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