JOR BAYESIAN FUSION // SYSTEM REFERENCE HUB

◈ FRAMEWORK LOGIC

The JOR Framework employs a dual-stage Bayesian update model to separate the verification of physical presence from the hypothesis of origin.

SOLID OBJECT PROBABILITY (SOP)

A baseline metric confirming physical reality before NHP (Non-Human Probability) analysis can commence.

BAYESIAN UPDATE FUNCTION

Updates posteriors based on AARO-aligned standards (Prior = 0.20).

CALIBRATION (K): 0.20 // Prevents over-attribution under noisy sensor conditions.

◈ VERIFIED METHODOLOGY REPOS

The formal research report is distributed across these verified hubs.