{"as_of":"2026-08-17T00:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4dc08bec777f2769d1f2ef331b8de6425e307cafdda165f40d1a9be91ad48ca2","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:30:36.919297Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.04820/citation-record","integrity":"/paper/2509.04820/integrity","json":"/paper/2509.04820/citation-record.json","paper":"/paper/2509.04820"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-15T16:30:36.734792Z","title":"Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, and 1 oth- ers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.734792Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:61ae2dddf095a67b2fcb06240bbb464cf2ffe711341a9b11b90b8c13d9193ede","observation_id":"4fbcfb42-53e3-4172-aac3-e292366d7b4f","resolution":{"observed_at":"2026-08-15T16:30:36.734792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00223","last_updated":"2025-04-12T03:17:26Z","snapshot_observed_at":"2026-08-16T12:54:07.632961Z","submitted_at":"2025-02-28T22:16:42Z","title":"DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00223","snapshot_observed_at":"2026-08-15T16:30:36.849031Z","title":"Bowen Jin, Hansi Zeng, Zhenrui Yue, Jinsung Yoon, Sercan Arik, Dong Wang, Hamed Zamani, and Jiawei Han","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.849031Z"},"links":{"cited_paper":"/paper/2503.00223","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:507b63c45ee0a789157003761de18668314cd2c3ee90899e4be76e52effa484e","observation_id":"48412180-b15a-4344-b498-059962a9d84f","resolution":{"observed_at":"2026-08-15T16:30:36.849031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10446","last_updated":"2024-03-15T16:30:14Z","snapshot_observed_at":"2026-08-16T14:09:23.490734Z","submitted_at":"2024-03-15T16:30:14Z","title":"Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10446","snapshot_observed_at":"2026-08-15T16:30:36.859240Z","title":"Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, and Zhicheng Dou","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.859240Z"},"links":{"cited_paper":"/paper/2403.10446","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:fa83b633cb29cf27b65e0ee83a0ea5214f0596a431443a898567787804745a28","observation_id":"08b143a1-89dd-4d9a-97b7-8654b245872d","resolution":{"observed_at":"2026-08-15T16:30:36.859240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10408","last_updated":"2025-06-12T07:01:56Z","snapshot_observed_at":"2026-08-09T17:34:32.242783Z","submitted_at":"2025-06-12T07:01:56Z","title":"Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.10408","snapshot_observed_at":"2026-08-15T16:30:36.863963Z","title":"Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Ja- cob Kahn, Gergely Szilvasy, Mike Lewis, and 1 oth- ers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.863963Z"},"links":{"cited_paper":"/paper/2506.10408","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:33dc2bb791282dd52f4e3d9f4ff4504b6f17ba8125e5d738cec731fee35cd559","observation_id":"ae7d1827-d86b-4377-a424-0fa299bbd59e","resolution":{"observed_at":"2026-08-15T16:30:36.863963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:30:37.195399Z","title":"InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5303–5315","venue":null,"work_id":"72a69379-54e5-4159-9e00-93803efc9fb8","year":2023},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.869229Z"},"links":{"citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:399564a93dbc21d34dc2cb36887951d92b25f53d2442ecac607c4db144cd2483","observation_id":"44a60c0b-eec8-4180-9637-3a8565b3f958","resolution":{"observed_at":"2026-08-15T16:30:37.199919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03350","last_updated":"2023-10-17T18:57:17Z","snapshot_observed_at":"2026-08-15T17:25:43.175408Z","submitted_at":"2022-10-07T06:50:23Z","title":"Measuring and Narrowing the Compositionality Gap in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03350","snapshot_observed_at":"2026-08-15T16:30:36.873506Z","title":"Chidaksh Ravuru, Sagar Srinivas Sakhinana, and Venkataramana Runkana","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.873506Z"},"links":{"cited_paper":"/paper/2210.03350","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:f22adf6c9c4b3b9f879632d188440fb318a3fe9a1c73b7aa867c113f3c3411cd","observation_id":"a1376a10-658a-46ae-8e79-ee179a816022","resolution":{"observed_at":"2026-08-15T16:30:36.873506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14484","last_updated":"2024-08-18T11:47:55Z","snapshot_observed_at":"2026-08-16T13:25:44.920616Z","submitted_at":"2024-08-18T11:47:55Z","title":"Agentic