Beshane, N. K. S. (2026). RuntimeGuard-AI: Scalable Tamper-Evident Accountability for High-Risk AI Systems Under the EU AI Act. Journal of Computational Analysis & Applications, 35(1), 1074. https://doi.org/10.48047/jocaaa.2026.35.01.87
Chicago Style (17th ed.) CitationBeshane, Neeraj Kumar Singh. "RuntimeGuard-AI: Scalable Tamper-Evident Accountability for High-Risk AI Systems Under the EU AI Act." Journal of Computational Analysis & Applications 35, no. 1 (2026): 1074. https://doi.org/10.48047/jocaaa.2026.35.01.87.
MLA (9th ed.) CitationBeshane, Neeraj Kumar Singh. "RuntimeGuard-AI: Scalable Tamper-Evident Accountability for High-Risk AI Systems Under the EU AI Act." Journal of Computational Analysis & Applications, vol. 35, no. 1, 2026, p. 1074, https://doi.org/10.48047/jocaaa.2026.35.01.87.