Erdős Problem a Daythe open tracker

Erdős Problem #90
unit distance problem

DISPROVED LEANdatabase updated 2026-06-07

The statement as posed is false. A solution has also been checked by machine, in Lean.

What the community database records, not our verdict. erdosproblems.com no longer shows statuses (why).

The set of all possible numbers of unit distances for a configuration of \(n\) points.

The **maximum number of unit distances** determined by any set of \(n\) points in the plane. This function is often denoted as \(u(n)\) in combinatorics.

Does every set of \(n\) distinct points in \(\mathbb{R}^2\) contain at most \(n^{1+O(\frac{1}{\log\log n})}\) many pairs which are distance \(1\) apart? This was [disproved](https://cdn.openai.com/pdf/74c24085-19b0-4534-9c90-465b8e29ad73/unit-distance-proof.pdf) by an internal model at OpenAI, which constructed (for infinitely many \(n\)) a set \(P\) of \(n\) points in \(\mathbb{R}^2\) such that the number of unit distance pairs in \(P\) is at least \(n^{1+c}\), where \(c > 0\) is an absolute constant.
Statement as formalized in Formal Conjectures (Google DeepMind, Apache-2.0) · their label: research solved · 4 further variants / known partial results in the Lean file. The authoritative wording is on erdosproblems.com/90.
Newer public claim (6 Oct 2026): OpenAI's internal-model release claims, for this problem, n points determine O(n^(4/3−c)) unit distances (c not made explicit; the 40-file Lean proof is in the repo but absent from its own catalogue; refereed here 14 Oct; kernel-replayed on our machine 14 Oct — standard axioms, statement matched, leanchecker pending — see /day/90-openai-unit-distance-power-saving-refereed) — family 167 at github.com/openai/math, Lean-formalized. Bloom calls these claims, not endorsements; anything on this page that says the question is open was written before that release and has not re-checked it.
Prize$500
Topicsgeometry, distances
Statement in LeanFormal Conjectures
Solution in Leanyes
OEISA186705
Original pageerdosproblems.com/90
FULL WRITE-UP BY THIS SITE · OCT 14, 2026

Read our full write-up →

The unit distance problem: Erdős's n^{1+o(1)} conjecture was disproved by an OpenAI construction in May; the upper bound has been n^{4/3} since 1984, and the page explains why — Valtr's metric attains it, so any improvement must use the Euclidean circle. OpenAI's 23 September preprint claims u(n) = O(n^{4/3−δ}) by complexifying the circle into the hyperbola zw = 1, so unit edges have reciprocal jumps whose heights across the places of a number field cannot stay bounded (a 3-neighbour determinant) and cannot vary either (entropy prediction, a product-formula score budget, and a Kummer-theory obstruction in an ultraproduct). Nine tool-equipped seats found no gap; two exposition defects named. A 40-file Lean proof is in the release, absent from its own catalogue; our kernel replay is green (standard axioms, statement matched to the challenge; leanchecker --fresh green over the whole closure). #90 stays disproved; the exponent now sits between 1.036 and, if this holds, 4/3 − δ.

LIVE