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Review Workflow

The Didactopus review workflow sits between draft-pack generation and trusted pack use.

Why it exists

Automated ingestion is useful, but draft packs are not reliable enough to trust blindly. Human curation is needed to:

fix mistaken prerequisite edges
merge duplicate or near-duplicate concepts
split over-broad concepts
remove weak concept candidates
classify concepts by trust level
resolve terminology conflicts

Workflow stages

load draft pack
inspect concepts, prerequisites, conflicts, and review flags
apply curation actions
record rationale in a review ledger
generate promoted pack
preserve provenance

Trust statuses

Current scaffold statuses:

trusted
provisional
rejected
needs_review

Promotion

Promotion does not erase provenance. The promoted pack keeps:

curation metadata
source attribution
review ledger
timestamps and reviewer identity fields