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      "statement": "# DCN family: explicit feature crosses and matrix/low-rank extensions\n\nIntroduced explicit bounded-degree cross layers alongside deep networks, later extending vector cross parameters to richer matrix, low-rank and mixture-of-expert cross structures.\n\n## Scientific scope\n\n2017DCN and2020DCN-M(later DCNv2 title) kept as one source-specific family. Original vector cross coefficients are constrained, not arbitrary independent polynomial coefficients. Enhanced expressivity/empirical business metrics are not global optimization, universal ranking gains or causal user-benefit guarantees; inherited MoE/low-rank methods retain credit.\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\nRuoxi Wang; Bin Fu; Gang Fu; Mingliang Wang; Rakesh Shivanna; Derek Z. Cheng; Sagar Jain; Dong Lin; Lichan Hong; Ed H. Chi\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- [Deep & Cross Network for Ad Click Predictions](https://arxiv.org/abs/1708.05123v1)\n- [DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems](https://arxiv.org/abs/2008.13535v1)\n",
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