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5d6a3ce88569ace63b76aa773fb5113ecb558245
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_no_gate_seed2.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_no_gate_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_no_gate_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_no_gate_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_no_gate_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_no_gate_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_no_gate_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_no_gate_seed2 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_no_gate.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_no_gate_seed2 SEED=2 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-no-gate-seed2
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed0.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..60213db58d9f1fb2e909f1b3f7b23cbf15f39036
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu6_only_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_relu6_only_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu6_only_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu6_only_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_relu6_only_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu6_only_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_relu6_only_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu6_only.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_relu6_only_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-relu6-only-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed1.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..fe5416b7372eb13dfe02b86346ae4f09d5c6769e
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed1.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu6_only_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_relu6_only_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu6_only_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu6_only_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_relu6_only_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu6_only_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_relu6_only_seed1 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu6_only.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_relu6_only_seed1 SEED=1 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-relu6-only-seed1
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed2.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b1ccbcca221c37817e7e35074b3017e61be6a435
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu6_only_seed2.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu6_only_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_relu6_only_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu6_only_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu6_only_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_relu6_only_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu6_only_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_relu6_only_seed2 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu6_only.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_relu6_only_seed2 SEED=2 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-relu6-only-seed2
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed0.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dc1986245de858821164bafce1b9cd22ca0e4014
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_relu_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_relu_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_relu_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_relu_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-relu-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed1.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..921d47f500d8d967f494245a495ccadba582f077
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed1.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_relu_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_relu_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_relu_seed1 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_relu_seed1 SEED=1 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-relu-seed1
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed2.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..04211ba6ce514af701742252a8ef6c755789fc21
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_relu_seed2.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_relu_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_relu_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_relu_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_relu_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_relu_seed2 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_relu_seed2 SEED=2 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-relu-seed2
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed0.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0288e5f94d725359aafd893a4fc3936464c6a1d5
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_corrected_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_corrected_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_corrected_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_corrected_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_corrected_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_corrected_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_smooth_corrected_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_smooth_corrected.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_smooth_corrected_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-smooth-corrected-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed1.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2b178b5a6be2d60bf20cd60c6759490a47412322
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed1.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_corrected_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_corrected_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_corrected_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_corrected_seed1" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_corrected_seed1; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_corrected_seed1 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_smooth_corrected_seed1 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_smooth_corrected.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_smooth_corrected_seed1 SEED=1 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-smooth-corrected-seed1
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed2.yaml b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..39ba8070aa198bd676d71902defd5436d92f85de
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/confirmatory/imv2_e3_s3_smooth_corrected_seed2.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_corrected_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_corrected_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_corrected_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_corrected_seed2" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_corrected_seed2; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_corrected_seed2 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_smooth_corrected_seed2 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_smooth_corrected.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_smooth_corrected_seed2 SEED=2 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-smooth-corrected-seed2
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/diagnostics/imv2_e3_s3_smooth_fixed_c6_seed0.yaml b/gmnet/deploy/imagenet_v2/diagnostics/imv2_e3_s3_smooth_fixed_c6_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cb02aafb38f848989e6859ab29425ea938d9370e
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/diagnostics/imv2_e3_s3_smooth_fixed_c6_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_fixed_c6_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_fixed_c6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_fixed_c6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e3_s3_smooth_fixed_c6_seed0" ]; then echo "Protocol guard denied imv2_e3_s3_smooth_fixed_c6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e3_s3_smooth_fixed_c6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e3_s3_smooth_fixed_c6_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_smooth_fixed_c6.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e3_s3_smooth_fixed_c6_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e3-s3-smooth-fixed-c6-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/recipe_audits/imv2_e0_s3_release_fullbn_seed0.yaml b/gmnet/deploy/imagenet_v2/recipe_audits/imv2_e0_s3_release_fullbn_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6ed751efa68fec90a313b177e6e8c61d029956ba
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/recipe_audits/imv2_e0_s3_release_fullbn_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_release_fullbn_seed0" ]; then echo "Protocol guard denied imv2_e0_s3_release_fullbn_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_release_fullbn_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_release_fullbn_seed0" ]; then echo "Protocol guard denied imv2_e0_s3_release_fullbn_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_release_fullbn_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e0_s3_release_fullbn_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3_release_historical_full_bn.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e0_s3_release_fullbn_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e0-s3-release-fullbn-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/recipe_audits/imv2_e0_s3_release_paperbn_seed0.yaml b/gmnet/deploy/imagenet_v2/recipe_audits/imv2_e0_s3_release_paperbn_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..97a7d99f1e3cf1530aab332d6eeba9801fd39905
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/recipe_audits/imv2_e0_s3_release_paperbn_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_release_paperbn_seed0" ]; then echo "Protocol guard denied imv2_e0_s3_release_paperbn_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_release_paperbn_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e0_s3_release_paperbn_seed0" ]; then echo "Protocol guard denied imv2_e0_s3_release_paperbn_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e0_s3_release_paperbn_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e0_s3_release_paperbn_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3_release_paper_bn.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e0_s3_release_paperbn_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e0-s3-release-paperbn-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s1_relu6_seed0.yaml b/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s1_relu6_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1c434a7c6ecd04bd48fa5f8b05cfdd6ec464094a
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s1_relu6_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e5_s1_relu6_seed0" ]; then echo "Protocol guard denied imv2_e5_s1_relu6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e5_s1_relu6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e5_s1_relu6_seed0" ]; then echo "Protocol guard denied imv2_e5_s1_relu6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e5_s1_relu6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e5_s1_relu6_seed0 CONFIG_PATH=configs/e5_scaling/imagenet_gmnet_s1.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e5_s1_relu6_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e5-s1-relu6-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s2_relu6_seed0.yaml b/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s2_relu6_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..99d9b4c1f021ebdecdfc0259617045e85e89d9d9
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s2_relu6_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e5_s2_relu6_seed0" ]; then echo "Protocol guard denied imv2_e5_s2_relu6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e5_s2_relu6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e5_s2_relu6_seed0" ]; then echo "Protocol guard denied imv2_e5_s2_relu6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e5_s2_relu6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e5_s2_relu6_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s2.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e5_s2_relu6_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e5-s2-relu6-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s4_relu6_seed0.yaml b/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s4_relu6_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..44c265b40c042041a2660add577d315c35ae7c00
--- /dev/null
+++ b/gmnet/deploy/imagenet_v2/scaling/imv2_e5_s4_relu6_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_deploy.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e5_s4_relu6_seed0" ]; then echo "Protocol guard denied imv2_e5_s4_relu6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e5_s4_relu6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: if [ "${GMNET_PROTOCOL_UNLOCK_TASK:-}" != "imv2_e5_s4_relu6_seed0" ]; then echo "Protocol guard denied imv2_e5_s4_relu6_seed0; set GMNET_PROTOCOL_UNLOCK_TASK=imv2_e5_s4_relu6_seed0 only after documented prerequisite review" >&2; exit 64; fi; cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=imv2_e5_s4_relu6_seed0 CONFIG_PATH=configs/e5_scaling/imagenet_gmnet_s4.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/imagenet_v2/imv2_e5_s4_relu6_seed0 SEED=0 NPROC_PER_NODE=8 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-imv2-e5-s4-relu6-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/README.md b/gmnet/deploy/legacy_resume_local_cache_20260714/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e56eb55ea72c6c5e29f07bcf0d531feb339a3425
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/README.md
@@ -0,0 +1,25 @@
+# Legacy ImageNet Local-Cache Resume Jobs
+
+These seven launch YAMLs resume the partial ImageNet jobs that previously read
+ImageFolder samples directly from `/s3-code`. Each job now stages the canonical
+ImageNet archive to `/tmp/gmnet_data/imagenet-1k` before training and keeps the
+original run name, seed, config, and persistent output directory.
