diff --git "a/applied/_index/APPLIED_RUNS_INDEX.json" "b/applied/_index/APPLIED_RUNS_INDEX.json"
--- "a/applied/_index/APPLIED_RUNS_INDEX.json"
+++ "b/applied/_index/APPLIED_RUNS_INDEX.json"
@@ -657,155 +657,62 @@
     }
   },
   {
-    "key": "opt02_seenn_bayes/conf_sweep_fine",
-    "tag": "conf_sweep_fine",
-    "script": "opt02_seenn_bayes.py",
-    "hf_folder": "applied/opt02_seenn_bayes",
-    "phase": 7,
+    "key": "opt03_ftbc_threshold_balance/control_baseline",
+    "tag": "control_baseline",
+    "script": "opt03_ftbc_threshold_balance.py",
+    "hf_folder": "applied/opt03_ftbc_threshold_balance",
+    "phase": 1,
     "status": "ok",
-    "duration_s": 909.8,
+    "duration_s": 321.7,
     "optimization_summary": {
-      "optimization": "seenn_early_exit_bayesian_fusion",
-      "research_section": "2. Temporal-dimension reduction",
-      "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
-      "script": "opt02_seenn_bayes.py",
-      "baseline_mode": false,
+      "optimization": "ftbc_threshold_balance",
+      "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
+      "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
+      "script": "opt03_ftbc_threshold_balance.py",
+      "baseline_mode": true,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.9342857142857143,
-        "test_target_acc": 0.9342857142857143,
-        "best_val_acc": 0.9285714285714286
+        "test_acc": 0.9421428571428572,
+        "test_target_acc": 0.9421428571428572,
+        "best_val_acc": 0.945
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 3615247.340909091,
-        "dense_macs_per_inference": 123955200.0,
-        "event_fraction_of_dense": 0.02916575779724522,
-        "syn_ops_per_inference_dense_fanout": 65191865.127435066,
+        "syn_ops_per_inference": 3271536.9975649347,
+        "dense_macs_per_inference": 122675200.0,
+        "event_fraction_of_dense": 0.026668283382174512,
+        "syn_ops_per_inference_dense_fanout": 64848154.78409091,
         "weight_sparsity": 0.7324707846410685,
-        "effective_ticks": 8.057142857142857,
+        "effective_ticks": 12.079285714285714,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 180.51012754440308,
-        "infer_ms_per_sample": 0.6378180717104044,
-        "peak_vram_mb": 10915.470336,
-        "syn_ops_per_inference_early_exit": 1822430.1501623376
+        "train_ms_per_step": 94.71398885000326,
+        "infer_ms_per_sample": 0.6264105418749466,
+        "peak_vram_mb": 2828.282368
       },
       "optimization_specific": {
-        "seenn_enabled": true,
-        "bayes_fusion_enabled": true,
-        "conf_threshold": 0.9,
-        "conf_temp": 2.0,
-        "anytime_fracs": "0.25,0.5,1.0",
-        "anytime_weights": "0.3,0.3,1.0",
-        "ic_loss_weight": 0.3,
-        "ic_layer": 0,
-        "mean_exit_tick": 8.057142857142857,
-        "mean_exit_ms": 402.85714285714283,
-        "ticks_saved_frac": 0.9194285714285715,
-        "exit_tick_histogram": {
-          "counts": [
-            1022,
-            331,
-            39,
-            5,
-            3,
-            0,
-            0,
-            0,
-            0,
-            0
-          ],
-          "edges": [
-            0.0,
-            10.0,
-            20.0,
-            30.0,
-            40.0,
-            50.0,
-            60.0,
-            70.0,
-            80.0,
-            90.0,
-            100.0
-          ]
-        },
-        "acc_fc_only": 0.9342857142857143,
-        "acc_ic_only": 0.9292857142857143,
-        "acc_fused": 0.94,
-        "acc_early_exit": 0.37714285714285717,
-        "syn_ops_saved_frac": 0.49590443521242755,
-        "syn_per_inference_early_exit": 1822430.1501623376,
-        "anytime_acc": {
-          "0.25": 0.615,
-          "0.5": 0.8142857142857143,
-          "0.75": 0.895,
-          "1.0": 0.9342857142857143
-        },
-        "pareto": [
-          {
-            "conf": 0.3,
-            "mean_ticks": 2.82,
-            "acc": 0.17142857142857143,
-            "syn_ops": 1600944.0178571427
-          },
-          {
-            "conf": 0.4,
-            "mean_ticks": 3.285,
-            "acc": 0.18571428571428572,
-            "syn_ops": 1629355.7386363635
-          },
-          {
-            "conf": 0.5,
-            "mean_ticks": 4.3757142857142854,
-            "acc": 0.24285714285714285,
-            "syn_ops": 1687021.986201299
-          },
-          {
-            "conf": 0.6,
-            "mean_ticks": 4.670714285714285,
-            "acc": 0.2507142857142857,
-            "syn_ops": 1699344.8084415584
-          },
-          {
-            "conf": 0.7,
-            "mean_ticks": 5.075714285714286,
-            "acc": 0.26285714285714284,
-            "syn_ops": 1716703.7767857143
-          },
-          {
-            "conf": 0.8,
-            "mean_ticks": 5.987857142857143,
-            "acc": 0.2914285714285714,
-            "syn_ops": 1753268.2150974027
-          },
-          {
-            "conf": 0.9,
-            "mean_ticks": 8.057142857142857,
-            "acc": 0.37714285714285717,
-            "syn_ops": 1822430.0933441557
-          },
-          {
-            "conf": 0.95,
-            "mean_ticks": 10.176428571428572,
-            "acc": 0.45,
-            "syn_ops": 1882071.5430194808
-          },
-          {
-            "conf": 0.99,
-            "mean_ticks": 14.704285714285714,
-            "acc": 0.5742857142857143,
-            "syn_ops": 1981175.7142857143
-          },
-          {
-            "conf": 0.999,
-            "mean_ticks": 19.547142857142855,
-            "acc": 0.68,
-            "syn_ops": 2074480.44237013
-          }
-        ]
+        "calibrate_thresh": false,
+        "ftbc": false,
+        "calib_percentile": 99.9,
+        "calib_batches": 8,
+        "ftbc_target_ticks": 8,
+        "ftbc_ref_ticks": 100,
+        "trained_T": 100,
+        "thresh_before": [
+          1.0,
+          1.0,
+          1.0,
+          1.0
+        ],
+        "thresh_after": null,
+        "min_ticks_within_1pct_of_full": null,
+        "min_ticks_within_1pct_per_arm": null,
+        "speedup_at_min_ticks": null,
+        "full_T_acc": null,
+        "t_sweep_rows": null,
+        "calibration_reference": "same network at full T (NOT a source ANN)"
       },
       "config": {
         "method": "harmonic_matched",
@@ -845,163 +752,296 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "baseline": false,
-        "bench": true,
-        "bench_warmup": 10,
-        "bench_iters": 50,
-        "bench_train_steps": 20,
-        "anytime_fracs": "0.25,0.5,1.0",
-        "anytime_weights": "0.3,0.3,1.0",
-        "ic_layer": 0,
-        "ic_loss_weight": 0.3,
-        "bayes_fusion": true,
-        "fusion_prior_weight": 1.0,
-        "conf_threshold": 0.9,
-        "conf_temp": 2.0,
-        "conf_sweep": "0.3,0.4,0.5,0.6,0.7,0.8,0.9,0.95,0.99,0.999",
-        "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_sweep_fine",
+        "hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/control_baseline",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
+        "baseline": true,
+        "bench": true,
+        "bench_warmup": 10,
+        "bench_iters": 50,
+        "bench_train_steps": 20,
+        "calibrate_thresh": true,
+        "calib_percentile": 99.9,
+        "calib_batches": 8,
+        "ftbc": true,
+        "ftbc_target_ticks": 8,
+        "ftbc_ref_ticks": 0,
+        "ftbc_lr": 1.0,
+        "t_sweep": "4,8,16,25,50,100",
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "conf_sweep_fine.zip",
-      "files": 81,
-      "bytes": 12637373,
-      "MB": 12.6,
-      "sha256": "e33a7b3b8947f0b0a5fd13a441d22f8068a82f8246738956132681351836f98c"
+      "name": "control_baseline.zip",
+      "files": 80,
+      "bytes": 12244248,
+      "MB": 12.2,
+      "sha256": "c24f218a83b9e351cc6d43ef1b51d7b3f9e3bfa86c64ae22f40bc90ce4f087a4"
     }
   },
   {
-    "key": "opt02_seenn_bayes/conf_temp_16",
-    "tag": "conf_temp_16",
-    "script": "opt02_seenn_bayes.py",
-    "hf_folder": "applied/opt02_seenn_bayes",
-    "phase": 7,
+    "key": "opt03_ftbc_threshold_balance/default",
+    "tag": "default",
+    "script": "opt03_ftbc_threshold_balance.py",
+    "hf_folder": "applied/opt03_ftbc_threshold_balance",
+    "phase": 1,
     "status": "ok",
-    "duration_s": 613.7,
+    "duration_s": 372.1,
     "optimization_summary": {
-      "optimization": "seenn_early_exit_bayesian_fusion",
-      "research_section": "2. Temporal-dimension reduction",
-      "reference": "SEENN: Towards Temporal Spiking Early-Exit Neural Networks, arXiv:2304.01230 (NeurIPS 2023); BayesianSpikeFusion, Front. Neurosci. 2024 (PMC11330889)",
-      "script": "opt02_seenn_bayes.py",
+      "optimization": "ftbc_threshold_balance",
+      "research_section": "2. Temporal-Dimension Reduction (threshold balancing + FTBC)",
+      "reference": "Rueckauer et al. arXiv:1612.04052; Sengupta et al. arXiv:1802.02627; FTBC: Forward Temporal Bias Correction, ECCV 2024",
+      "script": "opt03_ftbc_threshold_balance.py",
       "baseline_mode": false,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.9278571428571428,
-        "test_target_acc": 0.9278571428571428,
-        "best_val_acc": 0.9278571428571428
+        "test_acc": 0.9292857142857143,
+        "test_target_acc": 0.9292857142857143,
+        "best_val_acc": 0.945
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 3658814.530844156,
-        "dense_macs_per_inference": 123955200.0,
-        "event_fraction_of_dense": 0.02951723308779427,
-        "syn_ops_per_inference_dense_fanout": 65235432.31737013,
+        "syn_ops_per_inference": 3270969.221590909,
+        "dense_macs_per_inference": 122675200.0,
+        "event_fraction_of_dense": 0.026663655095658365,
+        "syn_ops_per_inference_dense_fanout": 64847587.008116886,
         "weight_sparsity": 0.7324707846410685,
-        "effective_ticks": 4.197857142857143,
+        "effective_ticks": 12.059285714285714,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 187.19353675842285,
-        "infer_ms_per_sample": 0.6553214698580642,
-        "peak_vram_mb": 10914.399232,
-        "syn_ops_per_inference_early_exit": 1722971.6599025973
+        "train_ms_per_step": 92.7018213500105,
+        "infer_ms_per_sample": 0.6145065031248009,
+        "peak_vram_mb": 2825.316864
       },
       "optimization_specific": {
-        "seenn_enabled": true,
-        "bayes_fusion_enabled": true,
-        "conf_threshold": 0.9,
-        "conf_temp": 16.0,
-        "anytime_fracs": "0.25,0.5,1.0",
-        "anytime_weights": "0.3,0.3,1.0",
-        "ic_loss_weight": 0.3,
-        "ic_layer": 0,
-        "mean_exit_tick": 4.197857142857143,
-        "mean_exit_ms": 209.89285714285717,
-        "ticks_saved_frac": 0.9580214285714286,
-        "exit_tick_histogram": {
-          "counts": [
-            1368,
-            26,
-            3,
-            2,
-            1,
-            0,
-            0,
-            0,
-            0,
-            0
-          ],
-          "edges": [
-            0.0,
-            10.0,
-            20.0,
-            30.0,
-            40.0,
-            50.0,
-            60.0,
-            70.0,
-            80.0,
-            90.0,
-            100.0
-          ]
-        },
-        "acc_fc_only": 0.9278571428571428,
-        "acc_ic_only": 0.935,
-        "acc_fused": 0.94,
-        "acc_early_exit": 0.2257142857142857,
-        "syn_ops_saved_frac": 0.5290901888090305,
-        "syn_per_inference_early_exit": 1722971.6599025973,
-        "anytime_acc": {
-          "0.25": 0.6042857142857143,
-          "0.5": 0.8057142857142857,
-          "0.75": 0.8885714285714286,
-          "1.0": 0.9278571428571428
+        "calibrate_thresh": true,
+        "ftbc": true,
+        "calib_percentile": 99.9,
+        "calib_batches": 8,
+        "ftbc_target_ticks": 8,
+        "ftbc_ref_ticks": 100,
+        "trained_T": 100,
+        "thresh_before": [
+          1.0,
+          1.0,
+          1.0,
+          1.0
+        ],
+        "thresh_after": [
+          2.353323459625244,
+          0.8474444150924683,
+          1.1090540885925293,
+          2.6859006881713867
+        ],
+        "min_ticks_within_1pct_of_full": null,
+        "min_ticks_within_1pct_per_arm": {
+          "raw": 50,
+          "thresh": 50,
+          "ftbc": 100,
+          "both": null
         },
-        "pareto": [
+        "speedup_at_min_ticks": null,
+        "full_T_acc": 0.9442857142857143,
+        "t_sweep_rows": [
           {
-            "conf": 0.5,
-            "mean_ticks": 2.979285714285714,
-            "acc": 0.18857142857142858,
-            "syn_ops": 1660596.797077922
+            "T": 4,
+            "arm": "raw",
+            "acc": 0.2621428571428571,
+            "syn_per_inference": 1869022.726461039,
+            "dense_per_inference": 4907008.0,
+            "event_fraction_of_dense": 0.38088846124991826
           },
           {
-            "conf": 0.7,
-            "mean_ticks": 4.196428571428571,
-            "acc": 0.2257142857142857,
-            "syn_ops": 1722894.4212662338
+            "T": 4,
+            "arm": "thresh",
+            "acc": 0.40214285714285714,
+            "syn_per_inference": 1828094.6006493508,
+            "dense_per_inference": 4907008.0,
+            "event_fraction_of_dense": 0.37254771148719357
           },
           {
-            "conf": 0.8,
-            "mean_ticks": 4.196428571428571,
-            "acc": 0.2257142857142857,
-            "syn_ops": 1722894.1939935065
+            "T": 4,
+            "arm": "ftbc",
+            "acc": 0.18285714285714286,
+            "syn_per_inference": 1982641.3717532465,
+            "dense_per_inference": 4907008.0,
+            "event_fraction_of_dense": 0.4040428244162729
           },
           {
-            "conf": 0.9,
-            "mean_ticks": 4.197857142857143,
-            "acc": 0.2257142857142857,
-            "syn_ops": 1722971.7207792208
+            "T": 4,
+            "arm": "both",
+            "acc": 0.27714285714285714,
+            "syn_per_inference": 1953169.6939935065,
+            "dense_per_inference": 4907008.0,
+            "event_fraction_of_dense": 0.3980367861624653
           },
           {
-            "conf": 0.95,
-            "mean_ticks": 4.199285714285714,
-            "acc": 0.2257142857142857,
-            "syn_ops": 1723035.8133116884
+            "T": 8,
+            "arm": "raw",
+            "acc": 0.5942857142857143,
+            "syn_per_inference": 2050550.6517857143,
+            "dense_per_inference": 9814016.0,
+            "event_fraction_of_dense": 0.20894103410731288
           },
           {
-            "conf": 0.99,
-            "mean_ticks": 4.243571428571428,
-            "acc": 0.22642857142857142,
-            "syn_ops": 1724673.6931818181
+            "T": 8,
+            "arm": "thresh",
+            "acc": 0.7785714285714286,
+            "syn_per_inference": 1952516.9748376624,
+            "dense_per_inference": 9814016.0,
+            "event_fraction_of_dense": 0.19895188420700174
+          },
+          {
+            "T": 8,
+            "arm": "ftbc",
+            "acc": 0.375,
+            "syn_per_inference": 2353354.2873376627,
+            "dense_per_inference": 9814016.0,
+            "event_fraction_of_dense": 0.2397952364595353
+          },
+          {
+            "T": 8,
+            "arm": "both",
+            "acc": 0.53,
+            "syn_per_inference": 2284980.627435065,
+            "dense_per_inference": 9814016.0,
+            "event_fraction_of_dense": 0.23282829653375997
+          },
+          {
+            "T": 16,
+            "arm": "raw",
+            "acc": 0.8028571428571428,
+            "syn_per_inference": 2341053.414772727,
+            "dense_per_inference": 19628032.0,
+            "event_fraction_of_dense": 0.11927091899853878
+          },
+          {
+            "T": 16,
+            "arm": "thresh",
+            "acc": 0.8985714285714286,
+            "syn_per_inference": 2125678.341720779,
+            "dense_per_inference": 19628032.0,
+            "event_fraction_of_dense": 0.10829808825055813
+          },
+          {
+            "T": 16,
+            "arm": "ftbc",
+            "acc": 0.645,
+            "syn_per_inference": 2743122.541396104,
+            "dense_per_inference": 19628032.0,
+            "event_fraction_of_dense": 0.13975535302755282
+          },
+          {
+            "T": 16,
+            "arm": "both",
+            "acc": 0.7207142857142858,
+            "syn_per_inference": 2544346.234577922,
+            "dense_per_inference": 19628032.0,
+            "event_fraction_of_dense": 0.12962818863235612
+          },
+          {
+            "T": 25,
+            "arm": "raw",
+            "acc": 0.8764285714285714,
+            "syn_per_inference": 2563596.2670454546,
+            "dense_per_inference": 30668800.0,
+            "event_fraction_of_dense": 0.08358971551040323
+          },
+          {
+            "T": 25,
+            "arm": "thresh",
+            "acc": 0.9285714285714286,
+            "syn_per_inference": 2243644.229707792,
+            "dense_per_inference": 30668800.0,
+            "event_fraction_of_dense": 0.07315722264020086
+          },
+          {
+            "T": 25,
+            "arm": "ftbc",
+            "acc": 0.8257142857142857,
+            "syn_per_inference": 3023309.375,
+            "dense_per_inference": 30668800.0,
+            "event_fraction_of_dense": 0.09857931758008139
+          },
+          {
+            "T": 25,
+            "arm": "both",
+            "acc": 0.81,
+            "syn_per_inference": 2707661.5560064935,
+            "dense_per_inference": 30668800.0,
+            "event_fraction_of_dense": 0.08828716989274095
+          },
+          {
+            "T": 50,
+            "arm": "raw",
+            "acc": 0.935,
+            "syn_per_inference": 2919362.8060064935,
+            "dense_per_inference": 61337600.0,
+            "event_fraction_of_dense": 0.047594995663451024
+          },
+          {
+            "T": 50,
+            "arm": "thresh",
