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A large-scale audit of ACL papers from 2018-2025 reveals that key annotation details (training, language proficiency, compensation, etc.) are often missing, threatening reproducibility. The authors propose a unified taxonomy and an LLM-assisted extraction pipeline evaluated on 2,667 annotation tasks.