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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Zhu-Liang Singularity Cry Theorem}

朱梁-奇点啼哭定理
Authors: Zhu, Jianbing;

Zhu-Liang Singularity Cry Theorem}

Abstract

Within the framework of recursive meta-network theory, this paper proposes and proves the Zhu-Liang Singularity Cry Theorem. This theorem asserts that singularities in classical general relativity are not entropy‑divergent “explosions”, but rather “cries” with finite information release—a necessary consequence of the singularity recursive primitive \(\mathcal{S}\) under causality, self‑consistency, and entropy minimization. The theorem is established on three levels: first, we define the singularity recursive primitive and its metabolic product—the cry information \(\Icry\); second, we construct the cry entropy functional \(\Scry\) and prove that entropy minimization forces finite information release; finally, we reveal the recursive isomorphism between the cry, quantum tunneling, and biological birth, unifying them in the metabolic network of primitives. This theorem elevates singularity physics from “termination” to the inevitable manifestation of “renewal”.

Keywords

singularity; cry; recursive primitive; entropy minimization; quantum gravity; inevitability, singularity; cry; recursive primitive; entropy minimization; quantum gravity; causal self‑consistency; information conservation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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