OpenAI reports a linear cycle-and-edge decomposition for every graph

For some absolute constant C, every finite simple undirected graph on n vertices has an edge partition into at most Cn simple cycles and single edges.

Sources for this record

What was already known

The Erdős–Gallai conjecture was open for general graphs; Bucić and Montgomery proved the earlier O(n log* n) upper bound, with linear bounds known for special classes.

AI involvement AI-led

OpenAI says its internal frontier model produced this mathematics release and credits OpenAI as manuscript author. The source does not detail the individual human mathematical input for this result.

OpenAI says its internal frontier model produced this release and credits OpenAI as the paper author. The source does not establish a more precise individual autonomy claim.

Importance Major

Settles the general Erdős–Gallai cycle-decomposition conjecture with the optimal linear order of growth.

Limitations

The theorem asserts existence of an absolute constant, not its optimal value. The manuscript and Lean theorem are OpenAI-authored reports; the repository review status is unchecked and no named human explanation or independent proof review is documented.

Technical verification Formal (Lean 4)

The pinned repository note states that its Lean theorem covers the selected statement, with a named Comparator theorem and source file. This is source-reported machine checking; repository review is unchecked and no independent run is recorded here.

Formal checking

The pinned scope note identifies a Lean proof of the selected statement and links the comparator theorem.

Checker
OpenAI-reported Lean 4 / Comparator
Scope
For some absolute constant C, every finite simple undirected graph on n vertices has an edge partition into at most Cn simple cycles and single edges.
Basis
Reported by the linked checker
Evidence source

Checking a formal statement does not establish that it matches the original problem.

Human understanding Few

Few is the default when evidence for a higher level is insufficient. The manuscript explains the proof, but OpenAI is its credited author and no named human reconstruction of the central argument is documented. Few is the evidence default, not a finding that people cannot understand it.

Correction and publication history

2026-10-18 · publication

Primary manuscript, prior-work and pinned formalization review of one OpenAI-authored contribution; historical non-notifying inclusion.

Read this published revision