Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-generatedPipeline-generatedprecheck passaudited 2026-09-07
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.

The Cook--Levin construction can be made parsimonious

Statement

For every fixed polynomial-time nondeterministic machine N, one can compute in polynomial time a formula φN,x together with an ordered list VN,x of all its declared variables, whose satisfying assignments are in bijection with the accepting computation paths of N on x. Consequently x(φN,x,VN,x) is a parsimonious reduction from the accepting-path count of N to NumberSAT.

Facts & Assumptions

Given: a fixed nondeterministic polynomial-time machine N.

[L1]

A bounded tableau records one computation branch, including the unique state-tagged head position in each row, by A bounded computation tableau for a nondeterministic Turing-machine run.

[L2]

The standard local tableau constraints are satisfiable exactly when an accepting bounded tableau exists, by The Cook-Levin formula is satisfiable if and only if an accepting bounded tableau exists.

[L3]

The Cook--Levin formula is computable in polynomial time for fixed N, by The Cook-Levin reduction map is computable in polynomial time.

[L5]

NumberSAT counts assignments to the complete ordered declared-variable list, including unused variables, by NumberSAT.

[L4]

A parsimonious reduction preserves the exact numerical count, by Parsimonious reductions between counting functions.

Proof

technique · direct
1.1

Replace N by a fixed one-tape simulator N. Between two transitions of N, the simulator's sweeps are deterministic; at an original nondeterministic transition it makes exactly the same tagged choice as N. Each such choice first enters a distinct intermediate state labelled by its transition tag, before deterministically executing that transition; these states are part of the recorded configuration. Even choices with the same eventual successor therefore give different tableau rows. Erasing the deterministic simulation steps and reading these tags is a bijection between accepting paths. The standard multitape-to-one-tape simulation has polynomial slowdown. Choose a polynomial T(n)n+1 bounding both its running time and every tape position it can visit, and pad every halted branch to time T(n). This supplies all hypotheses of [L1]--[L3].

givenconstruct
2.1

Use one-hot tableau variables for the symbol (including the tagged state) in every time-cell position. The initial-row, exactly-one-symbol, local-transition, and accepting constraints use only those variables. Take their conjunction as φN,x without introducing auxiliary variables. Let VN,x list every cell variable Xt,c,a once, in lexicographic order of time, cell, and a fixed order on the simulator alphabet. Output the encoded pair (φN,x,VN,x), which is well formed for NumberSAT.

L1L5step 1.1construct
3.1

An accepting path fixes every cell of its padded tableau and therefore one truth value for every tableau variable. Every declared variable is such a cell variable, so none contributes a free choice. Conversely, any satisfying assignment gives exactly one legal accepting tableau by [L2], and the retained choice tags recover exactly one accepting path of N, hence exactly one accepting path of N by step 1.1. These maps are inverse, so #accN(x)=NumberSAT(φN,x,VN,x).

L1L2L5step 1.1step 2.1
4.1

The tableau has polynomial dimensions, its local constraints have polynomial total size, and [L3] supplies the polynomial-time construction. Enumerating the polynomially many declared variable names in the specified order also takes polynomial time. Together with the exact equality in step 3.1, [L4] proves parsimony.

L3L4step 3.1

Depends on

Used by

Dependency tree · one level

2 results within one dependency step 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