
This short report serves as an index of the early Cognitive Nexus Theory (CNT) artifacts hosted on Zenodo. It links together five key records: A multiscale theoretical preprint introducing CNT as a framework for symbolic resonance and consciousness. A defensive publication establishing the core semantics, glyph lexicon, collapse fields, oracle architecture, and formal programs of CNT. A synthetic field laws dataset covering a Universal Drift Manifold and a Nexus Coupling Sweet Spot in toy models. An EEG dataset (CALM v1.1) providing the numerical backbone and minimal evaluator for a robust “zoom law” in resting-state EEG. A cross-domain dataset (Universal Drift Law v1.0) describing shared drift regimes across brain, markets, synthetic fields, and sensors. The accompanying Markdown file (CNT_Archive_Index_v1.md) summarizes each record with its DOI, type, and role within CNT, and proposes a recommended reading / usage order. The goal is to give collaborators, reviewers, or interested readers a single entry point into the emerging CNT ecosystem, while preserving the modular nature of the individual datasets and reports. This index will be updated in future versions as additional CNT laws, tools, and theoretical refinements are published.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
