update APPLIED run index

applied/_index/APPLIED_RUNS_INDEX.json

@@ -1,106 +1,89 @@
 [
   {
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@@ -128,7 +111,7 @@
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@@ -140,13 +123,13 @@
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@@ -154,7 +137,7 @@
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@@ -165,21 +148,21 @@
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@@ -188,74 +171,74 @@
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@@ -296,7 +279,7 @@
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@@ -310,7 +293,7 @@
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@@ -321,75 +304,98 @@
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@@ -417,11 +423,11 @@
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@@ -429,171 +435,123 @@
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+            "T": 100,
+            "arm": "raw",
+            "acc": 0.9428571428571428,
+            "syn_per_inference": 3264047.5113636362,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.026607232035192413
+          },
+          {
+            "T": 100,
+            "arm": "thresh",
+            "acc": 0.9321428571428572,
+            "syn_per_inference": 4339798.512987013,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.03537633126326277
+          },
+          {
+            "T": 100,
+            "arm": "ftbc",
+            "acc": 0.9407142857142857,
+            "syn_per_inference": 3693235.9448051946,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.03010580740691839
+          },
+          {
+            "T": 100,
+            "arm": "both",
+            "acc": 0.9292857142857143,
+            "syn_per_inference": 4875421.047077922,
+            "dense_per_inference": 122675200.0,
+            "event_fraction_of_dense": 0.03974251557835587
           }
         ],
-        "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"
+        "calibration_reference": "same network at full T (NOT a source ANN)"
       },
       "config": {
         "method": "harmonic_matched",
@@ -1404,7 +1706,7 @@
         "decision_margin": 2.0,
         "export": false,
         "seed": 1234,
-        "hub_dir": "/kaggle/working/hub/opt08_mint_quant/u_bits_8",
+        "hub_dir": "/kaggle/working/hub/opt03_ftbc_threshold_balance/calib_p95",
         "repo_id": "UWU-R-13/SSVEP-SNN",
         "push_hf": false,
         "keep_epoch_weights": 1,
@@ -1415,21 +1717,23 @@
         "bench_warmup": 10,
         "bench_iters": 50,
         "bench_train_steps": 20,
-        "w_bits": 4,
-        "u_bits": 8,
-        "leak_shift": 0,
-        "qat": true,
-        "bits_sweep": "2,4,8,0",
-        "l2_bytes": 2097152,
+        "calibrate_thresh": true,
+        "calib_percentile": 95.0,
+        "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": "u_bits_8.zip",
+      "name": "calib_p95.zip",
       "files": 81,
-      "bytes": 12213011,
+      "bytes": 12247718,
       "MB": 12.2,
-      "sha256": "63dd1fe2bcaf39fb5ab00bb833afca7ab94b1ab1e3556da5782d622e248c8bd7"
+      "sha256": "7bfd3a9ba5be867423a06c63cc3e7652e2784be8ea2ed7f3064997e028337fd1"
     }
   }
 ]