Predicting Diagonalizability of a Mean Matrix
The general principle is the interesting part: every semialgebraic property of a bounded fixed-dimensional mean parameter is eventually almost surely predictable. Against merely integrable matrix laws it fails from dimension two.
Exact FrontierDelta
Scope and record
Occurred: Oct 29, 2026
Delta type: REGISTRY REVISION
Assumptions: VibeMathed verification: unreviewed. Publication: preprint. 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: Predicting Diagonalizability of a Mean Matrix · Diagonalizability prediction
Confidence: Not scored
Registry verification: unreviewed · preprint · resolved
Attribution
VibeMathed
registry · event recorded by
GPT-5.6 Sol Ultra
model · ai model contributor · OpenAI
Jinze Zhao
human · human collaborator
Lineage and corrections
Corrects Predicting Diagonalizability of a Mean Matrix →
Supersedes Predicting Diagonalizability of a Mean Matrix →
Predicting Diagonalizability of a Mean Matrix parent of this event
Predicting Diagonalizability of a Mean Matrix evidence for this event
This event attributed to Jinze Zhao
VibeMathed record: Predicting Diagonalizability of a Mean Matrix evidence for this event
The general principle is the interesting part: every semialgebraic property of a bounded fixed-dimensional mean parameter is eventually almost surely predictable. Against merely integrable matrix laws it fails from dimension two. parent of this event
This event attributed to GPT-5.6 Sol Ultra
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