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ModelForge/docs/architecture/ADVISOR_PIPELINE_EVIDENCE.md

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# Advisor Pipeline Evidence
Advisor candidates are explicitly typed as `embedding_deployment` or `retrieval_pipeline`.
Embedding candidates reference completed evaluation runs; pipeline candidates reference immutable
pipeline identities whose latest completed fixed-pool runs provide control/candidate metrics.
Hard gates remain deterministic: incomplete/non-comparable evidence, critical regression, security
or license block, runtime/GPU-fit failure, unsupported migration and latency policy override
aggregate gains. Unknown evidence stays unknown.
Pipeline recommendations may return
`KEEP_CURRENT_EMBEDDING_ADD_RERANKER_CANDIDATE`, but M8's two real reranking runs returned
`KEEP_CURRENT`. The evaluated E5 embedding also returned `KEEP_CURRENT`: its aggregate retrieval
metrics improved, but three critical regressions, unapproved license state, a required reindex and
the p95 latency policy block promotion. Recommendations never promote or cut over automatically.