Collective Intelligence Phase Engineering: Audited Retention and Achieved Growth

Abstract

This theoretical preprint studies how to observe, control and retain collective capability under explicit evidence, verification and resource constraints. It separates temporary task performance, interaction-specific contribution, retained growth and acceleration against complete evolving comparators with matched information and resource entitlements. Paid adaptive audits, finite catalogue retention, receipt-based continuation accounts and conditional moment bounds connect phase declarations to achieved stock. The results depend on justified calibration, fixed endpoint targets and funded execution; mathematical examples do not demonstrate empirical collective-specific acceleration or a physical phase transition.

Keywords

• collective intelligence
• partial observation
• retained capability
• verification
• robust control
• sequential evidence

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