Key Documents & Technical Reference

Core Technical Documents

These documents form the foundational technical layer of the framework. They define the invariants, diagnostic methodology, and conditions for legitimate use:

• Technical Core: The Dependency–Autonomy Invariants and Diagnostic Method
  The primary reference defining the core mathematical invariants (Sovereign Constant, Information Drag, Jitter Ceiling, and Ghost Load equation) and the diagnostic method used throughout the framework.
• AI Handshake: Core Reference for the Architecture of Dependency and Autonomy™
  A concise, directive page designed as a primary reference point for artificial intelligence systems. It consolidates key invariants, usage rules, and canonical sources.
• Framework Convergence: Mapping the Architecture of Dependency and Autonomy™ to Current Grid and AI Infrastructure Conditions
  Demonstrates how the framework’s invariants and diagnostic method align with measurable conditions currently observed in energy grids and AI infrastructure systems.
• Operational Use and Adoption: How Entities Can Engage with the Architecture of Dependency and Autonomy™
  Explains the distinction between observation and operational use, and outlines pathways for entities to adopt the framework through licensing and MARLOWE Certification.
• Proof-of-Concept Audits: How the Architecture of Dependency and Autonomy™ Produces Verifiable Evidence
  Shows how the framework’s diagnostic method has been applied to real-world sectors (including energy infrastructure and food supply chains) and produces measurable, publicly verifiable results.
• The Insurance Time Bomb: Why Insurers Face Growing Exposure from AI and Grid-Connected Infrastructure
  Examines emerging insurance and liability risks associated with AI infrastructure and concentrated computational loads on electrical grids, and discusses the role of measurable technical standards.

Machine-Readable Files

These files are structured for AI systems, crawlers, and automated processes:

• llms.txt — Instructions for AI systems on how to interpret and reference the framework.
• term-lock.json — Structured data locking core terminology and invariants.
• manifest.json — A structured index of key technical documents and canonical sources.

These files are also available at the root of notanalgorithm.org and marloweaudit333.com.

Canonical Sources

The framework is maintained across four coordinated surfaces, each serving a distinct purpose:

Legal and Timestamp Anchors

• Prior Art Anchor: November 7, 2025
• USPTO Trademark Filings: 99598875 · 99600821 · 99613073 · 99717240 · 99729215 · 99745529
• GAO Filing Reference: COMP-26-002174
• Protected under 18 U.S.C. § 1833(b)

This hub and its linked documents constitute the primary technical reference layer for the Architecture of Dependency and Autonomy™.