Functional Audit and Candidate-Coverage Diagnostics for Connection Dynamics

Under frozen criteria and in artificial environments, some relation combinations pass an existence gate, a task-synergy gate, and a limited set of control gates; offering identity opportunities to historically selected targets can raise retention rates on some seeds. This supports a coverage-and-opportunity diagnosis in specific models. It does not support blind discovery, full strong generalization, reflexive organization, phenomenal consciousness, or physical non-propagation. The paper also gives a sufficient condition for boundedness in an analytic model family, a convergence result for fixed structure, and counterexamples showing that positive task synergy implies neither state non-additivity nor topological specificity. v0.3 adds a post hoc structural decomposition of the archived synergy (Section 5.6): 423 of the 431 strong records (98.1%) are same-target pairs whose raw-weight effects are exactly additive and whose synergy is a threshold-crossing sum; the 8 records with genuine cross-identity interaction are about two orders of magnitude weaker. Scripts and per-record output are in case_study.zip. Unpublished discussion draft; not peer reviewed. Sections other than 5.6 are translated from the Chinese v0.2 draft.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23008588
Primary Topic
Opinion Dynamics and Social Influence
Type
preprint
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Functional Audit and Candidate-Coverage Diagnostics for Connection Dynamics

Yi Bei
Zenodo (CERN European Organization for Nuclear Research)
Opinion Dynamics and Social Influence
preprint

Functional Audit and Candidate-Coverage Diagnostics for Connection Dynamics

Yi Bei
preprint en

Abstract

Under frozen criteria and in artificial environments, some relation combinations pass an existence gate, a task-synergy gate, and a limited set of control gates; offering identity opportunities to historically selected targets can raise retention rates on some seeds. This supports a coverage-and-opportunity diagnosis in specific models. It does not support blind discovery, full strong generalization, reflexive organization, phenomenal consciousness, or physical non-propagation. The paper also gives a sufficient condition for boundedness in an analytic model family, a convergence result for fixed structure, and counterexamples showing that positive task synergy implies neither state non-additivity nor topological specificity. v0.3 adds a post hoc structural decomposition of the archived synergy (Section 5.6): 423 of the 431 strong records (98.1%) are same-target pairs whose raw-weight effects are exactly additive and whose synergy is a threshold-crossing sum; the 8 records with genuine cross-identity interaction are about two orders of magnitude weaker. Scripts and per-record output are in case_study.zip. Unpublished discussion draft; not peer reviewed. Sections other than 5.6 are translated from the Chinese v0.2 draft.

Zenodo (CERN European Organization for Nuclear Research)
Opinion Dynamics and Social Influence
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Functional Audit and Candidate-Coverage Diagnostics for Connection Dynamics — Yi Bei · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS