In the rapidly evolving field of crypto-assets, white papers are essential documents for investor guidance, and are now subject to unprecedented content requirements under the EU's Markets in Crypto-Assets Regulation (MiCAR). Natural Language Processing can serve as a powerful tool for both analyzing these documents and assisting in regulatory compliance. This paper delivers two contributions to the topic. First, we survey existing applications of textual analysis to unregulated crypto-asset white papers, uncovering a research gap that could be bridged with interdisciplinary collaboration. We then conduct an analysis of the changes introduced by MiCAR, highlighting the opportunities and challenges of integrating NLP within the new regulatory framework. Our findings set the stage for further research, with the potential to benefit regulators, crypto-asset issuers, and investors.

翻译：在快速发展的加密资产领域中，白皮书是指导投资者的关键文件，目前根据欧盟《加密资产市场监管条例》（MiCAR）面临前所未有的内容要求。自然语言处理可作为分析这些文件及协助合规监管的有力工具。本文对此主题做出两项贡献：首先，我们系统梳理了现有文本分析在未受监管的加密资产白皮书中的应用，发现了一个可通过跨学科合作弥合的研究空白。随后，我们分析了MiCAR引入的变革，强调了在新的监管框架内整合自然语言处理的机遇与挑战。我们的研究结论为进一步研究奠定了基础，有望使监管机构、加密资产发行方及投资者共同受益。