Automated Validation & Attribution of Digital Provenance Records Using Multi-Modal Analysis and Recursive HyperScore Evaluation (AVADPR)

**Abstract:** The escalating volume of digital information necessitates robust, automatable methods for verifying authenticity and establishing provenance. Previous approaches struggle with the complexity of non-standard media formats and the evolving landscape of digital manipulation. Automated Validation & Attribution of Digital Provenance Records (AVADPR) introduces a novel, scalable framework leveraging multi-modal data ingestion, semantic decomposition, and a recursive HyperScore evaluation system to detect inconsistencies and attribute origin to digital records. This system uniquely accounts for varying levels of trust assigned to different data sources and dynamically adjusts the evaluation process based on observed patterns. Independent validation against established forensic principles promises substantial improvement in efficiency and accuracy compared to current expert human review processes, offering immediate commercial viability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-03
DOI
https://doi.org/10.5281/zenodo.17254385
Primary Topic
Plant Diversity and Evolution
Type
article
Field-Weighted Citation Impact
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article

Automated Validation & Attribution of Digital Provenance Records Using Multi-Modal Analysis and Recursive HyperScore Evaluation (AVADPR)

Zenodo (CERN European Organization for Nuclear Research)
Plant Diversity and Evolution
article

Automated Validation & Attribution of Digital Provenance Records Using Multi-Modal Analysis and Recursive HyperScore Evaluation (AVADPR)

article en

Abstract

**Abstract:** The escalating volume of digital information necessitates robust, automatable methods for verifying authenticity and establishing provenance. Previous approaches struggle with the complexity of non-standard media formats and the evolving landscape of digital manipulation. Automated Validation & Attribution of Digital Provenance Records (AVADPR) introduces a novel, scalable framework leveraging multi-modal data ingestion, semantic decomposition, and a recursive HyperScore evaluation system to detect inconsistencies and attribute origin to digital records. This system uniquely accounts for varying levels of trust assigned to different data sources and dynamically adjusts the evaluation process based on observed patterns. Independent validation against established forensic principles promises substantial improvement in efficiency and accuracy compared to current expert human review processes, offering immediate commercial viability.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 37%
Plant Diversity and Evolution
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