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Find similar grantsFood4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata is sponsored by Academic Research Initiative. This opportunity supports mission-aligned projects and measurable outcomes.
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[2510.
18289] Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata Computer Science > Computation and Language This paper has been withdrawn by Zhengqing Yuan [Submitted on 21 Oct 2025 ( v1 ), last revised 27 Apr 2026 (this version, v2)] Title: Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata Authors: Zhengqing Yuan , Yiyang Li , Weixiang Sun , Zheyuan Zhang , Kaiwen Shi , Keerthiram Murugesan , Yanfang Ye View a PDF of the paper titled Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata, by Zhengqing Yuan and 6 other authors No PDF available, click to view other formats This paper is withdrawn because parts of the Method section are inconsistent with the actual implementation and code.
Specifically, some components of the described multi-agent workflow and nutritional-metadata integration were not implemented as stated. We withdraw this version to avoid misleading readers Computation and Language (cs. CL) ; Computers and Society (cs.
CY); Multiagent Systems (cs. MA) arXiv:2510. 18289v2 [cs.
CL] for this version) https://doi. org/10. 48550/arXiv.
2510.
18289 arXiv-issued DOI via DataCite From: Zhengqing Yuan [ view email ] Tue, 21 Oct 2025 04:35:02 UTC (908 KB) Mon, 27 Apr 2026 02:43:34 UTC (1 KB) (withdrawn) View a PDF of the paper titled Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata, by Zhengqing Yuan and 6 other authors No license for this version due to withdrawn BibTeX formatted citation Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer?
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Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata is funded by Academic Research Initiative. Verify program details on the funder's official page before applying.
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