Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12
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.

Listing the first few well-formed machine codes in shortlex order

Example

Write E(D) for the binary code of a machine description tuple D under the explicit unary-arity, self-delimiting encoder fixed on the A-page. The first three successful description tuples whose codes occur in shortlex order are D1=(11,0,1,0,0,0), D2=(11,0,1,0,0,1), D3=(11,0,1,1,0,0). They all have m=3, s=0, and n=1, so there is one nonhalting state 0, only the blank tape symbol 0, and exactly one transition triple to specify.

The machines decoded from these three tuples are, respectively: an immediate left-clamped looper, a right-moving looper, and an immediate acceptor.

Facts & Assumptions

Given: The three description tuples D1,D2,D3 above and the shortlex ordering of binary words.

[L1]

Coded deterministic one-tape Turing machines admit an effective enumeration by running the total decoder over binary words in shortlex order and outputting the successful decodings, by Turing machines admit an effective enumeration.

[L2]

The machine decoder is total and reconstructs a unique coded machine from every successful code, by The chosen machine coding is injective and has a total decoder.

Verification

technique · direct
1.1

Each tuple Di has the correct length 6=3+3(32)1, satisfies m=33, n=11, and 0s=0<1, and records a transition entry with target state in {0,1,2}, tape symbol 0, and move bit in {0,1}. So each E(Di) is a well-formed machine code.

given
2.1

Any well-formed machine description tuple has arity 3+3(m2)n6, with equality only when m=3 and n=1; then necessarily s=0. Under the fixed encoder, the unary arity header makes every larger-arity code longer than these shortest valid codes. For arity six, shortlex compares the self-delimiting canonical entries in order: target 0 with move 0, target 0 with move 1, and target 1 with move 0 give E(D1),E(D2),E(D3) respectively.

givenstep 1.1
2.2

By [L2], decoding E(Di) recovers exactly the machine described by Di. Reading off the single transition triple of each tuple gives the three concrete machines described in the example statement.

L2step 1.1
3.1

Therefore the shortlex enumeration from [L1] begins by listing these three machines, each exactly once. This shows concretely what the effective enumeration does at its first successful decodings.

L1step 2.1step 2.2

Depends on

Used by

Nothing in the library uses this result yet.

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