MAV-MCC Canonical Public Orientation Note v1.0-R1: Canonical Source Priority, AI-Assisted Workflow Disclosure, and Public Anti-Drift Guidance for MAV-MCC 4T+4S

This public orientation note defines the canonical source hierarchy and terminology boundaries for the MAV-MCC 4T+4S research program by Gianni De Franco. The document is designed to prevent canonical drift caused by search snippets, social media previews, fragmented public indexing, third-party comments and AI-generated summaries. It clarifies that public indexing confirms discoverability, but does not define the official state of the theory. Version v1.0-R1 integrates pre-publication adversarial corrections on terminology evolution, Reduced Register arithmetic, Hamiltonian status, AVI lineage, Base Madre clarification, licensing, source hierarchy and AI citation behavior. It also discloses the human-led, AI-assisted development workflow and explains the rapid release cadence as a controlled process governed by MCC PRO, a source-discipline and hallucination-acceptance-risk reduction framework developed by Gianni De Franco. This note is not an empirical validation of MAV-MCC and does not make theorem-level claims. It is a public canonical orientation and anti-overclaim document. No private R3 runtime, proprietary prompts, implementation code or restricted MCC PRO operational material are included.