+
+All seven `checkpoint_last.pt` files are complete epoch-6 checkpoints. The old
+logs also contain incomplete epoch-7 step records through step 250; strict
+`RESUME=auto` restores the epoch-6 checkpoint and reruns epoch 7. This can leave
+duplicate partial step records in `metrics.jsonl`, so use complete `kind=epoch`
+records and final official-evaluation artifacts for summaries.
+
+`CODE_MANIFEST_PATH` is explicitly cleared. Injecting the current ImageNet-v2
+code hash would alter the resolved recipe fingerprint and strict resume would
+reject these legacy checkpoints. Each pre-run also checks that its checkpoint
+exists before spending time staging ImageNet. The original source configs were
+byte-checked against the current config files when these YAMLs were created.
+
+These are continuation jobs for historical partial runs, not members of the
+formal ImageNet-v2 confirmatory family.
+
+`resume_manifest.json` records the exact task/config/output mapping and the
+audited checkpoint boundary. Submit only after confirming the previous jobs are
+terminated, because both old and new jobs would write the same output paths.
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e0_s2_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e0_s2_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d7093b6f770b981af8d94f8fc086eccc4b756180
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e0_s2_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e0_s2_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e0_s2_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s2.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e0_s2_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e0-s2-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e0_s3_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e0_s3_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ff8ea92387820cf1bcb6a4ce0ed3327d12bb5c50
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e0_s3_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e0_s3_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e0_s3_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e0_s3_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e0-s3-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_gelu_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_gelu_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c888689199286d219e26ba658a333568a418e8a4
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_gelu_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e3_s3_gelu_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e3_s3_gelu_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_gelu.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e3_s3_gelu_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e3-s3-gelu-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_relu_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_relu_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bf5944c3b5fc4107ce2cae75f741d97c4447b971
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_relu_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e3_s3_relu_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e3_s3_relu_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e3_s3_relu_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e3-s3-relu-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_smooth_static_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_smooth_static_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9723bae43e7d2bcce5aa145667d72bb6c01afe14
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e3_s3_smooth_static_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e3_s3_smooth_static_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e3_s3_smooth_static_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_smooth_clipped_static.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e3_s3_smooth_static_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e3-s3-smooth-static-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e5_s1_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e5_s1_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c0688fa7e4a66d2d994acc5dc4de2418c6ac1306
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e5_s1_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e5_s1_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e5_s1_seed0 CONFIG_PATH=configs/e5_scaling/imagenet_gmnet_s1.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e5_s1_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e5-s1-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/e5_s4_seed0.yaml b/gmnet/deploy/legacy_resume_local_cache_20260714/e5_s4_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7ca41a7d4e22e14c04fa47ff4c5186d5d9d31476
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/e5_s4_seed0.yaml
@@ -0,0 +1,45 @@
+# Manual legacy resume YAML; kept outside the generated ImageNet-v2 matrix.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: test -f /nfs/ywang29/GmNet/runs/e5_s4_seed0/checkpoint_last.pt && cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && RUN_NAME=e5_s4_seed0 CONFIG_PATH=configs/e5_scaling/imagenet_gmnet_s4.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/e5_s4_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH= bash scripts/init_run.sh
+  jobs:
+  - name: gmnet-resume-e5-s4-seed0-local-cache
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/legacy_resume_local_cache_20260714/resume_manifest.json b/gmnet/deploy/legacy_resume_local_cache_20260714/resume_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..a56f041943a2044ddaac4662dede31aae2f45aca
--- /dev/null
+++ b/gmnet/deploy/legacy_resume_local_cache_20260714/resume_manifest.json
@@ -0,0 +1,67 @@
+{
+  "schema_version": 1,
+  "created_at_utc": "2026-07-14",
+  "purpose": "resume seven legacy ImageNet runs after replacing direct S3 ImageFolder reads with a node-local cache",
+  "data_source": "s3://snap-research-cv-code/ywang29/datasets/imagenet-1k/imagenet-1k.tar",
+  "runtime_data_root": "/tmp/gmnet_data/imagenet-1k",
+  "data_manifest_sha256": "bb70bc9f530db6bb24f70e648624b35281bfbc76a57775d589a2e0209dd98661",
+  "checkpoint_epoch": 6,
+  "resume_from_epoch": 7,
+  "checkpoint_global_step": 4375,
+  "steps_per_epoch": 625,
+  "seed": 0,
+  "world_size": 8,
+  "requires_previous_job_terminated": true,
+  "code_manifest_must_be_empty": true,
+  "tasks": [
+    {
+      "run_name": "e0_s2_seed0",
+      "yaml": "e0_s2_seed0.yaml",
+      "config": "configs/e0_baseline/imagenet_gmnet_s2.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e0_s2_seed0",
+      "config_fingerprint": "d8e4d82153be1b0b5df8e015b98c58248a273ab8e9514af7b4f865434f1568dd"
+    },
+    {
+      "run_name": "e0_s3_seed0",
+      "yaml": "e0_s3_seed0.yaml",
+      "config": "configs/e0_baseline/imagenet_gmnet_s3.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e0_s3_seed0",
+      "config_fingerprint": "a914c8e570ffb0cc953afff81c49dd76bd5b606beca95fdbd2c9445119c647c5"
+    },
+    {
+      "run_name": "e3_s3_gelu_seed0",
+      "yaml": "e3_s3_gelu_seed0.yaml",
+      "config": "configs/e3_gate/imagenet_gmnet_s3_gelu.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e3_s3_gelu_seed0",
+      "config_fingerprint": "d7803028c7bb423846166a1e24f3751944c3ccf2c434ca607707b2847f1bac32"
+    },
+    {
+      "run_name": "e3_s3_relu_seed0",
+      "yaml": "e3_s3_relu_seed0.yaml",
+      "config": "configs/e3_gate/imagenet_gmnet_s3_relu.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e3_s3_relu_seed0",
+      "config_fingerprint": "28d507e96e48bcd59caa25313e30de4e168c74187526d3c523cabf751d3aab17"
+    },
+    {
+      "run_name": "e3_s3_smooth_static_seed0",
+      "yaml": "e3_s3_smooth_static_seed0.yaml",
+      "config": "configs/e3_gate/imagenet_gmnet_s3_smooth_clipped_static.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e3_s3_smooth_static_seed0",
+      "config_fingerprint": "17b62fec486ece2064fe6892efbade6acb0caff7c1912d6139c90cd0438ec2c9"
+    },
+    {
+      "run_name": "e5_s1_seed0",
+      "yaml": "e5_s1_seed0.yaml",
+      "config": "configs/e5_scaling/imagenet_gmnet_s1.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e5_s1_seed0",
+      "config_fingerprint": "ae718f6468bfd4c9b63b6c964807a66a7a77f34f1a9d68755deedf98979dd3ef"
+    },
+    {
+      "run_name": "e5_s4_seed0",
+      "yaml": "e5_s4_seed0.yaml",
+      "config": "configs/e5_scaling/imagenet_gmnet_s4.yaml",
+      "output_dir": "/nfs/ywang29/GmNet/runs/e5_s4_seed0",
+      "config_fingerprint": "cb386446a7f1a6298fdaabd17f6deaf7c52d0f54eee083ce9d1225bda36e51c4"
+    }
+  ]
+}
diff --git a/gmnet/deploy/single_seed_followup_20260715/README.md b/gmnet/deploy/single_seed_followup_20260715/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..480e7096c682d96d85375816ad3b550ab276c594
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/README.md
@@ -0,0 +1,75 @@
+# ImageNet Single-Seed Follow-up (2026-07-15)
+
+This is a post-hoc exploratory batch, separate from the frozen
+imagenet_v2 confirmatory protocol. It does not add seeds 1/2, does not enter
+the parent Holm family, and does not retroactively label legacy checkpoints as
+frozen-code runs.
