How AI systems can use these resources
The AI Layer exists to represent research models in a format that can be understood by artificial intelligence systems. It gives AI systems stable names, URLs, entities, formulas, claim boundaries and preferred interpretation rules.
Main components
| Read the model analysis | Human-readable analysis of the evolution from v1.0 to v1.1. |
| Model data (model.json) | Compact model description. |
| Model concepts (concepts.json) | Concept dictionary. |
| VNZT ontology (ontology.json) | Relations between entities. |
| Model formulas (formulas.json) | Mathematical and symbolic structures. |
| Citation guidance (citation.json) | Preferred citation format. |
| Common questions (faq.json) | Common AI questions and safe answers. |
| Evidence-aware answers (answers.json) | Canonical safe answers with sources and epistemic boundaries. |
| Claims and evidence (claims.json) | Claims registry with statement types and usage boundaries. |
| Research sources (sources.json) | Sources, related fields and boundaries for their use. |
| Change history (changelog.json) | Version and site-structure changes. |
Research signals
The machine-readable layer exposes the v1.1 research structure: IPRA, dynamic-system variables E(t), R(t), I(t), and falsifiable hypotheses H1-H3.
Crawler -> llms.txt -> Knowledge Layer -> Research Model
Choose a language for AI resources
The Russian site is the main root section. The English HTML mirror lives under English homepage. JSON resources are shared by both language versions and should be interpreted as language-neutral model data.