Contrastive Learning Detects Blockchain Ponzi Schemes
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Research Paper Information:
Title: CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples
Authors: Weijia Yang et al. Publication Venue: arXiv (pre-print server)
Year: 2025
DOI: 10.48550/Arxiv.2507.16840
Link: https://dx.doi.org/10.48550/Arxiv.2507.16840
Journal Information:
Journal: arXiv
Website: http://arxiv.org/
Copyright:
© 2025 Science X Network
Citation Information (for print):
Summary: Contrastive learning framework can detect blockchain-based smart Ponzi schemes
Date Published: August 24, 2025
Date Retrieved: August 25, 2025
In essence, this information describes a research paper published on arXiv in 2025 that proposes a new method (CASPER) using contrastive learning to detect Ponzi schemes on blockchains.