{
  "schema": 1,
  "kind": "knowledge-page-receipt",
  "page": "tinker-curriculum",
  "created_at": "2026-07-26T03:15:40Z",
  "updated_at": "2026-07-27T06:33:39.657Z",
  "base_model": "Qwen/Qwen3.5-35B-A3B-Base",
  "training_method": "LoRA (low-rank adaptation)",
  "task_sets": [
    {
      "id": "task-set-01-flat-json",
      "title": "Flat JSON transformation",
      "page": "tinker-curriculum-task-set-01",
      "dataset_sha256": "60fb4f205777f7414db175d76b05538cba9fd784b771d836b7060130dd89fc65",
      "gate_passed": true
    }
  ],
  "design_principles": [
    "one task set at a time",
    "cumulative retention",
    "no private data"
  ],
  "claims_documented": [
    "curriculum teaches a raw language model one closed task set at a time",
    "each task set has a sealed promotion gate",
    "future task-set additions must preserve and rerun earlier frozen evaluations",
    "base model is Qwen3.5-35B-A3B-Base (35B parameters, ~3B active per token)",
    "training uses LoRA (low-rank adaptation)"
  ]
}