VibeMathedMath problems solved with AI

The forcing conjecture for bipartite graphs

A graph FF with mm edges is pp-forcing if every sequence of graphs GnG_n with edge density tending to pp and t(F,Gn)→pmt(F,G_n)\to p^m is quasirandom of density pp, and forcing if this holds for every p∈(0,1)p\in(0,1). Chung, Graham and Wilson showed the four-cycle is forcing; Skokan and Thoma asked which bipartite graphs can replace it. Conlon, Fox and Sudakov formulated the forcing conjecture: a graph is forcing if and only if it is bipartite and contains a cycle. The conjecture implies Sidorenko's conjecture. Is every bipartite graph containing a cycle forcing?

Result
Disproved(see note)
Status
Candidate (review pending)
AI contribution
AI-discovered
Method
Construction
Field
Quasirandom graphs, graph limits
Posed by
Question of J. Skokan and L. Thoma (Graphs Combin., 2004); conjecture formulated by D. Conlon, J. Fox and B. Sudakov (GAFA, 2010, Conjecture 2)
Year posed
2004
Years open
22y
Solved
2026-09-23
Model
Unreleased internal OpenAI model
Vendor
OpenAI
Collaborators
—
Verification
Unreviewed
Publication
Announced
Collection
OpenAI math release (October 2026), version adc7f12
Significance
28 / 100
Disclosed cost
—
Wikipedia
No dedicated article

What was actually shown

Corollary 1.3: for the same connected bipartite HH (which contains cycles) there are p∈(0,1)p\in(0,1) and a nonconstant graphon WW with t(K2,W)=pt(K_2,W)=p and t(H,W)=p66t(H,W)=p^{66}; sampling gives finite graphs with edge and HH-densities tending to pp and p66p^{66} but four-cycle density tending to a limit above p4p^4. So HH is not pp-forcing at that pp, and the conjecture fails. Since the forcing conjecture implies Sidorenko's, this follows from the Sidorenko counterexample; no separate idea is claimed.

What the AI did

Produced by an unreleased internal OpenAI model as part of an OpenAI evaluation on open research problems. The release README says the vast majority of results used one fixed procedure, averaging about three hours of ChatGPT Pro thinking compute per result; this family is not among the README's stated exceptions (the Riemann zeta zero-free region work and the Hodge conjecture for CM abelian varieties). The manuscripts are authored as OpenAI with no human author named. The README also cautions that unformalized results could have issues. The disproof is Corollary 1.3 of the Sidorenko counterexample manuscript, obtained by interpolating between kernels of the same mean and sampling; it is not covered by the Lean formalization.

Verification

No independent mathematician has checked this yet. Checked here: Corollary 1.3 and its proof outline in 'A counterexample to Sidorenko's conjecture', read against the forcing conjecture as quoted from Conlon-Fox-Sudakov. The argument is a short consequence of Theorem 1.1, which is Lean-checked; the corollary itself is not formalized and was not refereed. The manuscript notes it exhibits one density p only and does not claim failure of p-forcing at every density, which is enough to refute the conjecture as stated.

Sources

Changelog1 change

Discussion