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OpenAI · 133-01 · 2026-09-25 · Theoretical computer science

Parity lifts and bounded-treewidth witnesses for Weisfeiler–Leman equivalence

preprints/Parity-lifts-and-bounded-treewidth-witnesses-for-Weisfeiler-Leman-equivalence-September-25-2026

Family 133. The complexity of Weisfeiler–Leman refinement.

The authors are OpenAI. This companion does not verify the proof and does not adopt it as a theorem of Ngo Cheung’s series. It is not a premise. O.1 stays NOT_CLOSED. Anti-de Sitter results are not a de Sitter state, not Em02-E’s relational lapse, not XVI-P’s QdS scheme, and not XVI-Q’s sigma-image record. No quantum coefficient is admitted. No compilation is asserted.

Read against the standing problems

Standing problems. No standing problem is named in this text. It was still read against the nine problems and does not close any of them. The authors are OpenAI. The companion does not verify the proof. This is not a premise of a manuscript by Ngo Cheung. O.1 stays NOT_CLOSED. No quantum coefficient is admitted. No compilation is asserted. XVI-P · XVI-N

Proves unconditional deterministic time lower bounds for joint and separate -dimensional Weisfeiler–Leman equivalence, for sufficiently large fixed 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.

For k ≥ 4, we construct two uncolored graphs that are k-dimensional Weisfeiler–Leman equivalent exactly when a prescribed finite-domain choice system has no compatible choice. The system has domains for joint refinement and k for separate-coordinate refinement. A successful choice is detected after two joint rounds or one separate round. Applied to sparse satisfiability, the reduction gives fixed-dimension time exclusions under positive-rate ETH, even for deciding equality of these early histograms.

Preprint source and Lean scope

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This preprint is named in the Lean scope note for 133: The computational complexity of Weisfeiler–Leman refinement. The authors are OpenAI. This companion does not verify the formalization. It is not a premise. The OAI library is not imported. No compilation is asserted. O.1 stays NOT_CLOSED.

ParityLifts.lean · ParityLifts.lean

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WLIdentification.lean · WLIdentification.lean

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WeisfeilerLeman.lean · WeisfeilerLeman.lean

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VariableWL.lean · VariableWL.lean

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