# Provenance-Sensitive Multiplicity **Domain:** Explainable AI / Computational Linguistics / Evidence Architecture **Doc Type:** Canonical Project-Derived Principle **Maturity:** Developed **Related:** [[wiki/Provenance|Provenance]], [[wiki/Multi-Index Language Representation|Multi-Index Language Representation]], [[wiki/Neuro-Symbolic AI|Neuro-Symbolic AI]], [[wiki/Construction Transparency|Construction Transparency]], [[wiki/Symbolic Language Engine|Symbolic Language Engine]] --- ## Definition **Provenance-Sensitive Multiplicity is the principle that a system may offer several kinds of linguistic suggestion while preserving what kind of relation and evidence produced each one.** Multiplicity is valuable only when heterogeneous outputs are not flattened into one undifferentiated confidence score. ## Relation Types A reconstructed [[wiki/VersePerfect|VersePerfect]] could explicitly identify: - a phonological match derived from a pronunciation representation; - a semantic or taxonomic relation from [[wiki/WordNet|WordNet]] or another ontology; - an association observed in a corpus; - a candidate satisfying a selected verse-form constraint; - a vector-neighborhood result from an embedding model; or - a generative suggestion produced by a language model. These outputs may converge, disagree or carry different evidentiary weight. The interface should make those differences legible to the writer. ## Wider Corpus Context The principle connects creative tooling to [[wiki/Provenance|Provenance]], [[wiki/Construction Transparency|Construction Transparency]] and the larger rights architecture. Systems acquire power when model inference, retrieved evidence and administrative classification become indistinguishable. Preserving relation type is therefore both an epistemic and constitutional safeguard. ## Key Insight **Do not ask one confidence score to erase the difference between evidence, relation, constraint and conjecture.** ## See Also [[wiki/Provenance|Provenance]], [[wiki/Multi-Index Language Representation|Multi-Index Language Representation]], [[wiki/Knowledge Representation|Knowledge Representation]], [[wiki/Neuro-Symbolic AI|Neuro-Symbolic AI]], [[wiki/Candidate Generation and Ranking|Candidate Generation and Ranking]], [[wiki/Construction Transparency|Construction Transparency]] ## Sources / Provenance - Principle articulated in [[projects/Ten Years Building a Symbolic Language Engine|Ten Years Building a Symbolic Language Engine]].