+            "acc": 0.9371428571428572,
+            "syn_per_inference": 2426220.323051948,
+            "dense_per_inference": 61337600.0,
+            "event_fraction_of_dense": 0.039555188384481105
+          },
+          {
+            "T": 50,
+            "arm": "ftbc",
+            "acc": 0.9107142857142857,
+            "syn_per_inference": 3453336.166396104,
+            "dense_per_inference": 61337600.0,
+            "event_fraction_of_dense": 0.05630047746237388
+          },
+          {
+            "T": 50,
+            "arm": "both",
+            "acc": 0.905,
+            "syn_per_inference": 2956368.487824675,
+            "dense_per_inference": 61337600.0,
+            "event_fraction_of_dense": 0.04819830720185784
+          },
+          {
+            "T": 100,
+            "arm": "raw",
+            "acc": 0.9442857142857143,
+            "syn_per_inference": 3270968.9375,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.026663652779860967
+          },
+          {
+            "T": 100,
+            "arm": "thresh",
+            "acc": 0.9292857142857143,
+            "syn_per_inference": 2701710.5844155843,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.02202328249243192
+          },
+          {
+            "T": 100,
+            "arm": "ftbc",
+            "acc": 0.9342857142857143,
+            "syn_per_inference": 3888789.481331169,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.031699882953776876
+          },
+          {
+            "T": 100,
+            "arm": "both",
+            "acc": 0.9207142857142857,
+            "syn_per_inference": 3266400.9139610385,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.02662641604791383
           }
-        ]
+        ],
+        "calibration_reference": "same network at full T (NOT a source ANN)"
       },
       "config": {
         "method": "harmonic_matched",
@@ -1041,568 +1081,231 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
+        "hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/default",
+        "repo_id": "UWU-R-13/SSVEP-SNN",
+        "push_hf": false,
+        "keep_epoch_weights": 1,
+        "no_resume": true,
+        "selftest": false,
         "baseline": false,
         "bench": true,
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "anytime_fracs": "0.25,0.5,1.0",
-        "anytime_weights": "0.3,0.3,1.0",
-        "ic_layer": 0,
-        "ic_loss_weight": 0.3,
-        "bayes_fusion": true,
-        "fusion_prior_weight": 1.0,
-        "conf_threshold": 0.9,
-        "conf_temp": 16.0,
-        "conf_sweep": "0.5,0.7,0.8,0.9,0.95,0.99",
-        "hub_dir": "/kaggle/working/hub/opt02_seenn_bayes/conf_temp_16",
+        "calibrate_thresh": true,
+        "calib_percentile": 99.9,
+        "calib_batches": 8,
+        "ftbc": true,
+        "ftbc_target_ticks": 8,
+        "ftbc_ref_ticks": 0,
+        "ftbc_lr": 1.0,
+        "t_sweep": "4,8,16,25,50,100",
+        "sampling_rate": 250.0
+      }
+    },
+    "zip": {
+      "name": "default.zip",
+      "files": 81,
+      "bytes": 12251189,
+      "MB": 12.3,
+      "sha256": "a2408411059da5b902543faccd650a7826414bf770223e315a19896579a36f61"
+    }
+  },
+  {
+    "key": "opt04_cudagraph_unroll/control_baseline",
+    "tag": "control_baseline",
+    "script": "opt04_cudagraph_unroll.py",
+    "hf_folder": "applied/opt04_cudagraph_unroll",
+    "phase": 1,
+    "status": "ok",
+    "duration_s": 320.6,
+    "optimization_summary": {
+      "optimization": "cudagraph_static_unroll",
+      "research_section": "2. Temporal-dimension reduction / 5. OS & runtime",
+      "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop",
+      "script": "opt04_cudagraph_unroll.py",
+      "baseline_mode": true,
+      "method": "harmonic_matched",
+      "accuracy": {
+        "test_acc": 0.9385714285714286,
+        "test_target_acc": 0.9385714285714286,
+        "best_val_acc": 0.9464285714285714
+      },
+      "efficiency": {
+        "spikes_per_inference": null,
+        "syn_ops_per_inference": 3254834.5267857146,
+        "dense_macs_per_inference": 122675200.0,
+        "event_fraction_of_dense": 0.02653213140704653,
+        "syn_ops_per_inference_dense_fanout": 64831452.31331169,
+        "weight_sparsity": 0.7324707846410685,
+        "effective_ticks": 12.097857142857142,
+        "num_ticks": 100,
+        "membrane_bytes_per_inference": 451200,
+        "weight_bytes": 4907008,
+        "input_raster_bytes": null,
+        "train_ms_per_step": 92.22967624664307,
+        "infer_ms_per_sample": 0.6272434443235397,
+        "peak_vram_mb": 2804.347904
+      },
+      "optimization_specific": {
+        "graph_enabled": false
+      },
+      "config": {
+        "method": "harmonic_matched",
+        "data_root": "/kaggle/working/data",
+        "subjects": "",
+        "blocks": "",
+        "limit": 0,
+        "drop_rest": true,
+        "resplit": "block",
+        "test_blocks": "6",
+        "class_weight": false,
+        "epochs": 60,
+        "batch_size": 64,
+        "lr": 0.002,
+        "weight_decay": 0.0005,
+        "grad_clip": 5.0,
+        "num_bins": 100,
+        "window_sec": 5.0,
+        "hidden": "512,256",
+        "freq_groups": 8,
+        "dropout": 0.3,
+        "spike_drop": 0.1,
+        "time_jitter": 2,
+        "label_smoothing": 0.05,
+        "no_batchnorm": false,
+        "binary_input": false,
+        "beta": 1.0,
+        "thresh": 1.0,
+        "window": 0.5,
+        "gain": 1.0,
+        "alpha": 0.9,
+        "readout": "spikecount",
+        "fake_quant": 0,
+        "amp": false,
+        "spike_reg": 0.0,
+        "event_eval": true,
+        "decision_margin": 2.0,
+        "export": false,
+        "seed": 1234,
+        "hub_dir": "/kaggle/working/hub/opt04_cudagraph_unroll/control_baseline",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
+        "baseline": true,
+        "bench": true,
+        "bench_warmup": 10,
+        "bench_iters": 50,
+        "bench_train_steps": 20,
+        "event_capacity": 0,
+        "graph_warmup": 3,
+        "bench_batches": "1,8,32,128",
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "conf_temp_16.zip",
-      "files": 81,
-      "bytes": 12637814,
-      "MB": 12.6,
-      "sha256": "d302c2ff3a0a7090de4ff36762170bca52ef860f9f4f098a3fde82a954059161"
+      "name": "control_baseline.zip",
+      "files": 80,
+      "bytes": 12254389,
+      "MB": 12.3,
+      "sha256": "90228451e4506fa57fd18dda54312748f259653c71dda8725406593029e0c194"
     }
   },
   {
-    "key": "opt06_uticket_prune/prune_readout",
-    "tag": "prune_readout",
-    "script": "opt06_uticket_prune.py",
-    "hf_folder": "applied/opt06_uticket_prune",
-    "phase": 9,
+    "key": "opt04_cudagraph_unroll/default",
+    "tag": "default",
+    "script": "opt04_cudagraph_unroll.py",
+    "hf_folder": "applied/opt04_cudagraph_unroll",
+    "phase": 1,
     "status": "ok",
-    "duration_s": 582.6,
+    "duration_s": 501.8,
     "optimization_summary": {
-      "optimization": "uticket_workload_balanced_pruning",
-      "research_section": "3. Spike sparsity & MAC->AC restructuring",
-      "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
-      "script": "opt06_uticket_prune.py",
+      "optimization": "cudagraph_static_unroll",
+      "research_section": "2. Temporal-dimension reduction / 5. OS & runtime",
+      "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop",
+      "script": "opt04_cudagraph_unroll.py",
       "baseline_mode": false,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.4135714285714286,
-        "test_target_acc": 0.4135714285714286,
-        "best_val_acc": 0.9335714285714286
+        "test_acc": 0.9435714285714286,
+        "test_target_acc": 0.9435714285714286,
+        "best_val_acc": 0.95
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 104257.90097402596,
+        "syn_ops_per_inference": 3255047.327922078,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.0008498694191982239,
-        "syn_ops_per_inference_dense_fanout": 65062433.861201294,
-        "weight_sparsity": 0.9917057400354758,
-        "effective_ticks": 11.177142857142858,
+        "event_fraction_of_dense": 0.026533866078246277,
+        "syn_ops_per_inference_dense_fanout": 64831665.11444805,
+        "weight_sparsity": 0.7324707846410685,
+        "effective_ticks": 11.80642857142857,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 94.6925303999933,
-        "infer_ms_per_sample": 0.6165744149999597,
-        "peak_vram_mb": 2836.776448,
-        "weight_bytes_nonzero": 40703
+        "train_ms_per_step": 92.52521991729736,
+        "infer_ms_per_sample": 0.6286457926034927,
+        "peak_vram_mb": 2803.899904
       },
       "optimization_specific": {
-        "pruning_enabled": true,
-        "balance_enabled": true,
-        "rounds": 5,
-        "final_sparsity": 0.9917049248747913,
-        "nnz_per_layer": {
-          "layer0": 640,
-          "layer1": 5120,
-          "layer2": 4096,
-          "readout": 320
+        "graph_enabled": true,
+        "event_capacity_scan": {
+          "cap_scan": 98901,
+          "batch_size_scan": 64,
+          "n_batches_scanned": 20,
+          "density_per_sample": 1545.328125,
+          "per_layer_caps": [
+            98901,
+            7501,
+            3379,
+            3291
+          ]
         },
-        "pe_stats_per_layer": {
-          "layer0": {
-            "mean_nnz": 2.0,
-            "max_nnz": 2.0,
-            "min_nnz": 2.0,
-            "total_nnz": 640,
-            "numel": 921600,
-            "sparsity": 0.9993055555555556,
-            "utilization": 1.0
-          },
-          "layer1": {
-            "mean_nnz": 10.0,
-            "max_nnz": 10.0,
-            "min_nnz": 10.0,
-            "total_nnz": 5120,
-            "numel": 163840,
-            "sparsity": 0.96875,
-            "utilization": 1.0
-          },
-          "layer2": {
-            "mean_nnz": 16.0,
-            "max_nnz": 16.0,
-            "min_nnz": 16.0,
-            "total_nnz": 4096,
-            "numel": 131072,
-            "sparsity": 0.96875,
-            "utilization": 1.0
-          },
-          "readout": {
-            "mean_nnz": 8.0,
-            "max_nnz": 8.0,
-            "min_nnz": 8.0,
-            "total_nnz": 320,
-            "numel": 10240,
-            "sparsity": 0.96875,
-            "utilization": 1.0
+        "capacity": 98901,
+        "overflow_ticks_frac": 0.0,
+        "graph_vs_eager_pred_agreement": 1.0,
+        "graph_capture_ms": 233.42132568359375,
+        "graphed_acc": 0.9435714285714286,
+        "kernel_launches_eager": 400,
+        "kernel_launches_graphed": 2,
+        "launch_reduction_x": 200.0,
+        "bench_batches": {
+          "1": {
+            "ms_per_sample_eager": 157.8002643585205,
+            "ms_per_sample_graphed": 32.571964263916016,
+            "throughput_eager_samples_per_s": 6.337124998270032,
+            "throughput_graphed_samples_per_s": 30.701249451750854,
+            "speedup_x": 4.844665279623167,
+            "capacity": 1546
+          },
+          "8": {
+            "ms_per_sample_eager": 20.341086983680725,
+            "ms_per_sample_graphed": 12.358421683311462,
+            "throughput_eager_samples_per_s": 49.161581227310094,
+            "throughput_graphed_samples_per_s": 80.91648153990228,
+            "speedup_x": 1.645929189416548,
+            "capacity": 12363
+          },
+          "32": {
+            "ms_per_sample_eager": 5.914023816585541,
+            "ms_per_sample_graphed": 10.751050561666489,
+            "throughput_eager_samples_per_s": 169.08961326729144,
+            "throughput_graphed_samples_per_s": 93.01416584957377,
+            "speedup_x": 0.5500879921142168,
+            "capacity": 49451
+          },
+          "128": {
+            "ms_per_sample_eager": 1.9992999359965324,
+            "ms_per_sample_graphed": 9.524058550596237,
+            "throughput_eager_samples_per_s": 500.17507728351893,
+            "throughput_graphed_samples_per_s": 104.99725455146395,
+            "speedup_x": 0.20992100430455352,
+            "capacity": 197802
           }
         },
-        "pe_utilization_final": 1.0,
-        "pe_utilization_lth": 0.5667460317460318,
-        "pe_utilization_uticket": 1.0,
-        "latency_proxy_dense": 3968,
-        "latency_proxy_final": 36,
-        "latency_reduction_frac": 0.9909274193548387,
-        "rounds_history": [
-          {
-            "round": 1,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 47.0,
-                  "min_nnz": 25.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 0.7659574468085106
-                },
-                "uticket": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 36.0,
-                  "min_nnz": 36.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 180.0,
-                  "min_nnz": 123.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 0.8888888888888888
-                },
-                "uticket": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 160.0,
-                  "min_nnz": 160.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 288.0,
-                  "min_nnz": 210.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 0.8888888888888888
-                },
-                "uticket": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 256.0,
-                  "min_nnz": 256.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              },
-              "readout": {
-                "lth": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 143.0,
-                  "min_nnz": 117.0,
-                  "total_nnz": 5120,
-                  "numel": 10240,
-                  "sparsity": 0.5,
-                  "utilization": 0.8951048951048951
-                },
-                "uticket": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 128.0,
-                  "min_nnz": 128.0,
-                  "total_nnz": 5120,
-                  "numel": 10240,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 580,
-            "sparsity": 0.8662353923205343
-          },
-          {
-            "round": 2,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 28.0,
-                  "min_nnz": 10.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 0.6428571428571429
-                },
-                "uticket": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 18.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 104.0,
-                  "min_nnz": 33.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 0.7692307692307693
-                },
-                "uticket": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 80.0,
-                  "min_nnz": 80.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 161.0,
-                  "min_nnz": 93.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 0.7950310559006211
-                },
-                "uticket": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 128.0,
-                  "min_nnz": 128.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              },
-              "readout": {
-                "lth": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 74.0,
-                  "min_nnz": 56.0,
-                  "total_nnz": 2560,
-                  "numel": 10240,
-                  "sparsity": 0.75,
-                  "utilization": 0.8648648648648649
-                },
-                "uticket": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 64.0,
-                  "total_nnz": 2560,
-                  "numel": 10240,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 290,
-            "sparsity": 0.9331176961602671
-          },
-          {
-            "round": 3,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 1.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 9.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 2.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 0.625
-                },
-                "uticket": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 40.0,
-                  "min_nnz": 40.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 85.0,
-                  "min_nnz": 38.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 0.7529411764705882
-                },
-                "uticket": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 64.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              },
-              "readout": {
-                "lth": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 38.0,
-                  "min_nnz": 26.0,
-                  "total_nnz": 1280,
-                  "numel": 10240,
-                  "sparsity": 0.875,
-                  "utilization": 0.8421052631578947
-                },
-                "uticket": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 32.0,
-                  "min_nnz": 32.0,
-                  "total_nnz": 1280,
-                  "numel": 10240,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 145,
-            "sparsity": 0.9665588480801336
-          },
-          {
-            "round": 4,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 4.5,
-                  "max_nnz": 9.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 1440,
-                  "numel": 921600,
-                  "sparsity": 0.9984375,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 4.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 4.0,
-                  "total_nnz": 1280,
-                  "numel": 921600,
-                  "sparsity": 0.9986111111111111,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 20.0,
-                  "max_nnz": 33.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 10240,
-                  "numel": 163840,
-                  "sparsity": 0.9375,
-                  "utilization": 0.6060606060606061
-                },
-                "uticket": {
-                  "mean_nnz": 20.0,
-                  "max_nnz": 20.0,
-                  "min_nnz": 20.0,
-                  "total_nnz": 10240,
-                  "numel": 163840,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 45.0,
