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This paper establishes a reproducible multi-architecture baseline for token-level Chinese metaphor identification using the MIPVU framework and the PSU Chinese Metaphor Corpus. It compares encoder models like RoBERTa and MelBERT against the Qwen3.5-9B generative model, releasing code and data to facilitate future research.