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March 23, 20260 citationsOpen Access

Priority Statement for Substrate-Rooted Identity, Interpretive Geometry, and Collapse Theory

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AEAure Ecker-Fils

Key Points

  • This research aims to establish foundational ontology and concepts for identity and collapse in AI systems.
  • Defines substrate-rooted identity and interpretive geometry frameworks
  • Introduces new mathematical models for analyzing stability in AI systems
  • Consolidates terminology and conceptual lineage from prior research
  • Provides a complete framework for identity in AI systems
  • Establishes predictive collapse modes and measures for drift
  • Introduces new theories for stability in multi-agent and cyber-physical systems

Abstract

This Priority Statement defines the foundational ontology, terminology, and conceptual lineage of substrate‑rooted identity and interpretive geometry, a unified theoretical framework for identity, drift, provenance, and collapse in modern AI systems. It consolidates the doctrinal architecture introduced across the 2026 Zenodo corpus, including the Four‑Layer Identity Decomposition (s, e, b, a), the Axioms for Identity Preservation, the Engram identity primitives, execution‑rooted provenance, interpretive drift geometry, and the geometric theory of multi‑agent systems. The field provides the first complete account of identity as an execution‑realized, drift‑bounded, and temporally coherent construct, replacing configuration‑based identity models with a layered ontology grounded in substrate, execution, behavioral structure, and attestation. It introduces predictive collapse modes, Lyapunov‑based drift measures, curvature‑driven divergence, cross‑agent coupling tensors, and the collapse‑risk functional, offering a unified mathematical and conceptual foundation for analyzing stability in LLMs, agentic AI systems, cyber‑physical systems, and distributed computational architectures. This Priority Statement establishes conceptual precedence, stabilizes terminology, and provides a canonical citation anchor for research in AI identity, provenance, interpretive drift, multi‑agent stability, AI safety, and governance. It is intended for researchers working on AI systems, LLMs, multi‑agent architectures, provenance integrity, execution‑rooted identity, and collapse‑aware governance.

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Cite This Study

Aure Ecker-Fils (2026) studied this question.

synapsesocial.com/papers/69c08b9fa48f6b84677f90a9https://doi.org/10.5281/zenodo.19145498
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Priority Statement for Substrate-Rooted Identity, Interpretive Geometry, and Collapse Theory2026
  2. 2Identity Doctrine: Ontology, Axioms, Collapse, and Human Interpretation2026
  3. 3The Geometry of Execution: Identity, Continuity, and Collapse Across Computational Substrates2026
  4. 4Execution-Rooted Identity: A Formal System for Identity, Collapse, and Governance2026
  5. 5The Four-Layer Identity Decomposition: A Substrate-Rooted Ontology for Execution-Realized Identity2026