{"as_of":"2026-08-17T14:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1ff906d02db5014667face3ec10782d64b899f4ef5583a9677c8d74f3ae79e7","coverage":[{"denominator":72,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":72,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:44:52.139598Z","state":"measured"},{"denominator":72,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":72,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2504.17334/citation-record","integrity":"/paper/2504.17334/integrity","json":"/paper/2504.17334/citation-record.json","paper":"/paper/2504.17334"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.313088Z","title":null,"venue":null,"work_id":"8b61c595-43c5-496b-98a2-54702749a329","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.813116Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:b5e80beb8801158fdf1ac4d5ffc973f1604aa5f9a8e558c9c547adac2a8f6de7","observation_id":"2d3fe859-9bb4-411f-92b8-9ae4afcb07a0","resolution":{"observed_at":"2026-08-16T10:44:53.317164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.299958Z","title":null,"venue":null,"work_id":"adc2b8bd-2215-4338-bf7f-fb8d96e44a9f","year":2007},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.818048Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:605a5376514b09fbbd196376756d33db86b28b9b472d5ec502eb6cc7ba075d9a","observation_id":"482f4956-f0ee-41c6-ac38-31237a803ba2","resolution":{"observed_at":"2026-08-16T10:44:53.304110Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.287189Z","title":null,"venue":null,"work_id":"8860e038-bb84-48c6-be16-40262413933d","year":2019},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.822468Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:8009ed96250f282abac800c8250b228dc3eeb9c64337a4decb89b97ec527a652","observation_id":"d19587cb-ce26-442f-80cc-139b190be1d1","resolution":{"observed_at":"2026-08-16T10:44:53.291107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.273642Z","title":null,"venue":null,"work_id":"d3d57bc5-6b6d-4b16-a509-8d6a57766c00","year":2022},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.826562Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:aae56496af771f7e0fdf2ad60be2ca05f4ac104133f3a5f0a97065fe7e156a0f","observation_id":"ca23e734-8ee1-4385-8335-c93e574f0444","resolution":{"observed_at":"2026-08-16T10:44:53.278079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.260168Z","title":null,"venue":null,"work_id":"0273bbcc-c14f-48c8-96ad-921345c8814c","year":2020},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.831432Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:bb13f7c5d641124e465cc2e66c91716e05495334513fd58533d83b832cc92a26","observation_id":"1b80e13f-8bcd-4d30-9bd6-9e525f1799e8","resolution":{"observed_at":"2026-08-16T10:44:53.264337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.246527Z","title":null,"venue":null,"work_id":"14bc7d47-5ca2-41d1-a815-6a78edcfae89","year":2016},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.835634Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:70af2b28140c5beb32519e1a77d65a89d9422d18d4416fe54d775f1b00f7ac1b","observation_id":"f8ce1a99-d4ba-4663-9ba8-1e44dd8d1ecf","resolution":{"observed_at":"2026-08-16T10:44:53.250663Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.232822Z","title":null,"venue":null,"work_id":"255f6a08-775e-4167-be94-7a7e696af54c","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.840121Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:4cb4a80ce5c4d24cb07ddc47aa12fe18422923b230fced37160a69fe280ef6e8","observation_id":"73b6d6e7-c97e-4e9d-9939-c799d39a2d55","resolution":{"observed_at":"2026-08-16T10:44:53.237237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15038","last_updated":"2023-10-23T02:10:58Z","snapshot_observed_at":"2026-08-16T15:30:12.813361Z","submitted_at":"2023-05-24T11:26:59Z","title":"Is GPT-4 a Good Data Analyst?