Digital Payments

A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts ArXiv ID: 2508.21075 “View on arXiv” Authors: Zijia Meng, Victor Feng Abstract Digital payments play a pivotal role in the burgeoning digital economy. Moving forward, the enhancement of digital payment systems necessitates programmability, going beyond just efficiency and convenience, to meet the evolving needs and complexities. Smart contract platforms like Central Bank Digital Currency (CBDC) networks and blockchains support programmable digital payments. However, the prevailing paradigm of programming payment logics involves coding smart contracts with programming languages, leading to high costs and significant security challenges. A novel and versatile method for payment programming on DLTs was presented in this paper - transforming digital currencies into token streams, then pipelining smart contracts to authorize, aggregate, lock, direct, and dispatch these streams efficiently from source to target accounts. By utilizing a small set of configurable templates, a few specialized smart contracts could be generated, and support most of payment logics through configuring and composing them. This approach could substantially reduce the cost of payment programming and enhance security, self-enforcement, adaptability, and controllability, thus hold the potential to become an essential component in the infrastructure of digital economy. ...

Decoding Alipay: Mobile Payments, a Cashless Society and Regulatory Challenges ArXiv ID: ssrn-3103751 “View on arXiv” Authors: Unknown Abstract The financial industry has witnessed the so-called “fintech revolution” in recent years. Due to the emergence of information technologies such as cloud computin Keywords: Fintech, Blockchain, Digital Payments, Regulatory Technology (RegTech), Financial Services Complexity vs Empirical Score Math Complexity: 0.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is descriptive and legal/policy-oriented with no mathematical modeling, empirical formulas, or backtesting data, focusing instead on industry analysis and regulatory commentary. flowchart TD A["Research Goal: <br>How does Alipay drive <br>a cashless society?"] --> B{"Methodology"} B --> C["Data Collection"] B --> D["Regulatory Analysis"] C --> E["Computation: <br>Market Adoption & Usage"] D --> E E --> F["Key Findings"] F --> G["FinTech Innovation"] F --> H["Regulatory Challenges"] F --> I["Future of Cashless Society"] subgraph Inputs C D end subgraph Outcomes G H I end