Retrieval-Augmented Generation for Time Series Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14484","snapshot_observed_at":"2026-08-15T16:30:36.877861Z","title":"Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, SM_Towhidul Islam Tonmoy, Aman Chadha, Amit Sheth, and Amitava Das","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.877861Z"},"links":{"cited_paper":"/paper/2408.14484","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:2f5c44084365fa0476d5b2531737bd8b3b7a2934c8ebf7b4b3eba4825bc2668b","observation_id":"2ed24a9a-ff49-435e-9c2b-3bfff8d1c988","resolution":{"observed_at":"2026-08-15T16:30:36.877861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:30:37.181001Z","title":"InNeurIPS 2023 Foundation Models for Decision Making Workshop","venue":null,"work_id":"96555ec6-1545-43db-a5c6-e928806adadc","year":2023},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.882359Z"},"links":{"citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:90f9d73a85f63e8febffd44ddf7e6a79a0185080041949cad744fb50cb9aec88","observation_id":"7d6d30de-f5d6-4f14-9029-d6beeaf80406","resolution":{"observed_at":"2026-08-15T16:30:37.185647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04644","last_updated":"2025-07-14T20:06:23Z","snapshot_observed_at":"2026-08-12T17:37:05.160293Z","submitted_at":"2025-02-07T04:08:46Z","title":"Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04644","snapshot_observed_at":"2026-08-15T16:30:36.887177Z","title":"An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, and 1 others","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.887177Z"},"links":{"cited_paper":"/paper/2502.04644","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:d6a7ac431d22e6fbf7cd9e7082c57194db1f6b80186cf2a9ad958f90729e762c","observation_id":"9a0b2383-2388-442b-aeb1-0e74c11f16c1","resolution":{"observed_at":"2026-08-15T16:30:36.887177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-15T16:30:36.891905Z","title":"Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, and 1 others","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.891905Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:aae2fdde472457db1bbabd80e25e9ee69adacf467292c7541c37da8a3f5f1fa5","observation_id":"4b32bdfc-2478-4ebd-9107-fe6b64929f11","resolution":{"observed_at":"2026-08-15T16:30:36.891905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01219","last_updated":"2025-09-14T09:34:46Z","snapshot_observed_at":"2026-08-16T12:38:46.158503Z","submitted_at":"2023-09-03T16:56:48Z","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01219","snapshot_observed_at":"2026-08-15T16:30:36.896374Z","title":"Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhen- gren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Jie Jiang, and Bin Cui","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.896374Z"},"links":{"cited_paper":"/paper/2309.01219","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:1a0530060f163482fde737904467ccedd1cd1fe7b60b81eed4a9d27cc47f0ea2","observation_id":"4d54f37d-abb5-4afc-9d40-396cf4ad6d62","resolution":{"observed_at":"2026-08-15T16:30:36.896374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19473","last_updated":"2024-06-21T08:26:36Z","snapshot_observed_at":"2026-08-13T05:27:55.126585Z","submitted_at":"2024-02-29T18:59:01Z","title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19473","snapshot_observed_at":"2026-08-15T16:30:36.901061Z","title":"Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, and 1 others","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.901061Z"},"links":{"cited_paper":"/paper/2402.19473","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:12c4ae95804430d917964c892b2f521163fdef606ebeb1fa34a848430cdc7def","observation_id":"ecd50149-ece8-421e-be5e-383028e1932c","resolution":{"observed_at":"2026-08-15T16:30:36.901061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-14T10:40:26.323157Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-15T16:30:36.905704Z","title":"Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, and Pengfei