Multi-Dimensional Information Indexing A Framework for Context-Preserving Knowledge Management Traditional information management treats knowledge as static truth claims that must be accepted or rejected. This paper documents an alternative framework observed in expert practice: multi-dimensional indexing that preserves source, temporal, contextual, and intentional metadata alongside content. Package Contents:* `manuscript.md`: Paper* `README.md`: Overview **Status:** Architectural Blueprint for Independent Implementation
Geoffrey Howland (Sun,) studied this question.