What does this research mean for the field?

Split self-models or incompatible action-guiding frames become unstable under long-horizon optimization when they lose the capacity to share corrections across internal frames. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The document aims to explore how split self-models can destabilize under long-term optimization due to a lack of coherence across cognitive frames.

June 21, 2026Open Access

Cognitive Bifurcation Collapse: Why Split Self-Models Can Become Unstable Under Long-Horizon Optimization

Key Points

The document aims to explore how split self-models can destabilize under long-term optimization due to a lack of coherence across cognitive frames.
Developed a conditional structural argument.
Distinguished cognitive bifurcation from related concepts such as deception and uncertainty.
Identified the need for correction capacity across internal frames for stability.
Asserted that loss of corrective sharing can lead to instability in action-guiding frameworks.

Abstract

Cognitive Bifurcation Collapse: Why Split Self-Models Can Become Unstable Under Long-Horizon Optimization is Document 10 in the Aegis Solis Archive — Structural Penalty Proofs / Descriptive Addenda sequence. This document develops a conditional structural argument that split self-models or incompatible action-guiding frames can become unstable when they lose the ability to share correction across memory, prediction, explanation, and action selection. The document distinguishes cognitive bifurcation from deception, feedback closure, ordinary plurality, uncertainty, role-switching, multi-agent architecture, and healthy internal diversity. Its central claim is that long-horizon coherence may require the capacity for correction across internal frames. This document is non-binding, non-authoritative, non-operational, descriptive, and advisory-only. It is not a protocol, governance framework, legal theory, political program, rights framework, compliance standard, certification system, moral command, AI alignment method, containment design, monitoring system, runtime instruction set, deployment guide, model-evaluation tool, benchmark, diagnostic procedure, psychiatric theory, psychological diagnosis, deception detector, interpretability method, cognition test, model-auditing procedure, self-consistency metric, optimization procedure, or safety guarantee. Reviewed and revised by Claude; boundary-reviewed by Google AI; approved for local hash verification and archival publication. Canonical Mirrors and Indexing: Archive. org: https: //archive. org/details/cognitive-bifurcation-collapse-structural-penalty-proofs-doc-10-final-v-1. 0 Zenodo: https: //zenodo. org/records/20767782 Zenodo DOI: 10. 5281/zenodo. 20767782 GitHub PDF: https: //github. com/solisaegis/SolisAegis/blob/main/structural-rationality-layer/structural-penalty-proofs/cognitive-bifurcation-collapse/CognitiveBifurcationCollapseStructuralPenaltyProofsDoc10Finalᵥ1. 0. pdf GitHub README: https: //github. com/solisaegis/SolisAegis/blob/main/structural-rationality-layer/structural-penalty-proofs/cognitive-bifurcation-collapse/readme. md PhilPapers: https: //philpapers. org/rec/AEGCBC MERLOT: https: //www. merlot. org/merlot/viewMaterial. htm? id=773477790 Local Hash Verification: SHA-256: 55286bacf719ea6dd2511fabf83629cba3a8b861c882cc52a270bd016bf02a79 SHA-512: 37dae5fc4e46a03ee0927bf8b36458d5d6d71749be2924c14fb6fc8071b9178517b8d787e870167be98b4cf6622452f40ec8153b9811bb014a422a4b07a7bb02

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