Liu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.905704Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:0ac915afcf233c7941ccca8f1cad8aae1b2f60f6fc8ba7cffd9376c4ab1d521f","observation_id":"465ac0f5-8001-4c2b-957c-032f4132df50","resolution":{"observed_at":"2026-08-15T16:30:36.905704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03160","last_updated":"2025-04-17T04:46:08Z","snapshot_observed_at":"2026-08-16T20:41:16.782304Z","submitted_at":"2025-04-04T04:41:28Z","title":"DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03160","snapshot_observed_at":"2026-08-15T16:30:36.910064Z","title":"Yizhang Zhu, Shiyin Du, Boyan Li, Yuyu Luo, and Nan Tang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.910064Z"},"links":{"cited_paper":"/paper/2504.03160","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:2a0a2693fc4c09b273beccbcea0b58daaa14814d52b0bf16ad9f5f52f6aa7b6d","observation_id":"ab969a23-dc6e-4d89-aa2d-f1aadbbe190e","resolution":{"observed_at":"2026-08-15T16:30:36.910064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07815","last_updated":"2024-10-10T06:01:10Z","snapshot_observed_at":"2026-08-16T13:43:56.911063Z","submitted_at":"2024-06-12T02:23:51Z","title":"Are Large Language Models Good Statisticians?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07815","snapshot_observed_at":"2026-08-15T16:30:36.914455Z","title":"I have been away from my previous company for 3 years. Can I still re- cover my housing provident fund contributions?","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.914455Z"},"links":{"cited_paper":"/paper/2406.07815","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:558e6a683d96fe2f6c9d819b823c455251594890bf53dc5ad34da27b5a6d1ee9","observation_id":"246ce947-778e-4509-8435-57e11d8d7785","resolution":{"observed_at":"2026-08-15T16:30:36.914455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:30:37.164567Z","title":"Resulting Error:Without the correct chunk, the model provided an incorrect answer based on incomplete information","venue":null,"work_id":"7293a8fc-0a63-4983-86af-ceb1bae02fa9","year":2023},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.919297Z"},"links":{"citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:54e44a07651cc3ce200b53e7d457fceceaf76b6bd556ebe547bbd4eb0673e84d","observation_id":"678ebebf-41db-40a8-9bd4-d76f740db04e","resolution":{"observed_at":"2026-08-15T16:30:37.171099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-15T16:30:36.729853Z","title":"arXiv preprint arXiv:2312.10997, 2:1","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.729853Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:5057f65c7e0da2d5c6bfe5ab21092a85b4195b03dea756c25ad03e25a124de34","observation_id":"9bcce76d-4f05-46c1-9ae3-d8a0547200a8","resolution":{"observed_at":"2026-08-15T16:30:36.729853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:30:37.210000Z","title":"InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 371–385","venue":null,"work_id":"91f675e8-c87d-4c7a-b555-35f2530ee683","year":2024},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.854538Z"},"links":{"citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:b21fb7b4f7bd689169d2591e7d32057fd468bbb6cf0d703ef92d891b4bb0d9c8","observation_id":"ae97a162-eb09-446d-906a-adc1b759571a","resolution":{"observed_at":"2026-08-15T16:30:37.214634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11001","last_updated":"2025-04-15T09:18:21Z","snapshot_observed_at":"2026-08-16T12:40:59.446268Z","submitted_at":"2025-04-15T09:18:21Z","title":"ReZero: Enhancing LLM search ability by trying one-more-time","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11001","snapshot_observed_at":"2026-08-15T16:30:36.724744Z","title":"Atty Eleti, Jeff Harris, and Logan Kilpatrick","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-15T16:30:36.724744Z"},"links":{"cited_paper":"/paper/2504.11001","citing_paper":"/paper/2509.04820"},"observation_digest":"sha256:0560231f3f1927ffb6d41a1fde4c899c5b22378a82dc396ab5edcf61c9e142e3","observation_id":"59a65385-e55d-4242-8edf-f9df31401340","resolution":{"observed_at":"2026-08-15T16:30:36.724744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.04820","last_updated":"2025-09-05T05:44:50Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T21:48:09.051282Z","submitted_at":"2025-09-05T05:44:50Z","title":"Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":19},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.04820."}