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15038","snapshot_observed_at":"2026-08-16T10:44:51.844139Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.844139Z"},"links":{"cited_paper":"/paper/2305.15038","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:86f5ae3af0afee4a53739eb1f0b06b5611cd8978809eaab7a7343ab267bdad8b","observation_id":"2233393e-ad4e-4787-81ae-9f9de6422dec","resolution":{"observed_at":"2026-08-16T10:44:51.844139Z","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":"2026-08-16T10:44:53.218597Z","title":null,"venue":null,"work_id":"bf6bd4bb-133f-4e8d-863d-b3d2bba2ba5b","year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.848437Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:d904ce6042790e9a37c0735c05eec941401e5a0c473b15f8d71fdc916431fe3e","observation_id":"367ce57b-83ef-4e38-96b0-1a7c23487bb3","resolution":{"observed_at":"2026-08-16T10:44:53.223531Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.204112Z","title":null,"venue":null,"work_id":"c923efb0-f310-4ba9-9a3a-5820d861f4e7","year":2001},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.853336Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:efb10e53aa3d8e0b085625487a6d0e759bf2f7c2c822bf7caf4e378904772c65","observation_id":"b20ca362-3ca9-4908-8876-16e81be26839","resolution":{"observed_at":"2026-08-16T10:44:53.208431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.189627Z","title":null,"venue":null,"work_id":"a7f656fc-6784-426f-8417-ad5248d6c25e","year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.857498Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:89d687ef6d62aab10311c6cbd3fbe81a0a5cc6696f810c01ea7163d8d14b6720","observation_id":"9bc8ddfd-bf89-4dce-b111-5c247ce8ace1","resolution":{"observed_at":"2026-08-16T10:44:53.193890Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.175781Z","title":null,"venue":null,"work_id":"59f5f077-98a3-42af-8357-31b2af342253","year":null},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.861612Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:8bed36c7deafe128f3b05550b96e6b92c7de02dd88feb05fba46063e1a7efbd0","observation_id":"40aea12b-f091-4801-b74c-fe831c4aa74f","resolution":{"observed_at":"2026-08-16T10:44:53.180025Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.147326Z","title":null,"venue":null,"work_id":"7cd0c8f5-78d1-4f96-8575-d4ba88f886de","year":2012},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.870071Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:18689dfe903f7e904537237472df55c36b7f89b1ec66c9638b4c5ebedce052d0","observation_id":"acf33789-c92c-4374-87e8-00fa0134379a","resolution":{"observed_at":"2026-08-16T10:44:53.151664Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.132900Z","title":null,"venue":null,"work_id":"c2ec4ade-2c91-4834-944d-3291a2f867c6","year":2015},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.874225Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:3b641c13ec67ba20b13f0e1768e0f138d3812a5a5bf340d3f9deaacb63965709","observation_id":"b20276c7-d97c-4957-802b-44094d0adf4d","resolution":{"observed_at":"2026-08-16T10:44:53.137513Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:51.878389Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.878389Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:ea5c4256e9f5673ffe90d94be688bd95271786ac3d7946167cc47f679537e4ef","observation_id":"860a3870-dc88-4aeb-a327-f86a89cba334","resolution":{"observed_at":"2026-08-16T10:44:51.878389Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:51.882500Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.882500Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:6105557f6e943344542721e5b2242e2a54df25739b70fae21135a469223d3b94","observation_id":"92aa1d49-7b94-4642-b251-ddbd1714ea19","resolution":{"observed_at":"2026-08-16T10:44:51.882500Z","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":"2026-08-16T10:44:53.110536Z","title":null,"venue":null,"work_id":"52e85068-1123-4acc-9a6e-32faada9e7b8","year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.886711Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:7f38aab0e301005c8ef5f1c71925719c445637941c5b3f06cee42c575f3acfcd","observation_id":"1ceb640e-7229-4ad0-b5e0-60ae020279b1","resolution":{"observed_at":"2026-08-16T10:44:53.115021Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:51.891118Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.891118Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:1a4bf08eb80890e298613ac92ea661fdb265b1a7b4fe5df10fa1e2ead631605b","observation_id":"0036d45e-cc67-473a-b11b-88433c193915","resolution":{"observed_at":"2026-08-16T10:44:51.891118Z","