CNS / GCTS Guides & Tutorials | Chiral Narrative Synthesis Research

Chiral Narrative Synthesis (CNS) is a research line for making sense of incomplete, uncertain, and contradictory information. The current framework is CNS 7.1 / GCTS: Grounded Chiral Tensor Synthesis, which ranks likely truth across structured possible worlds while modeling evidence, record access, missingness, source incentives, and uncertainty.

Current framework: Start with CNS 7.1 / GCTS: Grounded Chiral Tensor Synthesis. The older CNS 2.0 blueprint remains available as historical prior work.

This section contains current GCTS material plus older CNS 2.0 educational guides and tutorials.

Available Guides

• CNS 7.1 / GCTS: Grounded Chiral Tensor Synthesis: The current access-aware likely-truth framework built around evidence atoms, record-access states, possible worlds, chirality, and oracle-boundary discipline.
• Building CNS 2.0: A Developer’s Guide: A progressive, hands-on guide to implementing the entire Chiral Narrative Synthesis 2.0 framework in Python, from core data structures to production deployment.
• CNS 2.0 Research Roadmap: A Multi-Year Vision: Details the comprehensive, multi-faceted research program to develop, validate, and responsibly deploy the CNS framework, including plans for peer-reviewed publication.
• Tutorials: Practical, step-by-step walkthroughs of key CNS 2.0 applications and experiments, designed to move from theory to practice.