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 reachable-vertex count is verifiable in NL
Statement
Given the true count , there is a nondeterministic -work-space verifier that accepts a certificate exactly when . The certificate lists all reachable vertices in strictly increasing order, each with a walk from of length at most .
Facts & Assumptions
Given: an -vertex digraph, , , the true count , and a vertex .
consists of precisely the vertices with an -to-vertex walk of length at most (Inductive counts of reachable vertices).
Proof
Guess, in strictly increasing vertex-label order, distinct vertices different from , together with for each an -to-that-vertex walk of length at most . Check each edge and count the listed vertices.
The current vertex, previous path vertex, path-length counter, list counter, and labels use space. Thus this is an NL verifier.
If it accepts, [L1] puts all listed vertices in . The given equality makes this list exhaust , so . Conversely, when , list every member of with a witnessing bounded walk; the list has exactly the given length , and the verifier accepts.
Depends on
Used by
Dependency tree · two levels
7 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, §3.4.2 (standard reference, not scraped)