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      "statement": "# E5: consistency-filtered text pairs and weakly supervised embedding training\n\nCurated web-derived text pairs with consistency filtering, trained a shared mean-pooled encoder using contrastive learning and query/passage prefixes, and optionally fine-tuned with labeled data and teacher distillation.\n\n## Scientific scope\n\nUnlabeled-pair pretraining and supervised fine-tuning are separate evidence settings. Consistency filtering uses a previously trained model and is not an unbiased quality oracle. Benchmark comparisons are source-version snapshots, not current leaderboard or universal domain-transfer guarantees.\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\nLiang Wang; Nan Yang; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei\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- [Text Embeddings by Weakly-Supervised Contrastive Pre-training](https://arxiv.org/abs/2212.03533v1)\n",
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