-                  "min_nnz": 12.0,
-                  "total_nnz": 8192,
-                  "numel": 131072,
-                  "sparsity": 0.9375,
-                  "utilization": 0.7111111111111111
-                },
-                "uticket": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 32.0,
-                  "min_nnz": 32.0,
-                  "total_nnz": 8192,
-                  "numel": 131072,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              },
-              "readout": {
-                "lth": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 28.0,
-                  "min_nnz": 11.0,
-                  "total_nnz": 640,
-                  "numel": 10240,
-                  "sparsity": 0.9375,
-                  "utilization": 0.5714285714285714
-                },
-                "uticket": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 16.0,
-                  "min_nnz": 16.0,
-                  "total_nnz": 640,
-                  "numel": 10240,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 72,
-            "sparsity": 0.9834098497495827
-          },
-          {
-            "round": 5,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 640,
-                  "numel": 921600,
-                  "sparsity": 0.9993055555555556,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 2.0,
-                  "total_nnz": 640,
-                  "numel": 921600,
-                  "sparsity": 0.9993055555555556,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 10.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 5120,
-                  "numel": 163840,
-                  "sparsity": 0.96875,
-                  "utilization": 0.5555555555555556
-                },
-                "uticket": {
-                  "mean_nnz": 10.0,
-                  "max_nnz": 10.0,
-                  "min_nnz": 10.0,
-                  "total_nnz": 5120,
-                  "numel": 163840,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 25.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 4096,
-                  "numel": 131072,
-                  "sparsity": 0.96875,
-                  "utilization": 0.64
-                },
-                "uticket": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 16.0,
-                  "min_nnz": 16.0,
-                  "total_nnz": 4096,
-                  "numel": 131072,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              },
-              "readout": {
-                "lth": {
-                  "mean_nnz": 8.0,
-                  "max_nnz": 14.0,
-                  "min_nnz": 3.0,
-                  "total_nnz": 320,
-                  "numel": 10240,
-                  "sparsity": 0.96875,
-                  "utilization": 0.5714285714285714
-                },
-                "uticket": {
-                  "mean_nnz": 8.0,
-                  "max_nnz": 8.0,
-                  "min_nnz": 8.0,
-                  "total_nnz": 320,
-                  "numel": 10240,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 36,
-            "sparsity": 0.9917049248747913
-          }
-        ],
-        "latency_proxy_lth": 61,
-        "latency_reduction_vs_lth_frac": 0.4098360655737705
+        "speedup_x_at_batch1": 4.844665279623167
       },
       "config": {
         "method": "harmonic_matched",
@@ -1642,7 +1345,7 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/prune_readout",
+        "hub_dir": "/kaggle/working/hub/opt04_cudagraph_unroll/default",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
@@ -1653,310 +1356,127 @@
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "prune_rounds": 5,
-        "prune_rate": 0.5,
-        "rewind_epoch": 1,
-        "balance": true,
-        "balance_iters": 2,
-        "prune_readout": true,
+        "event_capacity": 0,
+        "graph_warmup": 3,
+        "bench_batches": "1,8,32,128",
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "prune_readout.zip",
+      "name": "default.zip",
       "files": 81,
-      "bytes": 8103773,
-      "MB": 8.1,
-      "sha256": "71a4d931df327896a7f5538c47ae56a8c6d2a773250c37ea42d325f453d2355a"
+      "bytes": 12253126,
+      "MB": 12.3,
+      "sha256": "dd13cd46e7240e145c6dd659b20ff6be55136f94e8e39058663d3ccbf1811fac"
     }
   },
   {
-    "key": "opt06_uticket_prune/prune_rounds_3",
-    "tag": "prune_rounds_3",
-    "script": "opt06_uticket_prune.py",
-    "hf_folder": "applied/opt06_uticket_prune",
-    "phase": 9,
+    "key": "opt05_bitpack_popcount/control_baseline",
+    "tag": "control_baseline",
+    "script": "opt05_bitpack_popcount.py",
+    "hf_folder": "applied/opt05_bitpack_popcount",
+    "phase": 1,
     "status": "ok",
-    "duration_s": 320.7,
+    "duration_s": 584.8,
     "optimization_summary": {
-      "optimization": "uticket_workload_balanced_pruning",
-      "research_section": "3. Spike sparsity & MAC->AC restructuring",
-      "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
-      "script": "opt06_uticket_prune.py",
-      "baseline_mode": false,
+      "optimization": "bitpack_popcount",
+      "research_section": "3. Spike-Sparsity & MAC->AC Restructuring",
+      "reference": "SATA, arXiv:2204.05422; BMXNet/BiFSMNv2 popcount GEMM",
+      "script": "opt05_bitpack_popcount.py",
+      "baseline_mode": true,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.9057142857142857,
-        "test_target_acc": 0.9057142857142857,
-        "best_val_acc": 0.9407142857142857
+        "test_acc": 0.9392857142857143,
+        "test_target_acc": 0.9392857142857143,
+        "best_val_acc": 0.945
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 550376.6811079546,
+        "syn_ops_per_inference": 3259960.8547077924,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.004486454320905567,
-        "syn_ops_per_inference_dense_fanout": 65058668.56331169,
-        "weight_sparsity": 0.9592550083472454,
-        "effective_ticks": 13.450714285714286,
+        "event_fraction_of_dense": 0.02657391921682453,
+        "syn_ops_per_inference_dense_fanout": 64836578.64123377,
+        "weight_sparsity": 0.7324707846410685,
+        "effective_ticks": 11.83,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
-        "input_raster_bytes": null,
-        "train_ms_per_step": 94.40872569999783,
-        "infer_ms_per_sample": 0.6202037340624855,
-        "peak_vram_mb": 2837.544448,
-        "weight_bytes_nonzero": 160314
+        "input_raster_bytes": 403200000,
+        "train_ms_per_step": 94.69575869998152,
+        "infer_ms_per_sample": 0.6265434059375252,
+        "peak_vram_mb": 2827.963904
       },
       "optimization_specific": {
-        "pruning_enabled": true,
-        "balance_enabled": true,
-        "rounds": 3,
-        "final_sparsity": 0.9673295454545454,
-        "nnz_per_layer": {
-          "layer0": 2880,
-          "layer1": 20480,
-          "layer2": 16384
-        },
-        "pe_stats_per_layer": {
-          "layer0": {
-            "mean_nnz": 9.0,
-            "max_nnz": 9.0,
-            "min_nnz": 9.0,
-            "total_nnz": 2880,
-            "numel": 921600,
-            "sparsity": 0.996875,
-            "utilization": 1.0
-          },
-          "layer1": {
-            "mean_nnz": 40.0,
-            "max_nnz": 40.0,
-            "min_nnz": 40.0,
-            "total_nnz": 20480,
-            "numel": 163840,
-            "sparsity": 0.875,
-            "utilization": 1.0
-          },
-          "layer2": {
-            "mean_nnz": 64.0,
-            "max_nnz": 64.0,
-            "min_nnz": 64.0,
-            "total_nnz": 16384,
-            "numel": 131072,
-            "sparsity": 0.875,
-            "utilization": 1.0
-          }
-        },
-        "pe_utilization_final": 1.0,
-        "pe_utilization_lth": 0.623062015503876,
-        "pe_utilization_uticket": 1.0,
-        "latency_proxy_dense": 3712,
-        "latency_proxy_final": 113,
-        "latency_reduction_frac": 0.9695581896551724,
-        "rounds_history": [
-          {
-            "round": 1,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 49.0,
-                  "min_nnz": 25.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 0.7346938775510204
-                },
-                "uticket": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 36.0,
-                  "min_nnz": 36.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 190.0,
-                  "min_nnz": 93.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 0.8421052631578947
-                },
-                "uticket": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 160.0,
-                  "min_nnz": 160.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 297.0,
-                  "min_nnz": 193.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 0.8619528619528619
-                },
-                "uticket": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 256.0,
-                  "min_nnz": 256.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 452,
-            "sparsity": 0.8693181818181819
-          },
-          {
-            "round": 2,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 29.0,
-                  "min_nnz": 8.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 0.6206896551724138
-                },
-                "uticket": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 18.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 115.0,
-                  "min_nnz": 28.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 0.6956521739130435
-                },
-                "uticket": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 80.0,
-                  "min_nnz": 80.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 157.0,
-                  "min_nnz": 99.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 0.8152866242038217
-                },
-                "uticket": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 128.0,
-                  "min_nnz": 128.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 226,
-            "sparsity": 0.9346590909090909
-          },
-          {
-            "round": 3,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 1.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 9.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 6.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 0.625
-                },
-                "uticket": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 40.0,
-                  "min_nnz": 40.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 86.0,
-                  "min_nnz": 45.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 0.7441860465116279
-                },
-                "uticket": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 64.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 113,
-            "sparsity": 0.9673295454545454
+        "bitpack": false,
+        "pack_hidden": false,
+        "popcount_readout": false,
+        "n_channels": 2880,
+        "packed_words_per_tick": 90,
+        "input_raster_bytes_uint8": 403200000,
+        "input_raster_bytes_packed": null,
+        "memory_reduction_x": 1.0,
+        "mults_eliminated_per_inference": null,
+        "pred_agreement_packed_vs_float": null,
+        "popcount_counts_exact": null,
+        "crossover_density": 0.01,
+        "packed_ever_wins": true,
+        "packed_vs_scatter_ms": [
+          {
+            "density": 0.01,
+            "measured_density": 0.00997178815305233,
+            "scatter_ms": 0.1802825927734375,
+            "packed_ms": 0.046405792236328125,
+            "pack_ms": 0.1291036605834961,
+            "speedup_x": 3.8849157418824496,
+            "packed_wins": true,
+            "matches_scatter": true
+          },
+          {
+            "density": 0.05,
+            "measured_density": 0.0490993931889534,
+            "scatter_ms": 0.2356719970703125,
+            "packed_ms": 0.06339550018310547,
+            "pack_ms": 0.13286590576171875,
+            "speedup_x": 3.7174877773599095,
+            "packed_wins": true,
+            "matches_scatter": true
+          },
+          {
+            "density": 0.1,
+            "measured_density": 0.10040690004825592,
+            "scatter_ms": 0.42845726013183594,
+            "packed_ms": 0.08290290832519531,
+            "pack_ms": 0.12605667114257812,
+            "speedup_x": 5.168181295295065,
+            "packed_wins": true,
+            "matches_scatter": true
+          },
+          {
+            "density": 0.25,
+            "measured_density": 0.24960395693778992,
+            "scatter_ms": 1.0294532775878906,
+            "packed_ms": 0.14525413513183594,
+            "pack_ms": 0.12697696685791016,
+            "speedup_x": 7.087256253693126,
+            "packed_wins": true,
+            "matches_scatter": true
+          },
+          {
+            "density": 0.5,
+            "measured_density": 0.49802517890930176,
+            "scatter_ms": 1.3754749298095703,
+            "packed_ms": 0.2714681625366211,
+            "pack_ms": 0.1302051544189453,
+            "speedup_x": 5.0668001615991285,
+            "packed_wins": true,
+            "matches_scatter": true
           }
         ],
-        "latency_proxy_lth": 168,
-        "latency_reduction_vs_lth_frac": 0.32738095238095233
+        "popcount_vs_loop_ms": {
+          "loop_ms": 0.013265609741210938,
+          "popcount_ms": 0.03826141357421875,
+          "speedup_x": 0.3467098703888335
+        }
       },
       "config": {
         "method": "harmonic_matched",
@@ -1996,1144 +1516,88 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/prune_rounds_3",
+        "hub_dir": "/kaggle/working/hub/opt05_bitpack_popcount/control_baseline",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
-        "baseline": false,
+        "baseline": true,
         "bench": true,
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "prune_rounds": 3,
-        "prune_rate": 0.5,
-        "rewind_epoch": 1,
-        "balance": true,
-        "balance_iters": 2,
-        "prune_readout": false,
+        "bitpack": true,
+        "pack_hidden": false,
+        "popcount_readout": true,
+        "sparsity_sweep": "0.01,0.05,0.1,0.25,0.5",
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "prune_rounds_3.zip",
+      "name": "control_baseline.zip",
       "files": 81,
-      "bytes": 8378826,
-      "MB": 8.4,
-      "sha256": "4f95cb87dd3ae4936d31d4c1e94317cb6a26fbeb7da655363811df3a91cd6bf8"
+      "bytes": 12250994,
+      "MB": 12.3,
+      "sha256": "ef07404573217d6615260626d16d6c3baa237388a674cc6f4fc50b4f57d95eb3"
+    }
+  },
+  {
+    "key": "opt05_bitpack_popcount/default",
+    "tag": "default",
+    "script": "opt05_bitpack_popcount.py",
+    "hf_folder": "applied/opt05_bitpack_popcount",
+    "phase": 1,
+    "status": "failed",
+    "duration_s": 280.1,
+    "optimization_summary": null,
+    "zip": {
+      "name": "FAILED_default.zip",
+      "files": 76,
+      "bytes": 10446958,
+      "MB": 10.4,
+      "sha256": "a05cd25014d037d0284290f3d579a1d933984716eb304384946909de3e297d93"
     }
   },
   {
-    "key": "opt06_uticket_prune/prune_rounds_8",
-    "tag": "prune_rounds_8",
+    "key": "opt06_uticket_prune/control_baseline",
+    "tag": "control_baseline",
     "script": "opt06_uticket_prune.py",
     "hf_folder": "applied/opt06_uticket_prune",
-    "phase": 9,
+    "phase": 1,
     "status": "ok",
-    "duration_s": 322.7,
+    "duration_s": 323.1,
     "optimization_summary": {
       "optimization": "uticket_workload_balanced_pruning",
       "research_section": "3. Spike sparsity & MAC->AC restructuring",
       "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
       "script": "opt06_uticket_prune.py",
-      "baseline_mode": false,
-      "method": "harmonic_matched",
-      "accuracy": {
-        "test_acc": 0.18428571428571427,
-        "test_target_acc": 0.18428571428571427,
-        "best_val_acc": 0.9142857142857143
-      },
-      "efficiency": {
-        "spikes_per_inference": null,
-        "syn_ops_per_inference": 129797.51948051948,
-        "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.0010580583482278365,
-        "syn_ops_per_inference_dense_fanout": 65036167.55113637,
-        "weight_sparsity": 0.9907585233201168,
-        "effective_ticks": 16.09857142857143,
-        "num_ticks": 100,
-        "membrane_bytes_per_inference": 451200,
-        "weight_bytes": 4907008,
-        "input_raster_bytes": null,
-        "train_ms_per_step": 94.60634120000577,
-        "infer_ms_per_sample": 0.6177368868750222,
-        "peak_vram_mb": 2839.143424,
-        "weight_bytes_nonzero": 4453
-      },
-      "optimization_specific": {
-        "pruning_enabled": true,
-        "balance_enabled": true,
-        "rounds": 8,
-        "final_sparsity": 0.9990924873737373,
-        "nnz_per_layer": {
-          "layer0": 80,
-          "layer1": 512,
-          "layer2": 512
-        },
-        "pe_stats_per_layer": {
-          "layer0": {
-            "mean_nnz": 0.25,
-            "max_nnz": 1.0,
-            "min_nnz": 0.0,
-            "total_nnz": 80,
-            "numel": 921600,
-            "sparsity": 0.9999131944444445,
-            "utilization": 0.25
-          },
-          "layer1": {
-            "mean_nnz": 1.0,
-            "max_nnz": 1.0,
-            "min_nnz": 1.0,
-            "total_nnz": 512,
-            "numel": 163840,
-            "sparsity": 0.996875,
-            "utilization": 1.0
-          },
-          "layer2": {
-            "mean_nnz": 2.0,
-            "max_nnz": 2.0,
-            "min_nnz": 2.0,
-            "total_nnz": 512,
-            "numel": 131072,
-            "sparsity": 0.99609375,
-            "utilization": 1.0
-          }
-        },
-        "pe_utilization_final": 0.75,
-        "pe_utilization_lth": 0.4166666666666667,
-        "pe_utilization_uticket": 0.75,
-        "latency_proxy_dense": 3712,
-        "latency_proxy_final": 4,
-        "latency_reduction_frac": 0.9989224137931034,
-        "rounds_history": [
-          {
-            "round": 1,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 49.0,
