Published May 3, 2026 | Version 1.0

ICEC V1.B — Observer-Frame Propagation Framework: Lens, Reality, Propagation, Perception, Scale, and Universe-Frame Work

Authors/Creators

  • 1. Independent Researcher

Description

This publication establishes the Observer-Frame Propagation Framework under ICEC V1.B, authored by Anthony Luis Almaguer.

The framework defines observation, perception, media capture, artificial perception, measurement, communication, memory, and continuity as receiver-bound reconstruction processes. It begins from the principle that reality resolves first, propagates second, and is perceived third.

The work argues that cameras, eyes, sensors, AI models, robots, media systems, measurement tools, and communicating minds do not receive reality directly as reality itself. Instead, they receive delayed propagation, transformed input, selected data, framed presentation, or expressed signals that must be reconstructed within a receiving frame.

The document includes the core framework chain, key terminology, camera and lens analysis, human perception and coned reception geometry, media and live feed delay, AI and robotics implications, measurement and scale theory, communication and shared-frame alignment, memory and anchor-based continuity, domain translation maps, attribution requirements, boundary statements, and included figure captions.

This record is intended as a public timestamp and authorship declaration for the integrated receiver-frame structure and its associated terms, principles, and field applications.

Technical info (English)

This framework is original in its integrated receiver-frame structure, but it acknowledges related background traditions in perception philosophy, predictive processing, media framing, measurement theory, scientific representation, computer vision, and robotics reconstruction. These references are included as adjacent background fields, not as identical prior versions of the Observer-Frame Propagation Framework.

Files

ICEC_V1B_Observer_Frame_Propagation_Framework_Anthony_Luis_Almaguer_SECTION_HEADERS_WITH_FIGURES.pdf

Additional details

Dates

Created
2026-05-03
Initial public declaration and timestamped framework record.

References

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  • Tal, E. "Measurement in Science." Stanford Encyclopedia of Philosophy, 2015.
  • Frigg, R., and Nguyen, J. "Scientific Representation." Stanford Encyclopedia of Philosophy, 2016.
  • Szeliski, R. Computer Vision: Algorithms and Applications. Springer, 2010.