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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Latent-variable joint and observed-data factorization

Definition

Let (Θ,T), (X,A), and (Z,C) be measurable spaces (sets equipped with sigma-algebras; Measurable spaces and measurable sets). Let ν and μ be sigma-finite reference measures on the observation and latent spaces; each has a countable measurable cover by sets of finite measure (Finite, sigma-finite, and semifinite measures). The finite product sigma-algebra is generated by measurable rectangles (The product sigma-algebra and its finite iterates). The product reference measure ν⊗μ is the one supplied by For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique.

A jointly measurable latent-variable density is a specified function p:Θ×X×Z⟶[0,∞] measurable for T⊗A⊗C and normalized on every parameter fibre: ∫X×Zp(θ,x,z) (ν⊗μ)(d(x,z))=1(θ∈Θ). Here x is the observed coordinate and z the latent coordinate. The observed marginal density is m(θ,x):=∫Zp(θ,x,z) μ(dz). The valid-fibre set is V:={(θ,x):0<m(θ,x)<∞}. Only on V define the normalized latent-fibre density q(z∣θ,x):=p(θ,x,z)m(θ,x). This definition requires a single jointly measurable density as an input. Likelihood densities supplies neither a sigma-algebra on Θ nor joint parameter measurability from separately specified likelihood sections; the joint measurability above is an additional hypothesis. Because p is already supplied as one joint function, this definition uses no choice axiom. It does not assert that AC can turn separately specified pointwise likelihood versions into a jointly measurable version. No quotient or pointwise conditional density is asserted on a zero or infinite marginal fibre.

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