GPT-5.6 produced an 18-vertex counterexample refuting Teschner's 31-year bondage-number conjecture

2026-08-11

An 18-vertex cubic bipartite graph attributed to GPT-5.6 has bondage number b(G)=5, above (3/2)Δ(G)=4.5, refuting Teschner's 1995 conjecture; the bundled Python verifier reproduces.

What problem this solves

Graph theory has a quantity called the domination number γ(G): the smallest set of vertices such that every vertex is either in the set or next to a member of it. The bondage number b(G) is its fragility twin, the fewest edges whose removal makes the domination number go up. In 1995 Teschner proved that graphs with domination number at most 3 satisfy b(G) ≤ (3/2)Δ(G), where Δ(G) is the maximum degree, and conjectured the bound for all graphs. It held across many graph classes for thirty years. This paper kills it with a counterexample.

Method

The counterexample is an 18-vertex connected cubic (every vertex has degree 3) bipartite graph. The argument has three steps, all hand-checkable or exactly enumerable:

The load-bearing lemma (Lemma 2.2, the bundle criterion): a dominating set D still dominates after deleting edges F iff, for every vertex x outside D, not all of x's edges into D are removed. The enumeration rests on this.

Re-running the paper's appended Python, plus two extra checks (that no 5-set dominates, and that after F₅ a 7-set dominates but no 6-set does), everything passes. The computational core of the counterexample reproduces.

Results

The single result is the counterexample: b(G)=5, above (3/2)Δ(G)=4.5, so Teschner's conjecture is false. No benchmark table, because this is not a benchmark exercise.

quantityvalue
vertices / edges18 / 27
maximum degree Δ(G)3
domination number γ(G)6
bondage number b(G)5
(3/2)Δ(G)4.5

Why it matters

On two levels. Mathematically, a 31-year-old conjecture falls in the smallest possible way: the counterexample lives on cubic graphs (the lowest nontrivial degree), so the 3/2 constant fails even in the tamest class. The AI angle is what the Chinese community is actually discussing. The author's generative-AI disclosure states the counterexample was produced by OpenAI's GPT-5.6 Sol at the max reasoning setting after he posed the problem, then revised, expanded, independently verified, and signed off by the author. That pushes the LLM's role in mathematics one step past doing contest problems (AlphaProof at the IMO) toward constructing counterexamples to open conjectures.

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