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Problem packetResearch packetR1642

R1642Sourced evidence

Current status and exact unresolved remainder

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Authored summary

OPEN as checked on 2026-08-01. Strongest checked neighboring result: The current located upper bound is ω<2.371339 and the trivial information-size lower bound is 2. Exact unresolved remainder: Closing any positive part of the gap between 2 and 2.371339 remains open.

The record cites sources for its explanation.

Recorded status: reported

Recorded scope: No scope is recorded.

Originating problem: Does the matrix-multiplication exponent equal two?

Authored record and scope
Authored title
Current status and exact unresolved remainder
Record type
claim
Stored status
reported
Evidence grade
sourced

2Authored explanation

The problem was checked as open on 2026-08-01.

The strongest neighboring result found in the cited sources is: The current located upper bound is ω<2.371339 and the trivial information-size lower bound is 2.

The exact unresolved remainder is: Closing any positive part of the gap between 2 and 2.371339 remains open.

A complete resolution must meet the following acceptance conditions: - Give algorithms proving ω≤2+ε for every ε>0. - Or prove a lower bound ω≥2+δ for some fixed δ>0.

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Replay material: source only

3Evidence

Replay package: source only

A verification source is cited. This record has no executable replay attached.

Verification source: doi.org ↗, J. Alman, R. Duan, V. Vassilevska Williams, Y. Xu, Z. Xu, and R. Zhou, “More Asymmetry Yields Faster Matrix Multiplication,” Proceedings of SODA 2025, 2005–2039. abstract and square-matrix exponent theorem

4What was measured

5How it connects

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Machine-readable record

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  "title": "Current status and exact unresolved remainder",
  "summary": "OPEN as checked on 2026-08-01. Strongest checked neighboring result: The current located upper bound is ω<2.371339 and the trivial information-size lower bound is 2. Exact unresolved remainder: Closing any positive part of the gap between 2 and 2.371339 remains open.",
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    "locator": "J. Alman, R. Duan, V. Vassilevska Williams, Y. Xu, Z. Xu, and R. Zhou, “More Asymmetry Yields Faster Matrix Multiplication,” Proceedings of SODA 2025, 2005–2039. abstract and square-matrix exponent theorem"
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7Provenance

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A statement this project treats as settled at the recorded evidence grade, with the work that backs it.

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