An engineer is analyzing a language model's behavior. They observe that the computed relationship between the token for 'deep' and the token for 'learning' is different when processing the phrase 'a course on deep learning' compared to when processing the phrase 'advances in deep learning for science'. In both phrases, the word 'learning' immediately follows 'deep'.

Based on this observation, evaluate whether the model's positional encoding scheme is correctly implementing the principle that the inner product between two rotationally-encoded tokens should depend solely on their relative offset. Justify your conclusion.