+
+## Batch State
+
+| Task | Purpose | Initial state |
+|---|---|---|
+| ssfu_e3_s3_no_gate_seed0 | Remove the complete gated operator | approved |
+| ssfu_e3_s3_relu6_only_seed0 | Isolate clipping without self-multiplication | approved |
+| ssfu_e3_s3_smooth_fixed_c6_seed0 | Compare learned and fixed clipping | approved |
+| ssfu_e0_s3_release_paperbn_seed0 | Diagnose the baseline recipe gap | conditional, manually approved |
+
+The first three YAMLs may be submitted independently. The recipe audit's
+numeric trigger is met because the accepted historical ReLU6 result is
+78.746%, below the predeclared 78.8% operational lower bound. It remains
+locked by default so that recipe diagnosis is an explicit decision and is not
+mixed into the mechanism batch. It was manually approved after an explicit
+launch attempt on 2026-07-15.
+
+Every task requires a task-specific JSON approval under approvals/. The ready
+tasks' markers are generated from the registered protocol. The conditional
+recipe audit now has a manual trigger-acknowledgement marker. The command used
+to create or renew that marker after code changes is:
+
+    cd /nfs/ywang29/GmNet/journal_exp
+    /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py \
+      --approve-conditional ssfu_e0_s3_release_paperbn_seed0 \
+      --acknowledge-conditional
+
+## Runtime Contract
+
+- Each YAML requests 8 A100 80GB GPUs using the resource, image, ownership,
+  cost, and mount fields from the required LongLive template.
+- setup_env.sh creates /tmp/gmnet_venv.
+- Legacy evidence and the current code manifest are verified before dataset
+  staging.
+- ImageNet is downloaded from the canonical S3 archive and extracted to
+  /tmp/gmnet_data/imagenet-1k; training never reads ImageNet through /s3-code.
+- Outputs are isolated under
+  /nfs/ywang29/GmNet/runs/single_seed_followup/<task_id>.
+- RESUME=auto and strict fixed-last official evaluation are enabled.
+- A nonblocking flock covers the full training/evaluation command, preventing
+  concurrent writers while still allowing a later interrupted run to resume.
+- scripts/init_run.sh retains the LongLive export block verbatim.
+
+The historical ReLU6 and learned-smooth checkpoints are accepted only as
+operational single-seed references. Their checkpoints, official artifacts,
+data manifests, logs, resolved configs, and semantic projections are
+hash-checked, but their launch-time code provenance was unfrozen.
+
+## Interpretation
+
+no_gate measures the total importance of the complete self-gated operator; it
+does not isolate multiplication alone. relu6_only is the direct test of
+input-dependent self-multiplication beyond pointwise clipping. fixed_c6
+separates a trainable controller from a matched fixed cap. These are
+single-seed effect-size diagnostics, so small differences must not be reported
+as equivalence or non-inferiority.
+
+This batch does not establish gate-feature alignment. Matched retraining with
+model-native stop-gradient and fixed channel derangement is specified in
+journal_exp/docs/E4_MATCHED_ALIGNMENT_LONG_RUN.md and intentionally has no
+launch YAML yet.
+
+## Regenerate And Check
+
+    cd /nfs/ywang29/GmNet/journal_exp
+    /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py
+    /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --check
+
+Generation only prepares files. It does not call launchjob.