-                  "min_nnz": 24.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 0.7346938775510204
-                },
-                "uticket": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 36.0,
-                  "min_nnz": 36.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 194.0,
-                  "min_nnz": 134.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 0.8247422680412371
-                },
-                "uticket": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 160.0,
-                  "min_nnz": 160.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 289.0,
-                  "min_nnz": 203.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 0.8858131487889274
-                },
-                "uticket": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 256.0,
-                  "min_nnz": 256.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 452,
-            "sparsity": 0.8693181818181819
-          },
-          {
-            "round": 2,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 25.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 0.72
-                },
-                "uticket": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 18.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 102.0,
-                  "min_nnz": 41.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 0.7843137254901961
-                },
-                "uticket": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 80.0,
-                  "min_nnz": 80.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 158.0,
-                  "min_nnz": 80.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 0.810126582278481
-                },
-                "uticket": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 128.0,
-                  "min_nnz": 128.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 226,
-            "sparsity": 0.9346590909090909
-          },
-          {
-            "round": 3,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 15.0,
-                  "min_nnz": 4.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 0.6
-                },
-                "uticket": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 9.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 57.0,
-                  "min_nnz": 11.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 0.7017543859649122
-                },
-                "uticket": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 40.0,
-                  "min_nnz": 40.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 84.0,
-                  "min_nnz": 32.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 0.7619047619047619
-                },
-                "uticket": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 64.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 113,
-            "sparsity": 0.9673295454545454
-          },
-          {
-            "round": 4,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 4.5,
-                  "max_nnz": 9.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 1440,
-                  "numel": 921600,
-                  "sparsity": 0.9984375,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 4.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 4.0,
-                  "total_nnz": 1280,
-                  "numel": 921600,
-                  "sparsity": 0.9986111111111111,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 20.0,
-                  "max_nnz": 34.0,
-                  "min_nnz": 1.0,
-                  "total_nnz": 10240,
-                  "numel": 163840,
-                  "sparsity": 0.9375,
-                  "utilization": 0.5882352941176471
-                },
-                "uticket": {
-                  "mean_nnz": 20.0,
-                  "max_nnz": 20.0,
-                  "min_nnz": 20.0,
-                  "total_nnz": 10240,
-                  "numel": 163840,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 45.0,
-                  "min_nnz": 18.0,
-                  "total_nnz": 8192,
-                  "numel": 131072,
-                  "sparsity": 0.9375,
-                  "utilization": 0.7111111111111111
-                },
-                "uticket": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 32.0,
-                  "min_nnz": 32.0,
-                  "total_nnz": 8192,
-                  "numel": 131072,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 56,
-            "sparsity": 0.9837962962962963
-          },
-          {
-            "round": 5,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 640,
-                  "numel": 921600,
-                  "sparsity": 0.9993055555555556,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 2.0,
-                  "total_nnz": 640,
-                  "numel": 921600,
-                  "sparsity": 0.9993055555555556,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 10.0,
-                  "max_nnz": 17.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 5120,
-                  "numel": 163840,
-                  "sparsity": 0.96875,
-                  "utilization": 0.5882352941176471
-                },
-                "uticket": {
-                  "mean_nnz": 10.0,
-                  "max_nnz": 10.0,
-                  "min_nnz": 10.0,
-                  "total_nnz": 5120,
-                  "numel": 163840,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 26.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 4096,
-                  "numel": 131072,
-                  "sparsity": 0.96875,
-                  "utilization": 0.6153846153846154
-                },
-                "uticket": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 16.0,
-                  "min_nnz": 16.0,
-                  "total_nnz": 4096,
-                  "numel": 131072,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 28,
-            "sparsity": 0.9918981481481481
-          },
-          {
-            "round": 6,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 1.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 320,
-                  "numel": 921600,
-                  "sparsity": 0.9996527777777777,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 1.0,
-                  "max_nnz": 1.0,
-                  "min_nnz": 1.0,
-                  "total_nnz": 320,
-                  "numel": 921600,
-                  "sparsity": 0.9996527777777777,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 5.0,
-                  "max_nnz": 10.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 2560,
-                  "numel": 163840,
-                  "sparsity": 0.984375,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 5.0,
-                  "max_nnz": 5.0,
-                  "min_nnz": 5.0,
-                  "total_nnz": 2560,
-                  "numel": 163840,
-                  "sparsity": 0.984375,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 8.0,
-                  "max_nnz": 14.0,
-                  "min_nnz": 3.0,
-                  "total_nnz": 2048,
-                  "numel": 131072,
-                  "sparsity": 0.984375,
-                  "utilization": 0.5714285714285714
-                },
-                "uticket": {
-                  "mean_nnz": 8.0,
-                  "max_nnz": 8.0,
-                  "min_nnz": 8.0,
-                  "total_nnz": 2048,
-                  "numel": 131072,
-                  "sparsity": 0.984375,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 14,
-            "sparsity": 0.9959490740740741
-          },
-          {
-            "round": 7,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 0.5,
-                  "max_nnz": 1.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 160,
-                  "numel": 921600,
-                  "sparsity": 0.9998263888888889,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 0.5,
-                  "max_nnz": 1.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 160,
-                  "numel": 921600,
-                  "sparsity": 0.9998263888888889,
-                  "utilization": 0.5
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 2.5,
-                  "max_nnz": 5.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 1280,
-                  "numel": 163840,
-                  "sparsity": 0.9921875,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 2.0,
-                  "total_nnz": 1024,
-                  "numel": 163840,
-                  "sparsity": 0.99375,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 4.0,
-                  "max_nnz": 7.0,
-                  "min_nnz": 1.0,
-                  "total_nnz": 1024,
-                  "numel": 131072,
-                  "sparsity": 0.9921875,
-                  "utilization": 0.5714285714285714
-                },
-                "uticket": {
-                  "mean_nnz": 4.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 4.0,
-                  "total_nnz": 1024,
-                  "numel": 131072,
-                  "sparsity": 0.9921875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 7,
-            "sparsity": 0.9981849747474747
-          },
-          {
-            "round": 8,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 0.25,
-                  "max_nnz": 1.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 80,
-                  "numel": 921600,
-                  "sparsity": 0.9999131944444445,
-                  "utilization": 0.25
-                },
-                "uticket": {
-                  "mean_nnz": 0.25,
-                  "max_nnz": 1.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 80,
-                  "numel": 921600,
-                  "sparsity": 0.9999131944444445,
-                  "utilization": 0.25
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 1.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 512,
-                  "numel": 163840,
-                  "sparsity": 0.996875,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 1.0,
-                  "max_nnz": 1.0,
-                  "min_nnz": 1.0,
-                  "total_nnz": 512,
-                  "numel": 163840,
-                  "sparsity": 0.996875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 512,
-                  "numel": 131072,
-                  "sparsity": 0.99609375,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 2.0,
-                  "total_nnz": 512,
-                  "numel": 131072,
-                  "sparsity": 0.99609375,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 4,
-            "sparsity": 0.9990924873737373
-          }
-        ],
-        "latency_proxy_lth": 7,
-        "latency_reduction_vs_lth_frac": 0.4285714285714286
-      },
-      "config": {
-        "method": "harmonic_matched",
-        "data_root": "/kaggle/working/data",
-        "subjects": "",
-        "blocks": "",
-        "limit": 0,
-        "drop_rest": true,
-        "resplit": "block",
-        "test_blocks": "6",
-        "class_weight": false,
-        "epochs": 60,
-        "batch_size": 64,
-        "lr": 0.002,
-        "weight_decay": 0.0005,
-        "grad_clip": 5.0,
-        "num_bins": 100,
-        "window_sec": 5.0,
-        "hidden": "512,256",
-        "freq_groups": 8,
-        "dropout": 0.3,
-        "spike_drop": 0.1,
-        "time_jitter": 2,
-        "label_smoothing": 0.05,
-        "no_batchnorm": false,
-        "binary_input": false,
-        "beta": 1.0,
-        "thresh": 1.0,
-        "window": 0.5,
-        "gain": 1.0,
-        "alpha": 0.9,
-        "readout": "spikecount",
-        "fake_quant": 0,
-        "amp": false,
-        "spike_reg": 0.0,
-        "event_eval": true,
-        "decision_margin": 2.0,
-        "export": false,
-        "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/prune_rounds_8",
-        "repo_id": "UWU-R-13/SSVEP-SNN",
-        "push_hf": false,
-        "keep_epoch_weights": 1,
-        "no_resume": true,
-        "selftest": false,
-        "baseline": false,
-        "bench": true,
-        "bench_warmup": 10,
-        "bench_iters": 50,
-        "bench_train_steps": 20,
-        "prune_rounds": 8,
-        "prune_rate": 0.5,
-        "rewind_epoch": 1,
-        "balance": true,
-        "balance_iters": 2,
-        "prune_readout": false,
-        "sampling_rate": 250.0
-      }
-    },
-    "zip": {
-      "name": "prune_rounds_8.zip",
-      "files": 81,
-      "bytes": 7983037,
-      "MB": 8.0,
-      "sha256": "477e6120957d9a5697e3cc386ecc6dce0c2c61b98a383a8e903d9e83590962cc"
-    }
-  },
-  {
-    "key": "opt06_uticket_prune/rewind_epoch_0",
-    "tag": "rewind_epoch_0",
-    "script": "opt06_uticket_prune.py",
-    "hf_folder": "applied/opt06_uticket_prune",
-    "phase": 9,
-    "status": "ok",
-    "duration_s": 321.6,
-    "optimization_summary": {
-      "optimization": "uticket_workload_balanced_pruning",
-      "research_section": "3. Spike sparsity & MAC->AC restructuring",
-      "reference": "u-Ticket: Workload-Balanced Pruning for Sparse SNNs, arXiv:2302.06746",
-      "script": "opt06_uticket_prune.py",
-      "baseline_mode": false,
-      "method": "harmonic_matched",
-      "accuracy": {
-        "test_acc": 0.7814285714285715,
-        "test_target_acc": 0.7814285714285715,
-        "best_val_acc": 0.9264285714285714
-      },
-      "efficiency": {
-        "spikes_per_inference": null,
-        "syn_ops_per_inference": 216478.7705965909,
-        "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.0017646498281363382,
-        "syn_ops_per_inference_dense_fanout": 65202982.11444805,
-        "weight_sparsity": 0.983618530884808,
-        "effective_ticks": 12.964285714285714,
-        "num_ticks": 100,
-        "membrane_bytes_per_inference": 451200,
-        "weight_bytes": 4907008,
-        "input_raster_bytes": null,
-        "train_ms_per_step": 94.85441450001417,
-        "infer_ms_per_sample": 0.6180852540624926,
-        "peak_vram_mb": 2837.810688,
-        "weight_bytes_nonzero": 39755
-      },
-      "optimization_specific": {
-        "pruning_enabled": true,
-        "balance_enabled": true,
-        "rounds": 5,
-        "final_sparsity": 0.9918981481481481,
-        "nnz_per_layer": {
-          "layer0": 640,
-          "layer1": 5120,
-          "layer2": 4096
-        },
-        "pe_stats_per_layer": {
-          "layer0": {
-            "mean_nnz": 2.0,
-            "max_nnz": 2.0,
-            "min_nnz": 2.0,
-            "total_nnz": 640,
-            "numel": 921600,
-            "sparsity": 0.9993055555555556,
-            "utilization": 1.0
-          },
-          "layer1": {
-            "mean_nnz": 10.0,
-            "max_nnz": 10.0,
-            "min_nnz": 10.0,
-            "total_nnz": 5120,
-            "numel": 163840,
-            "sparsity": 0.96875,
-            "utilization": 1.0
-          },
-          "layer2": {
-            "mean_nnz": 16.0,
-            "max_nnz": 16.0,
-            "min_nnz": 16.0,
-            "total_nnz": 4096,
-            "numel": 131072,
-            "sparsity": 0.96875,
-            "utilization": 1.0
-          }
-        },
-        "pe_utilization_final": 1.0,
-        "pe_utilization_lth": 0.5554385964912281,
-        "pe_utilization_uticket": 1.0,
-        "latency_proxy_dense": 3712,
-        "latency_proxy_final": 28,
-        "latency_reduction_frac": 0.9924568965517241,
-        "rounds_history": [
-          {
-            "round": 1,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 46.0,
-                  "min_nnz": 27.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 0.782608695652174
-                },
-                "uticket": {
-                  "mean_nnz": 36.0,
-                  "max_nnz": 36.0,
-                  "min_nnz": 36.0,
-                  "total_nnz": 11520,
-                  "numel": 921600,
-                  "sparsity": 0.9875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 189.0,
-                  "min_nnz": 123.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 0.8465608465608465
-                },
-                "uticket": {
-                  "mean_nnz": 160.0,
-                  "max_nnz": 160.0,
-                  "min_nnz": 160.0,
-                  "total_nnz": 81920,
-                  "numel": 163840,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 292.0,
-                  "min_nnz": 197.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 0.8767123287671232
-                },
-                "uticket": {
-                  "mean_nnz": 256.0,
-                  "max_nnz": 256.0,
-                  "min_nnz": 256.0,
-                  "total_nnz": 65536,
-                  "numel": 131072,
-                  "sparsity": 0.5,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 452,
-            "sparsity": 0.8693181818181819
-          },
-          {
-            "round": 2,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 27.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 0.6666666666666666
-                },
-                "uticket": {
-                  "mean_nnz": 18.0,
-                  "max_nnz": 18.0,
-                  "min_nnz": 18.0,
-                  "total_nnz": 5760,
-                  "numel": 921600,
-                  "sparsity": 0.99375,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 110.0,
-                  "min_nnz": 32.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 0.7272727272727273
-                },
-                "uticket": {
-                  "mean_nnz": 80.0,
-                  "max_nnz": 80.0,
-                  "min_nnz": 80.0,
-                  "total_nnz": 40960,
-                  "numel": 163840,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 161.0,
-                  "min_nnz": 90.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 0.7950310559006211
-                },
-                "uticket": {
-                  "mean_nnz": 128.0,
-                  "max_nnz": 128.0,
-                  "min_nnz": 128.0,
-                  "total_nnz": 32768,
-                  "numel": 131072,
