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Didactopus

This update adds a learner-state progression engine scaffold.

It models how mastery records can evolve over time from repeated evidence, with:

score aggregation
confidence reinforcement and decay
prerequisite-gated advancement
next-step recommendations

Current components:

learner state model
evidence application engine
confidence update logic
prerequisite-gated readiness checks
recommendation engine
tests and sample data