Z-GS is not a system design.
It is a generalized substrate concept describing how sensing capacity emerges from distributed, minimally expressive components.
Rather than increasing node sophistication, Z-GS increases population and correlation depth.
Capability arises statistically, not deterministically.
The framework resists conventional performance evaluation because no single node is responsible for detection.
Behavior emerges at the network boundary.
Z-GS highlights a recurring misclassification in engineering practice:
distributed systems are often evaluated as degraded centralized systems rather than as distinct architectural classes.

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