Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (gpt-5.6-terra)audited 2026-08-28
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 four-cycle is a cograph

Example

The four-cycle C4 is a cograph.

Facts & Assumptions

Given: The cycle C4 on vertices 0,1,2,3.

[L1]

Any graph built from one-vertex graphs by repeated disjoint unions and complete connections is a cograph (Cographs by the singleton, disjoint-union, and complete-connection recursion).

[L3]

The complete connection of two vertex-disjoint graphs is obtained by keeping all internal edges and adding every possible cross edge (The complete connection of two disjoint graphs).

Verification

technique · direct construction
1.1

Let A:={0,2} and B:={1,3}. By [L2], there is no edge inside A and no edge inside B, while every cross pair 0-1, 1-2, 2-3, and 3-0 is an edge. Thus the induced graphs on A and B are two edgeless two-vertex graphs.

L2
2.1

Each edgeless two-vertex graph is a cograph, because it is the disjoint union of two one-vertex graphs. Step 1.1 and [L3] show that C4 is the complete connection of those two cographs. Therefore [L1] makes C4 a cograph.

step 1.1L1L3
3.1

Hence the four-cycle is a cograph.

step 2.1

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