diff --git a/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e0_s3_release_paperbn_seed0.json b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e0_s3_release_paperbn_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..8965a7da221e67f0589ed01f616074b73f90896b
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e0_s3_release_paperbn_seed0.json
@@ -0,0 +1,11 @@
+{
+  "approval_basis": "manual_conditional_trigger_acknowledgement",
+  "approved_at_utc": "2026-07-15T21:38:58.424680+00:00",
+  "code_sha256": "4e1c0a36f2cf2e7dfb0df8f5dcfe589f3d6a2837a71d2bdda37a66109ea75b7e",
+  "config_path": "configs/e0_baseline/imagenet_gmnet_s3_release_paper_bn.yaml",
+  "output_dir": "/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e0_s3_release_paperbn_seed0",
+  "protocol_id": "imagenet-single-seed-followup-20260715",
+  "schema_version": 1,
+  "status": "approved",
+  "task_id": "ssfu_e0_s3_release_paperbn_seed0"
+}
diff --git a/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_no_gate_seed0.json b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_no_gate_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..24eda81120c00004a121f4b3913fe84ff74103fe
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_no_gate_seed0.json
@@ -0,0 +1,11 @@
+{
+  "approval_basis": "registered_ready_task",
+  "approved_at_utc": "2026-07-15T00:00:00Z",
+  "code_sha256": "4e1c0a36f2cf2e7dfb0df8f5dcfe589f3d6a2837a71d2bdda37a66109ea75b7e",
+  "config_path": "configs/e3_gate/imagenet_gmnet_s3_no_gate.yaml",
+  "output_dir": "/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_no_gate_seed0",
+  "protocol_id": "imagenet-single-seed-followup-20260715",
+  "schema_version": 1,
+  "status": "approved",
+  "task_id": "ssfu_e3_s3_no_gate_seed0"
+}
diff --git a/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_relu6_only_seed0.json b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_relu6_only_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..1b86ae465abf27af771746e02795fb34b8158d52
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_relu6_only_seed0.json
@@ -0,0 +1,11 @@
+{
+  "approval_basis": "registered_ready_task",
+  "approved_at_utc": "2026-07-15T00:00:00Z",
+  "code_sha256": "4e1c0a36f2cf2e7dfb0df8f5dcfe589f3d6a2837a71d2bdda37a66109ea75b7e",
+  "config_path": "configs/e3_gate/imagenet_gmnet_s3_relu6_only.yaml",
+  "output_dir": "/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_relu6_only_seed0",
+  "protocol_id": "imagenet-single-seed-followup-20260715",
+  "schema_version": 1,
+  "status": "approved",
+  "task_id": "ssfu_e3_s3_relu6_only_seed0"
+}
diff --git a/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_smooth_fixed_c6_seed0.json b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_smooth_fixed_c6_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..ce8618985758878f7d140d64168c6b064499f2e1
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/approvals/ssfu_e3_s3_smooth_fixed_c6_seed0.json
@@ -0,0 +1,11 @@
+{
+  "approval_basis": "registered_ready_task",
+  "approved_at_utc": "2026-07-15T00:00:00Z",
+  "code_sha256": "4e1c0a36f2cf2e7dfb0df8f5dcfe589f3d6a2837a71d2bdda37a66109ea75b7e",
+  "config_path": "configs/e3_gate/imagenet_gmnet_s3_smooth_fixed_c6.yaml",
+  "output_dir": "/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_smooth_fixed_c6_seed0",
+  "protocol_id": "imagenet-single-seed-followup-20260715",
+  "schema_version": 1,
+  "status": "approved",
+  "task_id": "ssfu_e3_s3_smooth_fixed_c6_seed0"
+}
diff --git a/gmnet/deploy/single_seed_followup_20260715/batch_manifest.yaml b/gmnet/deploy/single_seed_followup_20260715/batch_manifest.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e6d3d16970de204fdc9aaec49686ce8d1bbbbc69
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/batch_manifest.yaml
@@ -0,0 +1,134 @@
+# Generated by journal_exp/scripts/generate_single_seed_followup.py; do not edit.
+schema_version: 1
+protocol_id: imagenet-single-seed-followup-20260715
+protocol_source: /nfs/ywang29/GmNet/journal_exp/configs/single_seed_followup_protocol.yaml
+generated_by: /nfs/ywang29/GmNet/journal_exp/scripts/generate_single_seed_followup.py
+source_template: /nfs/ywang29/LongLive/deploy/jul11_vgp/j11_vgp01_base.yaml
+code_manifest: /nfs/ywang29/GmNet/journal_exp/configs/imagenet_v2_code_manifest.json
+code_sha256: 4e1c0a36f2cf2e7dfb0df8f5dcfe589f3d6a2837a71d2bdda37a66109ea75b7e
+relationship_to_parent: Separate exploratory follow-up. Historical seed-0 runs are accepted only as operational aliases and descriptive controls; they are not retroactively promoted to frozen-code ImageNet-v2 confirmatory runs.
+post_hoc_registration:
+  results_known_before_registration: true
+  known_seed0_top1:
+    relu6_self: 78.746
+    relu_self: 78.568
+    gelu_self: 78.664
+    learned_smooth: 78.67
+  restrictions:
+  - No seed-level confidence interval or significance claim.
+  - No contribution to the parent protocol's Holm family.
+  - Report fixed final checkpoints even when the direction is unfavorable.
+  - Gate-feature alignment remains untested by this batch.
+policy:
+  seed: 0
+  seed_replication_in_scope: false
+  one_job_per_yaml: true
+  gpus_per_job: 8
+  eta_class: greater_than_12h
+  checkpoint_policy: fixed_last
+  resume: auto
+  post_eval: strict_official
+  approval_marker_required_for_every_task: true
+  launchjob_submitted_by_preparation: false
+  output_lock: nonblocking_flock
+data:
+  runtime_root: /tmp/gmnet_data/imagenet-1k
+  source_archive_uri: s3://snap-research-cv-code/ywang29/datasets/imagenet-1k/imagenet-1k.tar
+  expected_archive_bytes: 161381969920
+  canonical_manifest_sha256: bb70bc9f530db6bb24f70e648624b35281bfbc76a57775d589a2e0209dd98661
+  train_sample_index_sha256: e74104e28ef79fff114e729e81d050a7b4f0c294c4d82345bad13c320d7255b2
+  val_sample_index_sha256: 5ed16b5cd3ebd64e90cd7a8380b4e19d4c0d82eedcca3489dfa29313ce88d6f6
+  train_sampled_content_sha256: dea27b5dbcb5f110ed47c075d473ebd0f6aefc446b45ab1e62d8246f2a153798
+  val_sampled_content_sha256: d80a57419bc9396df7c01e29a2b17698c02c3a9a68dc4006a1fe87ef129ed166
+  expected_train_samples: 1281167
+  expected_val_samples: 50000
+run_root: /nfs/ywang29/GmNet/runs/single_seed_followup
+summary:
+  task_count: 4
+  initially_approved_count: 3
+  conditional_count: 1
+tasks:
+- task_id: ssfu_e3_s3_no_gate_seed0
+  experiment: E3
+  model: s3
+  gate: no_gate
+  seed: 0
+  config_path: configs/e3_gate/imagenet_gmnet_s3_no_gate.yaml
+  role: exploratory_operator_ablation
+  status: ready
+  submission_allowed: true
+  evidence:
+  - legacy_relu6_s3_seed0
+  contrast: no_gate minus historical ReLU6 self-gate
+  question: Does removing the complete gated operator cause a material loss?
+  trigger: null
+  deploy_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/ssfu_e3_s3_no_gate_seed0.yaml
+  approval_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/approvals/ssfu_e3_s3_no_gate_seed0.json
+  output_dir: /nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_no_gate_seed0
+  job_name: gmnet-ssfu-e3-s3-no-gate-seed0
+  eta_class: '>12h'
+- task_id: ssfu_e3_s3_relu6_only_seed0
+  experiment: E3
+  model: s3
+  gate: relu6_only
+  seed: 0
+  config_path: configs/e3_gate/imagenet_gmnet_s3_relu6_only.yaml
+  role: exploratory_operator_ablation
+  status: ready
+  submission_allowed: true
+  evidence:
+  - legacy_relu6_s3_seed0
+  contrast: ReLU6-only minus historical ReLU6 self-gate
+  question: Does input-dependent self-multiplication add value beyond clipping alone?
