Jerry
85 lines
2.9 KiB
Markdown
85 lines
2.9 KiB
Markdown
# Published experience library
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The published library uses schema version `2.0` and contains only promoted,
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generalized experience:
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```json
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{
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"schema_version": "2.0",
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"library_kind": "generalized_cad_experience",
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"induction_mode": "llm_proposals_with_deterministic_evidence_verification",
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"policy": {
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"instance_parameters_allowed": false,
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"absolute_coordinates_allowed": false,
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"llm_semantic_review_required": true,
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"draft_evidence_verified": true,
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"router_consumable": true,
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"minimum_support": 20
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},
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"corpus_summary": {
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"accepted_case_count": 1000,
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"duplicate_case_count": 12
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},
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"experience_summary": {
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"llm_proposal_count": 24,
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"promoted_experience_count": 18,
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"candidate_experience_count": 6,
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"by_kind": [{"kind": "feature_motif", "count": 7}],
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"by_scope": [{"scope": "flanged_hub_adapter", "count": 5}]
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},
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"experiences": [
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{
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"id": "motif.base_flange+hollow_sleeve",
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"kind": "feature_motif",
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"scope": ["flanged_hub_adapter"],
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"when": {"features": ["base_flange", "hollow_sleeve"]},
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"guidance": "Treat these feature roles as a reusable composition.",
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"support": 243,
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"confidence": 0.91
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}
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],
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"candidate_experiences": [
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{
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"id": "motif.flanged_hub_adapter.base_flange+hollow_sleeve",
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"kind": "feature_motif",
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"scope": ["flanged_hub_adapter"],
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"when": {"features": ["base_flange", "hollow_sleeve"]},
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"support": 7,
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"required_support": 20,
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"remaining_support": 13,
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"promotion_state": "candidate",
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"consumer_policy": "visible_for_review_but_not_available_to_cad_router"
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}
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]
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}
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```
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Allowed numeric values describe evidence strength or dimensionless
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distributions: support counts, confidence, frequency, percentiles, and sample
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counts. Absolute lengths, diameters, heights, radii, angles tied to a single
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case, positions, and coordinates are forbidden.
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Consumers query this library by requested family and feature vocabulary. They
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must not receive the induction corpus, private case JSON, or
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`candidate_experiences`. Only `experiences` is executable guidance.
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## Reconstruction grammar
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`reconstruction_grammar` is the executable bridge between generalized
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experience and a backend-neutral design plan. It may contain only:
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- symbolic `parameter_roles`;
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- symbolic `datum_roles`;
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- required or optional semantic feature and relation roles;
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- canonical stages with tokenized operation, feature, and reference roles;
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- qualitative cardinality classes such as `single`, `paired`, `repeated`, or
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`dense`;
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- validation roles.
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It must not contain parameter values, exact member counts, absolute
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coordinates, source identifiers, face references, or executable teacher
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geometry. The publisher verifies that every promoted role and stage is present
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in enough independent private cases. A consumer instantiates the grammar using
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the user's dimensions, inferred dimensionless distributions, and backend
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operations.
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