U.S. Patent Application No.: 19/693,343

Abstract

System and Method for Reinforcement Learning‑Based Token Minting and Cross‑Chain Cryptographic Anchoring This archive contains the full non‑provisional patent submission for a unified digital‑asset lifecycle system integrating reinforcement‑learning‑based token minting, Merkle‑structured ledgering, and synchronized cross‑chain cryptographic anchoring. The invention establishes a deterministic, mathematically governed framework for creating, operating, and verifying digital asset states across heterogeneous blockchain networks including Bitcoin, Ethereum, and Solana. The system introduces a blueprint‑based binding mechanism, a formal kernel governed by a unified state equation, and a sovereign ledger enabling long‑term provenance and deterministic replay. A reversible 32‑byte commitment value is computed using a Sponge‑586 invariant and anchored to Bitcoin via Taproot tweaks and OP_RETURN payloads. Parallel anchoring events emit the authenticated Merkle Mountain Range (MMR) root on Ethereum and Solana, producing tamper‑evident, multi‑consensus proofs of state. A reinforcement‑learning engine dynamically adjusts minting rates based on real‑time market conditions, behavioral metrics, and system‑level variables. The system further supports gasless user interactions (EIP‑2771), zero‑knowledge compliance pathways, federated‑learning simulations, and deterministic state reconstruction through Kolmogorov integrity scoring and synthesis restoration. This archive includes the complete specification, mathematical formulations, alternative embodiments, and references to supporting research hosted on Zenodo. It documents the developmental lineage, reduction‑to‑practice demonstrations, and cross‑chain anchoring methodology associated with U.S. Patent Application No. 19/693,343.