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.
Universal and acceptable numberings
Definition
Let be a numbering of the partial computable functions.
The numbering is universal when the binary partial function is itself partial computable.
The numbering is acceptable when it is universal and there exists a total computable function such that for all one has where is the chosen code of the two-term sequence .
Remarks
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Universality says one indexed program can simulate the whole numbering.
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Acceptability adds one effective hard-wiring operation: the first input can be compiled into the index while the residual program still receives one natural input.
Depends on
Used by
- Parameter-specialization functions Definition
- A universal Martin-Löf test exists Lemma
- Acceptable numberings are computably intertranslatable Proposition
- The fixed machine coding gives an acceptable numbering Proposition
- Invariance theorem for prefix complexity Theorem
- The halting set is Sigma₁⁰-complete Theorem
- The s-m-n theorem Theorem
Dependency tree · two levels
5 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
- Robert I. Soare, Turing Computability: Theory and Applications (standard reference, not scraped)
- Richard Zach, Incompleteness and Computability (standard reference, not scraped)