ASE-SDK v1.1.1 — Reference Validation Release

This release marks the first complete and validated public version of ASE-SDK. ASE-SDK implements the Admissible Step Engine (ASE): a deterministic, stateless safety layer that gates proposed state-update steps (ΔS) such that the resulting next state remains within a formally defined admissible domain. What ASE-SDK is A generic safety envelope over state-update dynamics Applicable to control loops, optimization pipelines, and learning systems Deterministic, fail-closed, and explicitly bounded by construction What ASE-SDK is not Not an optimizer Not a learning algorithm Not a controller or policy Validation scope This release includes executable validation evidence demonstrating the use of ASE as a safety envelope for ML-style training loops: Parameter-level envelopes (θ) Extended training-state envelopes (θ + EMA + step) Full optimizer-state envelopes (θ + m + v + EMA + step, Adam-like) In all cases, admissibility is enforced on the next system state, rather than on raw gradients or internal optimizer signals. Reproducibility All validation results are reproducible via deterministic builds and test runs. Internal simulations are provided for validation purposes and are not part of the public API. Documentation README.md — API contract, design intent, and integration boundaries VALIDATION.md — executable validation evidence and test references