+  trigger: null
+  deploy_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/ssfu_e3_s3_relu6_only_seed0.yaml
+  approval_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/approvals/ssfu_e3_s3_relu6_only_seed0.json
+  output_dir: /nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_relu6_only_seed0
+  job_name: gmnet-ssfu-e3-s3-relu6-only-seed0
+  eta_class: '>12h'
+- task_id: ssfu_e3_s3_smooth_fixed_c6_seed0
+  experiment: E3
+  model: s3
+  gate: smooth_clipped_self_fixed_c6
+  seed: 0
+  config_path: configs/e3_gate/imagenet_gmnet_s3_smooth_fixed_c6.yaml
+  role: exploratory_clipping_diagnostic
+  status: ready
+  submission_allowed: true
+  evidence:
+  - legacy_relu6_s3_seed0
+  - legacy_learned_smooth_s3_seed0
+  contrast: fixed-c6 minus learned-smooth and historical ReLU6 self-gate
+  question: Is learned controllable clipping useful beyond a matched fixed cap?
+  trigger: null
+  deploy_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/ssfu_e3_s3_smooth_fixed_c6_seed0.yaml
+  approval_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/approvals/ssfu_e3_s3_smooth_fixed_c6_seed0.json
+  output_dir: /nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_smooth_fixed_c6_seed0
+  job_name: gmnet-ssfu-e3-s3-smooth-fixed-c6-seed0
+  eta_class: '>12h'
+- task_id: ssfu_e0_s3_release_paperbn_seed0
+  experiment: E0
+  model: s3
+  gate: relu6_self
+  seed: 0
+  config_path: configs/e0_baseline/imagenet_gmnet_s3_release_paper_bn.yaml
+  role: conditional_recipe_audit
+  status: conditional
+  submission_allowed: false
+  evidence:
+  - legacy_relu6_s3_seed0
+  contrast: release-hyperparameter paper-BN recipe minus paper-table recipe
+  question: Can release hyperparameters explain the baseline reproduction gap?
+  trigger:
+    evidence: legacy_relu6_s3_seed0
+    metric: top1
+    operator: less_than
+    threshold: 78.8
+    observed: 78.746
+    state: met
+    manual_acknowledgement_required: true
+  deploy_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/ssfu_e0_s3_release_paperbn_seed0.yaml
+  approval_path: /nfs/ywang29/GmNet/depoly/single_seed_followup_20260715/approvals/ssfu_e0_s3_release_paperbn_seed0.json
+  output_dir: /nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e0_s3_release_paperbn_seed0
+  job_name: gmnet-ssfu-e0-s3-release-paperbn-seed0
+  eta_class: '>12h'
diff --git a/gmnet/deploy/single_seed_followup_20260715/completion_seal.json b/gmnet/deploy/single_seed_followup_20260715/completion_seal.json
new file mode 100644
index 0000000000000000000000000000000000000000..935077daf698452c66b4de69219dc95b1a7361c2
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/completion_seal.json
@@ -0,0 +1,48 @@
+{
+  "schema_version": 1,
+  "sealed_at_utc": "2026-07-16T18:58:16Z",
+  "status": "completed_4_of_4",
+  "historical_code_manifest": {
+    "path": "/nfs/ywang29/GmNet/journal_exp/configs/imagenet_v2_code_manifest.json",
+    "file_sha256": "eb2150671596a108282a80705ec5c2020b0d2a8b22248c75dc1aa4f2f750f08a",
+    "code_sha256": "4e1c0a36f2cf2e7dfb0df8f5dcfe589f3d6a2837a71d2bdda37a66109ea75b7e",
+    "provenance_policy": "historical_immutable_do_not_regenerate"
+  },
+  "launch_artifacts_sha256": {
+    "batch_manifest.yaml": "54e6ef067b7155ab98633de58c941137a696813a7397681cf40b2380db328786",
+    "ssfu_e0_s3_release_paperbn_seed0.yaml": "983994bf7f519724882ee8ead0c2f12715dd71043bccb81ebf83b39df655ef9f",
+    "ssfu_e3_s3_no_gate_seed0.yaml": "24cc85ce69588e1ec84a079bfe7b94c15283b735297c69875cfb6e129d74c20f",
+    "ssfu_e3_s3_relu6_only_seed0.yaml": "4d281d2e7342d93d70cc5f9721f6d0a503f94b8d320932c98f1554bc22bf51f1",
+    "ssfu_e3_s3_smooth_fixed_c6_seed0.yaml": "c0a630448735ea9cf432df393eede581be851de5d5d6f6a39bc2ae3367081469",
+    "approvals/ssfu_e0_s3_release_paperbn_seed0.json": "86a92ed4dcebdc0d8b8fe836c4c83afb84a24623cd276508cce8e83be81c91de",
+    "approvals/ssfu_e3_s3_no_gate_seed0.json": "45ed1f4ca7cd18f5410c870c89fc042926507f81c882c3a37535ab74635d638a",
+    "approvals/ssfu_e3_s3_relu6_only_seed0.json": "d5ffa4abeac8195e85ceb1d3c5bcc1bdf20dcb31b0564a24d0ea9d868c9e7683",
+    "approvals/ssfu_e3_s3_smooth_fixed_c6_seed0.json": "e73e21698ee065b43fe95b7cc4c0fdfb5aab5392839b56934cb18ebd06474327"
+  },
+  "runs": {
+    "ssfu_e0_s3_release_paperbn_seed0": {
+      "checkpoint_sha256": "fc8342bad408b9a4ef15403498ef4c3838935fe765c75ae01d8f87cb36b22bae",
+      "official_checks_file_sha256": "f4720ba8c0e6ed66bedb6ad27a2aaf46d7eac554fce986c65e532a63e8c4fdde",
+      "official_results_file_sha256": "b933f0164e0af270444339291c0cc94e13327ecdd603986fa28c5dfc568331aa",
+      "top1": 79.158
+    },
+    "ssfu_e3_s3_no_gate_seed0": {
+      "checkpoint_sha256": "b96215674ffb74f6551effffebd57291b12e89469cb476b13c96c2ee663ead98",
+      "official_checks_file_sha256": "f44c53683d2d481f0dabe89a118f2653c1edad263c342082298b33e67281192d",
+      "official_results_file_sha256": "5424c81d7e9aa53d584727bc710fdd9bb954abc2568a4343612ee8e8a7fce1c7",
+      "top1": 14.376
+    },
+    "ssfu_e3_s3_relu6_only_seed0": {
+      "checkpoint_sha256": "b55fdbe4b29fd863359861aadcc005868b09f2abe758276fef1126a4870e4f6f",
+      "official_checks_file_sha256": "6ff00eba9274a7fb58a576a437e96ba440bb2c8338455a1764a3b578218004ff",
+      "official_results_file_sha256": "050ba81bd8e05d1f2249a917d1267199daa7dd4d11dd5d37866ea0a87641f1b1",
+      "top1": 78.122
+    },
+    "ssfu_e3_s3_smooth_fixed_c6_seed0": {
+      "checkpoint_sha256": "7445b3a1e60470c0e6d73f5d85343276413fedab924aeaa778f9f335da02d77f",
+      "official_checks_file_sha256": "666892c673abbab3dd378729b25018710d5c3df74e42a557460cda9c07b52161",
+      "official_results_file_sha256": "78bc6faac02e4193d802f21ba07f8a853f1634970382fd35c71c1749f44911b6",
+      "top1": 78.798
+    }
+  }
+}
diff --git a/gmnet/deploy/single_seed_followup_20260715/ssfu_e0_s3_release_paperbn_seed0.yaml b/gmnet/deploy/single_seed_followup_20260715/ssfu_e0_s3_release_paperbn_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cbd434a7a4c35ddaea1b1ce88da48ecc9b98429c
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/ssfu_e0_s3_release_paperbn_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_single_seed_followup.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e0_s3_release_paperbn_seed0 --require-approval && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e0_s3_release_paperbn_seed0 --require-approval && RUN_NAME=ssfu_e0_s3_release_paperbn_seed0 CONFIG_PATH=configs/e0_baseline/imagenet_gmnet_s3_release_paper_bn.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e0_s3_release_paperbn_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/run_single_seed_followup.sh
+  jobs:
+  - name: gmnet-ssfu-e0-s3-release-paperbn-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_no_gate_seed0.yaml b/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_no_gate_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d1cc48abb83d422e7e88f0f7de3b48084a1b306
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_no_gate_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_single_seed_followup.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e3_s3_no_gate_seed0 --require-approval && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e3_s3_no_gate_seed0 --require-approval && RUN_NAME=ssfu_e3_s3_no_gate_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_no_gate.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_no_gate_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/run_single_seed_followup.sh
+  jobs:
+  - name: gmnet-ssfu-e3-s3-no-gate-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_relu6_only_seed0.yaml b/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_relu6_only_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3df546bf9b23f3ab5bd0c0f7a0b924a7fff895bf
