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      "top5": [
        {
          "index": 450,
          "label": "bobsled",
          "logit": 6.530324935913086,
          "probability": 0.16905292868614197
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        {
          "index": 439,
          "label": "bearskin",
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        {
          "index": 795,
          "label": "ski",
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        {
          "index": 746,
          "label": "puck",
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        {
          "index": 518,
          "label": "crash helmet",
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      ],
      "stages": [
        {
          "name": "patches",
          "outputShape": [1, 196, 192],
          "inputShape": [1, 3, 224, 224],
          "semantics": "Row-major projected patch tokens before CLS and position addition"
        },
        {
          "name": "tokens",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Middle CLS inserted at 98; learned absolute positions added"
        },
        {
          "name": "block1-mixer",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Mixer contribution only; not the full residual feature",
          "block": 1
        },
        {
          "name": "block1-residual",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Full residual feature after adding this block's mixer contribution",
          "block": 1
        },
        {
          "name": "block12-mixer",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Mixer contribution only; not the full residual feature",
          "block": 12
        },
        {
          "name": "block12-residual",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Full residual feature after adding this block's mixer contribution",
          "block": 12
        },
        {
          "name": "block24-mixer",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Mixer contribution only; not the full residual feature",
          "block": 24
        },
        {
          "name": "block24-residual",
          "outputShape": [1, 197, 192],
          "inputShape": [1, 197, 192],
          "semantics": "Full residual feature after adding this block's mixer contribution",
          "block": 24
        },
        {
          "name": "normalized-cls",
          "outputShape": [1, 192],
          "inputShape": [1, 192],
          "semantics": "Final RMSNorm applied after last residual addition, then middle CLS selected"
        },
        {
          "name": "logits",
          "outputShape": [1, 1000],
          "inputShape": [1, 192],
          "semantics": "ImageNet-1K linear classifier logits"
        }
      ]
    }
  ],
  "limitations": [
    "Three individual photographs, not an accuracy evaluation.",
    "No latency, calibration, attention-map or saliency measurement.",
    "CPU float32 reference results; released GPU fused kernels may differ numerically.",
    "Recorded stage shapes come from real tensors; schematic planes do not visualize activation values.",
    "The teaching model is random-weight and separate from this official pretrained classifier."
  ]
}