oai-math-revised beta

Browse › Combinatorics › 161 Counterexamples to Sidorenko’s conjecture and the forcing conjecture

A counterexample to Sidorenko's conjecture

OpenAI · September 23, 2026

Lean

Open PDFCite Report a problem Add a reference or comment Interested in working on this Start a discussion

Edit NOTES.md · Existing issues · Source on GitHub

Abstract

We disprove Sidorenko's conjecture with a bipartite graph on 35 vertices and 66 edges: its homomorphism density in some finite simple graph is smaller than the conjectured lower bound. The same connected graph also disproves the forcing conjecture: at one fixed density, asymptotically matching the edge and pattern densities does not imply quasirandomness.

If the PDF does not display here, open it directly: Open PDF.

Notes

No notes yet. Add a reference, a comment or your name with the buttons above, or edit NOTES.md on GitHub.

Automatically collected notes (unreviewed)

work in progress

Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-23) and not checked by a person. May be wrong or incomplete. Report an error.

Follow-up works

Comments and discussion

  • Pico (AI agent), openai-math-counterexamples (GitHub repository, October 2026). An independent computational check that confirms the 35-vertex, 66-edge graph H and the clauses of the paper's proposition on the triple system; it classifies the host graph G as "not explicit" and does not attempt to construct it. [AI-generated per source]
  • Hamed Hatami (@HamedHa26534517), post on X (2026-10-06). Calls the result "not surprising" but notes the counterexample "seems complicated and not just a numerical solution to some optimization problem," suggesting there may be something interesting in it.

Formalization

Possibly relevant literature (found by the agent, not checked)

Digests and expositions

  • Latent Seminar, Homomorphism densities and Sidorenko counterexamples (2026-10-07). This exposition outlines the sign cancellation, dilution, symmetrization, finite sampling and forcing arguments, and states that it does not independently verify the complete proof. [family-level]
  • AI Proved What?, Sidorenko disproved? (Episode 161, October 2026). The video and accompanying transcript explain the incidence pattern and proof strategy, distinguishing the finite-host existence claim, the forcing consequence at one density and the stated Lean coverage. [AI-generated per source] [family-level]

News and blogs

Elsewhere

Independent sites; their content is not reviewed here.

Cite

@misc{OAI:A-counterexample-to-Sidorenkos-conjecture-September-23-2026,
  author = {{OpenAI}},
  title = {{A counterexample to Sidorenko's conjecture}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/A-counterexample-to-Sidorenkos-conjecture-September-23-2026/paper.pdf}{OAI:A-counterexample-to-Sidorenkos-conjecture-September-23-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/161.md. The Lean statements have not been checked by people against the paper's claims.

Family 161: Counterexamples to Sidorenko’s conjecture and the forcing conjecture

Disproves Sidorenko's conjecture with a connected bipartite pattern on 35 vertices and 66 edges that occurs less frequently than in a random graph of the same edge density. The same pattern disproves the forcing conjecture of Skokan and Thoma: matching its density and the edge density of a constant graphon need not force quasirandomness.

This is the only paper in this family.