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      "statement": "# RetroMAE: asymmetric masked reconstruction for retrieval-oriented encoders\n\nEncoded moderately masked text into a sentence vector and reconstructed from a more heavily masked input with a lightweight decoder, adding position-specific decoding for denser training signals.\n\n## Scientific scope\n\nReconstruction also uses visible token context, not the sentence vector alone; it is not a lossless text-compression guarantee. Masked autoencoding, two-stream/position masks and pretrained Transformers are inherited. Original affiliations include Huawei and BUPT, with a prior-Microsoft work note, not retrospective BAAI authorship.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nZheng Liu; Yingxia Shao\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder](https://arxiv.org/abs/2205.12035v1)\n",
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