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Research . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY NC ND
Data sources: Datacite
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A Structural Constraint Theory of Long-Horizon Systems: Understanding Structural Limits of Anticipatory Capacity and Long-Term Self-Correction

Authors: Liang, Kelun;

A Structural Constraint Theory of Long-Horizon Systems: Understanding Structural Limits of Anticipatory Capacity and Long-Term Self-Correction

Abstract

This record preserves the full-length version of the manuscript that was submitted to SSRN on 2026-02-24. A later revised version of this project has already been posted on Zenodo. However, that later version is more selective and does not include the full set of materials contained in the present manuscript. This upload is therefore retained as an archival full working-paper version. The paper develops Structural Constraint Theory (SCT) as a framework for analyzing why long-horizon systems often fail to sustain effective self-correction. It argues that long-run viability depends on the fidelity of recurrent corrective processes, including error detection, error naming, impact feedback, cost assessment, and meta-correction. The manuscript also includes extended appendices and exploratory formalizations that are not fully preserved in the later shortened version. This version should be understood as a working paper and historical snapshot rather than a final version of record. It may continue to evolve in future versions along the full-length working-paper line. Author: Kelun LiangAffiliation: Independent ResearcherLicense: CC BY-NC-ND 4.0

Keywords

system viability, Structural Constraint Theory, long-horizon systems, corrective fidelity, self-correction, governance, complex systems, civilizational systems

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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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