PeterSalvato/semantic-hierarchy: Semantic Flattening and the Case for Human-Marked Importance in AI Memory

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Authors: Peter Salvato
Cited by: 0

Abstract

AI memory systems determine importance computationally. This paper argues that semantic importance is a relationship between content and intent, not a property of content alone. Presents Savepoint Syntax as human-marked semantic hierarchy.

Fields of Study & Subjects

Cognitive Computing and Networks Information Retrieval and Search Behavior AI-based Problem Solving and Planning

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN