
This paper examines the reliability limits of recursive delegation in multi-agent cognitive systems. Building on themes introduced in “The Validator’s Paradox,” it analyzes whether game-theoretic consensus, cryptographic provenance, and transitive accountability are sufficient to ensure epistemic robustness in distributed agent architectures. We argue that in systems where validators and workers share correlated representational priors, recursive oversight does not necessarily produce monotonic reliability gains. In such settings, delegation mechanisms may distribute responsibility without resolving shared epistemic drift. The paper introduces the concept of the Homunculus Protocol to describe architectures that implicitly assume terminal grounding emerges from recursive chains of stochastic agents. We propose instead that durable reliability requires intra-agent grounding mechanisms capable of enforcing formal constraints and rejecting internally coherent but externally invalid states. This work is intended as a structural systems critique and a contribution to ongoing discussions on agentic AI reliability.
Artificial intelligence, Artificial Intelligence
Artificial intelligence, Artificial Intelligence
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