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.
Institutions
- Freed–Hardeman University (US)
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
- 0.00