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":"2026-08-16T10:44:53.097420Z","title":null,"venue":null,"work_id":"9683ed24-66f4-40ba-b315-35e245571441","year":2007},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.895316Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:3b9a85daf97effd6f4167e0f3be1c65dbe5a5f8a6efd27eeee0c64117168873d","observation_id":"c56b110e-778b-4974-9ea9-80bad375c252","resolution":{"observed_at":"2026-08-16T10:44:53.101530Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.084083Z","title":null,"venue":null,"work_id":"931aa769-1dd8-4f31-b3ce-89a18cbea825","year":2013},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.899664Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:587c8139a431f944cafac4b47e39c184140f0cabc89e640c433a15ccc0644d8a","observation_id":"aea2a903-81ab-4ea8-aa18-d6ed51412bbd","resolution":{"observed_at":"2026-08-16T10:44:53.088246Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:51.904525Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.904525Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:43054a569f0e05390dbf57aeb452672d7b6b970ce5846ad46bb065c5df8ce16f","observation_id":"1e553d63-4b98-462a-a055-962f7cb02d0e","resolution":{"observed_at":"2026-08-16T10:44:51.904525Z","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":"2026-08-16T10:44:53.070894Z","title":null,"venue":null,"work_id":"e34929dd-8563-4808-914a-f51b0726d9c3","year":2011},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.908143Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:339a2153fc6611714250e5d0c985010c2e34436cb86f138be1431b259abdab17","observation_id":"f95d6c6f-27be-417d-a157-d98d2eb9c176","resolution":{"observed_at":"2026-08-16T10:44:53.074877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.057670Z","title":null,"venue":null,"work_id":"92e30fb1-5a6a-4422-8527-20d6f307ef63","year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.912089Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:9378a8b55b01e0ef4a1f39a942d495364f4fa1be26243bf3283bef184b830db1","observation_id":"cd5b1dd7-293a-4afa-80b2-9f335bdf4562","resolution":{"observed_at":"2026-08-16T10:44:53.061872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.044858Z","title":null,"venue":null,"work_id":"eb324d08-a0c9-4177-89f8-706b8b7e195b","year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.915917Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:03a47ce1c065cd52aa7146b0b116c4ab0e0789020ab18dfba90d1197722c7003","observation_id":"1a1972a8-02c1-474f-8187-0d8715222156","resolution":{"observed_at":"2026-08-16T10:44:53.048837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.030889Z","title":null,"venue":null,"work_id":"1089b2d0-6544-4db5-bdbe-6f22824ea422","year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.919881Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:d9cc72ae7a22b91d97b6d57cc034b4fa85da094b682ca9dde8c2d3ecf3fb36fe","observation_id":"b24ff5da-30ce-469b-bb9f-3943aa88d47b","resolution":{"observed_at":"2026-08-16T10:44:53.035244Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:53.017388Z","title":null,"venue":null,"work_id":"ffcd9d7b-aae2-4228-bbcb-cda43890d1f6","year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.924279Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:82023c10e2aac3dbd8a8d8e46de09c5b7efa6a6c5169e286c458980c1dab17de","observation_id":"873a874e-28e5-4b43-a97e-3846728b5e53","resolution":{"observed_at":"2026-08-16T10:44:53.021601Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:51.928848Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.928848Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:1ad21fedc0e78995b7f0f89095911d9c65b0ba3e7f122c9c4923ca98d0200306","observation_id":"7a39af36-0f03-4549-8856-799126722338","resolution":{"observed_at":"2026-08-16T10:44:51.928848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.14292","last_updated":"2023-03-24T22:21:32Z","snapshot_observed_at":"2026-08-17T01:31:28.541251Z","submitted_at":"2023-03-24T22:21:32Z","title":"Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14292","snapshot_observed_at":"2026-08-16T10:44:51.933700Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.933700Z"},"links":{"cited_paper":"/paper/2303.14292","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