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Paper

Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data Catalogs

Published 16 Sept 2026arXiv:2609.10430

data quality84

Updated 9 h ago · first seen 17 Sept 2026

paper_01M2RME12R2ZG3RGSSJZ24BEH5

Abstract

Enterprise data lakes accumulate tables faster than human stewards can document or classify them, leaving columns with missing descriptions and unassigned governance labels. This documentation debt undermines data discovery, access control, and regulatory compliance. We present Glyph, a production system that frames two coupled problems, column description generation and column type annotation for data classification, as cooperating LLM agents orchestrated as stateful graphs. The Descriptor grounds generation in the pipeline source code that produces each column, retrieved on demand from an…

Authors

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Kostia KudriavtsevParvez RafiSha Sundaram

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Source documents
SourceDocumentTypeTierLast observedSnapshots
Apple Machine Learning Researchmachinelearning.apple.com/research/glyph-column-description-tagging paper_pageT1· Official9 h ago1
Apple Machine Learning Researchmachinelearning.apple.com/rss.xml feedT1· Official9 h ago2

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