The kernel ships in the deep_causality_physics crate. The companion runnable example is published in the chronometric_examples directory of the same repository.
The working example
The example recovers Earth's gravitational parameter from one week of Galileo satellite clock data. The only physics input is time-dilation differences between satellites at different altitudes. The example showcases functional composition via the Effect Propagation Process, applied to chronometric GM recovery — the same inversion described on the dynamic chronometry research page, now available as a runnable example in the DeepCausality repository.
Provenance and governance
Insights developed at the Center, once verified, are contributed back to the DeepCausality project under the open governance of the Linux Foundation for Data & AI. The chronometric kernel is the first such contribution to land in the physics crate; further donations from the dynamic-chronometry research area are planned as the work continues.