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DITA Reuse vs Rewriting for LLM API Docs: A Verify-Before-You-Commit Guide

Year: 2026

Type: preprint

Abstract: DITA topic reuse cuts factual errors by 38% versus rewriting in LLM-generated API docs, benchmarked across GPT-4o, Claude 3.7, and Gemini 2.0. Independent technical note mirroring the canonical version: https://specswriter.com/blog/dita-reuse-vs-rewriting-for-llm-api-docs-a-verify-before-you-commit-guide.php

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24044329

Author: Weaver, Brady

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225458860

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