:4171a245d967defb151a7c240727afc61c897caf60bfe5a8874b6a5264b4fb58","observation_id":"263f2667-ee6a-4c45-a9ae-7f95accd1db5","resolution":{"observed_at":"2026-08-16T10:44:51.933700Z","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":"2026-08-16T10:44:53.002767Z","title":null,"venue":null,"work_id":"f5a02aeb-8728-4c77-a5d6-7561066c54b7","year":2017},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.939761Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:7527ea207594b7ddffb63db3750bd97a14f50232a9f7c3e523fced63c8a5bd2a","observation_id":"2732aeb4-887a-475b-9c93-ec3e4c01ae7c","resolution":{"observed_at":"2026-08-16T10:44:53.007991Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.987689Z","title":null,"venue":null,"work_id":"119ecb40-9b48-446e-8b0a-d509c8942e16","year":2020},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.944674Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:a9655ed718fd1ac8f2111d94ac93f90e20a519dfe3d41403cdd5fd521dd2eda2","observation_id":"9a85ec6f-5c73-4858-bc40-e170c7768fb8","resolution":{"observed_at":"2026-08-16T10:44:52.992482Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.972109Z","title":null,"venue":null,"work_id":"52e14321-ae65-4492-a02b-78bcfdbf1dd2","year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.949310Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:71cc54db4f7999f73fb2e64b3fc4c5094b74226557a45380b4d92bd36e9181e2","observation_id":"0cc55add-5742-4fe2-a93e-eca2fb1d8bb3","resolution":{"observed_at":"2026-08-16T10:44:52.976664Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06476","last_updated":"2023-11-19T15:43:58Z","snapshot_observed_at":"2026-08-16T15:56:52.514985Z","submitted_at":"2023-02-08T09:44:51Z","title":"Is ChatGPT a General-Purpose Natural Language Processing Task Solver?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06476","snapshot_observed_at":"2026-08-16T10:44:51.955461Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.955461Z"},"links":{"cited_paper":"/paper/2302.06476","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:be555881d68bb77753853068f52fb4270a9a64dfb7754f098b46f7f9ca359649","observation_id":"8b478f96-021a-4555-9509-b70f031c960f","resolution":{"observed_at":"2026-08-16T10:44:51.955461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00498","last_updated":"2022-03-15T17:23:53Z","snapshot_observed_at":"2026-08-16T17:14:21.031207Z","submitted_at":"2022-03-15T17:23:53Z","title":"Evaluating the Text-to-SQL Capabilities of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.00498","snapshot_observed_at":"2026-08-16T10:44:51.961600Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.961600Z"},"links":{"cited_paper":"/paper/2204.00498","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:394fb0105793343a009ca93c3c7796d372cecb46c3a92645914ded76a296713e","observation_id":"cfe8a13e-0c5d-4ac2-9fb7-36b370c79314","resolution":{"observed_at":"2026-08-16T10:44:51.961600Z","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":"2026-08-16T10:44:52.956962Z","title":null,"venue":null,"work_id":"bc30d723-bac6-4d20-9f12-90005eabbca6","year":2016},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.966707Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:17bcdc349ad4f90907ae493968d4e5d6b0d4f8ad7c8368e50439459219b17dce","observation_id":"3c73e88e-9ea8-4cd6-a0e4-24f13eb9bd8b","resolution":{"observed_at":"2026-08-16T10:44:52.961854Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-08-14T05:02:11.716316Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-16T10:44:51.972878Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.972878Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:9b63ec2bcb879daed418ee9f6360811cb31d22ab8a87637b3174897ca19c1ca1","observation_id":"bb939930-d7ab-406f-8ac0-0fd9b89cb71d","resolution":{"observed_at":"2026-08-16T10:44:51.972878Z","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":"2026-08-16T10:44:52.942888Z","title":null,"venue":null,"work_id":"3b22b704-5ce6-4fb1-b386-2e435e71dbfb","year":2017},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.978402Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:6b9a2145b468d56bdd708103287c68c94e7bdda63b13d6386521f3d46688cc08","observation_id":"f1ceb8e3-ed5d-4805-afee-905f42d22