lean artifact · pending
Artifact ↗Naor's sublinear-dimension question for finite subsets of Lp, 1 < p < infinity, p not 2
Theorem 1.1: for fixed , , and , every -point subset of any embeds with distortion into (same exponent, coordinate target, nonlinear map) with , where for and for ; exact embeddings need dimension of order . This answers the question for every . Not shown: ; Naor's Question 13 itself ( dimension in some normed space), which Naor-Ren's 2026 lower bound already excludes for targets when ; optimal exponents; an efficient algorithm.
Exact FrontierDelta
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: Naor's sublinear-dimension question for finite subsets of Lp, 1 < p < infinity, p not 2 · Sublinear dimension reduction in Lp
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
lean artifact · pending
Artifact ↗Compute record
No linked compute attempts recorded.
Lineage and corrections
VibeMathed record: Naor's sublinear-dimension question for finite subsets of Lp, 1 < p < infinity, p not 2 evidence for this event
Naor's sublinear-dimension question for finite subsets of Lp, 1 < p < infinity, p not 2 evidence for this event
This event attributed to Unreleased internal OpenAI model
Lean proof (OAI.SubpolynomialLp.source_main) evidence for this event
Comparator statement: SubpolynomialLp.lean evidence for this event
Naor, Metric dimension reduction: a snapshot of the Ribe program (arXiv) evidence for this event
Theorem 1.1: for fixed , , and , every -point subset of any embeds with distortion into (same exponent, coordinate target, nonlinear map) with , where for and for ; exact embeddings need dimension of order . This answers the question for every . Not shown: ; Naor's Question 13 itself ( dimension in some normed space), which Naor-Ren's 2026 lower bound already excludes for targets when ; optimal exponents; an efficient algorithm. parent of this event
Naor's sublinear-dimension question for finite subsets of Lp, 1 < p < infinity, p not 2 parent of this event
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