Evidence-Conditioned Runtime Authority for Autonomous Systems: Reproducibility Package

Reproducibility dataset and software package supporting the manuscript “Evidence-Conditioned Runtime Authority for Autonomous Systems: Independent Recovery, AI Admission, and Command Integrity.” The archive contains the synthetic reference-case model, deterministic configuration and master seed, machine-readable physical and estimator outputs, estimator traces, a bounded exhaustive runtime-authority verifier, targeted mutation controls, cross-layer trace replay, numerical tests, and figure artwork. The reference authority abstraction evaluates evidence validity, independent recovery, AI non-self-authorisation, command integrity, provenance, and action permission. The archive contains no observational, flight, classified, controlled, personal, human-subject, or animal data. The results are analytical, synthetic/simulation, and bounded finite-state results and do not constitute flight validation, hardware validation, certification, or operational safety evidence. This work was carried out independently by the author. It was not conducted within, funded by, or supervised by any program at Georgetown University, and the University bears no responsibility for its content.