Certifiable DRIL for UAS

A foundational theoretical contribution that reframes AI safety as compositional engineering. The gap between mathematical guarantee and deployable UAS autonomy remains significant. Claims of OOD robustness are aspirational. Ideal for research programs and regulatory strategy; premature for production systems without addressing boundedness and coupling limitation.

Citation: Gahlawat, A., et al. (2025). Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy. arXiv:2512.17899v1.

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