Architectural Signatures in Multi-Agent Reasoning: Prompt-Independent Generation and Instrument-Dependent Evaluation

Three control architectures (single-shot, parallel ensemble + synthesizer, sequential four-role chain) processing one complex institutional case are shown to carry stable closure-operation signatures. Two confounds are defeated: prompts are regenerated by an independent adversarial generator and re-run in triplicate (27 outputs, 3/3 per signature); a pre-registered blind external judge classifies the nine anonymized outputs 9/9 by operation (chance p ≈ 5.1×10⁻⁵), including 6/6 on the critical pair. The key finding is the instrument inversion: the same external judge that barely discriminates the conditions under a quality rubric (Δ = 0.262) succeeds perfectly under an operation rubric — content converges across architectures, operations do not. Third deposit of the CODHZ research program.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20717393
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
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article

Architectural Signatures in Multi-Agent Reasoning: Prompt-Independent Generation and Instrument-Dependent Evaluation

Marcelo Manucci
Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
article

Architectural Signatures in Multi-Agent Reasoning: Prompt-Independent Generation and Instrument-Dependent Evaluation

Marcelo Manucci
article en

Abstract

Three control architectures (single-shot, parallel ensemble + synthesizer, sequential four-role chain) processing one complex institutional case are shown to carry stable closure-operation signatures. Two confounds are defeated: prompts are regenerated by an independent adversarial generator and re-run in triplicate (27 outputs, 3/3 per signature); a pre-registered blind external judge classifies the nine anonymized outputs 9/9 by operation (chance p ≈ 5.1×10⁻⁵), including 6/6 on the critical pair. The key finding is the instrument inversion: the same external judge that barely discriminates the conditions under a quality rubric (Δ = 0.262) succeeds perfectly under an operation rubric — content converges across architectures, operations do not. Third deposit of the CODHZ research program.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 4%
AI-based Problem Solving and Planning
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