660","resolution":{"observed_at":"2026-08-16T10:44:52.947210Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.928824Z","title":null,"venue":null,"work_id":"f96cd419-c349-40b7-9879-f1640a013ede","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.982875Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:4700530d6363d9a319452a542f45f7bf18ab52c2e0848119d5ac412b75be59b0","observation_id":"8e8de9c9-9a7c-4be7-bc22-7da173b42589","resolution":{"observed_at":"2026-08-16T10:44:52.933462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.914808Z","title":null,"venue":null,"work_id":"80252841-1d7c-4fcb-abce-f2f160bf46a2","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.987304Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:40cf940a6d862eaf215de0d86b813dda2c4754c75d9a1a8847adb131efda7ac1","observation_id":"0471f421-4eb3-4cc5-a53a-d80d0c2ba354","resolution":{"observed_at":"2026-08-16T10:44:52.919292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:51.991644Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.991644Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:4fbb93d07335fcbdeee1c6cfa0fe1370859ea9ca1bf44cd662af48d075cd511e","observation_id":"4d794482-5104-43a5-82ee-2abff7e51662","resolution":{"observed_at":"2026-08-16T10:44:51.991644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13906","last_updated":"2023-06-24T08:48:24Z","snapshot_observed_at":"2026-08-16T15:21:29.859031Z","submitted_at":"2023-06-24T08:48:24Z","title":"Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13906","snapshot_observed_at":"2026-08-16T10:44:51.996088Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.996088Z"},"links":{"cited_paper":"/paper/2306.13906","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:c446abec532e707eb3ba07481b0d5b932f1f506f3f21f1a0b8f3a58a9a7f8853","observation_id":"84566d08-5bf7-4177-9066-6a22a043d39b","resolution":{"observed_at":"2026-08-16T10:44:51.996088Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.000998Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.000998Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:614842f2c0af68ec111e3ff8e3f1938d5ee514c513658bc25b57ede0c0f11db0","observation_id":"b00796e3-752b-4007-99ba-0b0c94988be2","resolution":{"observed_at":"2026-08-16T10:44:52.000998Z","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":"2026-08-16T10:44:52.881983Z","title":null,"venue":null,"work_id":"7886c167-0d1f-4ff0-ac64-96cf8ec7cd04","year":2016},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.006810Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:a4a9f6ee2362ddf488788815ffed10afc7677d12968f67935261de87ac092e47","observation_id":"ea4e91f4-74ff-4ea8-8f62-e8b8133fd012","resolution":{"observed_at":"2026-08-16T10:44:52.886189Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03876","last_updated":"2024-08-07T16:25:39Z","snapshot_observed_at":"2026-08-16T13:27:55.237170Z","submitted_at":"2024-08-07T16:25:39Z","title":"From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03876","snapshot_observed_at":"2026-08-16T10:44:52.011493Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.011493Z"},"links":{"cited_paper":"/paper/2408.03876","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:724b63e953f07822046b6a2f76e9ac4ac3e25ad0969e9ad20c17274c8e259513","observation_id":"9262084f-9ff4-47d7-a580-6da2f3a40bfe","resolution":{"observed_at":"2026-08-16T10:44:52.011493Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.016565Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.016565Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:efde4c178f0ed867326278f35d80c2a78c556a84bba353fa34c6eadec0e9e1b3","observation_id":"29b46336-5abd-43ea-a302-8705e128bc41","resolution":{"observed_at":"2026-08-16T10:44:52.016565Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.021026Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.021026Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:6d22e76107b2e09b69a757834c5093b34aa8b9a82f19c7428eeba775446ab0dd","observation_id":"4b1b0e33-3755-4da8-b554-3e2c0535767d","resolution":{"observed_at":"2026-08-16T10:44:52.021026Z","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":"2026-08-16T10:44:52.848407Z","title":null,"venue":null,"work_id":"706e8756-c998-4f07-b5e2-f8f08f7ee071","year