ChainCatcher 消息，人大金融科技研究所发布《Journal of International Money and Finance》上稳定币研究的编译文章，相关研究基于大语言模型（LLM）智能体解析稳定币脱锚风险，其中指出稳定币脱锚具有明显的非线性和阈值特征，套利机制能够吸收一定程度的信息压力，但当叙事严重程度达到“临界阈值”后，系统可能迅速进入持续脱锚状态。
ChainCatcher 消息，人大金融科技研究所发布《Journal of International Money and Finance》上稳定币研究的编译文章，相关研究基于大语言模型（LLM）智能体解析稳定币脱锚风险，其中指出稳定币脱锚具有明显的非线性和阈值特征，套利机制能够吸收一定程度的信息压力，但当叙事严重程度达到“临界阈值”后，系统可能迅速进入持续脱锚状态。
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