Entity-Level Deepfakes and the Stabilization of Intellectual Provenance
This paper formalizes the concept of entity-level deepfakes—synthetic constructs that maintain persistent digital identities across platforms, participate in fabricated reference networks, and are designed to be indistinguishable from authentic entities. Introduces the Synthetic Density Index and proposes verified training corpus frameworks.
entity-level deepfakesepistemic infrastructureintellectual provenancesynthetic saturationrecursive corpus corruptionAI safetypatent integrityverified training corpussynthetic density index
Cite
Thomas Perry Jr.. "Entity-Level Deepfakes and the Stabilization of Intellectual Provenance." Pastoral Tech, 2026-02-15. DOI: 10.5281/zenodo.18645301. Available at: https://doi.org/10.5281/zenodo.18645301
BibTeX
@article{perry2026entity,
author = {Perry, Thomas Jr.},
title = {Entity-Level Deepfakes and the Stabilization of Intellectual Provenance},
year = {2026},
month = {02},
doi = {10.5281/zenodo.18645301},
url = {https://doi.org/10.5281/zenodo.18645301},
publisher = {Zenodo},
license = {CC-BY-4.0}
}