System and Method for Reinforcement Learning Based Token Minting and Cross Chain Cryptographic Anchoring

This archive serves as the complete technical companion to U.S. Patent Application No. 19/693,343, documenting the full research corpus, prototypes, mathematical foundations, and multi‑rail settlement architectures underlying the invention. It consolidates every subsystem, embodiment, and reduction‑to‑practice artifact developed during the creation of the deterministic settlement rail, including materials not contained in the formal USPTO filing. This upload includes: Deterministic Settlement Rail Architecture spanning XRP Ledger, Stellar, Bitcoin UTXO systems, CBDC platforms, RTGS infrastructures, private ledgers, and multi‑rail orchestration layers. Kolmogorov–Shannon computational models, reversible hashing structures, and canonical replay engines. ISO 20022 alignment, identity anchoring schemas, compliance‑embedded metadata, and cross‑border auditability frameworks. Sequential Ordinal Targeting (SOT), canonical settlement identifiers, and deterministic replay metadata structures. AI‑assisted optimization engines, liquidity routing logic, FX orchestration flows, and multi‑party atomic settlement mechanisms. Hardware‑secured settlement modules, offline‑capable flows, ZK‑privacy embodiments, and multi‑institution governance frameworks. Videos, diagrams, prototypes, pseudocode, and reduction‑to‑practice demonstrations showing the system operating across heterogeneous financial rails.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20466514
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

System and Method for Reinforcement Learning Based Token Minting and Cross Chain Cryptographic Anchoring

Benjamin Lawrence Eckenfels, Leon Calvin II long
Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

System and Method for Reinforcement Learning Based Token Minting and Cross Chain Cryptographic Anchoring

Benjamin Lawrence Eckenfels, Leon Calvin II long
article en

Abstract

This archive serves as the complete technical companion to U.S. Patent Application No. 19/693,343, documenting the full research corpus, prototypes, mathematical foundations, and multi‑rail settlement architectures underlying the invention. It consolidates every subsystem, embodiment, and reduction‑to‑practice artifact developed during the creation of the deterministic settlement rail, including materials not contained in the formal USPTO filing. This upload includes: Deterministic Settlement Rail Architecture spanning XRP Ledger, Stellar, Bitcoin UTXO systems, CBDC platforms, RTGS infrastructures, private ledgers, and multi‑rail orchestration layers. Kolmogorov–Shannon computational models, reversible hashing structures, and canonical replay engines. ISO 20022 alignment, identity anchoring schemas, compliance‑embedded metadata, and cross‑border auditability frameworks. Sequential Ordinal Targeting (SOT), canonical settlement identifiers, and deterministic replay metadata structures. AI‑assisted optimization engines, liquidity routing logic, FX orchestration flows, and multi‑party atomic settlement mechanisms. Hardware‑secured settlement modules, offline‑capable flows, ZK‑privacy embodiments, and multi‑institution governance frameworks. Videos, diagrams, prototypes, pseudocode, and reduction‑to‑practice demonstrations showing the system operating across heterogeneous financial rails.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.