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.
A powered graph whose alphabet grows
Statement refuted
Local-view powering does not preserve the input alphabet on every graph and every positive parameter. The one-vertex graph below has base unsatisfaction , while its local-view alphabet has size rather than .
Facts & Assumptions
The universal claim under examination is that the local-view powering step keeps the input alphabet unchanged for every graph and every positive powering parameter. (False: graph powering alone keeps the alphabet fixed)
Counterexample
Given: Let have one vertex , base alphabet , and two loop edges with relations and .
The only vertex labels are and . Label passes and fails ; label passes and fails . Thus every labeling violates exactly one of the two edges and . Each loop has two incidence slots, so the one-vertex graph is regular.
Set , so . In the local-view convention, a powered label assigns an element of to each length- lazy-step pattern, hence the pattern set has size and the view alphabet has size .
Since , this explicit power does not preserve the alphabet, contradicting the universal assertion in [F1]. The witness uses a positive parameter and has the claimed base unsatisfaction ; it makes no claim that every graph or every parameter yields alphabet growth.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
3 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
- Arora and Barak, Computational Complexity: A Modern Approach, §18.5.1, Lemma 18.31, printed pp. 371–372 (standard reference, not scraped)