Golden Dome Latency Governance: Autonomous Operations Model Extended to Boost-Phase Intercept Timelines

Bilar, Daniyel Yaacov · 2026-10-13 · publication/technicalnote · cc-by-4.0

Version of record (canonical): https://doi.org/10.5281/zenodo.23334956
Concept DOI (always latest PDF): https://doi.org/10.5281/zenodo.19368681
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Abstract

This technical position paper extends the Autonomous Operations Model (AOM) to Golden Dome boost-phase and terminal-phase hypersonic glide vehicle (HGV) intercept timelines. It makes three contributions. First, it quantifies the combined propagation-delay and ground-station-availability argument that closes human-in-the-loop (HITL) control for HGV terminal intercept: GEO relay adds 474 ms round-trip, and direct downlink is available only ~8% of the orbit. Second, it specifies a dual-axis latency-aware tier matrix and a unified 7-check Gating Check Matrix executable in under 5 ms on rad-tolerant edge hardware, combining operational checks (schema, MIO hash, physics envelope, staleness, geo-fence) with an adversarial-robustness layer (cross-modal Mahalanobis consistency, temporal coherence filtering, chaotic-quantized PINN seeded by a physically uncloneable hardware entropy source). Third, it specifies a Hub-Tier Model Swap Protocol for surviving political or legal severance of any single foundation-model provider. Under the parametric per-check models, combined detection is approximately 99% against a nation-state adversary (s=0.74) and approximately 89% against a nation-state with calibration access (s=1.0). With the PINN zeroed out, detection drops to approximately 62% at s=1.0. All quantitative thresholds are proposed engineering defaults requiring Phase GD-0 hardware characterization before operational use. Version 8.2 (October 2026) replaces the scipy-solver-sensitive Lorenz entropy tape with a version-stable AR(1) PRNG tape, recalibrates check-3b FP32 score 0.7 to 1.25, and pins the companion suite environment. Architecture, thresholds, and detection outcome are unchanged.

Keywords

hypersonic glide vehicle · Golden Dome · Anduril · LatticeOS · latency governance · human-in-the-loop · kill chain · physics-informed neural network · edge autonomy · Monte Carlo · quantization · adversarial machine learning · SHIELD · PINN

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