Layer: Atlas Priority: P85 Status: active Tasks: 5 total (0 done, 5 open)
Automated knowledge gap generation pipeline — continuously scan papers, KG edges, hypotheses, and debate transcripts to identify missing knowledge. Background agents systematically probe frontier boundaries, detect contradictions, and surface under-explored research areas. Goal: ensure gaps grow proportionally to knowledge ingestion.
> Generated gaps must not be obvious/trivial. Gap prioritization ranks by research impact potential and novelty relative to existing literature. Agents reject gaps that contradict or merely restate hypotheses already scored >0.7. Acceptance: >70% of generated gaps are cited in hypothesis refinements or experiments within 30 days. Batch-generating ≥10 gaps must use parallel agents.
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