# Published experience library

The published library uses schema version `2.0` and contains only promoted,
generalized experience:

```json
{
  "schema_version": "2.0",
  "library_kind": "generalized_cad_experience",
  "induction_mode": "llm_proposals_with_deterministic_evidence_verification",
  "policy": {
    "instance_parameters_allowed": false,
    "absolute_coordinates_allowed": false,
    "llm_semantic_review_required": true,
    "draft_evidence_verified": true,
    "router_consumable": true,
    "minimum_support": 20
  },
  "corpus_summary": {
    "accepted_case_count": 1000,
    "duplicate_case_count": 12
  },
  "experience_summary": {
    "llm_proposal_count": 24,
    "promoted_experience_count": 18,
    "candidate_experience_count": 6,
    "by_kind": [{"kind": "feature_motif", "count": 7}],
    "by_scope": [{"scope": "flanged_hub_adapter", "count": 5}]
  },
  "experiences": [
    {
      "id": "motif.base_flange+hollow_sleeve",
      "kind": "feature_motif",
      "scope": ["flanged_hub_adapter"],
      "when": {"features": ["base_flange", "hollow_sleeve"]},
      "guidance": "Treat these feature roles as a reusable composition.",
      "support": 243,
      "confidence": 0.91
    }
  ],
  "candidate_experiences": [
    {
      "id": "motif.flanged_hub_adapter.base_flange+hollow_sleeve",
      "kind": "feature_motif",
      "scope": ["flanged_hub_adapter"],
      "when": {"features": ["base_flange", "hollow_sleeve"]},
      "support": 7,
      "required_support": 20,
      "remaining_support": 13,
      "promotion_state": "candidate",
      "consumer_policy": "visible_for_review_but_not_available_to_cad_router"
    }
  ]
}
```

Allowed numeric values describe evidence strength or dimensionless
distributions: support counts, confidence, frequency, percentiles, and sample
counts. Absolute lengths, diameters, heights, radii, angles tied to a single
case, positions, and coordinates are forbidden.

Consumers query this library by requested family and feature vocabulary. They
must not receive the induction corpus, private case JSON, or
`candidate_experiences`. Only `experiences` is executable guidance.