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      "statement": "# DataComp: fixed-recipe multimodal dataset experiments\n\nProvided candidate image-text pools, fixed CLIP training/evaluation recipes and compute-scaled tracks, with DataComp-1B demonstrating the importance of filtering under controlled training conditions.\n\n## Scientific scope\n\nInherits CLIP and web-pair collection rather than inventing them. Ninefold compute comparison involves a larger LAION-trained architecture; not a universally hardware-matched data-only speedup. Fixed test suites do not guarantee uncontaminated or universal real-world generalization.\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\nSamir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang; Eyal Orgad; Rahim Entezari; Giannis Daras; Sarah Pratt; Vivek Ramanujan; Yonatan Bitton; Kalyani Marathe; Stephen Mussmann; Richard Vencu; Mehdi Cherti; Ranjay Krishna; Pang Wei Koh; Olga Saukh; Alexander Ratner; Shuran Song; Hannaneh Hajishirzi; Ali Farhadi; Romain Beaumont; Sewoong Oh; Alexandros G. Dimakis; Jenia Jitsev; Yair Carmon; Vaishaal Shankar; Ludwig Schmidt\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- [DataComp: In search of the next generation of multimodal datasets](https://arxiv.org/abs/2304.14108v1)\n",
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    "evidence_summary": "The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits CLIP and web-pair collection rather than inventing them. Ninefold compute comparison involves a larger LAION-trained architecture; not a universally hardware-matched data-only speedup. Fixed test suites do not guarantee uncontaminated or universal real-world generalization.",
    "references": [
      {
        "title": "DataComp: In search of the next generation of multimodal datasets",
        "url": "https://arxiv.org/abs/2304.14108v1",
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