VibeMathedMath problems solved by AI

Stable Phase Retrieval for Spans of Independent Random Variables

After L2L^2 normalization, stable phase retrieval holds over the L2L^2-spans of independent real-valued centered random variables exactly when all but possibly one coordinate satisfies a uniform two-sided L1L^1 bound. This confirms the characterization conjectured by Calderbank, Daubechies, Freeman and Freeman.

Result
Proved
Status
Resolved
AI contribution
AI co-developed
Method
Argument
Field
Functional Analysis, Phase Retrieval
Posed by
Calderbank, Daubechies, Freeman and Freeman
Year posed
Years open
Solved
2026-07-07
Model
GPT-5 + Claude Opus 4
Vendor
Collaborators
Pedro Abdalla, Jaume de Dios Pont, João P. G. Ramos, Mitchell A. Taylor
Verification
Unreviewed
Publication
Preprint
Significance
15 / 100
Disclosed cost
Wikipedia
No dedicated article

What the AI did

Under a heading on the usage of large language models, the authors say the models played a significant role in the development of the work, describing arguments proposed by the authors and then found by GPT-5, with Claude Opus 4 also used.

Verification

No independent review. The disclosure describes a back-and-forth in which the model supplied arguments the authors had proposed in outline. Preprint, not refereed.

Source

arXiv

Discussion