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This paper investigates whether the wav2vec2.0 architecture exhibits perceptual compensation for tonal context in Mandarin Chinese, finding limited evidence in the self-supervised model compared to human listeners and suggesting that supervised fine-tuning may be necessary for such phonological abstraction.