Problem detail · source-aware
VibeMathed reports this item as resolved. VibeMath preserves that report as a source assertion and has not independently authored a plain-language mathematical explanation.
Statement not supplied by the source.
The source statement is missing. Retrieve the primary mathematical statement before domain-expert or mechanical review. VibeMath has not independently audited statement fidelity, correctness, priority, or novelty.
Astra developed several techniques in a previous work we did together. I asked it to find problems where the techniques could be of use, it chose the constant, proved it was disjunctive in base 2, proved it was nonnormal in base 2, then generalized the result.
Provider: OpenAI · Prompt public: unknown · Independence: unknown
Full Lean verification is here: https://github.com/CaptainSude/reciprocal-Fermat-constant-Nonnormal/releases/tag/v1.0.0
Correctness: supported · statement fidelity: unaudited · peer review: none
The paper proves that the reciprocal Fermat constant is disjunctive but nonnormal in binary, explicitly locates every finite word, and establishes positive lower word frequencies. It extends these properties to a broad family of arithmetic series. Behavior in unrelated bases remains open.
Source-reported tools: argument.
Independent: unknown · difference confidence: 0
The source did not supply a mathematical statement; retrieve it before replay or verification. VibeMath has not independently audited the mathematical statement, proof, or novelty claim.