MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback

MathLedger introduces a verifiable learning substrate combining formal verification, cryptographic attestation, and learning dynamics to address AI transparency and trust concerns. It implements Reflexive Formal Learning, where system updates are driven by verification outcomes rather than statistical loss functions. Phase I experiments validate measurement and governance infrastructure, confirming fail-closed safety mechanisms function correctly.