# TASK-095-04: Parameter Memory and Workflow Matching Hardening

**Parent:** [TASK-095](./TASK-095_LaBSE_Semantic_Layer_Boundaries.md)  
**Status:** ✅ Done  
**Priority:** 🔴 High  
**Depends On:** [TASK-095-01](./TASK-095-01_Semantic_Responsibility_Policy_and_Code_Audit.md)

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## Objective

Harden the allowed role of LaBSE within parameter memory and workflow matching so semantic reuse does not become hidden policy approval.

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## Repository Touchpoints

- `server/router/application/resolver/parameter_resolver.py`
- `server/router/application/resolver/parameter_store.py`
- `server/router/application/matcher/semantic_workflow_matcher.py`
- `server/router/application/matcher/ensemble_aggregator.py`

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## Layered Subtasks

| ID | Title | Focus |
|----|-------|-------|
| [TASK-095-04-01](./TASK-095-04-01_Core_Parameter_Memory_Workflow_Matching.md) | Core Parameter Memory and Workflow Matching Hardening | Core implementation layer |
| [TASK-095-04-02](./TASK-095-04-02_Tests_Parameter_Memory_Workflow_Matching.md) | Tests and Docs Parameter Memory and Workflow Matching Hardening | Tests, docs, and QA |

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## Acceptance Criteria

- learned mapping reuse is clearly separated from execution-policy approval

## Completion Summary

- parameter memory reuse is now gated by parameter relevance before learned mappings can be applied
- semantic workflow metadata and telemetry markers now identify workflow retrieval as an allowed semantic scope rather than policy/truth approval
