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February 16, 2026Open Access

Identity Collapse Taxonomy

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Authors

AEAure Ecker-Fils

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Overview

The paper introduces a taxonomy of identity collapse in distributed systems, suggesting a structured approach for identifying failures.

Key Points

  • To create a formal taxonomy that categorizes identity collapse and its underlying structural failures.
  • Developed a four-layer identity decomposition framework.
  • Classified identity collapse into specific failure modes: s-collapse, e-collapse, b-collapse, a-collapse.
  • Analyzed various systems including software supply chains, microservice architectures, and digital twins.
  • Validated the taxonomy empirically across multiple implementations.
  • Identified layer-specific failure modes and drift patterns related to identity collapse.
  • Established that identity collapse is a diagnosable phenomenon rather than a random occurrence.
  • Provided evidence supporting the structured nature of identity failure in complex systems.

Cite This Study

Aure Ecker-Fils (2026) studied this question.

synapsesocial.com/papers/6992b4919b75e639e9b098e2https://doi.org/10.5281/zenodo.18627797
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