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This paper presents a reproducible pipeline for mapping CVEs to MITRE ATT&CK techniques using a curated gold dataset, and investigates the limits of using LLM-assisted labeling to expand training data, finding that LLM-generated labels do not reliably improve performance due to evaluation noise and label quality issues.