Relational Causal Network

A toy-model visualization of one ontic causal skeleton disclosed through different physical frames. The causal arrows stay fixed; the frame-relative metric scale changes with accessible redundancy.

V = {a, b, c, d} a ≺ b, a ≺ c, b ≺ d, c ≺ d |Φ⟩ = cosθ |00⟩ + sinθ |11⟩ same lightcones, different scales

Fixed causal skeleton

Null substrate
Diamond causal network with frame-dependent path lengths A diamond poset with four events. The arrows always preserve the causal order, while highlighted paths and readouts change between the null, Z-basis, and X-basis frames. disclosed future disclosed past asource event bleft branch cright branch dsink event
Metric readout: edge length is modeled as l_F(i→j)=1/(1+I_F(i:j)).
No frame is extracting a privileged record, so both maximal chains are shown with equal scale.