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ZENODO
Report . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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GENERATIVE FILMMAKING & PRODUCTION VOLUME III Persistent Generative Personas & Legacy Data Systems

Authors: Valdes, Robert;

GENERATIVE FILMMAKING & PRODUCTION VOLUME III Persistent Generative Personas & Legacy Data Systems

Abstract

Generative Filmmaking & Production — Volume III: Persistent Generative Personas and Legacy Data Systems advances the Production 2.0 framework into the domain of entertainment metadata. Where Volume I documented compositing discipline and Volume II documented narrative architecture and safety intelligence, Volume III addresses what happens when a director-led generative workflow produces recurring non-human cast members that legacy relational databases (IMDb, MUBI) were never designed to hold. Using the Aevara cinematic universe as an active stress-test case study, this paper introduces the Persistent Generative Persona (PGP) / Persistent Generative Actor (PGA) framework — the argument that a locked visual blueprint (Commander Alpha) or a Locked Apparel Specification (the CEO's navy suit) can function as a valid, recurring database key across multiple independent artifacts. Frameworks documented: the Ontological Crisis of relational metadata, the Human Anonymity Inversion, the On-Screen Credit Primacy Protocol, the (Self) Attribute Loophole, the On-Screen Graphic Matching Protocol (OSGMP), the Human Audit Defense Matrix, and the Gilded Ledger transmedia-integration protocol. Produced on consumer-tier tools as part of the open Production 2.0 research series. Free distribution.

Related Organizations
Keywords

generative video, Artificial intelligence, prompt engineering, Video, Generative artificial intelligence, ai cinema

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green