Module logical_confidence 

Skeleton for projection-aware logical-confidence scoring.

logical_confidence is the future answer to “how much does this projection preserve the reasoning structure of the corpus?” — the degree to which logical relations between concepts (entailment, taxonomy, contradiction) survive the embedding → sphere mapping.

This module is a deliberately empty placeholder so that downstream tests and pipeline code can consume the API today and the underlying metric can be filled in later without churning callers. The current implementation always returns None; the projection-comparison test prints n/a in the score column until a real metric ships.

Replace UnimplementedLogicalConfidence with a concrete scorer when ready, or wire a different impl in via the LogicalConfidence trait.

Structs

UnimplementedLogicalConfidence

Default placeholder. Always returns None.

Traits

LogicalConfidence

Returns a scalar confidence in [0, 1] describing how well the projected layout preserves the reasoning structure of the corpus, or None if the implementation cannot answer for the given inputs (or, in the case of UnimplementedLogicalConfidence, at all).