{"as_of":"2026-08-12T18:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b5e9cab12c6426ce616c082b6469feb13d370a9f0caf15aad66f0760a80d843","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T05:09:26.811139Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2608.07400/citation-record","integrity":"/paper/2608.07400/integrity","json":"/paper/2608.07400/citation-record.json","paper":"/paper/2608.07400"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:09:27.623609Z","title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =","venue":null,"work_id":"cc248e12-7360-433f-a6c2-2486ab33e88a","year":2021},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.591719Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:cabc5f84329e843980e58ad1b67f0ed092b0783216d403414a539a465ce54fb2","observation_id":"6cb30cba-4253-4c69-9d15-70c3e6987b9b","resolution":{"observed_at":"2026-08-10T05:09:27.629200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.606477Z","title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) , year =","venue":null,"work_id":"a6b117c7-3483-4e82-b8ce-782bbfd12569","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.599948Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:dc6ad48f4ab7ae4ffab1ae91667fd4c8afab3eebfe9c8c517eebae1c2036d638","observation_id":"ba58f23a-67e5-4e1e-a562-35ab6f19366d","resolution":{"observed_at":"2026-08-10T05:09:27.611750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.589118Z","title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =","venue":null,"work_id":"b572fe68-49f1-48a5-9660-f189df17140d","year":2022},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.606572Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:09fce3b40501d5be9a0092a72011e2d9cba881a5d25fb00ced176926e68d6c03","observation_id":"c6c99bd1-6546-4f1e-841d-8d7878699f50","resolution":{"observed_at":"2026-08-10T05:09:27.594826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.11944","last_updated":"2023-11-20T17:28:02Z","snapshot_observed_at":"2026-08-10T08:01:44.134932Z","submitted_at":"2023-11-20T17:28:02Z","title":"FinanceBench: A New Benchmark for Financial Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.11944","snapshot_observed_at":"2026-08-10T05:09:26.611731Z","title":"arXiv preprint arXiv:2311.11944 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.611731Z"},"links":{"cited_paper":"/paper/2311.11944","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:5908d648eca92b8167b449cb284c2e6c391e26422f8059fc6ba39bdef4a16f16","observation_id":"cacdb76f-9696-485d-a553-0113f97028c6","resolution":{"observed_at":"2026-08-10T05:09:26.611731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-10T05:09:26.617151Z","title":"arXiv preprint arXiv:2303.17564 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.617151Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:8a1dfee6a0017fa50b8847a1b200d175d439e53ca74bca481e2b365aa2382190","observation_id":"745ec406-8e7e-4f3f-8daa-26f4a43afcad","resolution":{"observed_at":"2026-08-10T05:09:26.617151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15800","last_updated":"2025-09-03T07:11:43Z","snapshot_observed_at":"2026-08-07T16:00:15.972226Z","submitted_at":"2025-04-22T11:30:13Z","title":"FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15800","snapshot_observed_at":"2026-08-10T05:09:26.622417Z","title":"arXiv preprint arXiv:2504.15800 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.622417Z"},"links":{"cited_paper":"/paper/2504.15800","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:b85df074831a6b53a6e57a76e0e37fd6366392c34083d1f5592bbc801c44b528","observation_id":"74fe4548-4c39-4f2c-ab6c-fdec4fd0756d","resolution":{"observed_at":"2026-08-10T05:09:26.622417Z","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":"2026-08-10T05:09:26.627790Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.627790Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:961d70e3439e63d626c2298c51d798e57b1d3a04b7b1c226fab19803f16044fc","observation_id":"432fac9c-c94f-4313-a466-8fc0789d9bf2","resolution":{"observed_at":"2026-08-10T05:09:26.627790Z","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":"2026-08-10T05:09:27.562221Z","title":"Dense Passage Retrieval for Open-Domain Question Answering , booktitle =","venue":null,"work_id":"c508ab45-2f3d-4e0e-9688-abf88d53eccd","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.633227Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:5ad84424c17b80de11d5f7157487659d6e06244f59d0764b6b0bfe6489a15cff","observation_id":"aefc86be-6af6-4507-b824-d0af6c38683f","resolution":{"observed_at":"2026-08-10T05:09:27.566790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.545854Z","title":"Foundations and Trends in Information Retrieval , volume =","venue":null,"work_id":"bb16f95b-1fb2-4873-b206-242151b060e1","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.638826Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:3490db83cd01d8ac5031057a3c57a9b72c5fb1bf8a6d83c0c6dcd997b1cf677c","observation_id":"e6f3b215-4a78-46e1-8a3d-f7e340b8c715","resolution":{"observed_at":"2026-08-10T05:09:27.551398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:26.644022Z","title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.644022Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:a58bf4bbaf13b5ffd3ae3fae1cd832a821ebdb4adf19d40c85613cdaef9c07ae","observation_id":"dc3149a2-dcbb-49e8-9c63-b6da308f2e71","resolution":{"observed_at":"2026-08-10T05:09:26.644022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.04085","last_updated":"2020-04-14T14:57:40Z","snapshot_observed_at":"2026-08-02T11:18:37.014004Z","submitted_at":"2019-01-13T23:27:58Z","title":"Passage Re-ranking with BERT","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.04085","snapshot_observed_at":"2026-08-10T05:09:26.649441Z","title":"arXiv preprint arXiv:1901.04085 , year =","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.649441Z"},"links":{"cited_paper":"/paper/1901.04085","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:f6c26a2b56ab88aba82a539a2c682e7065d952f98bca7e79306b48e3d911f29a","observation_id":"1d41b9b9-0fc5-45a7-9616-e5c5d0a150c9","resolution":{"observed_at":"2026-08-10T05:09:26.649441Z","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":"2026-08-10T05:09:27.519215Z","title":"Transactions on Machine Learning Research (TMLR) , year =","venue":null,"work_id":"1bc927b4-819b-48f6-b078-128acb8bd685","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.654833Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:ae077c282e483d39d741f044157428b7e5ae44a0b2c0af1f5d5e0577fb8112e4","observation_id":"84143d77-e939-4234-9e28-e003bc1d766f","resolution":{"observed_at":"2026-08-10T05:09:27.524502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:26.660272Z","title":"and Artzi, Yoav , title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.660272Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:3ac1407d2bc7360484e49120e8c53b32310c6b0ad90cf6109f1ce6e746cc0e2c","observation_id":"42043c6e-9569-48ac-86ca-114daa129a91","resolution":{"observed_at":"2026-08-10T05:09:26.660272Z","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":"2026-08-10T05:09:26.666765Z","title":"Text Summarization Branches Out , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.666765Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:01f4fce9379b21766e4ad981d597654337daecac6b26ec5ed1b3f13379474ae8","observation_id":"a10b0e6c-6e65-49ff-8db9-721b0c6103e7","resolution":{"observed_at":"2026-08-10T05:09:26.666765Z","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":"2026-08-10T05:09:26.673119Z","title":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.673119Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:68fc12e3919201cc83a92a7ac1eff4159b173bc808632e8a83e1bc1ae97b5c93","observation_id":"69c373ee-7d7d-4f7d-9755-82c31a8082a7","resolution":{"observed_at":"2026-08-10T05:09:26.673119Z","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":"2026-08-10T05:09:27.468493Z","title":"and Uszkoreit, Jakob and Le, Quoc and Petrov, Slav , title =","venue":null,"work_id":"ec8ab7ca-2bad-49e4-bbf4-cf49faac9ddc","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.678118Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:7dd1024b9384873e18400fcd1c1cd8e14918ab653711ff92ff3b957b88ea406e","observation_id":"9854263c-a89f-4c10-bfce-5a5749ff4f13","resolution":{"observed_at":"2026-08-10T05:09:27.474291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:26.683595Z","title":"and Zettlemoyer, Luke , title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.683595Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:19b887a0e5207f010ce463aafe49f66dce0dfba4b5f3c38f3c4bca1aa3d5242f","observation_id":"56bc22bb-d33a-440a-a766-f10f052bf1a4","resolution":{"observed_at":"2026-08-10T05:09:26.683595Z","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":"2026-08-10T05:09:27.439234Z","title":"Computational Linguistics , year =","venue":null,"work_id":"dbaf3a79-467f-4b5b-b2d6-804df00c9577","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.688075Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:b351122ac3d694f8b38e4a954a5a6cf77c13aa615f9418d747c5d84bc5ba87e7","observation_id":"78490ded-8b1d-4e56-92d3-fc0079701a71","resolution":{"observed_at":"2026-08-10T05:09:27.444362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08037","last_updated":"2023-02-10T20:04:05Z","snapshot_observed_at":"2026-08-11T22:10:09.127642Z","submitted_at":"2022-12-15T18:45:29Z","title":"Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08037","snapshot_observed_at":"2026-08-10T05:09:26.693164Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.693164Z"},"links":{"cited_paper":"/paper/2212.08037","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:2b316ad32c6d35c466f5027feb865ca1357c0223bf79344560b63b96e9f37752","observation_id":"b4505028-2320-445c-83bd-14d948d79332","resolution":{"observed_at":"2026-08-10T05:09:26.693164Z","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":"2026-08-10T05:09:27.423356Z","title":"Companion