A modern mathematical library

Conjectures, kept open to scrutiny.

Explore open, AI-resilient conjectures suggested by patterns in the LMFDB and robust under extensive numerical testing—problems selected for their mathematical depth and potential consequences in number theory.

Each paper is an invitation to investigate—not a claim of proof, novelty, or truth.

Reading the collection

Evidence and uncertainty belong together.

Every paper keeps its proposed statement close to the evidence, mathematical context, and unresolved analytic or arithmetic gap.

  1. Read the statement

    Each claim names its objects, hypotheses, and predicted relation as precisely as the source record allows.

  2. Inspect the evidence

    Numerical tables and finite checks are reproduced from the paper with their scope and limitations; they are evidence, not proof.

  3. Follow the open gap

    Read the complete discussion of known results, proof strategies, obstructions, what would still need to be established, and the consequences these conjectures could have in number theory.

Curious about the pipeline? The methodology page explains every status and verification label used in the library.

How assessment works