Representational Centric Computer (RCC): A Research Architecture for Relational Representation, State Correspondence, and Experimental Verification

Representational Centric Computer (RCC): Foundational Research Architecture — Version 00.1 The Representational Centric Computer (RCC) is an experimental research architecture investigating computational organization through explicit representations of objects, categories, states, relationships, contracts, genealogies, and temporal trajectories. RCC explores a representation-centered approach to computational systems in which representational identity, integrity, relational correspondence, and contextual admissibility are treated as distinct properties subject to contractual evaluation and experimental verification. The research architecture incorporates specialized instruments, including the Deterministic Relational Analyzer (DRA), Representational Control Memory (RCM), Representational Hypothesis Bench (RHB), Document Representation Builder (DRB), and Representational State Auditor (RSA). The methodology emphasizes deterministic evaluation, bounded experimental environments, independent documentary verification, reproducible evidence, and preservation of historical experimental baselines. Initial experimental investigations include G0-to-G1 commit-state examinations, providing bounded evidence that individual representational integrity and event-to-state correspondence are distinct verification properties. The paper also introduces ongoing research directions concerning representational invariants, temporal trajectories, and Representational Kinetic Potential (PCR). These concepts remain research proposals and are not presented as experimentally established general computational properties. This foundational publication establishes the initial scientific description of the RCC research program, its architectural organization, experimental methodology, current limitations, and future research directions. Research project: RCC ResearchResearch framework: ATSYS ARE — Adaptive Representational EngineDocument identifier: RCC-PAPER-001Version: V00.1Publication category: Research Preprint Scientific status: Foundational research architecture with bounded experimental evidence. Not peer-reviewed.