{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T13:09:49Z","timestamp":1778332189729,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819203772","type":"print"},{"value":"9789819203789","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-92-0378-9_31","type":"book-chapter","created":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T12:21:14Z","timestamp":1778329274000},"page":"502-514","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CRAG: Causality-Aware Retrieval-Augmented Generation for Budget Auditing QA"],"prefix":"10.1007","author":[{"given":"Gaofeng","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guilin","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolong","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songlin","family":"Zhai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongrui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenwen","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,10]]},"reference":[{"issue":"3","key":"31_CR1","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1080\/09540962.2022.2129559","volume":"43","author":"L Ferry","year":"2023","unstructured":"Ferry, L., Midgley, H., Ruggiero, P.: Regulatory space in local government audit: an international comparative study of 20 countries. Public Money Manag. 43(3), 233\u2013241 (2023)","journal-title":"Public Money Manag."},{"key":"31_CR2","unstructured":"Gao, Y., Xiong, Y., Zhong, Y., Bi, Y., Xue, M., Wang, H.: Synergizing rag and reasoning: a systematic review. arXiv:2504.15909 (2025)"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Shao, Z., et al.: Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy. In: Findings EMNLP, pp. 9248\u20139274 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.620"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Lee, M., An, S., Kim, M.: PlanRag: a plan-then-retrieval augmented generation for generative large language models as decision makers. In: Proceedings of NAACL, pp. 6537\u20136555 (2024)","DOI":"10.18653\/v1\/2024.naacl-long.364"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Jeong, S., Baek, J., Cho, S., Hwang, S.., Park, J.C.: Adaptive-rag: learning to adapt retrieval-augmented large language models through question complexity. In: Proceedings of NAACL, pp. 7029\u20137043 (2024)","DOI":"10.18653\/v1\/2024.naacl-long.389"},{"key":"31_CR6","volume-title":"Self-RAG: Learning to Retrieve, Generate, and Critique Through Self-reflection","author":"A Asai","year":"2024","unstructured":"Asai, A., Zeqiu, W., Wang, Y., Sil, A., Hajishirzi, H.: Self-RAG: Learning to Retrieve, Generate, and Critique Through Self-reflection. In Proc, ICLR (2024)"},{"key":"31_CR7","unstructured":"Xiong, G., et al.: RAG-Gym: optimizing reasoning and search agents with process supervision. arXiv:2502.13957, 2025"},{"key":"31_CR8","unstructured":"Lee, Z., et al.: ReaRAG: knowledge-guided reasoning enhances factuality of large reasoning models with iterative retrieval augmented generation. arXiv:2503.21729 (2025)"},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Mohole, S., et al.: VeriRAG: healthcare claim verification via statistical audit in retrieval-augmented generation. arXiv:2507.17948 (2025)","DOI":"10.1145\/3765612.3767788"},{"key":"31_CR10","unstructured":"Yang, A., et al.: Qwen3 technical report. arXiv:2505.09388 (2025)"},{"key":"31_CR11","unstructured":"Guo, D., et al.: DeepSeek-R1: incentivizing reasoning capability in LLMs via reinforcement learning. arXiv:2501.12948 (2025)"},{"key":"31_CR12","unstructured":"GLM, T., et al.: ChatGLM: a family of large language models from GLM-130B to GLM-4 all tools. arXiv:2406.12793 (2024)"},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Mallen, A., Asai, A., Zhong, V., Das, R., Khashabi, D., Hajishirzi, H.: When not to trust language models: investigating effectiveness of parametric and non-parametric memories. In: Proceedings of ACL, pp. 9802\u20139822 (2023)","DOI":"10.18653\/v1\/2023.acl-long.546"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Baek, J., Jeong, S., Kang, M., Park, J.C., Hwang, S.: Knowledge-augmented language model verification. In: Proceedings of EMNLP, pp. 1720\u20131736 (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.107"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-0378-9_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T12:21:18Z","timestamp":1778329278000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-0378-9_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819203772","9789819203789"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-0378-9_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"10 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 April 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2026.github.io\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}