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The weak pinned Erdős distance conjecture: some point determines n^(1-o(1)) distinct distances (Erdős Problem 604, first part)

Theorem 1.1: for every fixed s>0s>0, Fn(s)→0F_n(s)\to0, where Fn(s)F_n(s) is the largest fraction, over nn-point planar sets, of ordered distinct pairs (x,y)(x,y) such that at least nsn^s points of the set lie at distance ∥y−x∥\|y-x\| from xx. Corollary 1.2: for every fixed ε>0\varepsilon>0 the fraction of pins with fewer than n1−εn^{1-\varepsilon} distinct distances tends to 00 uniformly, so every large set has such a pin, and in fact all but o(n)o(n) points are. No explicit rate is given. Not shown: the stronger form ≫n/log⁡n\gg n/\sqrt{\log n} in Erdős's question, the averaged conjecture ∑x∣Dx∣≫n2/log⁡n\sum_x|D_x|\gg n^2/\sqrt{\log n}, or any quantitative form of the no(1)n^{o(1)} loss.

Exact FrontierDelta

Prior state unknown→proved

Scope and record

Occurred: Sep 23, 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 weak pinned Erdős distance conjecture: some point determines n^(1-o(1)) distinct distances (Erdős Problem 604, first part) · Problem 604 · Weak pinned Erdos distance conjecture

Confidence: Not scored

Registry verification: lean checked · announcement · candidate

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Attribution

VibeMathed
registry · event recorded by

Unreleased internal OpenAI model
model · ai model contributor · OpenAI

Artifacts and verifiers

Lean proof: OAI/Geometry/PinnedDistances/Main.lean

lean artifact · pending

Artifact ↗
Lean statement: ComparatorChallenges/PinnedDistances.lean

lean artifact · pending

Artifact ↗

Compute record

No linked compute attempts recorded.

Lineage and corrections

The weak pinned Erdős distance conjecture: some point determines n^(1-o(1)) distinct distances (Erdős Problem 604, first part) evidence for this event

Companion manuscript: A power saving for planar unit distances evidence for this event

The weak pinned Erdős distance conjecture: some point determines n^(1-o(1)) distinct distances (Erdős Problem 604, first part) parent of this event

This event attributed to Unreleased internal OpenAI model

Lean statement: ComparatorChallenges/PinnedDistances.lean evidence for this event

Erdős, Some unsolved problems (1957), Problem 16 evidence for this event

Lean proof: OAI/Geometry/PinnedDistances/Main.lean evidence for this event

Theorem 1.1: for every fixed s>0s>0, Fn(s)→0F_n(s)\to0, where Fn(s)F_n(s) is the largest fraction, over nn-point planar sets, of ordered distinct pairs (x,y)(x,y) such that at least nsn^s points of the set lie at distance ∥y−x∥\|y-x\| from xx. Corollary 1.2: for every fixed ε>0\varepsilon>0 the fraction of pins with fewer than n1−εn^{1-\varepsilon} distinct distances tends to 00 uniformly, so every large set has such a pin, and in fact all but o(n)o(n) points are. No explicit rate is given. Not shown: the stronger form ≫n/log⁡n\gg n/\sqrt{\log n} in Erdős's question, the averaged conjecture ∑x∣Dx∣≫n2/log⁡n\sum_x|D_x|\gg n^2/\sqrt{\log n}, or any quantitative form of the no(1)n^{o(1)} loss. parent of this event

Erdős Problem 604 (erdosproblems.com) evidence for this event

VibeMathed record: The weak pinned Erdős distance conjecture: some point determines n^(1-o(1)) distinct distances (Erdős Problem 604, first part) evidence for this event

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