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.
Parameter-specialization functions
Definition
Fix an acceptable numbering .
For , define the recursively coded input tuple by
For , a total computable function is a parameter-specialization function when for all indices , all parameters , all inputs , and the sequence coding of A natural-number coding of finite sequences, one has
Remarks
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The function hard-wires the first inputs and leaves the last inputs free.
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The case gives a residual unary program on the stipulated coded-input convention: it is evaluated at , not at the bare number .
Depends on
Used by
- 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
- Lawrence S. Moss, Invitation to Computability and Recursion, The s-m-n Theorem (standard reference, not scraped)
- Robert I. Soare, Turing Computability: Theory and Applications (standard reference, not scraped)