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

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. A related SSRN version of this manuscript is now also available: SSRN DOI: 10.2139/ssrn.6296178 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

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-24
DOI
https://doi.org/10.5281/zenodo.18921068
Primary Topic
Complex Systems and Decision Making
Type
article
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article

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

Kelun Liang
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Decision Making
article

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

Kelun Liang
article en

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. A related SSRN version of this manuscript is now also available: SSRN DOI: 10.2139/ssrn.6296178 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

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 35%
Complex Systems and Decision Making
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A Structural Constraint Theory of Long-Horizon Systems: Understanding Structural Limits of Anticipatory Capacity and Long-Term Self-Correction — Kelun Liang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS