NFKS: A Domain-Independent Framework for System Recoverability and Irreversibility

The dataset provides a domain-independent structural abstraction for modeling system evolution relative to recoverability and irreversibility boundaries. It includes canonical structural representations, structured JSON definitions of entities and transitions, a formal paper with mathematical interpretation, and system diagrams. The framework enables cross-domain interpretation across mathematics, physics, computer science, systems theory, law, economics, and artificial intelligence.

Use Cases

• Modeling irreversibility thresholds in dynamical systems based on the provided structural representation and formula for effective recoverability (r_eff = r − λ·d − μ·h)
• Cross-domain analysis of system failure dynamics based on the neutral structural representations of entities, events, constraints, and state transitions
• Developing reference implementations for recoverability-centered architectures based on the included structured JSON definitions and system diagrams
• Formalizing observability and boundary detection in complex systems based on the framework's representation of hidden instability and detection delay

Strengths

• Includes multiple formal representations: canonical structural segments (S1–S5), structured JSON definitions, a PDF paper, and system diagrams
• Provides a specific mathematical model for effective recoverability and irreversibility, enabling quantitative analysis
• Released under a permissive CC-BY-4.0 license, facilitating reuse and modification

Limitations

• Column names and row counts are unknown, limiting understanding of the dataset's internal structure
• The reference implementation is described as non-operational
• Metadata completeness is medium; key structural details like data volume are inferred from descriptions

Provenance

Source

Noelia Sanchez

Freshness

2026-03-26 14:53:28