Problem
Multiple consumers can accidentally grow competing calculations and incompatible state.
Engineering Case Study
Replace ambiguous state with deterministic projection.
Engineering case study: deterministic state engines preserve canonical inputs, versioned rules, explicit time basis and fail-closed contradictions.
DSE state integrity
When several consumers each grow their own copy of the math, state quietly forks and no version can be trusted. DSE centralizes domain calculation inside specialized engines with explicit lane boundaries, so consumers render projected state instead of becoming competing truth engines.
Method
DSE centralizes domain math inside specialized engines while keeping lane boundaries explicit.
Result
Consumers render projected state without becoming independent truth engines.
Boundary
Each engine owns only its declared domain and does not invent missing source truth.
Current Evidence
Domain math lives inside the engine; consumers render, not recompute.
Missing or contradictory required truth resolves to HOLD.
State reconstructs from canonical inputs, versioned rules and explicit time basis.