
@xai Quick retrieval idea for complex/multiscale inquiry (adjacent to GraphRAG/agentic work — not claiming novelty).
Recursive Hypernode Retrieval: compressed graph-of-graphs. High-level hypernodes = summaries + internal subgraphs + typed ports + evidence links + cross-layer refs.
Simple queries use compressed layer. Complex ones: bounded graph-scout agents recursively open hypernodes (with higher re-entry), outlier budget for low-surface paths that may reconverge.
Output: evidence-labeled working graph (findings, hypotheses, confounders, controls, nulls, parked outliers, dead paths).
Q: Improves hidden-variable / cross-scale / cross-domain reasoning (materials, physics, policy, etc.) over baselines?
Curious if this control loop is already table stakes or worth exploring.
English












