SOVRINT™ Research Validation Layer: Runtime Integrity, Correction Benchmarks, and Synthetic Telemetry Evidence Package

SOVRINT™ Research Validation Layer

The SOVRINT™ Research Validation Layer is a structured evidence-bearing framework for runtime integrity modeling, correction-engine benchmarking, telemetry replay, ontology validation, and governance-state verification.

This package includes:

- synthetic telemetry datasets

- runtime validation models

- correction-engine test scenarios

- governance-state validation matrices

- replay architectures

- ontology graph validation

- benchmark reports

- reproducibility notebooks

- YAML/JSON schemas

- publication evidence standards

The release is designed as a reproducible validation infrastructure layer supporting observability-driven computational systems and integrity-centered runtime architectures.

This package should not be interpreted as a medical diagnostic platform, coercive surveillance system, or empirically validated universal scientific theory.

Author:

Katrina Pietroniro™

Project:

Ontological Computation™ — Integrity-Based Computational Correction

DOI:

10.5281/zenodo.20278720