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May 4, 20260 citationsOpen Access

Eyes Wide Sharp: A Biaxial Fresnel Framework for Passive Polarimetric Preprocessing with Applications to Sovereign Physical AI Coordination

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ARAdon Roche

Key Points

  • The research aims to develop a biaxial Fresnel optical preprocessor for material-aware perception in multi-agent systems.
  • Developed a calculation model for walk-off displacement using the Fresnel equation without uniaxial approximation.
  • Scaled Monte Carlo simulations from N=5104 to N=5106 rays with a 95% confidence interval.
  • Characterized thermal resolution and defined a perceptual layer for sovereign coordination ecosystems.
  • Achieved a maximum 0.7% deviation in numerical evaluations from exact oblique-incidence forms.
  • Established OSARIS as a passive information channel, effectively integrating thermal sensitivity into multi-agent context.
  • Demonstrated a framework for distributed perceptual infrastructure contributing to a shared minimum viable reality.

Abstract

A passive optical preprocessor based on biaxial Fresnel walk-off is developed as a substrate for material-aware perception in heterogeneous physical multi-agent systems. We complete the derivation of the walk-off displacement d from the indicatrix-form Fresnel equation without uniaxial approximation, with full Poynting-vector geometry; the paraxial small-angle form d=ttan is used in numerical evaluation with documented 0.7% deviation from the exact oblique-incidence form (§2.2). We scale the supporting Monte Carlo from N=5104 to N=5106 rays under bootstrap CI 95%, and sweep a four-dimensional parameter envelope (CT,,T,material) across eight biaxial crystals. The thermal sensitivity =d/T — typically treated as a tolerance budget — is reframed as a passive information channel through the operator O:d⇌T (with T=d/|T0); we designate this subsystem OSARIS and characterize its thermal resolution for the eight-material library. The framework is then specified as the perceptual layer of a sovereign coordination ecosystem (ROCH3): not only as agent-borne preprocessing (extending the multi-agent claims of the second provisional application), but as a candidate for distributed perceptual infrastructure in which fixed installations contribute polarimetric and OSARIS-thermal context to a shared minimum viable reality (MVR) Roche 2026b §3.2 under the conservative composition operator Roche 2026b §3.3. A companion software demonstrator (software/odin/) provides reference implementations of the walk-off, OSARIS, and distributed-perception components. The contributions are documentary and architectural: every numerical result is traceable to an executable function with no proprietary dependencies, and every claim that exceeds first-principles physics is flagged with falsification criteria.

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Cite This Study

Adon Roche (2026) studied this question.

synapsesocial.com/papers/69f8380b3ed186a73998260fhttps://doi.org/10.5281/zenodo.19964173
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