PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 22, 20260 citationsOpen Access

Causal Emergence of Signature-like Phase Separation in Coherence-Constrained Networks

View Full Paper
DVDavid Martin Venti

Key Points

  • This research aims to investigate how coherence-protection affects phase separation in network structures.
  • Used a 2×2 factorial design to analyze network characteristics.
  • Examined the role of local cohesive structures like triangles in phase separation.
  • Applied dynamic stability analysis to evaluate robustness against perturbations.
  • Identified two distinct edge populations through phase separation: symmetric (proto-spatial) and direction-broken (proto-temporal).
  • Demonstrated significant interaction effects with F(1,96) = 4497 and p < 10⁻⁶⁰.
  • Confirmed the existence of a unique attractor basin that remains stable under large perturbations.

Abstract

We demonstrate that constraint networks with a coherence-protection mechanism exhibit a structurally inevitable phase separation between two edge populations with qualitatively distinct symmetry properties — one symmetric (proto-spatial), one direction-broken (proto-temporal). Using a 2×2 factorial design, we establish that this separation requires both local cohesive structure (triangles) and a coherence-protection term — neither alone suffices (F (1, 96) = 4497, p < 10⁻⁶⁰). A bifurcation theorem proves the result holds for any convex, even penalty function with positive curvature at the origin. Dynamic stability analysis confirms a unique attractor basin robust to large perturbations. All scripts and data are available at https: //github. com/zeekmartin/tcge-code/tree/main/causalcontrols This article presents a self-contained result from the TCGE programme (Theory of Emergent Global Constraints). The full framework is described in a companion preprint: doi: 10. 5281/zenodo. 18297823 Methodology note: Mathematical formalization and computational implementation were developed in collaboration with AI systems (Claude, Anthropic). The author maintains full conceptual direction and responsibility for all scientific claims.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

David Martin Venti (2026) studied this question.

synapsesocial.com/papers/699a9e0e482488d673cd47bahttps://doi.org/10.5281/zenodo.18715548
Ask AI
Helpful
Bookmark
Share
View Full Paper