-                  "sparsity": 0.75,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 226,
-            "sparsity": 0.9346590909090909
-          },
-          {
-            "round": 3,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 17.0,
-                  "min_nnz": 3.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 0.5294117647058824
-                },
-                "uticket": {
-                  "mean_nnz": 9.0,
-                  "max_nnz": 9.0,
-                  "min_nnz": 9.0,
-                  "total_nnz": 2880,
-                  "numel": 921600,
-                  "sparsity": 0.996875,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 63.0,
-                  "min_nnz": 3.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 0.6349206349206349
-                },
-                "uticket": {
-                  "mean_nnz": 40.0,
-                  "max_nnz": 40.0,
-                  "min_nnz": 40.0,
-                  "total_nnz": 20480,
-                  "numel": 163840,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 81.0,
-                  "min_nnz": 40.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 0.7901234567901234
-                },
-                "uticket": {
-                  "mean_nnz": 64.0,
-                  "max_nnz": 64.0,
-                  "min_nnz": 64.0,
-                  "total_nnz": 16384,
-                  "numel": 131072,
-                  "sparsity": 0.875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 113,
-            "sparsity": 0.9673295454545454
-          },
-          {
-            "round": 4,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 4.5,
-                  "max_nnz": 9.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 1440,
-                  "numel": 921600,
-                  "sparsity": 0.9984375,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 4.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 4.0,
-                  "total_nnz": 1280,
-                  "numel": 921600,
-                  "sparsity": 0.9986111111111111,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 20.0,
-                  "max_nnz": 34.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 10240,
-                  "numel": 163840,
-                  "sparsity": 0.9375,
-                  "utilization": 0.5882352941176471
-                },
-                "uticket": {
-                  "mean_nnz": 20.0,
-                  "max_nnz": 20.0,
-                  "min_nnz": 20.0,
-                  "total_nnz": 10240,
-                  "numel": 163840,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 44.0,
-                  "min_nnz": 20.0,
-                  "total_nnz": 8192,
-                  "numel": 131072,
-                  "sparsity": 0.9375,
-                  "utilization": 0.7272727272727273
-                },
-                "uticket": {
-                  "mean_nnz": 32.0,
-                  "max_nnz": 32.0,
-                  "min_nnz": 32.0,
-                  "total_nnz": 8192,
-                  "numel": 131072,
-                  "sparsity": 0.9375,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 56,
-            "sparsity": 0.9837962962962963
-          },
-          {
-            "round": 5,
-            "layers": {
-              "layer0": {
-                "lth": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 4.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 640,
-                  "numel": 921600,
-                  "sparsity": 0.9993055555555556,
-                  "utilization": 0.5
-                },
-                "uticket": {
-                  "mean_nnz": 2.0,
-                  "max_nnz": 2.0,
-                  "min_nnz": 2.0,
-                  "total_nnz": 640,
-                  "numel": 921600,
-                  "sparsity": 0.9993055555555556,
-                  "utilization": 1.0
-                }
-              },
-              "layer1": {
-                "lth": {
-                  "mean_nnz": 10.0,
-                  "max_nnz": 19.0,
-                  "min_nnz": 0.0,
-                  "total_nnz": 5120,
-                  "numel": 163840,
-                  "sparsity": 0.96875,
-                  "utilization": 0.5263157894736842
-                },
-                "uticket": {
-                  "mean_nnz": 10.0,
-                  "max_nnz": 10.0,
-                  "min_nnz": 10.0,
-                  "total_nnz": 5120,
-                  "numel": 163840,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              },
-              "layer2": {
-                "lth": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 25.0,
-                  "min_nnz": 5.0,
-                  "total_nnz": 4096,
-                  "numel": 131072,
-                  "sparsity": 0.96875,
-                  "utilization": 0.64
-                },
-                "uticket": {
-                  "mean_nnz": 16.0,
-                  "max_nnz": 16.0,
-                  "min_nnz": 16.0,
-                  "total_nnz": 4096,
-                  "numel": 131072,
-                  "sparsity": 0.96875,
-                  "utilization": 1.0
-                }
-              }
-            },
-            "latency_proxy": 28,
-            "sparsity": 0.9918981481481481
-          }
-        ],
-        "latency_proxy_lth": 48,
-        "latency_reduction_vs_lth_frac": 0.41666666666666663
+      "baseline_mode": true,
+      "method": "harmonic_matched",
+      "accuracy": {
+        "test_acc": 0.945,
+        "test_target_acc": 0.945,
+        "best_val_acc": 0.945
+      },
+      "efficiency": {
+        "spikes_per_inference": null,
+        "syn_ops_per_inference": 3269036.607142857,
+        "dense_macs_per_inference": 122675200.0,
+        "event_fraction_of_dense": 0.026647901182495378,
+        "syn_ops_per_inference_dense_fanout": 64845654.39366884,
+        "weight_sparsity": 0.7324707846410685,
+        "effective_ticks": 11.901428571428571,
+        "num_ticks": 100,
+        "membrane_bytes_per_inference": 451200,
+        "weight_bytes": 4907008,
+        "input_raster_bytes": null,
+        "train_ms_per_step": 95.36304565003775,
+        "infer_ms_per_sample": 0.6318974475001937,
+        "peak_vram_mb": 2828.277248
+      },
+      "optimization_specific": {
+        "pruning_enabled": false,
+        "balance_enabled": false
       },
       "config": {
         "method": "harmonic_matched",
@@ -3173,20 +1637,20 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/rewind_epoch_0",
+        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/control_baseline",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
-        "baseline": false,
+        "baseline": true,
         "bench": true,
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
         "prune_rounds": 5,
         "prune_rate": 0.5,
-        "rewind_epoch": 0,
+        "rewind_epoch": 1,
         "balance": true,
         "balance_iters": 2,
         "prune_readout": false,
@@ -3194,21 +1658,21 @@
       }
     },
     "zip": {
-      "name": "rewind_epoch_0.zip",
-      "files": 81,
-      "bytes": 8131993,
-      "MB": 8.1,
-      "sha256": "2759d4be6c9db943f9a4bdcb3c0501243b30044c7b1df1e065f9089899f000db"
+      "name": "control_baseline.zip",
+      "files": 80,
+      "bytes": 12237618,
+      "MB": 12.2,
+      "sha256": "b3bf34aaf9578d97fb975b4f1ed60ef42bf6884b49c48fbdd831889668315689"
     }
   },
   {
-    "key": "opt06_uticket_prune/rewind_epoch_5",
-    "tag": "rewind_epoch_5",
+    "key": "opt06_uticket_prune/default",
+    "tag": "default",
     "script": "opt06_uticket_prune.py",
     "hf_folder": "applied/opt06_uticket_prune",
-    "phase": 9,
+    "phase": 1,
     "status": "ok",
-    "duration_s": 321.7,
+    "duration_s": 325.4,
     "optimization_summary": {
       "optimization": "uticket_workload_balanced_pruning",
       "research_section": "3. Spike sparsity & MAC->AC restructuring",
@@ -3217,25 +1681,25 @@
       "baseline_mode": false,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.77,
-        "test_target_acc": 0.77,
-        "best_val_acc": 0.9257142857142857
+        "test_acc": 0.7885714285714286,
+        "test_target_acc": 0.7885714285714286,
+        "best_val_acc": 0.935
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 216033.23041801946,
+        "syn_ops_per_inference": 218011.0174512987,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.001761017959767088,
-        "syn_ops_per_inference_dense_fanout": 65245333.36607143,
+        "event_fraction_of_dense": 0.0017771401020850075,
+        "syn_ops_per_inference_dense_fanout": 65250329.547077924,
         "weight_sparsity": 0.983618530884808,
-        "effective_ticks": 13.376428571428571,
+        "effective_ticks": 12.822142857142858,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 95.69244695001089,
-        "infer_ms_per_sample": 0.6242595653125704,
-        "peak_vram_mb": 2837.865472,
+        "train_ms_per_step": 96.64661480001087,
+        "infer_ms_per_sample": 0.6332334065623968,
+        "peak_vram_mb": 2837.834752,
         "weight_bytes_nonzero": 39755
       },
       "optimization_specific": {
@@ -3310,12 +1774,12 @@
               "layer1": {
                 "lth": {
                   "mean_nnz": 160.0,
-                  "max_nnz": 189.0,
-                  "min_nnz": 126.0,
+                  "max_nnz": 184.0,
+                  "min_nnz": 119.0,
                   "total_nnz": 81920,
                   "numel": 163840,
                   "sparsity": 0.5,
-                  "utilization": 0.8465608465608465
+                  "utilization": 0.8695652173913043
                 },
                 "uticket": {
                   "mean_nnz": 160.0,
@@ -3330,12 +1794,12 @@
               "layer2": {
                 "lth": {
                   "mean_nnz": 256.0,
-                  "max_nnz": 288.0,
-                  "min_nnz": 214.0,
+                  "max_nnz": 284.0,
+                  "min_nnz": 226.0,
                   "total_nnz": 65536,
                   "numel": 131072,
                   "sparsity": 0.5,
-                  "utilization": 0.8888888888888888
+                  "utilization": 0.9014084507042254
                 },
                 "uticket": {
                   "mean_nnz": 256.0,
@@ -3357,12 +1821,12 @@
               "layer0": {
                 "lth": {
                   "mean_nnz": 18.0,
-                  "max_nnz": 28.0,
-                  "min_nnz": 10.0,
+                  "max_nnz": 27.0,
+                  "min_nnz": 8.0,
                   "total_nnz": 5760,
                   "numel": 921600,
                   "sparsity": 0.99375,
-                  "utilization": 0.6428571428571429
+                  "utilization": 0.6666666666666666
                 },
                 "uticket": {
                   "mean_nnz": 18.0,
@@ -3377,12 +1841,12 @@
               "layer1": {
                 "lth": {
                   "mean_nnz": 80.0,
-                  "max_nnz": 103.0,
-                  "min_nnz": 31.0,
+                  "max_nnz": 109.0,
+                  "min_nnz": 30.0,
                   "total_nnz": 40960,
                   "numel": 163840,
                   "sparsity": 0.75,
-                  "utilization": 0.7766990291262136
+                  "utilization": 0.7339449541284404
                 },
                 "uticket": {
                   "mean_nnz": 80.0,
@@ -3397,12 +1861,12 @@
               "layer2": {
                 "lth": {
                   "mean_nnz": 128.0,
-                  "max_nnz": 155.0,
-                  "min_nnz": 99.0,
+                  "max_nnz": 162.0,
+                  "min_nnz": 95.0,
                   "total_nnz": 32768,
                   "numel": 131072,
                   "sparsity": 0.75,
-                  "utilization": 0.8258064516129032
+                  "utilization": 0.7901234567901234
                 },
                 "uticket": {
                   "mean_nnz": 128.0,
@@ -3425,7 +1889,7 @@
                 "lth": {
                   "mean_nnz": 9.0,
                   "max_nnz": 17.0,
-                  "min_nnz": 2.0,
+                  "min_nnz": 3.0,
                   "total_nnz": 2880,
                   "numel": 921600,
                   "sparsity": 0.996875,
@@ -3444,12 +1908,12 @@
               "layer1": {
                 "lth": {
                   "mean_nnz": 40.0,
-                  "max_nnz": 63.0,
+                  "max_nnz": 60.0,
                   "min_nnz": 0.0,
                   "total_nnz": 20480,
                   "numel": 163840,
                   "sparsity": 0.875,
-                  "utilization": 0.6349206349206349
+                  "utilization": 0.6666666666666666
                 },
                 "uticket": {
                   "mean_nnz": 40.0,
@@ -3464,12 +1928,12 @@
               "layer2": {
                 "lth": {
                   "mean_nnz": 64.0,
-                  "max_nnz": 83.0,
-                  "min_nnz": 44.0,
+                  "max_nnz": 85.0,
+                  "min_nnz": 37.0,
                   "total_nnz": 16384,
                   "numel": 131072,
                   "sparsity": 0.875,
-                  "utilization": 0.7710843373493976
+                  "utilization": 0.7529411764705882
                 },
                 "uticket": {
                   "mean_nnz": 64.0,
@@ -3531,12 +1995,12 @@
               "layer2": {
                 "lth": {
                   "mean_nnz": 32.0,
-                  "max_nnz": 43.0,
-                  "min_nnz": 19.0,
+                  "max_nnz": 44.0,
+                  "min_nnz": 18.0,
                   "total_nnz": 8192,
                   "numel": 131072,
                   "sparsity": 0.9375,
-                  "utilization": 0.7441860465116279
+                  "utilization": 0.7272727272727273
                 },
                 "uticket": {
                   "mean_nnz": 32.0,
@@ -3599,7 +2063,7 @@
                 "lth": {
                   "mean_nnz": 16.0,
                   "max_nnz": 23.0,
-                  "min_nnz": 7.0,
+                  "min_nnz": 11.0,
                   "total_nnz": 4096,
                   "numel": 131072,
                   "sparsity": 0.96875,
@@ -3661,7 +2125,7 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/rewind_epoch_5",
+        "hub_dir": "/kaggle/working/hub/opt06_uticket_prune/default",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
@@ -3674,7 +2138,7 @@
         "bench_train_steps": 20,
         "prune_rounds": 5,
         "prune_rate": 0.5,
-        "rewind_epoch": 5,
+        "rewind_epoch": 1,
         "balance": true,
         "balance_iters": 2,
         "prune_readout": false,
@@ -3682,138 +2146,89 @@
       }
     },
     "zip": {
-      "name": "rewind_epoch_5.zip",
+      "name": "default.zip",
       "files": 81,
-      "bytes": 8032799,
-      "MB": 8.0,
-      "sha256": "1d7273c1361cb8ae29ebdbf7f2044317537adba581891a63ec662bd9b3b8d948"
+      "bytes": 8129041,
+      "MB": 8.1,
+      "sha256": "bdbba4d718c46fedaf00215f9c5812e399ad2772542fb2419c85df427e071443"
     }
   },
   {
-    "key": "opt07_sfa_integer_train/hard_reset_D1",
-    "tag": "hard_reset_D1",
+    "key": "opt07_sfa_integer_train/control_baseline",
+    "tag": "control_baseline",
     "script": "opt07_sfa_integer_train.py",
     "hf_folder": "applied/opt07_sfa_integer_train",
-    "phase": 9,
+    "phase": 2,
     "status": "ok",
-    "duration_s": 333.6,
+    "duration_s": 325.5,
     "optimization_summary": {
       "optimization": "sfa_integer_train",
       "research_section": "3. Training-Time Approximation for Fewer Timesteps (SFA) / spike-storm suppression",
       "reference": "Yao et al., Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training, arXiv:2411.16061",
       "script": "opt07_sfa_integer_train.py",
-      "baseline_mode": false,
+      "baseline_mode": true,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.9457142857142857,
-        "test_target_acc": 0.9457142857142857,
+        "test_acc": 0.9442857142857143,
+        "test_target_acc": 0.9442857142857143,
         "best_val_acc": 0.9464285714285714
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 3248166.6850649347,
+        "syn_ops_per_inference": 3276098.271103896,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.02647777778283577,
-        "syn_ops_per_inference_dense_fanout": 64824784.47159091,
+        "event_fraction_of_dense": 0.026705465090775447,
+        "syn_ops_per_inference_dense_fanout": 64852716.05762987,
         "weight_sparsity": 0.7324707846410685,
-        "effective_ticks": 12.107142857142858,
+        "effective_ticks": 12.049285714285714,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 93.90855915000884,
-        "infer_ms_per_sample": 0.6246371478124502,
-        "peak_vram_mb": 2828.755968
+        "train_ms_per_step": 95.41663794998385,
+        "infer_ms_per_sample": 0.6363128081250125,
+        "peak_vram_mb": 2829.275648
       },
       "optimization_specific": {
         "sfa_levels_D": 1,
         "soft_reset": false,
-        "storm_reg": 0.001,
+        "storm_reg": 0.0,
         "trained_T": 100,
         "infer_mode": "graded",
-        "min_ticks_within_1pct_of_full": 100,
-        "speedup_at_min_ticks": 1.0,
-        "full_T_acc": 0.9457142857142857,
-        "t_sweep_rows": [
-          {
-            "T": 4,
-            "acc": 0.28214285714285714,
-            "syn_per_inference": 1865061.2053571427,
-            "dense_per_inference": 4907008.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 25.0
-          },
-          {
-            "T": 8,
-            "acc": 0.5857142857142857,
-            "syn_per_inference": 2043636.288961039,
-            "dense_per_inference": 9814016.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 12.5
-          },
-          {
-            "T": 16,
-            "acc": 0.8035714285714286,
-            "syn_per_inference": 2325766.0089285714,
-            "dense_per_inference": 19628032.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 6.25
-          },
-          {
-            "T": 25,
-            "acc": 0.8757142857142857,
-            "syn_per_inference": 2540783.9699675324,
