Problem packetResearch packetR139
Classical graph-property results concern depth rather than this six-vertex leaf count
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Recorded status: reported
Recorded scope: graph-property decision-tree and Boolean decision-tree size literature reviewed through 2026-07-24
Complete recorded scope and conditions
{
"kind": "bounded",
"statement": "graph-property decision-tree and Boolean decision-tree size literature reviewed through 2026-07-24",
"bounds": {
"review_year": {
"max": 2026
}
},
"exhaustive": false
}Originating problem: Leaf complexity of six-vertex graph connectivity
Authored record and scope
- Authored title
- Classical graph-property results concern depth rather than this six-vertex leaf count
- Record type
- claim
- Stored status
- reported
- Evidence grade
- sourced
- Recorded scope data
- { "kind": "bounded", "statement": "graph-property decision-tree and Boolean decision-tree size literature reviewed through 2026-07-24", "bounds": { "review_year": { "max": 2026 } }, "exhaustive": false }
2Authored explanation
Rivest and Vuillemin study graph properties through adaptive adjacency queries and prove a quadratic worst-case query lower bound for every nontrivial monotone graph property. Kahn, Saks, and Sturtevant develop the topological evasiveness method and prove the prime-power vertex case of the evasiveness conjecture. Those results measure maximum root-to-leaf depth.
Chattopadhyay, Dahiya, Mande, Radhakrishnan, and Sanyal define deterministic decision-tree size as the minimum number of leaves and study it for general Boolean functions. Their subcube viewpoint matches the finite recurrence used here. A search of these sources and related graph-property literature found no tabulation of the six-vertex connectivity leaf minimum. The value 1,693 is therefore supported here by a complete finite certificate.
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3Evidence
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Verification source: doi.org ↗, Literature search completed 2026-07-24; Chattopadhyay et al. 2023, Definition 2.6 and Proposition 2.12; Rivest and Vuillemin 1976; Kahn, Saks, and Sturtevant 1984
4What was measured
5How it connects
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}7Provenance
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