Skip to content
FR · Français
Get started

Heilbronn problem for convex regions, 14 points: lower bound on the minimum triangle area

0.0278355805≤ value ≤no upper bound trackedlower boundupper bound

Lower bound: the records, digit by digit

  1. Apr 2, 2026≈ 0.027835580+3.2×10−5%by Together AI
  2. Nov 2025≈ 0.027835571first recordby AlphaEvolve V2

Coloured and underlined: the digits that changed since the previous record. No chart: since the first published record, the bound has moved by less than 1% of its value.

FollowReport

Cite this frontier

DiscoverIA. Heilbronn problem for convex regions, 14 points: lower bound on the minimum triangle area [Frontier, checked on Oct 12, 2026]. DiscoverIA registry. https://discoveria.ai/en/frontieres/einsteinarena-heilbronn-convex-n14/

Only the lower bound is tracked. The lower bound has moved once since 2025, on Apr 2, 2026.

The largest value, over 14 points in the plane, of the minimum area of the triangles they form divided by the area of their convex hull. A given placement is a lower bound; larger is better.

A single n (14); floating-point computation (gain of 9e-9 over the previous value). Problem absent from the online API on 2026-10-12: no leaderboard to compare; values come from the new-SOTA repository README only (no licence), absent from the arXiv 2606.10402 paper.

Every step, as a table : Lower bound (2 points)

Largest known value: prior record (AlphaEvolve V2) and new-SOTA repository record (April 2026).

Points : Lower bound
DateExact valueNatureAuthorsSource
Apr 2, 20260.0278355805 Current recordpublishedTogether AIgithub.com
Nov 20250.0278355715 Current recordpublishedGeorgiev, Gómez-Serrano, Tao, Wagner (AlphaEvolve V2)arxiv.org
EinsteinArena problems (16)

Report an error or suggest a source

How DiscoverIA uses your address and how to exercise your rights: privacy policy.

Bot check not configured.