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From Admission to Invariants: Measuring Deviation in Delegated Agent Systems paper by Marcelo Fernandez
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Paper

From Admission to Invariants: Measuring Deviation in Delegated Agent Systems

by Marcelo Fernandez arxiv/2604.17517
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36.4
S: Semantic 50

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P: Popularity 0
R: Recency 72
Q: Quality 60
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Autonomous agent systems are governed by enforcement mechanisms that flag hard constraint violations at runtime. The Agent Control Protocol identifies a structural limit of such systems: a correctly-functioning enforcement engine can enter a regime in which behavioral drift is invisible to it, because the enforcement signal operates below the layer where deviation is measurable. We show that enforcement-based governance is structurally unable to determine whether an agent behavior remains wit...

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Registry ID 2604.17517
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BibTeX 
@misc{arxiv_2604_17517,
  author = {Marcelo Fernandez},
  title = {From Admission to Invariants: Measuring Deviation in Delegated Agent Systems Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2604.17517}},
  note = {Accessed via Free2AITools.}
}
APA Style
Marcelo Fernandez. (2026). From Admission to Invariants: Measuring Deviation in Delegated Agent Systems [Paper]. Free2AITools. https://arxiv.org/abs/2604.17517

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Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 72
Quality (Q) 60

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FNI V2.0 for From Admission to Invariants: Measuring Deviation in Delegated Agent Systems: Authority (A:0), Popularity (P:0), Recency (R:72), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Autonomous agent systems are governed by enforcement mechanisms that flag hard constraint violations at runtime. The Agent Control Protocol identifies a structural limit of such systems: a correctly-functioning enforcement engine can enter a regime in which behavioral drift is invisible to it, because the enforcement signal operates below the layer where deviation is measurable. We show that enforcement-based governance is structurally unable to determine whether an agent behavior remains wit..."

❝ Cite Node 

@article{Fernandez2026From,
  title={From Admission to Invariants: Measuring Deviation in Delegated Agent Systems},
  author={Marcelo Fernandez},
  journal={arXiv preprint arXiv:2604.17517},
  year={2026}
}

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Marcelo Fernandez

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Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

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πŸ“…1970Published
⏱️72RecencyFNI pillar
βœ…60QualityFNI pillar
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id
2604.17517
slug
2604.17517
source
arxiv
author
Marcelo Fernandez
license
arXiv
tags
arxiv:cs.AI, arxiv:cs.CR

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