Combinatorics·OpenAI Math·Result 174·Lean formalisation listed

Deterministic construction of strong thin spanning trees

One of the 372 results in OpenAI's public mathematics catalogue, filed under combinatorics: 2 preprints, the latest dated 23 September 2026. This page quotes OpenAI's own summary of the claim, links the papers and abstracts, and embeds the animation.

In one line: OpenAI reports a result titled ‘Deterministic construction of strong thin spanning trees’ (combinatorics) in 2 preprints, the latest dated 23 September 2026. It has not been peer reviewed. The channel's animation, Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More, is on YouTube.

Compilation · 29:10 · 14 October 2026 · from 6:59Watch on YouTube →

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Chapter 21 of 84 in Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More · starts at 6:59 · watch from there on YouTube →

What OpenAI claims

Resolves the strong thin-tree conjecture constructively. Every finite loopless k-edge-connected multigraph on at least two vertices has a spanning tree containing at most a universal C/k fraction of the edges of every cut. Such a tree can be found deterministically in polynomial time, even with binary-encoded parallel-edge multiplicities. (Lean)

Papers (2)

  1. The strong thin tree conjecture

    · Preprint, not peer reviewed · PDF

    OpenAI's abstract We prove that every finite loopless k-edge-connected multigraph on at least two vertices, with k ≥ 1, has a spanning tree meeting each cut in at most C/k times the size of the cut, where C is a universal constant. This resolves the strong thin tree conjecture.

  2. A polynomial-time construction of strong thin trees

    · Preprint, not peer reviewed · PDF

    OpenAI's abstract We give a deterministic polynomial-time construction of strong thin trees. Given a finite k-edge-connected loopless multigraph on at least one vertex, the algorithm constructs a spanning tree meeting every cut in at most a C/k fraction of its edges, for a universal constant C. The running time is polynomial in the binary input length, including when parallel-edge multiplicities are encoded in binary.

Status

Preprint. The papers have not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.

Quick answers

Is it proven?
Not independently yet. OpenAI posted 2 preprints, the latest dated 23 September 2026; it has not been peer reviewed, so treat the result as OpenAI's claim until other mathematicians have checked it.
What exactly does OpenAI claim?
Resolves the strong thin-tree conjecture constructively. Every finite loopless k-edge-connected multigraph on at least two vertices has a spanning tree containing at most a universal C/k fraction of the edges of every cut. Such a tree can be found deterministically in polynomial time, even with binary-encoded parallel-edge multiplicities. (Lean)
Where is the proof?
In the paper, The strong thin tree conjecture (PDF).
Is there a video?
Yes, on YouTube (29:10, chapter 21).

Also in

The video

Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More · Compilation · 29:10 · chapter 21 from 6:59 · description, sources and chapters →

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