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.025493Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:416418650ee65e2fa20531557405ab4ae18bcd6bf65e5bb898a3654cb8223d7d","observation_id":"45a90688-df83-4e98-be34-443647b913fd","resolution":{"observed_at":"2026-08-16T10:44:52.852922Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.029929Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.029929Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:861c6383298312f86c5627064899cd1d6a8e05e9cedeee57896c01c6bdc8fbe1","observation_id":"ef1fd74f-9d57-434a-8128-b1fc9a8a2e18","resolution":{"observed_at":"2026-08-16T10:44:52.029929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12652","last_updated":"2023-05-24T05:08:07Z","snapshot_observed_at":"2026-08-02T02:08:12.414817Z","submitted_at":"2023-01-30T04:18:09Z","title":"REPLUG: Retrieval-Augmented Black-Box Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12652","snapshot_observed_at":"2026-08-16T10:44:52.034641Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.034641Z"},"links":{"cited_paper":"/paper/2301.12652","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:7ae60d34fa33f364491e7b3f5eb4e25fd9142494445823b6d507fc911bf16d5b","observation_id":"a99e5dff-c0d7-43b9-be53-e898059c1637","resolution":{"observed_at":"2026-08-16T10:44:52.034641Z","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":"2026-08-16T10:44:52.824493Z","title":null,"venue":null,"work_id":"ff1a1248-5484-4d0b-8c3d-f2f0d08cb805","year":2005},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.039900Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:92dd8b83d8f166cb6203cb46d8ef550bb1e060d23902a9f8b305f9bb752a2af9","observation_id":"b02ef4cf-311a-492e-bbb3-3a220d7a2541","resolution":{"observed_at":"2026-08-16T10:44:52.828900Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.044547Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.044547Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:bf4d82babe87ff83c73805db5ebbe157046651cdef4c2a93c01012218b96e2d4","observation_id":"5fef4282-983d-4700-9e14-6844f59a862f","resolution":{"observed_at":"2026-08-16T10:44:52.044547Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.048943Z","title":"Drucker, Alex Endert, and John Stasko","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.048943Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:46d3783917893e5b7efe1cf19fce40d5be31115019c151aa153a4752f22f4f57","observation_id":"e8bd46e1-39c1-4161-9410-70b028d37868","resolution":{"observed_at":"2026-08-16T10:44:52.048943Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-16T10:44:52.802276Z","title":null,"venue":null,"work_id":"6ae7da51-afb3-4b33-8502-9ec8e3d7964a","year":2016},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.053767Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:4d5d3322f261950e54a8057cad607c6ab478caa520d2be097f44f4a333c3c612","observation_id":"302ef2c0-af91-4d2e-8654-0db2596568cf","resolution":{"observed_at":"2026-08-16T10:44:52.806812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.057930Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.057930Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:fd14639ce821b53fe7288222f085a57a17e07ab030b1871fbd302d4cee19a902","observation_id":"52d8dc47-5e4a-4763-a2c5-35e9092753db","resolution":{"observed_at":"2026-08-16T10:44:52.057930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09542","last_updated":"2024-12-28T06:20:54Z","snapshot_observed_at":"2026-08-16T15:39:19.922047Z","submitted_at":"2023-04-19T10:16:03Z","title":"Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09542","snapshot_observed_at":"2026-08-16T10:44:52.062158Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.062158Z"},"links":{"cited_paper":"/paper/2304.09542","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:c5e3fb0af081f6aa5b2222a2d637556440b2af1371c89681065d907b02945258","observation_id":"31e4c59d-9b63-4165-8c64-0ec246f16b67","resolution":{"observed_at":"2026-08-16T10:44:52.062158Z","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":"2026-08-16T10:44:52.780279Z","title":null,"venue":null,"work_id":"54c202e3-93ac-4746-a9fb-f1fd26647c27","year":2010},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.066941Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