lean artifact · pending
Artifact ↗The Gaussian moat problem
Theorem 1.1: for every real there is a finite such that every connected component of the graph on Gaussian primes with edges of length at most has at most vertices, independent of the starting prime and including primes on the axes; so every walk through distinct Gaussian primes with steps at most has at most terms. The proof finds, for each , a finite set of split primes whose joint sieve leaves a periodic set with no infinite bounded-step walk, using geometric sampling and entropy estimates. is nonexplicit, so no numerical moat width is given for any particular .
Exact FrontierDelta
Scope and record
Occurred: Sep 26, 2026
Delta type: SOURCE CLAIM
Assumptions: VibeMathed verification: lean-checked. Publication: announcement. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.
Canonical aliases: The Gaussian moat problem · Gaussian moat problem
Confidence: Not scored
Registry verification: lean checked · announcement · candidate
Attribution
VibeMathed
registry · event recorded by
Unreleased internal OpenAI model
model · ai model contributor · OpenAI
Artifacts and verifiers
Compute record
No linked compute attempts recorded.
Lineage and corrections
The Gaussian moat problem parent of this event
This event attributed to Unreleased internal OpenAI model
The Gaussian moat problem evidence for this event
Lean: OAI/NumberTheory/GaussianMoat/Main.lean (fullMain) evidence for this event
Theorem 1.1: for every real there is a finite such that every connected component of the graph on Gaussian primes with edges of length at most has at most vertices, independent of the starting prime and including primes on the axes; so every walk through distinct Gaussian primes with steps at most has at most terms. The proof finds, for each , a finite set of split primes whose joint sieve leaves a periodic set with no infinite bounded-step walk, using geometric sampling and entropy estimates. is nonexplicit, so no numerical moat width is given for any particular . parent of this event
VibeMathed record: The Gaussian moat problem evidence for this event
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