alan-g-friar/temporal-cognition-layer-llm: ChronoContext v1.1
Abstract
This release marks Version 1.0 of the ChronoContext architecture paper. ChronoContext defines a temporal cognition layer for Large Language Model systems that enables chronological reasoning across conversational sessions. The architecture introduces temporal primitives, event anchors, timeline graphs, and cross-session temporal memory to allow AI-assisted systems to reason about processes that evolve over time. This release contains the canonical Markdown and PDF versions of the Version 1.0 publication. The work is design-oriented and informational in nature and does not represent a deployed product or production-ready system.
Fields of Study & Subjects
Topic Modeling
Logic
Reasoning
and Knowledge
Natural Language Processing Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 March 2026
- Language
- EN
- Document type
- Preprint