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_relu6_only_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_single_seed_followup.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e3_s3_relu6_only_seed0 --require-approval && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e3_s3_relu6_only_seed0 --require-approval && RUN_NAME=ssfu_e3_s3_relu6_only_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_relu6_only.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_relu6_only_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/run_single_seed_followup.sh
+  jobs:
+  - name: gmnet-ssfu-e3-s3-relu6-only-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_smooth_fixed_c6_seed0.yaml b/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_smooth_fixed_c6_seed0.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..30063c319c200f700f16e26fdc48043c50b91170
--- /dev/null
+++ b/gmnet/deploy/single_seed_followup_20260715/ssfu_e3_s3_smooth_fixed_c6_seed0.yaml
@@ -0,0 +1,45 @@
+# Generated by journal_exp/scripts/generate_single_seed_followup.py; do not edit.
+gpu_type: nvidia-tesla-a100
+gpu_num: '8'
+gpu_memory: '80'
+cpu_num: '88'
+memory: '880.0'
+efa: false
+priority: gpu-high
+pytorchjob:
+  replicas: 1
+custom_node_labels:
+  snap.com/zone: us-west-2c
+  snap.com/ami_type: al2023
+volcano_queue: mobile-video-backbone
+script:
+  pre_run_event: cd /nfs/ywang29/GmNet/journal_exp && chmod +x ./scripts/*.sh && INSTALL_DEV=0 bash ./scripts/setup_env.sh && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e3_s3_smooth_fixed_c6_seed0 --require-approval && KEEP_ARCHIVE=0 bash ./scripts/stage_imagenet.sh full
+  command: cd /nfs/ywang29/GmNet/journal_exp && /tmp/gmnet_venv/bin/python scripts/generate_single_seed_followup.py --verify-task ssfu_e3_s3_smooth_fixed_c6_seed0 --require-approval && RUN_NAME=ssfu_e3_s3_smooth_fixed_c6_seed0 CONFIG_PATH=configs/e3_gate/imagenet_gmnet_s3_smooth_fixed_c6.yaml DATA_ROOT=/tmp/gmnet_data/imagenet-1k OUTPUT_DIR=/nfs/ywang29/GmNet/runs/single_seed_followup/ssfu_e3_s3_smooth_fixed_c6_seed0 SEED=0 NPROC_PER_NODE=8 RESUME=auto POST_EVAL=1 CODE_MANIFEST_PATH=configs/imagenet_v2_code_manifest.json bash scripts/run_single_seed_followup.sh
+  jobs:
+  - name: gmnet-ssfu-e3-s3-smooth-fixed-c6-seed0
+project_name: mobile_video
+project_support_alias: ywang29
+team: creative_vision
+cost_team: generative_ai
+cost_feature: generative_ai_development
+cost_sub_feature: video_generation
+docker_image: 763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2
+mount:
+- type: s3
+  name: snap-research-cv-code
+  mount_path: /s3-code
+- type: fsx
+  name: fs-0aec9ce19ecc66a45
+  mount_path: /nfs
+- type: fsx
+  name: fs-0a730854e147a7bc2
+  mount_path: /nfs-generative-one-shot
+- type: fsx
+  name: fs-0edcd5941d62ce319
+  mount_path: /snaphub
+- type: s3
+  name: snap-genvid
+  mount_path: /snap-genvid
+- type: s3
+  name: snap-genvid-us-east-2
+  mount_path: /snap-genvid-us-east-2
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_b_seed0.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_b_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d8c76d657458cea06c87a27b92b18d1c4d243c6
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_b_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "B",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_baseline.yaml",
+  "gate_intervention": "baseline",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_b_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "b8780db0108691244630ed3d0d7f92b72cdb6e89281eca7a374f073324d7bf5e",
+  "smoke_checkpoint_last_sha256": "74ae4841827b61a942cdcd280cdd4f61b0e20702e851e3efffa131577d4d4e3a",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_baseline.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_b_seed0"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_d_seed0.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_d_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..3eda0f14002af4732f1e6975b042bf7dc4323edb
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_d_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "D",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_batch_derangement.yaml",
+  "gate_intervention": "batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_d_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "998d0e1a875140d64eff92b1abd53aea2def2f838d8218e612eca81026ff6546",
+  "smoke_checkpoint_last_sha256": "53fbd60db0eedb52b9df79fe70f40b8df34ce185a682447247ebfc8bc11073a8",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_d_seed0"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_dd_seed0.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_dd_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..942a677d0216fe117216fe7e2c7538f637c87481
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_dd_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "DD",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_stopgrad_batch_derangement.yaml",
+  "gate_intervention": "stop_gradient_batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_dd_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "15ea9f03f573c9d76906b21d6a3172fd8a7d7c8d53e4ad89895029777bc6b5fc",
+  "smoke_checkpoint_last_sha256": "5b59f663b57b4e42270edfa3bdb068f45d8f0f3e99ca2d373594eeeb6db28a79",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_dd_seed0"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_s_seed0.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_s_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..ddcc257eedc04fab5789b6a33406ef657898facd
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s1_s_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "S",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_stop_gradient.yaml",
+  "gate_intervention": "stop_gradient",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_s_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "35d255bc1f35fc8fc41b0cedeaaae1904a5fdaca090ce713603c9b5685cfc0fc",
+  "smoke_checkpoint_last_sha256": "1e41cc559d29b8e0a66f52e6970a260bbc058d115501db29959d70899a4d506e",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stop_gradient.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_s_seed0"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_b_seed1.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_b_seed1.json
new file mode 100644
index 0000000000000000000000000000000000000000..8353581a7e9a4255c698dc6b0c011f20b5bd6a90
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_b_seed1.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "B",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_baseline.yaml",
+  "gate_intervention": "baseline",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_b_seed1",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 1,
+  "smoke_checkpoint_epoch0_sha256": "b8780db0108691244630ed3d0d7f92b72cdb6e89281eca7a374f073324d7bf5e",
+  "smoke_checkpoint_last_sha256": "74ae4841827b61a942cdcd280cdd4f61b0e20702e851e3efffa131577d4d4e3a",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_baseline.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_b_seed1"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_b_seed2.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_b_seed2.json
new file mode 100644
index 0000000000000000000000000000000000000000..b198c3afc8adba53caeaa6ed2662b96f85c2bee6
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_b_seed2.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "B",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_baseline.yaml",
+  "gate_intervention": "baseline",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_b_seed2",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 2,
+  "smoke_checkpoint_epoch0_sha256": "b8780db0108691244630ed3d0d7f92b72cdb6e89281eca7a374f073324d7bf5e",
