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Unconditional time lower bounds for Weisfeiler–Leman equivalence

OpenAI · September 25, 2026

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Abstract

For every sufficiently large fixed k, deciding whether two n-vertex graphs are k-Weisfeiler–Leman equivalent requires $n^{\Omega(k)}$ deterministic sequential time in the worst case. The bound holds at every sufficiently large graph order, even for simple connected uncolored graphs of diameter at most two, without a complexity assumption. Inputs are explicit adjacency matrices; the models are multitape Turing machines and sequential logarithmic-word RAMs with fixed polynomial-bit-time instructions. Both joint and separate replacement conventions are covered.

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work in progress

Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-21) and not checked by a person. May be wrong or incomplete. Report an error.

Follow-up works

  • Radu Curticapean, Mingjun Liu, Daniel Neuen, and Tim Seppelt, Lower Bounds for Weisfeiler–Leman (Zenodo:10.5281/zenodo.23213174, 2026-10-07). This concurrent AI-assisted manuscript cites the paper and states an unconditional exclusion of O(N^{k−1−δ}) deterministic multitape time for each fixed k ≥ 3 and δ > 0; its preface dates the AI-assisted results to September 19–29 and describes the manuscript as a hastily written public timestamp. [AI-generated per source] [family-level]

Formalization

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

News and blogs

  • Tim Seppelt, News: Lower Bounds for Weisfeiler–Leman (author website, 2026-10-07). Seppelt announces the concurrent manuscript in response to OpenAI’s release and reports extensions involving classical complexity, parameterized complexity and iteration bounds. [family-level]

Elsewhere

Independent sites; their content is not reviewed here.

Cite

@misc{OAI:Unconditional-time-lower-bounds-for-Weisfeiler-Leman-equivalence-September-25-2026,
  author = {{OpenAI}},
  title = {{Unconditional time lower bounds for Weisfeiler--Leman equivalence}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/Unconditional-time-lower-bounds-for-Weisfeiler-Leman-equivalence-September-25-2026/paper.pdf}{OAI:Unconditional-time-lower-bounds-for-Weisfeiler-Leman-equivalence-September-25-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/133.md. The Lean statements have not been checked by people against the paper's claims.

Family 133: The computational complexity of Weisfeiler–Leman refinement

Proves unconditional $n^{\Omega(k)}$ deterministic time lower bounds for joint and separate k-dimensional Weisfeiler–Leman equivalence, for sufficiently large fixed k in the specified sequential adjacency-matrix models. With dimension as input, joint equivalence is EXPTIME-complete even on subcubic graphs; deciding whether refinement identifies a graph is also EXPTIME-complete.

Other papers in this family: