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Recursive Micro-Networks for Efficient Reasoning

Engineer lightweight neural architectures that iterate on their own outputs to rival larger models in structured reasoning tasks.

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6. Governance and Safety Considerations

Recursive systems carry unique risks: infinite loops, fabricated justifications, or failure to escalate when stuck.

Safety Mechanisms#

  • Max Step Limits: Hard cap on iterations with graceful fallback to conservative outputs.
  • Divergence Detectors: Monitor for oscillations or repeated states; trigger alternative strategies or human review.
  • Audit Trails: Log every iteration with timestamps, state summaries, and critique tokens.
  • Policy Filters: Apply content filters to outputs and intermediate reasoning to prevent harmful or biased behavior.

Human-in-Loop Escalation#

For high-stakes domains, route unresolved tasks to human experts with full reasoning traces. Provide tools for annotating loops or missteps, feeding corrections back into future training.

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