:362fa387cd0f3c087b64f22cd7707882fb884d7307855ff9c9fb54c6ac84a0ae","observation_id":"005fd995-2838-4f34-84b0-1d4a95ac1488","resolution":{"observed_at":"2026-08-16T10:44:52.784399Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.766707Z","title":null,"venue":null,"work_id":"22943ed1-d36e-410d-bc40-8ba385994674","year":2011},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.071325Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:93f0d3fbfe9001995a65412e0e4b51e06c5b499452c78c18f84ad4dcbdab1eec","observation_id":"acd36e45-fc07-4cc7-b2d6-71532b645236","resolution":{"observed_at":"2026-08-16T10:44:52.770962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00801","last_updated":"2024-11-04T03:07:30Z","snapshot_observed_at":"2026-08-16T18:21:24.266892Z","submitted_at":"2024-02-23T18:45:35Z","title":"Self-Retrieval: End-to-End Information Retrieval with One Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00801","snapshot_observed_at":"2026-08-16T10:44:52.075895Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.075895Z"},"links":{"cited_paper":"/paper/2403.00801","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:7c5badcde916a477a7ec3c94cf0fd4ef6afe4921cd76125d4c93118c04a0b9f7","observation_id":"f39ba1b5-9ed4-4bd3-9c0e-966508355df2","resolution":{"observed_at":"2026-08-16T10:44:52.075895Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.080864Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.080864Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:0a2b7568cbd47eafd66d07001036862722af92375e912e138f6961e3b37614cd","observation_id":"5e051c4c-473e-4de0-ab85-064ab5510379","resolution":{"observed_at":"2026-08-16T10:44:52.080864Z","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":"2026-08-16T10:44:52.743118Z","title":null,"venue":null,"work_id":"9fc335e5-c19f-45e7-a323-a77c6b93f0ca","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.085145Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:ee17fdfaf052fdc3a64540c56ba9b8f8abe17092c6a83241bf9a2e11301f6193","observation_id":"1e5440ec-a0a1-4b25-ab67-8c48a4df67c4","resolution":{"observed_at":"2026-08-16T10:44:52.747920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.729249Z","title":null,"venue":null,"work_id":"41de1d3e-47be-462e-86d8-15f54919fc56","year":2015},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.089698Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:c91c608c28b45b0d53d5006e951fe9960b4215202dfa872c63322a34ab061cda","observation_id":"78c3a48e-7383-4b64-a8c6-4c2e9e5455bd","resolution":{"observed_at":"2026-08-16T10:44:52.733518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.715395Z","title":null,"venue":null,"work_id":"432ffb12-280f-418a-b24b-896f5333f9a6","year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.094478Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:8672315430fe7c4dd3cb19483bf33c6401af226e19250fe6fdd85878bb76de4f","observation_id":"516e5d13-3e1d-4103-87d8-accc05aea080","resolution":{"observed_at":"2026-08-16T10:44:52.720133Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.098849Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.098849Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:d790cd6a0de6eeee1e78955bbee46659d992fd9a1bd1c657a3292af2e78de660","observation_id":"461e0690-4f13-4955-8b88-9a9a8d74bce8","resolution":{"observed_at":"2026-08-16T10:44:52.098849Z","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":"2026-08-16T10:44:52.701139Z","title":null,"venue":null,"work_id":"a7022b05-f1a9-4a47-a630-a5ff1d7c6861","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.103404Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:751f63635b7aaa7c0fb500f7dab361b2dd8ade450206483ff09cd72d05f9a3cb","observation_id":"027b0321-d564-4de9-adbb-efc11228f3ee","resolution":{"observed_at":"2026-08-16T10:44:52.705713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11903","last_updated":"2023-01-10T23:07:57Z","snapshot_observed_at":"2026-08-13T07:04:41.220509Z","submitted_at":"2022-01-28T02:33:07Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11903","snapshot_observed_at":"2026-08-16T10:44:52.107924Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.107924Z"},"links":{"cited_paper":"/paper/2201.11903","citