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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Homunculus Protocol: Why Market Incentives and Cryptography Cannot Solve the Validator's Paradox

Authors: Latapie, Hugo;

The Homunculus Protocol: Why Market Incentives and Cryptography Cannot Solve the Validator's Paradox

Abstract

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.

Keywords

Artificial intelligence, Artificial Intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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