alan-g-friar/temporal-cognition-layer-llm: ChronoContext v1.1

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Authors: Alan Gonzaga Friar
Cited by: 0

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