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May 29, 20260 citationsOpen Access

Gravitomagnetic Observer-Split Source-Term Diagnostics for Public PURSUE UAP Records: A Reproducible Bayesian Bridge Analysis

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AIAntonio Iadicicco

Key Points

  • This research aims to connect public PURSUE UAP records with an observer-split source-term framework using Bayesian methods.
  • Implemented a reproducible Bayesian bridge analysis linking UAP records to source terms.
  • Evaluated multiple structural models including residualized and non-speed variants.
  • Added 33 title-disjoint records in the public Release-02/AARO extension, totaling 79 records.
  • Established a reproducible empirical-proxy signature for UAP records.
  • Created a falsifiable framework for future telemetry with no claims of object identification or propulsion validation.

Abstract

This preprint presents a reproducible Bayesian bridge analysis linking public PURSUE UAP records to an observer-split source-term framework. The study operationalizes a gravitomagnetic observer-split source scaling as a public-data proxy and evaluates speed-clean, speed-controlled, residualized, and non-speed structural models. The Release-02/AARO public-record extension adds 33 title-disjoint records, raising the combined non-speed structural corpus to 79 records. The work does not claim object identification or direct physical validation of a propulsion mechanism; it establishes a reproducible empirical-proxy signature and a falsifiable framework for future calibrated telemetry.

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Cite This Study

Antonio Iadicicco (2026) studied this question.

synapsesocial.com/papers/6a192f1bfab5b468c44186a5https://doi.org/10.5281/zenodo.20404833
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