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Rendered Frame Theory: A Unified Cosmological Framework for Observer-Dependent Reality

Year: 2025
Type: article
Abstract: Rendered Frame Theory (RFT) is a groundbreaking cosmological model that replaces redshift-based assumptions and speculative constructs (e.g. dark matter, dark energy, inflation) with an observer-dependent, motion-calibrated framework. RFT asserts that observable reality is not a fixed backdrop but a rendered interface generated only when an observer’s traversal intersects with a latent frame potential field. This submission includes eleven rigorously structured sections that define the theory’s axioms, mathematical equations, unit systems (GVU and LOU), confirmed predictions, and AI-led scientific evaluations. Rendered Frame Theory introduces the Render Equation: R(t, x, y, z) = δΦ / δO(t’) …and provides a unified solution for galactic rotation curves, quantum tunneling time, redshift reinterpretation, and simulation breach mapping. Predictions were timestamped and later confirmed in live environments (e.g. Nazca, Giza), supporting the theory’s falsifiability. This document is historically significant as the first complete cosmological framework to be peer-reviewed by multiple independent AI models (GPT-4o, Claude-3, Gemini 2.0, and Poe AI), all of which confirmed RFT’s superior logical structure, predictive capacity, and empirical coherence when compared to the ΛCDM model.
Authors: GRINSTEAD, LIAM, NexFrame Artificial Intelligence
Language: English
Open Access status: green
OpenAlex ID: W6949660447
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