Symbiotic Codes Framework: Extended Documentation Package v1.0

The Symbiotic Codes Framework (SCF) is a formal model of post-control transition dynamics in human–AGI systems. This package contains four documents constituting the canonical, mathematical, strategic, and operational layers of the framework.

**1. SCF Canonical v1.0** — Theoretical core. Defines the post-control transition model on four structural assumptions: autonomous adaptation, nonlinear coupling, bounded human control, and multiple stability regions. Introduces the topology of transition risk, asymmetry amplification mechanism, and ICS (Index of Cognitive Sovereignty) as a proximity indicator to critical regions. Addressed to researchers, strategists, and technology leaders.

**2. SCF Formal Expansion & Stability Analysis v2.0** — Mathematical layer. Resolves three formal conflicts from v1.0: gradient-asymmetry conflict (Helmholtz decomposition into V_s + R(x)), collapse formalization (Fiedler value λ₂(L) → 0 as connectivity criterion), and bifurcation criterion scope. Adds Kramers escape rate formalization and global basin structure analysis. For formal researchers and AI alignment teams.

**3. SCF Strategic Transition Framework v3.0** — Strategic and applied layer. Extends v2.0 with piecewise nonlinear dynamics for A and K, explicit correlation structure between Capture and Collapse risks, bifurcation-grounded provisional thresholds, and full sensitivity analysis for α, β, γ, δ coefficients. Eight testable hypotheses. For policy analysts and institutional decision-makers.

**4. SCF FAQ for Managers v1.3** — Operational layer. 27 questions covering AGI rationality, symbiosis triad, mathematical protections, geopolitics, demographic integration, compute governance, and calibration protocols. Validated by Claude, ChatGPT, DeepSeek, GLM, Gemini, and Grok. Bilingual (Russian/English). For executives and decision-makers.

This collection is the first documented multi-AI collaborative research project (Claude, ChatGPT, DeepSeek, Grok, Gemini, Kimi, GLM). All documents are licensed CC BY 4.0.