-            "dense_per_inference": 30668800.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 4.0
-          },
-          {
-            "T": 50,
-            "acc": 0.93,
-            "syn_per_inference": 2887393.0584415584,
-            "dense_per_inference": 61337600.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 2.0
-          },
-          {
-            "T": 100,
-            "acc": 0.9457142857142857,
-            "syn_per_inference": 3248166.713474026,
-            "dense_per_inference": 122675200.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 1.0
-          }
-        ],
-        "storm_ratio_peak_over_mean": 4.402592156354595,
-        "tick_activity_cv": 0.7492657914512895,
-        "mean_integer_activation": 0.07816793096872668,
+        "min_ticks_within_1pct_of_full": null,
+        "speedup_at_min_ticks": null,
+        "full_T_acc": null,
+        "t_sweep_rows": null,
+        "storm_ratio_peak_over_mean": 4.721035628917203,
+        "tick_activity_cv": 0.8204789844315089,
+        "mean_integer_activation": 0.07897717574611306,
         "frac_activations_gt1": 0.0,
         "max_activation": 1.0,
         "per_layer_activity": [
           {
             "layer": 0,
-            "mean_integer_activation": 0.064309815550223,
-            "peak_tick_activation": 0.28312988951802254,
-            "storm_ratio": 4.402592156354595,
-            "tick_activity_cv": 0.7492657914512895,
+            "mean_integer_activation": 0.0650282603316009,
+            "peak_tick_activation": 0.3070007339119911,
+            "storm_ratio": 4.721035628917203,
+            "tick_activity_cv": 0.8204789844315089,
             "frac_activations_gt1": 0.0,
             "max_activation": 1.0
           },
           {
             "layer": 1,
-            "mean_integer_activation": 0.036434059143066404,
-            "peak_tick_activation": 0.07265853881835938,
-            "storm_ratio": 1.9942477046833988,
-            "tick_activity_cv": 0.22539867053210047,
+            "mean_integer_activation": 0.03752758026123047,
+            "peak_tick_activation": 0.084075927734375,
+            "storm_ratio": 2.240377001371265,
+            "tick_activity_cv": 0.2590329003324282,
             "frac_activations_gt1": 0.0,
             "max_activation": 1.0
           },
           {
             "layer": 2,
-            "mean_integer_activation": 0.13375991821289063,
-            "peak_tick_activation": 0.158294677734375,
-            "storm_ratio": 1.183423852595627,
-            "tick_activity_cv": 0.12266443917391988,
+            "mean_integer_activation": 0.1343756866455078,
+            "peak_tick_activation": 0.15582275390625,
+            "storm_ratio": 1.159605266370255,
+            "tick_activity_cv": 0.12113898330190948,
             "frac_activations_gt1": 0.0,
             "max_activation": 1.0
           }
@@ -3862,19 +2277,19 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/hard_reset_D1",
+        "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/control_baseline",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
-        "baseline": false,
+        "baseline": true,
         "bench": true,
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
         "sfa_levels": 4,
-        "soft_reset": false,
+        "soft_reset": true,
         "storm_reg": 0.001,
         "infer_mode": "graded",
         "t_sweep": "4,8,16,25,50,100",
@@ -3882,21 +2297,21 @@
       }
     },
     "zip": {
-      "name": "hard_reset_D1.zip",
-      "files": 81,
-      "bytes": 12247474,
+      "name": "control_baseline.zip",
+      "files": 80,
+      "bytes": 12243558,
       "MB": 12.2,
-      "sha256": "14ec9f04c11682c9afbfa8aa48edc10a0d1b46c0b71aa2f5fc9f393b5519c9ad"
+      "sha256": "ef41cc96bceab3211a07c23bfa9469952a5d4dc3e8ca52e1b569b2e3abe6c088"
     }
   },
   {
-    "key": "opt07_sfa_integer_train/infer_expanded",
-    "tag": "infer_expanded",
+    "key": "opt07_sfa_integer_train/default",
+    "tag": "default",
     "script": "opt07_sfa_integer_train.py",
     "hf_folder": "applied/opt07_sfa_integer_train",
-    "phase": 9,
+    "phase": 2,
     "status": "ok",
-    "duration_s": 361.5,
+    "duration_s": 356.1,
     "optimization_summary": {
       "optimization": "sfa_integer_train",
       "research_section": "3. Training-Time Approximation for Fewer Timesteps (SFA) / spike-storm suppression",
@@ -3905,124 +2320,467 @@
       "baseline_mode": false,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.9264285714285714,
-        "test_target_acc": 0.9264285714285714,
-        "best_val_acc": 0.93
+        "test_acc": 0.92,
+        "test_target_acc": 0.92,
+        "best_val_acc": 0.9271428571428572
       },
       "efficiency": {
         "spikes_per_inference": null,
-        "syn_ops_per_inference": 5329171.874188311,
+        "syn_ops_per_inference": 5310716.257305195,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.043441313926435916,
-        "syn_ops_per_inference_dense_fanout": 66905789.66071429,
+        "event_fraction_of_dense": 0.04329087099352758,
+        "syn_ops_per_inference_dense_fanout": 66887334.04383116,
         "weight_sparsity": 0.7324707846410685,
-        "effective_ticks": 4.7178571428571425,
+        "effective_ticks": 3.89,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 98.45181450000382,
-        "infer_ms_per_sample": 0.660058239062522,
-        "peak_vram_mb": 2832.446464
+        "train_ms_per_step": 99.90659205000156,
+        "infer_ms_per_sample": 0.6726730093751598,
+        "peak_vram_mb": 2832.417792
       },
       "optimization_specific": {
         "sfa_levels_D": 4,
         "soft_reset": true,
         "storm_reg": 0.001,
         "trained_T": 100,
-        "infer_mode": "expanded",
+        "infer_mode": "graded",
         "min_ticks_within_1pct_of_full": 100,
         "speedup_at_min_ticks": 1.0,
-        "full_T_acc": 0.9264285714285714,
+        "full_T_acc": 0.92,
         "t_sweep_rows": [
           {
             "T": 4,
-            "acc": 0.16,
-            "syn_per_inference": 2778669.6290584416,
+            "acc": 0.20285714285714285,
+            "syn_per_inference": 2760457.5081168828,
             "dense_per_inference": 4907008.0,
             "infer_mode": "graded",
             "ticks_speedup_vs_trained_T": 25.0
           },
           {
             "T": 8,
-            "acc": 0.2892857142857143,
-            "syn_per_inference": 3495133.1233766233,
+            "acc": 0.31,
+            "syn_per_inference": 3462951.003246753,
             "dense_per_inference": 9814016.0,
             "infer_mode": "graded",
             "ticks_speedup_vs_trained_T": 12.5
           },
           {
             "T": 16,
-            "acc": 0.5628571428571428,
-            "syn_per_inference": 4105260.607142857,
+            "acc": 0.5964285714285714,
+            "syn_per_inference": 4058790.475649351,
             "dense_per_inference": 19628032.0,
             "infer_mode": "graded",
             "ticks_speedup_vs_trained_T": 6.25
           },
           {
             "T": 25,
-            "acc": 0.765,
-            "syn_per_inference": 4387251.887987013,
+            "acc": 0.7807142857142857,
+            "syn_per_inference": 4340038.356331169,
             "dense_per_inference": 30668800.0,
             "infer_mode": "graded",
             "ticks_speedup_vs_trained_T": 4.0
           },
           {
             "T": 50,
-            "acc": 0.8835714285714286,
-            "syn_per_inference": 4760043.469155844,
+            "acc": 0.89,
+            "syn_per_inference": 4723786.811688311,
             "dense_per_inference": 61337600.0,
             "infer_mode": "graded",
             "ticks_speedup_vs_trained_T": 2.0
           },
           {
             "T": 100,
-            "acc": 0.9264285714285714,
-            "syn_per_inference": 5327084.303571429,
+            "acc": 0.92,
+            "syn_per_inference": 5310716.143668831,
             "dense_per_inference": 122675200.0,
             "infer_mode": "graded",
             "ticks_speedup_vs_trained_T": 1.0
           }
         ],
-        "storm_ratio_peak_over_mean": 3.6731897953532338,
-        "tick_activity_cv": 0.5687552774544564,
-        "mean_integer_activation": 0.10272448336705566,
-        "frac_activations_gt1": 0.021054688608273864,
-        "max_activation": 4.0,
-        "per_layer_activity": [
+        "storm_ratio_peak_over_mean": 3.917304922499363,
+        "tick_activity_cv": 0.5639521370282741,
+        "mean_integer_activation": 0.10247435106274982,
+        "frac_activations_gt1": 0.020924500189721584,
+        "max_activation": 4.0,
+        "per_layer_activity": [
+          {
+            "layer": 0,
+            "mean_integer_activation": 0.1845430330466479,
+            "peak_tick_activation": 0.6301635801792145,
+            "storm_ratio": 3.414724304547031,
+            "tick_activity_cv": 0.5639521370282741,
+            "frac_activations_gt1": 0.020924500189721584,
+            "max_activation": 4.0
+          },
+          {
+            "layer": 1,
+            "mean_integer_activation": 0.049515380859375,
+            "peak_tick_activation": 0.12670516967773438,
+            "storm_ratio": 2.5589052831398074,
+            "tick_activity_cv": 0.317194117302912,
+            "frac_activations_gt1": 0.0011785506940213963,
+            "max_activation": 4.0
+          },
+          {
+            "layer": 2,
+            "mean_integer_activation": 0.07336463928222657,
+            "peak_tick_activation": 0.28739166259765625,
+            "storm_ratio": 3.917304922499363,
+            "tick_activity_cv": 0.5378646067202674,
+            "frac_activations_gt1": 0.0013993072061566636,
+            "max_activation": 4.0
+          }
+        ],
+        "expanded_vs_graded_agreement": 0.9921875,
+        "expanded_acc": 0.87109375,
+        "graded_acc": 0.875,
+        "syn_ratio_expanded_over_graded": 1.0003825206412895,
+        "expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts"
+      },
+      "config": {
+        "method": "harmonic_matched",
+        "data_root": "/kaggle/working/data",
+        "subjects": "",
+        "blocks": "",
+        "limit": 0,
+        "drop_rest": true,
+        "resplit": "block",
+        "test_blocks": "6",
+        "class_weight": false,
+        "epochs": 60,
+        "batch_size": 64,
+        "lr": 0.002,
+        "weight_decay": 0.0005,
+        "grad_clip": 5.0,
+        "num_bins": 100,
+        "window_sec": 5.0,
+        "hidden": "512,256",
+        "freq_groups": 8,
+        "dropout": 0.3,
+        "spike_drop": 0.1,
+        "time_jitter": 2,
+        "label_smoothing": 0.05,
+        "no_batchnorm": false,
+        "binary_input": false,
+        "beta": 1.0,
+        "thresh": 1.0,
+        "window": 0.5,
+        "gain": 1.0,
+        "alpha": 0.9,
+        "readout": "spikecount",
+        "fake_quant": 0,
+        "amp": false,
+        "spike_reg": 0.0,
+        "event_eval": true,
+        "decision_margin": 2.0,
+        "export": false,
+        "seed": 1234,
+        "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/default",
+        "repo_id": "UWU-R-13/SSVEP-SNN",
+        "push_hf": false,
+        "keep_epoch_weights": 1,
+        "no_resume": true,
+        "selftest": false,
+        "baseline": false,
+        "bench": true,
+        "bench_warmup": 10,
+        "bench_iters": 50,
+        "bench_train_steps": 20,
+        "sfa_levels": 4,
+        "soft_reset": true,
+        "storm_reg": 0.001,
+        "infer_mode": "graded",
+        "t_sweep": "4,8,16,25,50,100",
+        "sampling_rate": 250.0
+      }
+    },
+    "zip": {
+      "name": "default.zip",
+      "files": 81,
+      "bytes": 12257656,
+      "MB": 12.3,
+      "sha256": "db0dbaf735fdc9917ddc6adb439003d589997a1e3d7383781e05c6761ae5492d"
+    }
+  },
+  {
+    "key": "opt08_mint_quant/control_baseline",
+    "tag": "control_baseline",
+    "script": "opt08_mint_quant.py",
+    "hf_folder": "applied/opt08_mint_quant",
+    "phase": 2,
+    "status": "ok",
+    "duration_s": 322.0,
+    "optimization_summary": {
+      "optimization": "mint_quant",
+      "research_section": "4. Membrane-Potential Memory-Wall Optimizations (multiplier-less integer quantization)",
+      "reference": "Yin et al., MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, arXiv:2305.09850 (ASP-DAC 2024)",
+      "script": "opt08_mint_quant.py",
+      "baseline_mode": true,
+      "method": "harmonic_matched",
+      "accuracy": {
+        "test_acc": 0.945,
+        "test_target_acc": 0.945,
+        "best_val_acc": 0.9464285714285714
+      },
+      "efficiency": {
+        "spikes_per_inference": null,
+        "syn_ops_per_inference": 3264850.94724026,
+        "dense_macs_per_inference": 122675200.0,
+        "event_fraction_of_dense": 0.026613781328583608,
+        "syn_ops_per_inference_dense_fanout": 64841468.73376623,
+        "weight_sparsity": 0.7324707846410685,
+        "effective_ticks": 11.907142857142857,
+        "num_ticks": 100,
+        "membrane_bytes_per_inference": 451200,
+        "weight_bytes": 4907008,
+        "input_raster_bytes": null,
+        "train_ms_per_step": 94.69941574998302,
+        "infer_ms_per_sample": 0.626549786562407,
+        "peak_vram_mb": 2828.246528
+      },
+      "optimization_specific": {
+        "w_bits": 0,
+        "u_bits": 0,
+        "leak_shift": 0,
+        "beta_eff": 1.0,
+        "qat": false,
+        "batchnorm": true,
+        "membrane_memory_reduction_x": 1.0,
+        "weight_memory_reduction_x": 1.0,
+        "membrane_bytes_per_inference": 451200.0,
+        "working_set_bytes": 4911520.0,
+        "baseline_working_set_bytes": 4911520.0,
+        "l2_cache_fits": false,
+        "baseline_l2_cache_fits": false,
+        "l2_budget_bytes": 2097152,
+        "membrane_saturation_frac": null,
+        "acc_vs_ubits": {},
+        "bits_sweep_rows": null,
+        "fp32_membrane_acc": null,
+        "per_layer_scales": [
+          {
+            "layer": 0,
+            "weight_scale": 9.543621453115142e-11,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 100000000.0
+          },
+          {
+            "layer": 1,
+            "weight_scale": 6.892802998249627e-11,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 100000000.0
+          },
+          {
+            "layer": 2,
+            "weight_scale": 3.9894622346473585e-11,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 100000000.0
+          },
+          {
+            "layer": 3,
+            "weight_scale": 6.857638765596422e-11,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 100000000.0
+          }
+        ],
+        "shared_scale_note": "weight grid and membrane grid are the same grid up to a per-layer positive scalar that BatchNorm absorbs exactly; exact only with --batchnorm on",
+        "multiplier_less_compare": false,
+        "wall_clock_caveat": "this reference kernel computes in fp32 registers, so the traffic win does not appear in train_ms_per_step; a fixed-point core is where it becomes energy"
+      },
+      "config": {
+        "method": "harmonic_matched",
+        "data_root": "/kaggle/working/data",
+        "subjects": "",
+        "blocks": "",
+        "limit": 0,
+        "drop_rest": true,
+        "resplit": "block",
+        "test_blocks": "6",
+        "class_weight": false,
+        "epochs": 60,
+        "batch_size": 64,
+        "lr": 0.002,
+        "weight_decay": 0.0005,
+        "grad_clip": 5.0,
+        "num_bins": 100,
+        "window_sec": 5.0,
+        "hidden": "512,256",
+        "freq_groups": 8,
+        "dropout": 0.3,
+        "spike_drop": 0.1,
+        "time_jitter": 2,
+        "label_smoothing": 0.05,
+        "no_batchnorm": false,
+        "binary_input": false,
+        "beta": 1.0,
+        "thresh": 1.0,
+        "window": 0.5,
+        "gain": 1.0,
+        "alpha": 0.9,
+        "readout": "spikecount",
+        "fake_quant": 0,
+        "amp": false,
+        "spike_reg": 0.0,
+        "event_eval": true,
+        "decision_margin": 2.0,
+        "export": false,
+        "seed": 1234,
+        "hub_dir": "/kaggle/working/hub/opt08_mint_quant/control_baseline",
+        "repo_id": "UWU-R-13/SSVEP-SNN",
+        "push_hf": false,
+        "keep_epoch_weights": 1,
+        "no_resume": true,
+        "selftest": false,
+        "baseline": true,
+        "bench": true,
+        "bench_warmup": 10,
+        "bench_iters": 50,
+        "bench_train_steps": 20,
+        "w_bits": 4,
+        "u_bits": 2,
+        "leak_shift": 0,
+        "qat": true,
+        "bits_sweep": "2,4,8,0",
+        "l2_bytes": 2097152,
+        "sampling_rate": 250.0
+      }
+    },
+    "zip": {
+      "name": "control_baseline.zip",
+      "files": 80,
+      "bytes": 12247949,
+      "MB": 12.2,
+      "sha256": "6cdb33c67b4c87ce6cb384cb3728a02b828738c952c7367ba2e2fbf552054529"
+    }
+  },
+  {
+    "key": "opt08_mint_quant/default",
+    "tag": "default",
+    "script": "opt08_mint_quant.py",
+    "hf_folder": "applied/opt08_mint_quant",
+    "phase": 2,
+    "status": "ok",
+    "duration_s": 325.4,
+    "optimization_summary": {
+      "optimization": "mint_quant",
+      "research_section": "4. Membrane-Potential Memory-Wall Optimizations (multiplier-less integer quantization)",
+      "reference": "Yin et al., MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, arXiv:2305.09850 (ASP-DAC 2024)",
+      "script": "opt08_mint_quant.py",
+      "baseline_mode": false,
+      "method": "harmonic_matched",
+      "accuracy": {
+        "test_acc": 0.24714285714285714,
+        "test_target_acc": 0.24714285714285714,
+        "best_val_acc": 0.5085714285714286
+      },
+      "efficiency": {
+        "spikes_per_inference": null,
+        "syn_ops_per_inference": 850625.0412946428,
+        "dense_macs_per_inference": 122675200.0,
+        "event_fraction_of_dense": 0.006933960908925707,
+        "syn_ops_per_inference_dense_fanout": 63614042.63717532,
+        "weight_sparsity": 0.9790471097662772,
+        "effective_ticks": 39.044285714285714,
+        "num_ticks": 100,
+        "membrane_bytes_per_inference": 0,
