Changelog

Improved the public documentation path across the README, project overview, onboarding, and API overview; reframed the applications and market context around control iteration, validation packaging, and acceptance evidence; refreshed the generated capability snapshot. Capability inventory: 277 Python modules, 547 classes, 13 Rust crates, 425 test files.

Native same-case profile-source metrics, finite signed-q sanity, and machine-readable strict threshold checks for free-boundary equilibrium; whole-plant fault-tolerant scenario campaign (10/10 reduced-order lanes); fail-closed acceptance benchmarks for native nonlinear GK, runaway electrons, and impurity transport.

QLKNN-10D data acquisition and conversion pipeline (QuaLiKiz flux database to training tensors); neural transport surrogate (test rel_L2 = 0.094) and FNO turbulence surrogate (val rel_L2 = 0.055).