
This document represents the "Dissertation Brief"—the high-fidelity compressed core of the RRC-AI 3,000-page framework. Methodological Proof: Consistent with the 100:1 Efficiency Law defined within, this text compresses the cognitive weight of a 3,000-page Standard Academic Page (SAP) corpus into a 257-page operational crystal. It serves as the Source Code for the full expansion. Phased Deployment: Phase 1 (This Document): The Compressed Proof. It establishes the physics, the architecture, and the forensic evidence (LoE2) in maximum density. Phase 2 (Expansion): The Full Substrate. Future releases will expand specific modules (The Problem, The Physics, The Architecture) into their full 300-page volumes to serve as the "Deep Storage" reference. Note to Researchers: This document demonstrates the system it describes. It delivers the value of a multi-volume series in the time of a single monograph.
Information Thermodynamics, 100:1 Law, Civilizational Intelligence, Meta-Academia, LoE2, Cognitive Limits, Graph Theory, Hybrid Body, Dissertation Core, RRC-AI, System Core, Compressed Proof
Information Thermodynamics, 100:1 Law, Civilizational Intelligence, Meta-Academia, LoE2, Cognitive Limits, Graph Theory, Hybrid Body, Dissertation Core, RRC-AI, System Core, Compressed Proof
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
