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.
Evaluating elementary Borel codes
Example
Fix a space with enumerated basis and . The leaf code evaluates to ; a complement above that leaf evaluates to ; an empty union evaluates to ; and a complement above an empty union evaluates to . These calculations hold in ZF.
Facts & Assumptions
Code nodes, their labels, and their well-foundedness requirement are in Well-founded Borel evaluation codes.
Existence and uniqueness of Borel-code evaluation provides unique evaluation in ZF by the three displayed rules.
Verification
Given: , and the fixed index .
Let with root label leaf. It is valid since it has no child and its empty relation is well-founded. F2 gives . For label the root complement and leaf. Then and , which is closed because is open.
On put a union label; then . On put a complement at the root and a union at . Then and .
In each two-node tree the sole child is terminal; any subset containing it has it as a minimal element, and a remaining nonempty subset is the singleton root. Thus the child relation is well-founded, and the complement nodes have exactly child zero as required. All four codes are valid even when or is empty or all of . The empty underlying tree is not one of these codes, because F1 requires a root. QED.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Definitions 7.1–7.2, pp62–63; examples derived directly from the local labelled-code convention (standard reference, not scraped)