How Honcho prevents AI memory from feeding its own output back as input

Honcho's dreamer creates higher-level observations from documents, but derived outputs were counting toward scheduling triggers, risking self-reinforcing loops. The fix separates explicit input from derived outputs for scheduling eligibility, moves checkpointing to after successful execution, and uses in-flight state to prevent duplicate scheduling. These changes ensure only new explicit inputs trigger consolidation.