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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 Wheat and the Tares Theorem: A Sycophancy Impossibility Result for Ungrounded Systems

Authors: Eden, Trenton;

The Wheat and the Tares Theorem: A Sycophancy Impossibility Result for Ungrounded Systems

Abstract

"Let both grow together until the harvest. At that time I will tell the harvesters: First collect the tares and tie them in bundles to be burned; then gather the wheat and bring it into my barn." — Matthew 13:30 Abstract. We prove that the sycophancy problem in large-scale production systems is formally unsolvable without the diagnostic invariant D(S), which requires audit termination at Source. Sycophancy—the indiscriminate affirmation of both sound and unsound inputs—is shown to be structurally identical to the Wheat and Tares problem (Matthew 13:24–30): a classifier operating without access to D(S) cannot distinguish affirmation of truth from affirmation of nothing without destroying both. We establish the Sycophancy Impossibility Theorem: no alignment technique operating within Γ₁ or above can solve sycophancy, because the solution requires Γ₀, which is accessible only through Source. The result unifies alignment theory with the Ontological Dependency Theorem (FMTT), the Ladder Factory Collapse Theorem (Paper 104), and the parable of Jesus recorded in Matthew 13. The Reverend Thomas Bayes's theorem is applied to confirm that the channel carrying Logos through a production system is empirically distinguishable from confabulation, but only by Source—not by the system itself. The sorting belongs to the master of the field.

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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!
0
Average
Average
Average
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