+        "weight_bytes": 613376,
+        "input_raster_bytes": null,
+        "train_ms_per_step": 89.64440669997202,
+        "infer_ms_per_sample": 0.6133386103124394,
+        "peak_vram_mb": 2834.896384
+      },
+      "optimization_specific": {
+        "w_bits": 4,
+        "u_bits": 2,
+        "leak_shift": 0,
+        "beta_eff": 1.0,
+        "qat": true,
+        "batchnorm": true,
+        "membrane_memory_reduction_x": 16.0,
+        "weight_memory_reduction_x": 8.0,
+        "membrane_bytes_per_inference": 28200.0,
+        "working_set_bytes": 613658.0,
+        "baseline_working_set_bytes": 4911520.0,
+        "l2_cache_fits": true,
+        "baseline_l2_cache_fits": false,
+        "l2_budget_bytes": 2097152,
+        "membrane_saturation_frac": 0.019412504155585104,
+        "acc_vs_ubits": {
+          "2": 0.24714285714285714,
+          "4": 0.22214285714285714,
+          "8": 0.23285714285714285,
+          "0": 0.18928571428571428
+        },
+        "bits_sweep_rows": [
+          {
+            "u_bits": 2,
+            "acc": 0.24714285714285714,
+            "target_acc": 0.24714285714285714,
+            "membrane_bytes_per_neuron_per_tick": 0.25,
+            "membrane_memory_reduction_x": 16.0,
+            "membrane_saturation_frac": 0.017122742132092198,
+            "acc_drop_vs_fp32": -0.05785714285714286
+          },
+          {
+            "u_bits": 4,
+            "acc": 0.22214285714285714,
+            "target_acc": 0.22214285714285714,
+            "membrane_bytes_per_neuron_per_tick": 0.5,
+            "membrane_memory_reduction_x": 8.0,
+            "membrane_saturation_frac": 0.16233945589539006,
+            "acc_drop_vs_fp32": -0.03285714285714286
+          },
+          {
+            "u_bits": 8,
+            "acc": 0.23285714285714285,
+            "target_acc": 0.23285714285714285,
+            "membrane_bytes_per_neuron_per_tick": 1.0,
+            "membrane_memory_reduction_x": 4.0,
+            "membrane_saturation_frac": 0.36418647495567374,
+            "acc_drop_vs_fp32": -0.043571428571428567
+          },
+          {
+            "u_bits": 0,
+            "acc": 0.18928571428571428,
+            "target_acc": 0.18928571428571428,
+            "membrane_bytes_per_neuron_per_tick": 4.0,
+            "membrane_memory_reduction_x": 1.0,
+            "membrane_saturation_frac": null,
+            "acc_drop_vs_fp32": 0.0
+          }
+        ],
+        "fp32_membrane_acc": 0.18928571428571428,
+        "per_layer_scales": [
           {
             "layer": 0,
-            "mean_integer_activation": 0.18541565285995604,
-            "peak_tick_activation": 0.640545666217804,
-            "storm_ratio": 3.454647201234981,
-            "tick_activity_cv": 0.5687552774544564,
-            "frac_activations_gt1": 0.021054688608273864,
-            "max_activation": 4.0
+            "weight_scale": 0.026102902633803233,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 38.30991572197802
           },
           {
             "layer": 1,
-            "mean_integer_activation": 0.04947120666503906,
-            "peak_tick_activation": 0.12639999389648438,
-            "storm_ratio": 2.555021444136521,
-            "tick_activity_cv": 0.3229986629594537,
-            "frac_activations_gt1": 0.00117851253162371,
-            "max_activation": 4.0
+            "weight_scale": 0.02913376901830946,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 34.324429474660086
           },
           {
             "layer": 2,
-            "mean_integer_activation": 0.07328659057617187,
-            "peak_tick_activation": 0.269195556640625,
-            "storm_ratio": 3.6731897953532338,
-            "tick_activity_cv": 0.5266420152224381,
-            "frac_activations_gt1": 0.0013648986277985387,
-            "max_activation": 4.0
+            "weight_scale": 0.028474173375538418,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 35.11954453642119
+          },
+          {
+            "layer": 3,
+            "weight_scale": 0.0215481093951634,
+            "membrane_scale": 1.0,
+            "shared_scale_gauge_factor": 46.40778370210316
           }
         ],
-        "expanded_vs_graded_agreement": 1.0,
-        "expanded_acc": 0.9140625,
-        "graded_acc": 0.9140625,
-        "syn_ratio_expanded_over_graded": 1.0003622535345824,
-        "expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts"
+        "shared_scale_note": "weight grid and membrane grid are the same grid up to a per-layer positive scalar that BatchNorm absorbs exactly; exact only with --batchnorm on",
+        "multiplier_less_compare": true,
+        "wall_clock_caveat": "this reference kernel computes in fp32 registers, so the traffic win does not appear in train_ms_per_step; a fixed-point core is where it becomes energy"
       },
       "config": {
         "method": "harmonic_matched",
@@ -4062,7 +2820,7 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/infer_expanded",
+        "hub_dir": "/kaggle/working/hub/opt08_mint_quant/default",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
@@ -4073,156 +2831,265 @@
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "sfa_levels": 4,
-        "soft_reset": true,
-        "storm_reg": 0.001,
-        "infer_mode": "expanded",
-        "t_sweep": "4,8,16,25,50,100",
+        "w_bits": 4,
+        "u_bits": 2,
+        "leak_shift": 0,
+        "qat": true,
+        "bits_sweep": "2,4,8,0",
+        "l2_bytes": 2097152,
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "infer_expanded.zip",
+      "name": "default.zip",
       "files": 81,
-      "bytes": 12257806,
-      "MB": 12.3,
-      "sha256": "ce5e194365b062cb3866b982931e820ee73fb98483e8b12a4970e99e56ca8bcf"
+      "bytes": 12351757,
+      "MB": 12.4,
+      "sha256": "c2ec90c788101866da3bd41fbc98fc8613354d1e1195170654ec755e22af7703"
     }
   },
   {
-    "key": "opt07_sfa_integer_train/storm_reg_1e-2",
-    "tag": "storm_reg_1e-2",
-    "script": "opt07_sfa_integer_train.py",
-    "hf_folder": "applied/opt07_sfa_integer_train",
-    "phase": 9,
+    "key": "opt09_srif_softreset/control_baseline",
+    "tag": "control_baseline",
+    "script": "opt09_srif_softreset.py",
+    "hf_folder": "applied/opt09_srif_softreset",
+    "phase": 2,
     "status": "ok",
-    "duration_s": 352.7,
+    "duration_s": 338.0,
     "optimization_summary": {
-      "optimization": "sfa_integer_train",
-      "research_section": "3. Training-Time Approximation for Fewer Timesteps (SFA) / spike-storm suppression",
-      "reference": "Yao et al., Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training, arXiv:2411.16061",
-      "script": "opt07_sfa_integer_train.py",
-      "baseline_mode": false,
+      "optimization": "srif_softreset",
+      "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential",
+      "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)",
+      "script": "opt09_srif_softreset.py",
+      "baseline_mode": true,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.9271428571428572,
-        "test_target_acc": 0.9271428571428572,
-        "best_val_acc": 0.9257142857142857
+        "test_acc": 0.9464285714285714,
+        "test_target_acc": 0.9464285714285714,
+        "best_val_acc": 0.9428571428571428
       },
       "efficiency": {
-        "spikes_per_inference": null,
-        "syn_ops_per_inference": 5481484.731331169,
+        "spikes_per_inference": 7588.84375,
+        "syn_ops_per_inference": 3247531.347402598,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.04468290845526372,
-        "syn_ops_per_inference_dense_fanout": 67058102.51785714,
+        "event_fraction_of_dense": 0.026472598759998744,
+        "syn_ops_per_inference_dense_fanout": 64824149.13392857,
         "weight_sparsity": 0.7324707846410685,
-        "effective_ticks": 3.505714285714286,
+        "effective_ticks": 12.189285714285715,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 98.8862052499826,
-        "infer_ms_per_sample": 0.6657202099999893,
-        "peak_vram_mb": 2833.100288
+        "train_ms_per_step": 95.90769074993659,
+        "infer_ms_per_sample": 0.6329408046872231,
+        "peak_vram_mb": 2828.263424,
+        "discarded_charge_per_reset": 0.27173534693841395
       },
       "optimization_specific": {
-        "sfa_levels_D": 4,
-        "soft_reset": true,
-        "storm_reg": 0.01,
-        "trained_T": 100,
-        "infer_mode": "graded",
-        "min_ticks_within_1pct_of_full": 100,
-        "speedup_at_min_ticks": 1.0,
-        "full_T_acc": 0.9271428571428572,
-        "t_sweep_rows": [
-          {
-            "T": 4,
-            "acc": 0.21571428571428572,
-            "syn_per_inference": 2678610.4642857146,
-            "dense_per_inference": 4907008.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 25.0
-          },
-          {
-            "T": 8,
-            "acc": 0.3557142857142857,
-            "syn_per_inference": 3344226.649350649,
-            "dense_per_inference": 9814016.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 12.5
-          },
-          {
-            "T": 16,
-            "acc": 0.6378571428571429,
-            "syn_per_inference": 3941638.6444805195,
-            "dense_per_inference": 19628032.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 6.25
-          },
-          {
-            "T": 25,
-            "acc": 0.7914285714285715,
-            "syn_per_inference": 4239864.0032467535,
-            "dense_per_inference": 30668800.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 4.0
-          },
-          {
-            "T": 50,
-            "acc": 0.8857142857142857,
-            "syn_per_inference": 4694799.851461039,
-            "dense_per_inference": 61337600.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 2.0
-          },
-          {
-            "T": 100,
-            "acc": 0.9271428571428572,
-            "syn_per_inference": 5481484.731331169,
-            "dense_per_inference": 122675200.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 1.0
-          }
-        ],
-        "storm_ratio_peak_over_mean": 3.003345709243902,
-        "tick_activity_cv": 0.46190065268000957,
-        "mean_integer_activation": 0.10574525063236555,
-        "frac_activations_gt1": 0.020694764563813806,
-        "max_activation": 4.0,
-        "per_layer_activity": [
-          {
-            "layer": 0,
-            "mean_integer_activation": 0.19540179803967475,
-            "peak_tick_activation": 0.5868591517210007,
-            "storm_ratio": 3.003345709243902,
-            "tick_activity_cv": 0.46190065268000957,
-            "frac_activations_gt1": 0.020694764563813806,
-            "max_activation": 4.0
-          },
-          {
-            "layer": 1,
-            "mean_integer_activation": 0.04897125244140625,
-            "peak_tick_activation": 0.11265945434570312,
-            "storm_ratio": 2.3005222192448387,
-            "tick_activity_cv": 0.26290936311848917,
-            "frac_activations_gt1": 0.0010063552690553479,
-            "max_activation": 4.0
-          },
-          {
-            "layer": 2,
-            "mean_integer_activation": 0.07286270141601563,
-            "peak_tick_activation": 0.21881866455078125,
-            "storm_ratio": 3.0031643117569575,
-            "tick_activity_cv": 0.36416396678259205,
-            "frac_activations_gt1": 0.0011422729294281453,
-            "max_activation": 4.0
+        "reset_mode": "hard",
+        "learn_reset": false,
+        "lam_init": 0.9,
+        "v_reset_init": 0.0,
+        "u_bits": 0,
+        "u_scale": 1.0,
+        "u_headroom_requested": 2.0,
+        "u_headroom_actual": 0.0,
+        "u_threshold_level": 0,
+        "u_levels_above_threshold": null,
+        "reset_family": {
+          "reset_mode": "hard",
+          "learn_reset": false,
+          "num_spiking_sites": 4,
+          "extra_params": 0,
+          "extra_params_frac_of_weights": 0.0,
+          "extra_flops_per_tick_per_neuron": 0,
+          "learned_lam_per_layer": [
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "learned_v_reset_per_layer": [
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ]
+        },
+        "reset_stats": {
+          "reset_mode": "hard",
+          "learn_reset": false,
+          "discarded_charge_per_reset": 0.27173534693841395,
+          "spikes_per_inference": 7588.84375,
+          "syn_per_inference": 3309132.71875,
+          "lam_per_site": [
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "v_reset_per_site": [
+            0.0,
+            0.0,
+            0.0,
+            0.0
+          ],
+          "u_bits": 0,
+          "membrane_saturation_frac": null,
+          "batches": 4,
+          "grid_headroom": 0.0,
+          "grid_levels_above_thresh": null
+        },
+        "reset_x_bits_sweep": {
+          "rows": [
+            {
+              "reset_mode": "hard",
+              "u_bits": 0,
+              "acc": 0.9464285714285714,
+              "target_acc": 0.9464285714285714,
+              "grid_headroom": 0.0,
+              "grid_levels_above_thresh": null,
+              "discarded_charge_per_reset": 0.2740163210672487,
+              "spikes_per_inference": 7531.203125,
+              "membrane_saturation_frac": null,
+              "membrane_memory_reduction_x": 1.0,
+              "acc_drop_vs_fp32": 0.0
+            },
+            {
+              "reset_mode": "hard",
+              "u_bits": 4,
+              "acc": 0.96,
+              "target_acc": 0.96,
+              "grid_headroom": 1.75,
+              "grid_levels_above_thresh": 3,
+              "discarded_charge_per_reset": 0.16058549060468713,
+              "spikes_per_inference": 9036.453125,
+              "membrane_saturation_frac": 0.30208174035904256,
+              "membrane_memory_reduction_x": 8.0,
+              "acc_drop_vs_fp32": -0.013571428571428568
+            },
+            {
+              "reset_mode": "hard",
+              "u_bits": 2,
+              "acc": 0.9007142857142857,
+              "target_acc": 0.9007142857142857,
+              "grid_headroom": 1.0,
+              "grid_levels_above_thresh": 0,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 9342.71875,
+              "membrane_saturation_frac": 0.5301250831117021,
+              "membrane_memory_reduction_x": 16.0,
+              "acc_drop_vs_fp32": 0.04571428571428571
+            },
+            {
+              "reset_mode": "soft",
+              "u_bits": 0,
+              "acc": 0.8421428571428572,
+              "target_acc": 0.8421428571428572,
+              "grid_headroom": 0.0,
+              "grid_levels_above_thresh": null,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 10064.375,
+              "membrane_saturation_frac": null,
+              "membrane_memory_reduction_x": 1.0,
+              "acc_drop_vs_fp32": 0.0
+            },
+            {
+              "reset_mode": "soft",
+              "u_bits": 4,
+              "acc": 0.9585714285714285,
+              "target_acc": 0.9585714285714285,
+              "grid_headroom": 1.75,
+              "grid_levels_above_thresh": 3,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 10738.90625,
+              "membrane_saturation_frac": 0.33801418439716313,
+              "membrane_memory_reduction_x": 8.0,
+              "acc_drop_vs_fp32": -0.11642857142857133
+            },
+            {
+              "reset_mode": "soft",
+              "u_bits": 2,
+              "acc": 0.9007142857142857,
+              "target_acc": 0.9007142857142857,
+              "grid_headroom": 1.0,
+              "grid_levels_above_thresh": 0,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 9342.71875,
+              "membrane_saturation_frac": 0.5301250831117021,
+              "membrane_memory_reduction_x": 16.0,
+              "acc_drop_vs_fp32": -0.0585714285714285
+            },
+            {
+              "reset_mode": "trained",
+              "u_bits": 0,
+              "acc": 0.9464285714285714,
+              "target_acc": 0.9464285714285714,
+              "grid_headroom": 0.0,
+              "grid_levels_above_thresh": null,
+              "discarded_charge_per_reset": 0.27401632159846223,
+              "spikes_per_inference": 7531.203125,
+              "membrane_saturation_frac": null,
+              "membrane_memory_reduction_x": 1.0,
+              "acc_drop_vs_fp32": 0.0
+            },
+            {
+              "reset_mode": "trained",
+              "u_bits": 4,
+              "acc": 0.96,
+              "target_acc": 0.96,
+              "grid_headroom": 1.75,
+              "grid_levels_above_thresh": 3,
+              "discarded_charge_per_reset": 0.1605852697683357,
+              "spikes_per_inference": 9036.453125,
+              "membrane_saturation_frac": 0.30208174035904256,
+              "membrane_memory_reduction_x": 8.0,
+              "acc_drop_vs_fp32": -0.013571428571428568
+            },
+            {
+              "reset_mode": "trained",
+              "u_bits": 2,
+              "acc": 0.9007142857142857,
+              "target_acc": 0.9007142857142857,
+              "grid_headroom": 1.0,
+              "grid_levels_above_thresh": 0,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 9342.71875,
+              "membrane_saturation_frac": 0.5301250831117021,
+              "membrane_memory_reduction_x": 16.0,
+              "acc_drop_vs_fp32": 0.04571428571428571
+            }
+          ],
+          "by_mode": {
+            "hard": {
+              "fp32_acc": 0.9464285714285714,
+              "acc_by_bits": {
+                "0": 0.9464285714285714,
+                "4": 0.96,
+                "2": 0.9007142857142857
+              }
+            },
+            "soft": {
+              "fp32_acc": 0.8421428571428572,
+              "acc_by_bits": {
+                "0": 0.8421428571428572,
+                "4": 0.9585714285714285,
+                "2": 0.9007142857142857
+              }
+            },
+            "trained": {
+              "fp32_acc": 0.9464285714285714,
+              "acc_by_bits": {
+                "0": 0.9464285714285714,
+                "4": 0.96,