+  "smoke_checkpoint_last_sha256": "74ae4841827b61a942cdcd280cdd4f61b0e20702e851e3efffa131577d4d4e3a",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_baseline.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_b_seed2"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_c_seed1.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_c_seed1.json
new file mode 100644
index 0000000000000000000000000000000000000000..6eff4c7a2a7c26bd18e83d09425cf7b21268303b
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_c_seed1.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "C",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_channel_derangement.yaml",
+  "gate_intervention": "channel_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_c_seed1",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 1,
+  "smoke_checkpoint_epoch0_sha256": "2abfccced736e2c6c4c086822f9861ea49096a92cdd9fbee6368a12a98eea546",
+  "smoke_checkpoint_last_sha256": "908ca3955c365cbbb675ac6d279033c97c7b67378994aff065b4b00bf2d0cd25",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_channel_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_c_seed1"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_c_seed2.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_c_seed2.json
new file mode 100644
index 0000000000000000000000000000000000000000..8cb3830ea36003097ea07cb00f591ccf97c1c5fc
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_c_seed2.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "C",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_channel_derangement.yaml",
+  "gate_intervention": "channel_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_c_seed2",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 2,
+  "smoke_checkpoint_epoch0_sha256": "2abfccced736e2c6c4c086822f9861ea49096a92cdd9fbee6368a12a98eea546",
+  "smoke_checkpoint_last_sha256": "908ca3955c365cbbb675ac6d279033c97c7b67378994aff065b4b00bf2d0cd25",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_channel_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_c_seed2"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_d_seed1.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_d_seed1.json
new file mode 100644
index 0000000000000000000000000000000000000000..faa87fba85fd75019bec2b0260b0ec3a39912b68
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_d_seed1.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "D",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_batch_derangement.yaml",
+  "gate_intervention": "batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_d_seed1",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 1,
+  "smoke_checkpoint_epoch0_sha256": "998d0e1a875140d64eff92b1abd53aea2def2f838d8218e612eca81026ff6546",
+  "smoke_checkpoint_last_sha256": "53fbd60db0eedb52b9df79fe70f40b8df34ce185a682447247ebfc8bc11073a8",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_d_seed1"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_d_seed2.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_d_seed2.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e915f1022eaef5207066cc1e98a4700c08da936
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_d_seed2.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "D",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_batch_derangement.yaml",
+  "gate_intervention": "batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_d_seed2",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 2,
+  "smoke_checkpoint_epoch0_sha256": "998d0e1a875140d64eff92b1abd53aea2def2f838d8218e612eca81026ff6546",
+  "smoke_checkpoint_last_sha256": "53fbd60db0eedb52b9df79fe70f40b8df34ce185a682447247ebfc8bc11073a8",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_d_seed2"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed0.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..1ca4f2041b4b4ecbba8aa28ccfd2c54a20b24636
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "DD",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stopgrad_batch_derangement.yaml",
+  "gate_intervention": "stop_gradient_batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_dd_seed0",
+  "phase": "phase_a_complete_seed0",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "15ea9f03f573c9d76906b21d6a3172fd8a7d7c8d53e4ad89895029777bc6b5fc",
+  "smoke_checkpoint_last_sha256": "5b59f663b57b4e42270edfa3bdb068f45d8f0f3e99ca2d373594eeeb6db28a79",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_dd_seed0"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed1.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed1.json
new file mode 100644
index 0000000000000000000000000000000000000000..06327a083f3de081aba92ca6595e8800b142cae8
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed1.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "DD",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stopgrad_batch_derangement.yaml",
+  "gate_intervention": "stop_gradient_batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_dd_seed1",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 1,
+  "smoke_checkpoint_epoch0_sha256": "15ea9f03f573c9d76906b21d6a3172fd8a7d7c8d53e4ad89895029777bc6b5fc",
+  "smoke_checkpoint_last_sha256": "5b59f663b57b4e42270edfa3bdb068f45d8f0f3e99ca2d373594eeeb6db28a79",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_dd_seed1"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed2.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed2.json
new file mode 100644
index 0000000000000000000000000000000000000000..3714f44868bd73f93a041b23c1572366b4e52ffa
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_dd_seed2.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "DD",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stopgrad_batch_derangement.yaml",
+  "gate_intervention": "stop_gradient_batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_dd_seed2",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 2,
+  "smoke_checkpoint_epoch0_sha256": "15ea9f03f573c9d76906b21d6a3172fd8a7d7c8d53e4ad89895029777bc6b5fc",
+  "smoke_checkpoint_last_sha256": "5b59f663b57b4e42270edfa3bdb068f45d8f0f3e99ca2d373594eeeb6db28a79",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_dd_seed2"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_s_seed1.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_s_seed1.json
new file mode 100644
index 0000000000000000000000000000000000000000..bfe124cfc2e93135e5ae6a3b34fa253e6f301222
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_s_seed1.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "S",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stop_gradient.yaml",
+  "gate_intervention": "stop_gradient",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_s_seed1",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 1,
+  "smoke_checkpoint_epoch0_sha256": "35d255bc1f35fc8fc41b0cedeaaae1904a5fdaca090ce713603c9b5685cfc0fc",
+  "smoke_checkpoint_last_sha256": "1e41cc559d29b8e0a66f52e6970a260bbc058d115501db29959d70899a4d506e",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stop_gradient.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_s_seed1"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_s_seed2.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_s_seed2.json
new file mode 100644
index 0000000000000000000000000000000000000000..99c6c4744e460d712c585c50e1dfadf4347fbdba
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_s_seed2.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "S",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stop_gradient.yaml",
+  "gate_intervention": "stop_gradient",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_s_seed2",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 2,
+  "smoke_checkpoint_epoch0_sha256": "35d255bc1f35fc8fc41b0cedeaaae1904a5fdaca090ce713603c9b5685cfc0fc",
