{
  "status": "experimental-pilot",
  "teacher": "Qwen/Qwen2.5-0.5B-Instruct",
  "teacher_revision": "7ae557604adf67be50417f59c2c2f167def9a775",
  "initialization": "selected pretrained teacher layers, embeddings, final norm and tied head",
  "selected_teacher_layers_zero_based": [
    0,
    1,
    3,
    4,
    5,
    7,
    8,
    9,
    11,
    12,
    14,
    15,
    16,
    18,
    19,
    20,
    22,
    23
  ],
  "teacher_parameters": 494032768,
  "student_parameters": 404558464,
  "parameter_compression_ratio": 1.221165324574695,
  "trainable_lora_parameters": 6598656,
  "split": {
    "train": 160,
    "validation": 16,
    "test": 16
  },
  "split_method": "disjoint original topic families; four prompt styles per reference topic",
  "baseline_validation": {
    "response_cross_entropy": 8.80019211042218,
    "perplexity": 6635.5186361257,
    "coarsened_kl_times_temperature_squared": 4.535646666840809,
    "product_kernel_alignment_mse": 0.02475343681162929,
    "response_tokens": 656
  },
  "baseline_test": {
    "response_cross_entropy": 9.24253755874848,
    "perplexity": 10327.211241741448,
    "coarsened_kl_times_temperature_squared": 4.382519133305282,
    "product_kernel_alignment_mse": 0.20222297462234484,
    "response_tokens": 712
  },
  "final_validation": {
    "response_cross_entropy": 4.2188467550568465,
    "perplexity": 67.9550702416905,
    "coarsened_kl_times_temperature_squared": 0.7442473833699051,
    "product_kernel_alignment_mse": 0.0012354396374398564,
    "response_tokens": 656
  },
  "final_test": {
    "response_cross_entropy": 4.4324513995245605,
    "perplexity": 84.13741873900929,
    "coarsened_kl_times_temperature_squared": 0.685093670581164,
    "product_kernel_alignment_mse": 0.0188787064633217,
    "response_tokens": 712
  },
  "teacher_test": {
    "response_cross_entropy": 4.2087303761685835,
    "perplexity": 67.27107660651207
  },
  "best_epoch": 4,
  "optimization_steps": 640,
  "distillation": "0.3 assistant-token CE + 0.7 T^2 KL(top-64 plus tail) + 0.1 product-kernel alignment",
  "kernel_method": "fixed 4-D Gaussian sketch, 2*atan encoding, 8 training-only landmarks, rotation scale 0.5",
  "kernel_beta": 0.1,
  "temperature": 2.0,
  "top_k": 64,
  "architecture_selection": {
    "candidates": [
      12,
      18
    ],
    "metric": "validation reference cross-entropy",
    "candidate_12_cross_entropy": 6.182507134065395,
    "selected_layers": 18
  },
  "quantum_hardware": false,
  "principle_source": "https://www.academia.edu/175377730/Quantum_Artificial_Intelligence_with_Verifiable_Kernels",
  "elapsed_seconds_including_export_recovery": 355.1003918647766,
  "environment": {
    "torch": "2.7.1+cu118",
    "cuda": "11.8",
    "numpy": "2.5.3",
    "device": "NVIDIA GeForce RTX 2060"
  },
  "limitations": [
    "48 original AI-assisted reference answers; no external expert review",
    "Narrow reference likelihood does not establish factual, coding or safety quality",
    "No independent language benchmark or kernel-specific ablation",
    "Inherited Qwen pretraining; not foundation pretraining from random initialization",
    "Classical kernel alignment extension; no quantum advantage claim"
  ],
  "export_verification": "merged safetensors reloaded through ordinary Transformers; validation metrics recomputed"
}