Indexing Reality: Boundary-Spanning Objects, Automated Scene Creation, and the Convergence of Spatial Intelligence with RF Digital Twins

Position paper arguing that automated spatial scene creation constitutes a boundary object enabling knowledge transfer across industries. The primary deliverable of RF digital twin pipelines is not the propagation model but the scene itself: a queryable physics-based spatial fabric. Introduces the LLM-LQM-SQM intelligence progression, maps SMILE methodology and MIMs to scene creation, and proposes the NUDEDA organisational framework. Extends the Reality Construct framework (Waern, 2026, DOI: 10.5281/zenodo.19586835).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-15
DOI
https://doi.org/10.5281/zenodo.19586867
Primary Topic
Augmented Reality Applications
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article
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article

Indexing Reality: Boundary-Spanning Objects, Automated Scene Creation, and the Convergence of Spatial Intelligence with RF Digital Twins

Nicolas Waern
Zenodo (CERN European Organization for Nuclear Research)
Augmented Reality Applications
article

Indexing Reality: Boundary-Spanning Objects, Automated Scene Creation, and the Convergence of Spatial Intelligence with RF Digital Twins

Nicolas Waern
article en

Abstract

Position paper arguing that automated spatial scene creation constitutes a boundary object enabling knowledge transfer across industries. The primary deliverable of RF digital twin pipelines is not the propagation model but the scene itself: a queryable physics-based spatial fabric. Introduces the LLM-LQM-SQM intelligence progression, maps SMILE methodology and MIMs to scene creation, and proposes the NUDEDA organisational framework. Extends the Reality Construct framework (Waern, 2026, DOI: 10.5281/zenodo.19586835).

Zenodo (CERN European Organization for Nuclear Research)
Association of British Orchestras (GB)
Openalex Percentile: Top 18%
Augmented Reality Applications
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