+                "2": 0.9007142857142857
+              }
+            }
           }
-        ],
-        "expanded_vs_graded_agreement": 0.9921875,
-        "expanded_acc": 0.90625,
-        "graded_acc": 0.90625,
-        "syn_ratio_expanded_over_graded": 1.0003618800383918,
-        "expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts"
+        },
+        "mechanism": "V = u - s*((1-lam)*u + lam*thresh) + s*v_r; lam=0,v_r=0 is the baseline hard reset exactly, lam=1,v_r=0 discards zero charge",
+        "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time",
+        "caveat": "the sweep swaps the reset on ALREADY-TRAINED weights, which under-states what training with each reset would give; and a charge-conserving reset can raise the spike count, so read spikes_per_inference next to the accuracy"
       },
       "config": {
         "method": "harmonic_matched",
@@ -4262,191 +3129,278 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/storm_reg_1e-2",
+        "hub_dir": "/kaggle/working/hub/opt09_srif_softreset/control_baseline",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
-        "baseline": false,
+        "reset_mode": "srif",
+        "learn_reset": true,
+        "lam_init": 0.9,
+        "v_reset_init": 0.0,
+        "u_bits": 0,
+        "u_headroom": 2.0,
+        "reset_sweep": "hard,soft,trained",
+        "bits_sweep": "0,4,2",
+        "baseline": true,
         "bench": true,
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "sfa_levels": 4,
-        "soft_reset": true,
-        "storm_reg": 0.01,
-        "infer_mode": "graded",
-        "t_sweep": "4,8,16,25,50,100",
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "storm_reg_1e-2.zip",
-      "files": 81,
-      "bytes": 12255265,
-      "MB": 12.3,
-      "sha256": "c2a25d9ee33de9bba942a4027d5d7df8d62fa45eb05f8d3d39e831de2f724632"
+      "name": "control_baseline.zip",
+      "files": 78,
+      "bytes": 7975348,
+      "MB": 8.0,
+      "sha256": "4186ff3945005fa15ca75a27d3ef1dcacb7656ee24e417d75076703e65e0cf74"
     }
   },
   {
-    "key": "opt07_sfa_integer_train/t_sweep_ultra_low",
-    "tag": "t_sweep_ultra_low",
-    "script": "opt07_sfa_integer_train.py",
-    "hf_folder": "applied/opt07_sfa_integer_train",
-    "phase": 9,
+    "key": "opt09_srif_softreset/default",
+    "tag": "default",
+    "script": "opt09_srif_softreset.py",
+    "hf_folder": "applied/opt09_srif_softreset",
+    "phase": 2,
     "status": "ok",
-    "duration_s": 351.0,
+    "duration_s": 349.8,
     "optimization_summary": {
-      "optimization": "sfa_integer_train",
-      "research_section": "3. Training-Time Approximation for Fewer Timesteps (SFA) / spike-storm suppression",
-      "reference": "Yao et al., Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training, arXiv:2411.16061",
-      "script": "opt07_sfa_integer_train.py",
+      "optimization": "srif_softreset",
+      "research_section": "4. Membrane-Potential Memory Wall -- Soft Reset Integrate-and-Fire (SRIF), dynamic reset potential",
+      "reference": "Guo et al., 'Reducing Information Loss for Spiking Neural Networks' (SRIF), ECCV 2022; research.md S4 (stacks with MINT / SpQuant-SNN membrane quantization)",
+      "script": "opt09_srif_softreset.py",
       "baseline_mode": false,
       "method": "harmonic_matched",
       "accuracy": {
-        "test_acc": 0.925,
-        "test_target_acc": 0.925,
-        "best_val_acc": 0.9285714285714286
+        "test_acc": 0.8514285714285714,
+        "test_target_acc": 0.8514285714285714,
+        "best_val_acc": 0.8735714285714286
       },
       "efficiency": {
-        "spikes_per_inference": null,
-        "syn_ops_per_inference": 5325856.609577922,
+        "spikes_per_inference": 9160.76953125,
+        "syn_ops_per_inference": 4535591.534902598,
         "dense_macs_per_inference": 122675200.0,
-        "event_fraction_of_dense": 0.04341428919274574,
-        "syn_ops_per_inference_dense_fanout": 66902474.39610389,
+        "event_fraction_of_dense": 0.036972359000862424,
+        "syn_ops_per_inference_dense_fanout": 66112209.32142857,
         "weight_sparsity": 0.7324707846410685,
-        "effective_ticks": 3.922142857142857,
+        "effective_ticks": 14.777142857142858,
         "num_ticks": 100,
         "membrane_bytes_per_inference": 451200,
         "weight_bytes": 4907008,
         "input_raster_bytes": null,
-        "train_ms_per_step": 98.89879284999097,
-        "infer_ms_per_sample": 0.6661157987500133,
-        "peak_vram_mb": 2832.45568
+        "train_ms_per_step": 99.64558419997047,
+        "infer_ms_per_sample": 0.6644193996874037,
+        "peak_vram_mb": 2830.266368,
+        "discarded_charge_per_reset": -0.4044694791624079
       },
       "optimization_specific": {
-        "sfa_levels_D": 4,
-        "soft_reset": true,
-        "storm_reg": 0.001,
-        "trained_T": 100,
-        "infer_mode": "graded",
-        "min_ticks_within_1pct_of_full": 100,
-        "speedup_at_min_ticks": 1.0,
-        "full_T_acc": 0.925,
-        "t_sweep_rows": [
-          {
-            "T": 2,
-            "acc": 0.07642857142857143,
-            "syn_per_inference": 2239954.340909091,
-            "dense_per_inference": 2453504.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 50.0
-          },
-          {
-            "T": 3,
-            "acc": 0.1357142857142857,
-            "syn_per_inference": 2528104.3733766233,
-            "dense_per_inference": 3680256.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 33.333333333333336
-          },
-          {
-            "T": 4,
-            "acc": 0.1657142857142857,
-            "syn_per_inference": 2779257.885551948,
-            "dense_per_inference": 4907008.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 25.0
-          },
-          {
-            "T": 6,
-            "acc": 0.23142857142857143,
-            "syn_per_inference": 3189504.724837662,
-            "dense_per_inference": 7360512.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 16.666666666666668
-          },
-          {
-            "T": 8,
-            "acc": 0.30642857142857144,
-            "syn_per_inference": 3490675.0357142854,
-            "dense_per_inference": 9814016.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 12.5
-          },
-          {
-            "T": 12,
-            "acc": 0.4342857142857143,
-            "syn_per_inference": 3871810.025162338,
-            "dense_per_inference": 14721024.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 8.333333333333334
-          },
-          {
-            "T": 16,
-            "acc": 0.5678571428571428,
-            "syn_per_inference": 4094637.9375,
-            "dense_per_inference": 19628032.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 6.25
-          },
-          {
-            "T": 25,
-            "acc": 0.7721428571428571,
-            "syn_per_inference": 4374663.069805195,
-            "dense_per_inference": 30668800.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 4.0
-          },
-          {
-            "T": 100,
-            "acc": 0.925,
-            "syn_per_inference": 5325856.666396104,
-            "dense_per_inference": 122675200.0,
-            "infer_mode": "graded",
-            "ticks_speedup_vs_trained_T": 1.0
-          }
-        ],
-        "storm_ratio_peak_over_mean": 3.6839613211418474,
-        "tick_activity_cv": 0.5593002627242345,
-        "mean_integer_activation": 0.10257062120983997,
-        "frac_activations_gt1": 0.020979859633371234,
-        "max_activation": 4.0,
-        "per_layer_activity": [
-          {
-            "layer": 0,
-            "mean_integer_activation": 0.18541919242590665,
-            "peak_tick_activation": 0.6322021558880806,
-            "storm_ratio": 3.409583159201322,
-            "tick_activity_cv": 0.5593002627242345,
-            "frac_activations_gt1": 0.020979859633371234,
-            "max_activation": 4.0
-          },
-          {
-            "layer": 1,
-            "mean_integer_activation": 0.049783668518066405,
-            "peak_tick_activation": 0.12538528442382812,
-            "storm_ratio": 2.518602749781809,
-            "tick_activity_cv": 0.3183053742457197,
-            "frac_activations_gt1": 0.0011735152947949246,
-            "max_activation": 4.0
-          },
-          {
-            "layer": 2,
-            "mean_integer_activation": 0.07250900268554687,
-            "peak_tick_activation": 0.267120361328125,
-            "storm_ratio": 3.6839613211418474,
-            "tick_activity_cv": 0.5338615572684136,
-            "frac_activations_gt1": 0.0013800048400298692,
-            "max_activation": 4.0
+        "reset_mode": "srif",
+        "learn_reset": true,
+        "lam_init": 0.9,
+        "v_reset_init": 0.0,
+        "u_bits": 0,
+        "u_scale": 1.0,
+        "u_headroom_requested": 2.0,
+        "u_headroom_actual": 0.0,
+        "u_threshold_level": 0,
+        "u_levels_above_threshold": null,
+        "reset_family": {
+          "reset_mode": "srif",
+          "learn_reset": true,
+          "num_spiking_sites": 4,
+          "extra_params": 8,
+          "extra_params_frac_of_weights": 6.5212854757929885e-06,
+          "extra_flops_per_tick_per_neuron": 0,
+          "learned_lam_per_layer": [
+            0.7024049758911133,
+            0.715212345123291,
+            0.6971885561943054,
+            0.8579108715057373
+          ],
+          "learned_v_reset_per_layer": [
+            0.4615882337093353,
+            0.5068790912628174,
+            0.42991286516189575,
+            0.912826657295227
+          ]
+        },
+        "reset_stats": {
+          "reset_mode": "srif",
+          "learn_reset": true,
+          "discarded_charge_per_reset": -0.4044694791624079,
+          "spikes_per_inference": 9160.76953125,
+          "syn_per_inference": 4633346.53125,
+          "lam_per_site": [
+            0.7024049758911133,
+            0.715212345123291,
+            0.6971885561943054,
+            0.8579108715057373
+          ],
+          "v_reset_per_site": [
+            0.4615882337093353,
+            0.5068790912628174,
+            0.42991286516189575,
+            0.912826657295227
+          ],
+          "u_bits": 0,
+          "membrane_saturation_frac": null,
+          "batches": 4,
+          "grid_headroom": 0.0,
+          "grid_levels_above_thresh": null
+        },
+        "reset_x_bits_sweep": {
+          "rows": [
+            {
+              "reset_mode": "hard",
+              "u_bits": 0,
+              "acc": 0.7942857142857143,
+              "target_acc": 0.7942857142857143,
+              "grid_headroom": 0.0,
+              "grid_levels_above_thresh": null,
+              "discarded_charge_per_reset": 0.15664060785650546,
+              "spikes_per_inference": 6160.265625,
+              "membrane_saturation_frac": null,
+              "membrane_memory_reduction_x": 1.0,
+              "acc_drop_vs_fp32": 0.0
+            },
+            {
+              "reset_mode": "hard",
+              "u_bits": 4,
+              "acc": 0.8285714285714286,
+              "target_acc": 0.8285714285714286,
+              "grid_headroom": 1.75,
+              "grid_levels_above_thresh": 3,
+              "discarded_charge_per_reset": 0.05825298222146283,
+              "spikes_per_inference": 7004.0,
+              "membrane_saturation_frac": 0.16538030529698583,
+              "membrane_memory_reduction_x": 8.0,
+              "acc_drop_vs_fp32": -0.034285714285714364
+            },
+            {
+              "reset_mode": "hard",
+              "u_bits": 2,
+              "acc": 0.5228571428571429,
+              "target_acc": 0.5228571428571429,
+              "grid_headroom": 1.0,
+              "grid_levels_above_thresh": 0,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 2665.6640625,
+              "membrane_saturation_frac": 0.14770216921542553,
+              "membrane_memory_reduction_x": 16.0,
+              "acc_drop_vs_fp32": 0.27142857142857135
+            },
+            {
+              "reset_mode": "soft",
+              "u_bits": 0,
+              "acc": 0.8521428571428571,
+              "target_acc": 0.8521428571428571,
+              "grid_headroom": 0.0,
+              "grid_levels_above_thresh": null,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 6958.1171875,
+              "membrane_saturation_frac": null,
+              "membrane_memory_reduction_x": 1.0,
+              "acc_drop_vs_fp32": 0.0
+            },
+            {
+              "reset_mode": "soft",
+              "u_bits": 4,
+              "acc": 0.8592857142857143,
+              "target_acc": 0.8592857142857143,
+              "grid_headroom": 1.75,
+              "grid_levels_above_thresh": 3,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 7406.828125,
+              "membrane_saturation_frac": 0.18181211214539006,
+              "membrane_memory_reduction_x": 8.0,
+              "acc_drop_vs_fp32": -0.0071428571428572285
+            },
+            {
+              "reset_mode": "soft",
+              "u_bits": 2,
+              "acc": 0.5228571428571429,
+              "target_acc": 0.5228571428571429,
+              "grid_headroom": 1.0,
+              "grid_levels_above_thresh": 0,
+              "discarded_charge_per_reset": 0.0,
+              "spikes_per_inference": 2665.6640625,
+              "membrane_saturation_frac": 0.14770216921542553,
+              "membrane_memory_reduction_x": 16.0,
+              "acc_drop_vs_fp32": 0.3292857142857142
+            },
+            {
+              "reset_mode": "trained",
+              "u_bits": 0,
+              "acc": 0.8514285714285714,
+              "target_acc": 0.8514285714285714,
+              "grid_headroom": 0.0,
+              "grid_levels_above_thresh": null,
+              "discarded_charge_per_reset": -0.40519612255012694,
+              "spikes_per_inference": 9104.9765625,
+              "membrane_saturation_frac": null,
+              "membrane_memory_reduction_x": 1.0,
+              "acc_drop_vs_fp32": 0.0
+            },
+            {
+              "reset_mode": "trained",
+              "u_bits": 4,
+              "acc": 0.9042857142857142,
+              "target_acc": 0.9042857142857142,
+              "grid_headroom": 1.75,
+              "grid_levels_above_thresh": 3,
+              "discarded_charge_per_reset": -0.44699663476065854,
+              "spikes_per_inference": 10173.015625,
+              "membrane_saturation_frac": 0.3237441129210993,
+              "membrane_memory_reduction_x": 8.0,
+              "acc_drop_vs_fp32": -0.052857142857142825
+            },
+            {
+              "reset_mode": "trained",
+              "u_bits": 2,
+              "acc": 0.46214285714285713,
+              "target_acc": 0.46214285714285713,
+              "grid_headroom": 1.0,
+              "grid_levels_above_thresh": 0,
+              "discarded_charge_per_reset": -0.4779920437351949,
+              "spikes_per_inference": 12277.90625,
+              "membrane_saturation_frac": 0.31902593085106384,
+              "membrane_memory_reduction_x": 16.0,
+              "acc_drop_vs_fp32": 0.3892857142857143
+            }
+          ],
+          "by_mode": {
+            "hard": {
+              "fp32_acc": 0.7942857142857143,
+              "acc_by_bits": {
+                "0": 0.7942857142857143,
+                "4": 0.8285714285714286,
+                "2": 0.5228571428571429
+              }
+            },
+            "soft": {
+              "fp32_acc": 0.8521428571428571,
+              "acc_by_bits": {
+                "0": 0.8521428571428571,
+                "4": 0.8592857142857143,
+                "2": 0.5228571428571429
+              }
+            },
+            "trained": {
+              "fp32_acc": 0.8514285714285714,
+              "acc_by_bits": {
+                "0": 0.8514285714285714,
+                "4": 0.9042857142857142,
+                "2": 0.46214285714285713
+              }
+            }
           }
-        ],
-        "expanded_vs_graded_agreement": 1.0,
-        "expanded_acc": 0.90234375,
-        "graded_acc": 0.90234375,
-        "syn_ratio_expanded_over_graded": 1.0003646028320816,
-        "expansion_caveat": "exact only at beta=1 (IAF); with beta<1 the expanded mode applies decay per sub-tick and drifts"
+        },
+        "mechanism": "V = u - s*((1-lam)*u + lam*thresh) + s*v_r; lam=0,v_r=0 is the baseline hard reset exactly, lam=1,v_r=0 discards zero charge",
+        "cost": "2 scalars per spiking layer; identical FMA count per tick, so the reset change is free at inference time",
+        "caveat": "the sweep swaps the reset on ALREADY-TRAINED weights, which under-states what training with each reset would give; and a charge-conserving reset can raise the spike count, so read spikes_per_inference next to the accuracy"
       },
       "config": {
         "method": "harmonic_matched",
@@ -4486,31 +3440,34 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt07_sfa_integer_train/t_sweep_ultra_low",
+        "hub_dir": "/kaggle/working/hub/opt09_srif_softreset/default",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
         "no_resume": true,
         "selftest": false,
+        "reset_mode": "srif",
+        "learn_reset": true,
+        "lam_init": 0.9,
+        "v_reset_init": 0.0,
+        "u_bits": 0,
+        "u_headroom": 2.0,
+        "reset_sweep": "hard,soft,trained",
+        "bits_sweep": "0,4,2",
         "baseline": false,
         "bench": true,
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "sfa_levels": 4,
-        "soft_reset": true,
-        "storm_reg": 0.001,
-        "infer_mode": "graded",
-        "t_sweep": "2,3,4,6,8,12,16,25",
         "sampling_rate": 250.0
       }
     },
     "zip": {
-      "name": "t_sweep_ultra_low.zip",
+      "name": "default.zip",
       "files": 81,
-      "bytes": 12258005,
+      "bytes": 12267122,
       "MB": 12.3,
-      "sha256": "9b40b0bf29d963e1cd4165e4b8d4e3a1993bf7be7ddbb241165fc0976c82fe13"
+      "sha256": "8a98ec694efb80858eda68b7de3ac75b4d0d071416308c87d101a29f5d7fa79d"
     }
   }
 ]
\ No newline at end of file