Ryser's conjecture
OPG_ryser_r_partite_hypergraph_cover_matching
Status ai-disproved high confidence
OpenAI's manuscripts construct, for every sufficiently large prime $q$, intersecting ($\nu = 1$) $r$-partite $r$-uniform hypergraphs with $r = q+1$ and covering number $\tau = r > (r-1)\nu$; further ranks $r = p^n + 1$ are also covered.
Cited literature (4)
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Surveys known results on Ryser's conjecture (open for $r \geq 4$), improves some bounds, and introduces new stronger conjectures and generalizations to multipartite graphs and hypergraphs.
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Proves the $t$-intersecting variant of Ryser's conjecture ($\tau(\mathcal{H}) \leq r - t$) for all $r \leq \tfrac{36}{7}t - 5$, significantly extending the previously known range.
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Constructs $r$-partite $r$-uniform intersecting hypergraphs with cover number at least $r-4$ for all sufficiently large $r$, showing that Ryser's Conjecture is close to best possible for every value of $r$.
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Disproves the conjecture for $r=3$ by exhibiting the line hypergraph of the Biggs-Smith graph (a cubic edge-transitive graph on 102 vertices) as an explicit counterexample; a second counterexample, the line hypergraph of the graph F168D on 168 vertices, is also identified.
Reviewer notes. Literature status before this model-generated claim: partial. Ryser's conjecture remains open for all $r \geq 4$. The $r = 3$ case was proved by Aharoni in 2001 (before the problem was posted). Since posting, Haxell and Scott (c. 2012) proved the weaker bound $\tau \leq (r - \varepsilon)\nu$ for $r = 4, 5$; DeBiasio et al. (2021) surveyed known results, improved some, and introduced new stronger variants; and Bishnoi et al. (2020) resolved the $t$-intersecting variant for $r \leq \tfrac{36}{7}t - 5$.
OpenAI manuscript collection ai-disproved
- A counterexample to Ryser's covering conjecture — main result formalized in Lean by OpenAI
- Balanced counterexamples to Ryser's conjecture at prime orders — main result formalized in Lean by OpenAI
Family 162: Counterexamples to Ryser’s covering conjecture · Lean formalization scope
These manuscripts were produced by an unreleased OpenAI model and released on
2026-10-06 in github.com/openai/math.
They have not been peer reviewed. Lean formalizations are OpenAI's own and cover
only the scope stated on their scope page; this project has not run or reviewed them.
The status above records the claim; before it, the literature review rated this
entry partial. Its confidence rates
whether the manuscript's theorem settles this entry, not whether the manuscript
is correct.
Discussion
Definitions: A (vertex) cover is a set of vertices which meets (has nonempty intersection with) every edge, and we let $ \tau(H) $ denote the size of the smallest vertex cover of $ H $ . A matching is a collection of pairwise disjoint edges, and we let $ \nu(H) $ denote the size of the largest matching in $ H $ . When the hypergraph is clear from context, we just write $ \tau $ or $ \nu $ . It is immediate that $ \nu \le \tau $ , since every cover must contain at least one point from each edge in any matching. For $ r $ -uniform hypergraphs, $ \tau \le r \nu $ , since the union of the edges from any maximal matching is a set of at most $ r \nu $ vertices that which meets every edge. Ryser's conjecture is that this second bound can be improved if $ H $ is $ r $ -uniform and $ r $ -partite (the vertices may be partitioned into $ r $ sets $ V_1,V_2,\ldots,V_r $ so that every edge contains exactly one element of each $ V_i $ ). In the special case when $ r=2 $ our trivial inequality yields $ \nu \le \tau $ and the conjecture implies $ \tau \le \nu $ , so we should have $ \nu = \tau $ . In fact this is true, it is König's theorem on bipartite graphs [K]. Indeed, Ryser's conjecture is probably easiest to view as a high dimensional generalization of this early result of König. Recently, Aharoni [A] has applied the "Hall's theorem for hypergraphs" result of Aharoni and Haxell [AH] to prove this conjecture for $ r=3 $ . However the case $ r=4 $ is still wide open. Some other interesting work on this problem concerns fractional covers and fractional matchings. A fractional cover of $ H = (V,E) $ is a weighting $ a : V \rightarrow {\mathbb R}^+ $ so that $ \sum_{x \in S} a(x) \ge 1 $ for every $ S \in E $ , and the weight of this cover is $ \sum_{x \in V} a(x) $ . The fractional cover number , denoted $ \tau^* $ is the infimum of the set of weights of covers. Similarly, a fractional matching is an edge-weighting $ b : E \rightarrow {\mathbb R}^+ $ so that $ \sum_{S \ni x} b(S) \le 1 $ for every $ x \in V $ , and the weight of this matching is $ \sum_{S \in E} b(S) $ . The fractional matching number , denoted $ \nu^* $ is the supremum of the set of weights of fractional matchings. Fractional covers and matchings are the usual fractional relaxations, and by LP-duality, they satisfy $ \nu^* = \tau^* $ for every hypergraph. For $ r $ -regular $ r $ -partite hypergraphs, Füredi [F] has proved that $ \tau^* \le (r-1)\nu $ and Lovasz [L] has shown $ \tau \le \frac{1}{2} r \nu^* $ .
Bibliography
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[A]R. Aharoni, Ryser's conjecture for tripartite 3-graphs. Combinatorica 21 (2001), no. 1, 1--4. MathSciNet MathSciNet -
[AH]R. Aharoni and P. Haxell, Hall's theorem for hypergraphs. J. Graph Theory 35 (2000), no. 2, 83--88. MathSciNet MathSciNet -
[F]Z. Füredi, Maximum degree and fractional matchings in uniform hypergraphs, Combinatorica 1 (1981), 155--162. MathSciNet MathSciNet -
[K]D. König, Theorie der endlichen und unendlichen Graphen, Leipzig, 1936. -
[L]L. Lovász, On minimax theorems of combinatorics, Ph.D thesis, Matemathikai Lapok 26 (1975), 209--264 (in Hungarian). MathSciNet MathSciNet