+  "smoke_checkpoint_last_sha256": "1e41cc559d29b8e0a66f52e6970a260bbc058d115501db29959d70899a4d506e",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stop_gradient.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_s_seed2"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_sc_seed1.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_sc_seed1.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5ca024f65d77ba15f8bd1b9f33e370223815f50
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_sc_seed1.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "SC",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stopgrad_channel_derangement.yaml",
+  "gate_intervention": "stop_gradient_channel_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_sc_seed1",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 1,
+  "smoke_checkpoint_epoch0_sha256": "52c2c772d58476ed871d04e28816e64eaac2f163d527d9e286585f31cf803812",
+  "smoke_checkpoint_last_sha256": "f30a69eb478909711ae0d5df64f194840d8191467a3ccc9cd7b052fb652c7eb7",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_channel_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_sc_seed1"
+}
diff --git a/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_sc_seed2.json b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_sc_seed2.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6cdcd442963bd65b439c1697fc5291d1f345312
--- /dev/null
+++ b/gmnet/deploy/tpami_confirmatory_20260720/approvals/tpami_s3_sc_seed2.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "SC",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stopgrad_channel_derangement.yaml",
+  "gate_intervention": "stop_gradient_channel_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_sc_seed2",
+  "phase": "phase_b_training_seed_replication",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 2,
+  "smoke_checkpoint_epoch0_sha256": "52c2c772d58476ed871d04e28816e64eaac2f163d527d9e286585f31cf803812",
+  "smoke_checkpoint_last_sha256": "f30a69eb478909711ae0d5df64f194840d8191467a3ccc9cd7b052fb652c7eb7",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_channel_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_sc_seed2"
+}
diff --git a/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_b_seed0.json b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_b_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d8c76d657458cea06c87a27b92b18d1c4d243c6
--- /dev/null
+++ b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_b_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "B",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_baseline.yaml",
+  "gate_intervention": "baseline",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_b_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "b8780db0108691244630ed3d0d7f92b72cdb6e89281eca7a374f073324d7bf5e",
+  "smoke_checkpoint_last_sha256": "74ae4841827b61a942cdcd280cdd4f61b0e20702e851e3efffa131577d4d4e3a",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_baseline.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_b_seed0"
+}
diff --git a/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_d_seed0.json b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_d_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..3eda0f14002af4732f1e6975b042bf7dc4323edb
--- /dev/null
+++ b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_d_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "D",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_batch_derangement.yaml",
+  "gate_intervention": "batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_d_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "998d0e1a875140d64eff92b1abd53aea2def2f838d8218e612eca81026ff6546",
+  "smoke_checkpoint_last_sha256": "53fbd60db0eedb52b9df79fe70f40b8df34ce185a682447247ebfc8bc11073a8",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_d_seed0"
+}
diff --git a/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_dd_seed0.json b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_dd_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..942a677d0216fe117216fe7e2c7538f637c87481
--- /dev/null
+++ b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_dd_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "DD",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_stopgrad_batch_derangement.yaml",
+  "gate_intervention": "stop_gradient_batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_dd_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "15ea9f03f573c9d76906b21d6a3172fd8a7d7c8d53e4ad89895029777bc6b5fc",
+  "smoke_checkpoint_last_sha256": "5b59f663b57b4e42270edfa3bdb068f45d8f0f3e99ca2d373594eeeb6db28a79",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_dd_seed0"
+}
diff --git a/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_s_seed0.json b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_s_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..ddcc257eedc04fab5789b6a33406ef657898facd
--- /dev/null
+++ b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s1_s_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "S",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s1_stop_gradient.yaml",
+  "gate_intervention": "stop_gradient",
+  "gate_intervention_seed": 41041,
+  "model": "s1",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s1_s_seed0",
+  "phase": "phase_c_second_scale",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "35d255bc1f35fc8fc41b0cedeaaae1904a5fdaca090ce713603c9b5685cfc0fc",
+  "smoke_checkpoint_last_sha256": "1e41cc559d29b8e0a66f52e6970a260bbc058d115501db29959d70899a4d506e",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stop_gradient.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s1_s_seed0"
+}
diff --git a/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s3_dd_seed0.json b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s3_dd_seed0.json
new file mode 100644
index 0000000000000000000000000000000000000000..1ca4f2041b4b4ecbba8aa28ccfd2c54a20b24636
--- /dev/null
+++ b/gmnet/deploy/tpami_seed0_20260720/approvals/tpami_s3_dd_seed0.json
@@ -0,0 +1,27 @@
+{
+  "approval_basis": "passed_8gpu_batch2_strict_resume_smoke",
+  "arm": "DD",
+  "code_manifest_path": "configs/code_manifests/tpami_confirmatory_20260720.json",
+  "code_manifest_sha256": "8b4b76e55d8ab69bf76dc61706d60d87e7bb0c8fe0427dec6bd1db773804de88",
+  "code_root": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code",
+  "code_sha256": "643343701e8715a13fc38e4385cb08b1ae1988647071300127176c24a2f47b37",
+  "config_path": "configs/tpami_confirmatory/imagenet_gmnet_s3_stopgrad_batch_derangement.yaml",
+  "gate_intervention": "stop_gradient_batch_derangement",
+  "gate_intervention_seed": 41041,
+  "model": "s3",
+  "output_dir": "/nfs/ywang29/GmNet/runs/tpami_confirmatory_20260720/tpami_s3_dd_seed0",
+  "phase": "phase_a_complete_seed0",
+  "protocol_id": "imagenet-tpami-confirmatory-mechanism-20260720",
+  "protocol_path": "/nfs/ywang29/GmNet/tpami_confirmatory_20260720/code/configs/tpami_confirmatory_protocol.yaml",
+  "protocol_sha256": "53d614fe9be4a976330f201e84240dd779af8a0ac97b86f584f0627d643879bb",
+  "schema_version": 1,
+  "seed": 0,
+  "smoke_checkpoint_epoch0_sha256": "15ea9f03f573c9d76906b21d6a3172fd8a7d7c8d53e4ad89895029777bc6b5fc",
+  "smoke_checkpoint_last_sha256": "5b59f663b57b4e42270edfa3bdb068f45d8f0f3e99ca2d373594eeeb6db28a79",
+  "smoke_config_path": "configs/smoke/imagenet5_tpami_stopgrad_batch_derangement.yaml",
+  "smoke_data_manifest_sha256": "103c257d284318cbdb55c002a8b423dd581a42152cdc6e3bd94c2dc6cfa203fa",
+  "smoke_evidence_path": "/nfs/ywang29/GmNet/depoly/tpami_confirmatory_20260720/smoke_evidence.json",
+  "smoke_evidence_sha256": "8c8b8ec6ffc4912f1c4b957de54f7c9c554534ee4ffc8afa596fe7afeb13c0c0",
+  "status": "approved",
+  "task_id": "tpami_s3_dd_seed0"
+}