# 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.

The library also supports:

- `parameter_naming`: canonical editable names inferred from repeated B-Rep
  evidence;
- `edit_strategy`: expected-change and non-target-preservation behavior for a
  semantic parameter.

Evidence support alone never makes a method router-consumable. Promotion
requires a positive held-out A/B result on independent source cases and full
edit-contract success for that method.

## Reconstruction grammar

`reconstruction_grammar` is the executable bridge between generalized
experience and a backend-neutral design plan. It may contain only:

- symbolic `parameter_roles`;
- symbolic `datum_roles`;
- required or optional semantic feature and relation roles;
- canonical stages with tokenized operation, feature, and reference roles;
- qualitative cardinality classes such as `single`, `paired`, `repeated`, or
  `dense`;
- validation roles.

It must not contain parameter values, exact member counts, absolute
coordinates, source identifiers, face references, or executable teacher
geometry. The publisher verifies that every promoted role and stage is present
in enough independent private cases. A consumer instantiates the grammar using
the user's dimensions, inferred dimensionless distributions, and backend
operations.