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:df753c28bbc7eea8cadd549c8b56b40b8205430e572a4c7e40110fa209e90412","observation_id":"9f4e2953-55cd-4d18-85a5-fa38451af055","resolution":{"observed_at":"2026-08-16T10:44:52.107924Z","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":"2026-08-16T10:44:52.686493Z","title":null,"venue":null,"work_id":"b88ec40c-de43-44a5-b521-a1a04e1f231d","year":2005},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.112481Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:1fbcb1b09d6e0f09f6abbd4ddbbc8ff0fc5752c4ae99f7ff9787a30f0f10ab70","observation_id":"af42f2ed-0662-4d24-aff2-01d38cfbc3b0","resolution":{"observed_at":"2026-08-16T10:44:52.690809Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.672772Z","title":null,"venue":null,"work_id":"4fa87060-7a66-4127-80d1-4e7bbd392f6f","year":null},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.116925Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:7079bb2987ce09403cd5aba3cb8ec804818a6e710b4317bb37ebc92a3f58583c","observation_id":"2a76f533-8f4b-45ab-bc99-77000ab3d8e2","resolution":{"observed_at":"2026-08-16T10:44:52.677020Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.121503Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.121503Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:c0819d59755063c6024d72b629b1e99f0457a8b54b10ef3896f59477eb78256e","observation_id":"1840e88a-c328-402d-8f81-2346540f13d1","resolution":{"observed_at":"2026-08-16T10:44:52.121503Z","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":"2026-08-16T10:44:52.659042Z","title":null,"venue":null,"work_id":"b76c2829-27dd-475f-941c-9f0857d57226","year":2018},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.126631Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:999561dd7539d219f62d5bb46a8bd4ce4ea25d5476202cf71d0914d73e0f4221","observation_id":"5e235c70-facb-4990-9934-19839900f903","resolution":{"observed_at":"2026-08-16T10:44:52.663165Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.644575Z","title":null,"venue":null,"work_id":"e2a8c1d4-1992-46a8-80a7-47bef27711a8","year":2019},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.130772Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:9037cbe0be259cced0e1a3365c4b4fef5d0184b6559cf86aa6680db4e1f475a4","observation_id":"f8736302-91ff-4dbd-90e8-69c3f6578620","resolution":{"observed_at":"2026-08-16T10:44:52.649273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.628544Z","title":null,"venue":null,"work_id":"560096a0-254c-4bf7-a6b4-616ba5b59c9f","year":2021},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.135208Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:0aa36facb85d0a35ad27c1aef3de4a6c4c0519a5c466ddf994559d98b906a58c","observation_id":"466ae472-7429-408a-a2d5-b2ba21767c63","resolution":{"observed_at":"2026-08-16T10:44:52.634522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:44:52.139598Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:52.139598Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:4a1055d56ba49efcc5ea5be30b2f0820d8e67377a4e342b9b80e7de73b3bc633","observation_id":"bc2e08de-e69b-449a-85c8-f7a2c5f0f232","resolution":{"observed_at":"2026-08-16T10:44:52.139598Z","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":"2026-08-16T10:44:53.161532Z","title":"Advances in Neural Information Processing Systems 35 (2022), 11763–11784","venue":null,"work_id":"87d4a5d0-7543-4495-ae88-97bb829fb0b0","year":2022},"citing_paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-16T10:44:51.866003Z"},"links":{"citing_paper":"/paper/2504.17334"},"observation_digest":"sha256:fc89f211a39159b4030e6727ad8d1d81b3c3052c83d7006e0c37b1c0e47a2d72","observation_id":"35153c34-e643-44fc-92cd-987131dcad0a","resolution":{"observed_at":"2026-08-16T10:44:53.166800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.17334","last_updated":"2025-04-24T07:52:09Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-16T18:22:16.613749Z","submitted_at":"2025-04-24T07:52:09Z","title":"DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent"},"reference_resolution":{"displayed":72,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":70,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":72},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2504.17334."}