docs: checkpoint return to Confidence Engine origin

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**What this establishes:** On fresh Start calls, deterministic keyword signals can override model-inferred investigation priority when node labels differ in dictionary-match patterns. The final investigation target is not the model's contextual judgment but the highest-scoring candidate under fixed scoring rules.
**What this does NOT prove:** Whether the deterministic selection is better or worse than the model's suggestion; consistency across scenario types; or downstream investigation quality impact.
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## RETURN-TO-ORIGIN CHECKPOINT
**selector-led compulsory next-question optimisation is PAUSED**
**semantic-selector replacement is also PAUSED**
Recent work is preserved as valuable experimental learning. The graph/reconstruction/decomposition/invariant work remains potentially reusable. No replacement architecture has been selected.
The next phase starts from the workspace/methodology question, not from a preselected technical solution.
See:
- `docs/methodology-checkpoint-return-to-origin.md` — repository-facing checkpoint summary
- `docs/Confidence_Engine_Return_to_Origin_Methodology_Context_2026-08-18.md` — full methodology context (source)