{
  "analytic": "distillation-temperature",
  "kind": "declared_analytical_or_constructed_example",
  "experimental_model_result": false,
  "panels": [
    {
      "kind": "bar",
      "labels": [
        "Logit3",
        "Logit1",
        "Logit0",
        "Logit-1"
      ],
      "series": [
        {
          "label": "T=1",
          "y": [
            0.8309526605439513,
            0.11245721367093255,
            0.04137069692096015,
            0.015219428864155926
          ]
        },
        {
          "label": "T=2",
          "y": [
            0.5792585299413737,
            0.21309730428862375,
            0.12925004855316274,
            0.07839411721683971
          ]
        },
        {
          "label": "T=5",
          "y": [
            0.37474789122577884,
            0.25120102369822284,
            0.20566600330640597,
            0.16838508176959244
          ]
        }
      ],
      "ylabel": "Softmax probability"
    }
  ],
  "title": "Temperature reveals relative logit structure",
  "assumptions": "Four fixed logits3,1,0,-1. No teacher or student model inference.",
  "worked": "固定logit下，最大类别概率在T=1时约0.831、T=5时约0.375。分布更平缓不等于学生学得更好，需另测真实标签质量。",
  "source_ids": [
    "arxiv-1503.02531",
    "arxiv-1910.01108",
    "lora"
  ],
  "formula_source": "Article equations and this versioned script",
  "diagram_nodes": [
    "固定教师及独立真值",
    "软标签 / 表示 / 序列",
    "温度与选择规则",
    "容量受限学生训练",
    "教师错误继承分析",
    "质量约束下资源验收"
  ]
}