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 Savitch recursion that never materializes the full configuration graph
Statement refuted
Savitch's algorithm stores the whole configuration graph.
Facts & Assumptions
Given: a Savitch reachability search on a graph with many midpoint candidates.
The false statement being refuted is exactly the claim above (FALSE: Savitch's algorithm stores the whole configuration graph).
Counterexample
Take a graph with start vertex , target vertex , and many possible midpoints , but suppose only actually lies on a short path from to . This is a legitimate instance of the claim in [L1].
Savitch's recursion tests the midpoint candidates one by one. At any moment it stores only the current pair of endpoints, the current candidate , and the recursion stack for the shorter subproblems. When the test for fails, that local data is discarded before is tried. Hence no stage materializes the whole graph at once, even though the algorithm still eventually finds the successful midpoint .
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
- Eric Blais, Models of Computation, 17. Space Complexity (standard reference, not scraped)