SpiralGuard: characterizing and predicting death spiral risks in algorithmic stablecoins

Minrui WU; Jiang XIAO; Haoyu WANG; Xiaohai DAI

doi:10.1007/s11704-025-50577-9

Front. Comput. Sci. ›› 2027, Vol. 21 ›› Issue (4) :2104806 DOI: 10.1007/s11704-025-50577-9

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SpiralGuard: characterizing and predicting death spiral risks in algorithmic stablecoins

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Minrui WU, Jiang XIAO, Haoyu WANG, Xiaohai DAI. SpiralGuard: characterizing and predicting death spiral risks in algorithmic stablecoins. Front. Comput. Sci., 2027, 21(4): 2104806 DOI:10.1007/s11704-025-50577-9

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References

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[1]	He N, Wang H, Wu L, Luo X, Guo Y, Chen X . A survey on EOSIO systems security: vulnerability, attack, and mitigation. Frontiers of Computer Science, 2025, 19( 6): 196806

[2]	Jie W, Qiu W, Yang H, Guo M, Huang X, Lei T, Zhang Q, Zheng H, Zheng Z . Agent4Vul: multimodal LLM agents for smart contract vulnerability detection. Science China Information Sciences, 2025, 68( 6): 160101

[3]	Guan M Y, Yu Y, Sharma T, Huang M Z, Qin K, Wang Y, Wang K Y. Security perceptions of users in stablecoins: advantages and risks within the cryptocurrency ecosystem. In: Proceedings of 2025 IEEE Symposium on Security and Privacy. 2025, 2753–2771

[4]	Pernice I G A. On stablecoin price processes and arbitrage. In: Proceedings of International Conference on Financial Cryptography and Data Security. 2021, 124–135

[5]	Sood K, Singh S, Behl A, Sindhwani R, Kaur S, Pereira V . Identification and prioritization of the risks in the mass adoption of artificial intelligence-driven stable coins: the quest for optimal resource utilization. Resources Policy, 2023, 81: 103235