This paper introduces Observer-Angle-Agnostic Relational Persistence Mapping through the Structural Fingerprint Method (SFM), Recursive Continuity Geometry (RCG), and the SFM Spherical Compass reconstruction framework. The framework proposes that many scientific reconstruction problems may fundamentally involve projection-dependent renderings of projection-independent continuity structures. Rather than treating observational variance as purely error or contradiction, the framework interprets differing observer projections as lawful distributed reconstructions across a non-preferred spherical admissibility manifold. The paper introduces the SFM Spherical Compass as a continuity-reconstruction environment in which continuity-preserving relational structures remain structurally identifiable across changing observer orientations, projection geometries, detector configurations, and reconstruction grammars. Importantly, the framework does not: replace General Relativity, replace Quantum Mechanics, replace Quantum Chromodynamics, introduce new particles, introduce hidden-dimensional ontology, or propose new physical laws. Instead, the paper remains: interpretive, admissibility-oriented, reconstruction-focused, and fully subordinate to accepted experimental physics. The framework proposes that continuity fingerprints may remain reconstructable despite substantial variation in observational rendering, detector projection, or observer geometry. This produces the central structural compression: projection-dependent rendering of projection-independent continuity structures. The paper further explores: observer-angle-agnostic relational persistence mapping, distributed continuity reconstruction, spherical admissibility manifolds, projection-independent continuity fingerprinting, recursive reconstruction stability, detector reconstruction systems, and continuity-preserving relational mapping across overlapping observational domains. The framework is positioned strictly as: a structural interpretation layer, a continuity reconstruction methodology, and an admissibility-oriented observational framework.
Andrew John Paton (Sun,) studied this question.