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Not evaluated

Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming (family 331)

The gist

On October 6, 2026, OpenAI announced, from an unreleased internal model, seven manuscripts on “asymptotic midpoint uniform convexity” without “asymptotically uniformly convex” renorming.

DiscoverIA status on October 12, 2026: not evaluated, meaning no third-party evaluation found.

Status detailsDetails

AI draft, not reviewedWhat has not been reviewed?

Text written by an AI (DiscoverIA pipeline), on . The status and its sources come from the registry; only the explanatory text has not been reviewed. A reported error is corrected, then the text is reviewed.

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Cite this entry

A single status snapshot since Oct 12, 2026: a citation always points to a dated snapshot.

Cite snapshot 1, Oct 12, 2026

APA citation with the dated link

DiscoverIA. (2026, October 12). Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming (family 331) [Status: Not evaluated, snapshot 1]. DiscoverIA registry. https://discoveria.ai/entry/oai-fam-331-asymptotic-midpoint-uniform-convexity#releve-1

BibTeX @misc, key discoveria-oai-fam-331-asymptotic-midpoint-uniform-convexity-r1

@misc{discoveria-oai-fam-331-asymptotic-midpoint-uniform-convexity-r1,
  author       = {{DiscoverIA}},
  title        = {Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming (family 331)},
  howpublished = {DiscoverIA registry, entry oai-fam-331-asymptotic-midpoint-uniform-convexity},
  note         = {Status “Not evaluated”, snapshot 1, recorded on October 12, 2026. New result},
  year         = {2026},
  url          = {https://discoveria.ai/entry/oai-fam-331-asymptotic-midpoint-uniform-convexity#releve-1},
  urldate      = {2026-10-12}
}

Dated link opens this snapshot in the history

https://discoveria.ai/entry/oai-fam-331-asymptotic-midpoint-uniform-convexity#releve-1

To understand ≈ 30 s reading time, estimated

What it changes

If the manuscripts were correct, they would bring new results in functional analysis, the field where OpenAI's repository files this family. A renorming replaces the norm of a space (its way of measuring lengths) by an equivalent norm, one comparable to the first up to a constant factor.

What remains unclear

The Lean (a language in which a computer checks every step of a proof) was supplied by OpenAI itself and carries the mark “unchecked” in formalization.yaml; no third-party verification is recorded. The sources read do not say whether the seven Lean statements cover the seven manuscripts, nor whether those manuscripts claim the same result.

For experts

Sources, method, key facts, status history, report an error

Status

Not evaluated

Recorded on · github.com · 331.md

Step 1 of 4 on the scale: not evaluated. Next step: under review.

  1. Announced
  2. Recordednot evaluated
  3. nextTo follow
What this status means

Source reading : Source read word for word (level 3 of 3)

The result is declared neither right nor wrong.

To move to “Under review”: a public review under way. To “Peer reviewed”: a journal publication or a review by named experts.

Full history

Proofs
manuscrit : Asymptotic midpoint uniform convexity and unbounded diamond distortion in a reflexive tree space (preprints/Asymptotic-midpoint-uniform-convexity-and-unbounded-diamond-distortion-in-a-reflexive-tree-space-September-27-2026), manuscrit : Midpoint lenses in segment spaces (preprints/Midpoint-lenses-in-segment-spaces-September-27-2026), manuscrit : Distortion of countably branching diamonds from midpoint and tree energies (preprints/Diamond-distortion-from-midpoint-and-tree-energies-September-27-2026), manuscrit : Exact asymptotic moduli in a Daugavet subspace of L1 (preprints/Exact-asymptotic-moduli-in-a-Daugavet-subspace-of-L1-September-27-2026), manuscrit : Midpoint convexity from bounded tree potentials and path costs (preprints/Midpoint-convexity-from-bounded-tree-potentials-and-path-costs-September-27-2026), manuscrit : Independent products in real L1: asymptotic midpoint convexity without AUC renormings (preprints/Independent-products-in-real-L1-asymptotic-midpoint-convexity-without-AUC-renormings-September-27-2026), manuscrit : Midpoint convexity from two recursive potentials (preprints/Midpoint-convexity-from-two-recursive-potentials-September-27-2026), Lean fourni par le revendicateur : lean/docs/331.md, 7 énoncé(s) Comparator (non vérifié par un tiers)

Sources

Method

In openai/math, family 331 comprises seven manuscripts dated September 27, 2026, including “Asymptotic midpoint uniform convexity and unbounded diamond distortion in a reflexive tree space” and “Independent products in real L1: asymptotic midpoint convexity without AUC renormings”. The Lean supplied comprises lean/docs/331.md and seven Comparator files, including lean/ComparatorChallenges/DaugavetModuli.lean. For formalization.yaml: family present in the “sources”; history.md reports no revision. DiscoverIA status: not evaluated, meaning that no third-party evaluation has been found in the sources read. Set on October 12, 2026 from github.com (page read, quotation checked word for word: “describes the scope of the Lean formalization”).

Limits

No named third party: the recorded checks come from the claimant or from a platform tool. The claimant supplies a Lean proof; as of this date, DiscoverIA has found no independent verification of this proof or of the result.

Key facts

Claimed by
OpenAI (unreleased internal model)
announced on Oct 6, 2026
Nature
new result
Field
Mathematics (Functional analysis)
In openai/math
family 331, section “Functional analysis”, 7 manuscripts dated Sep 27, 2026
Lean proof
supplied by the claimant, marked “unchecked” (not reviewed) in its repository
Revisions
none reported by the claimant
Checked by
claimant (Lean supplied, not checked by a third party)
Sources
16 : 1 read word for word, 15 links only
This entry
AI draft, not reviewed

Status history

Only one observation so far.

  1. 01

    First observation:Not evaluatedCurrent status

    Family with a Lean proof supplied by the claimant. No third-party check read; the source marks this proof as not reviewed (“unchecked”).

    Source: github.comread word for word

An observation is added; none is ever erased.

In the same set

openai/math: 719 manuscripts in 372 families from an unreleased internal model · entry 325 of 372, by family number

See all 372 entries

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