Proceedings of the The Web Conference 2018 , year =","venue":null,"work_id":"17e6b783-2f84-4d56-ad39-600e206823ff","year":2018},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.698182Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:a240d5192902cebfc90aaecb76284f21b9dcebc4fcffd6c7d250581611835c36","observation_id":"091f3dd5-c4ba-44c0-bf9e-0a61e1504764","resolution":{"observed_at":"2026-08-10T05:09:27.428271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.408642Z","title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =","venue":null,"work_id":"894e530a-8efe-4c4c-9c45-7afb396e27be","year":2022},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.703325Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:251b7fef02b96f372943766180523457a7718f65c0d5f56c33b7e3e66f0ead1a","observation_id":"1672340f-465b-4896-8b82-e87ecc2230b3","resolution":{"observed_at":"2026-08-10T05:09:27.413344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.392950Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages =","venue":null,"work_id":"a0d4a47c-ed22-4963-86e5-494e8ee8f22b","year":2024},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.708345Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:676a5576757f2ae43eca6fda9983d3ac8bfa3912741d0de5912f2d49d0adfb47","observation_id":"60819ecd-b8c5-478a-a5b2-1f99c77daab0","resolution":{"observed_at":"2026-08-10T05:09:27.397753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.375752Z","title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =","venue":null,"work_id":"d4e6718e-d96c-4975-a9d2-48c963f16340","year":2024},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.712939Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:9e962e36592ec32a041363eb9940c5bbfcd17b30d1126863c78394385247ba66","observation_id":"1a762207-f3f0-42d7-8239-2514b4f410b2","resolution":{"observed_at":"2026-08-10T05:09:27.381605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.359985Z","title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =","venue":null,"work_id":"d6c2f2dd-5664-48df-95a4-da90f19c6f6b","year":2022},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.718737Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:86cb4779f67776237861927f9d4768945b336ba43789b6f3ad1d75f7bd6ad6ac","observation_id":"d3651f9a-0a7f-44c6-894b-e411b6527df9","resolution":{"observed_at":"2026-08-10T05:09:27.364633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.343559Z","title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages =","venue":null,"work_id":"772e2e1e-b951-48b4-8e51-f5d042c56924","year":2022},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.724388Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:dab9dfdb40f4bea908938229b7c536e9e1c02598d06c8da6c7302201b9444729","observation_id":"7eead36e-01ac-483b-944f-82c080422f1b","resolution":{"observed_at":"2026-08-10T05:09:27.349079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.325922Z","title":"Proceedings of the 6th ACM International Conference on AI in Finance (ICAIF '25) , publisher =","venue":null,"work_id":"fdf4cc5f-4e74-48df-b5ff-d497c4ee4fec","year":2025},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.729301Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:07c5ee56ffc4478da93d69ae82f55aa729510a9666703ebe9f43a22a82b3498c","observation_id":"5e89f4f4-d436-4637-8e86-8ddd14a818c3","resolution":{"observed_at":"2026-08-10T05:09:27.331366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.310415Z","title":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =","venue":null,"work_id":"82ac33c0-0ebd-4aaf-9628-b4aba4b7d719","year":2026},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.734866Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:230cbf36e9bfbff3bf859fddbea6a804c186daec178d01dbe91ee25d008afbe4","observation_id":"16b7775e-f831-45a6-b5e5-080ce0195910","resolution":{"observed_at":"2026-08-10T05:09:27.315549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.294418Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =","venue":null,"work_id":"f88201a9-02ba-45c1-a15e-69c7ae3c1da5","year":2025},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.740101Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:d0fb1751200a2e2805660a5a8ba33afb03a49a9ad68f3ad0b27f8c12337def29","observation_id":"993e7996-85de-4dc7-b45f-1c5e0a22f197","resolution":{"observed_at":"2026-08-10T05:09:27.298812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.279063Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =","venue":null,"work_id":"5967cba5-bb4a-44eb-b0fe-1a5750726939","year":2025},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.744668Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:023f970611124c1aca70a7784af7b4f349d5adc24f77873dc2c74e47eec0d111","observation_id":"ec614251-ab5f-43e5-bba7-54e01fef265b","resolution":{"observed_at":"2026-08-10T05:09:27.283922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.263450Z","title":"2024 , note =","venue":null,"work_id":"6321f7c8-a56f-48d1-bef5-27d12888804e","year":2024},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.749198Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:b1045a497055d1b3c5443956ff1699da22dd8fe47de0fe99a8da798355be20cb","observation_id":"6bbaa744-214e-4e9b-bc8b-8f8023b820e5","resolution":{"observed_at":"2026-08-10T05:09:27.268422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.247023Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =","venue":null,"work_id":"bc02fd09-80dd-419e-8615-e0ca78bc3242","year":2025},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.754633Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:6dd81d828f61d9ed63ee3a0b59b3432bafe4fad15d0b9b0c8cd5b6e28fb5e98d","observation_id":"f7d8f826-8e7a-42ca-94c8-922658baeba2","resolution":{"observed_at":"2026-08-10T05:09:27.252034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.229579Z","title":"Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages =","venue":null,"work_id":"039f27ab-76a4-406e-a2d2-dcac97dc84cd","year":2023},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.760094Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:0c341d084a590ac2527799115ee8aa2e0b913cb724ea9ab22289cabfa09037c3","observation_id":"b4863d53-d2cf-4532-888e-c93f816d0aea","resolution":{"observed_at":"2026-08-10T05:09:27.235416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08663","last_updated":"2021-10-21T01:18:28Z","snapshot_observed_at":"2026-08-09T23:22:21.200279Z","submitted_at":"2021-04-17T23:29:55Z","title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08663","snapshot_observed_at":"2026-08-10T05:09:26.764735Z","title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.764735Z"},"links":{"cited_paper":"/paper/2104.08663","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:eeda462cbe0a98a8a6d26afb586b4acbafe0b59031695ba7dddd033ef1aa0eb5","observation_id":"17987996-7466-4d3a-a675-9d429f2a0820","resolution":{"observed_at":"2026-08-10T05:09:26.764735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00808","last_updated":"2020-10-20T22:17:19Z","snapshot_observed_at":"2026-08-06T15:45:53.027828Z","submitted_at":"2020-07-01T23:15:56Z","title":"Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.00808","snapshot_observed_at":"2026-08-10T05:09:26.770108Z","title":"and Ahmed, Junaid and Overwijk, Arnold , title =","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.770108Z"},"links":{"cited_paper":"/paper/2007.00808","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:62ee55d4a3f7bc626acd4ba673f1db6d1095b6961f860d000f8abf1c12facd63","observation_id":"edd9f052-28a3-45e1-8be1-77875e30dfe0","resolution":{"observed_at":"2026-08-10T05:09:26.770108Z","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":"2026-08-10T05:09:27.213404Z","title":"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages =","venue":null,"work_id":"2738839e-e4ca-4ab2-8d4b-a4bf6636ae90","year":2021},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.775106Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:cc6ad775ccf86ec1f7e447870444d4653c7914cb10e79c76f57e893bcfe0bc17","observation_id":"7bedc37d-2231-41f4-b51d-6596470a9ce6","resolution":{"observed_at":"2026-08-10T05:09:27.218273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.198528Z","title":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , publisher =","venue":null,"work_id":"217f92cb-85ad-43c5-8e1b-aea43c201b2e","year":2021},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.779692Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:b4ddcad07d958dab208f0a45111409dde8a028458eb0b2853fbe535f3e144006","observation_id":"73af261b-6006-422a-ad58-eb9d248d9502","resolution":{"observed_at":"2026-08-10T05:09:27.203249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.184537Z","title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , publisher =","venue":null,"work_id":"db6a8da5-86b9-4603-a388-26134acedb25","year":2023},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.785547Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:289f9b80c60c8bc745911164cf94f565d635d8a156851931b9141079adacb457","observation_id":"e232a5e7-ca3d-44f3-9728-59fe122239bc","resolution":{"observed_at":"2026-08-10T05:09:27.188687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.169348Z","title":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations , pages =","venue":null,"work_id":"2fbb6944-375d-4b52-8123-74aa126bf36d","year":2024},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.790012Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:4cfab78a9272a2f88c06b0506d3ace5d6e2a82a57b3166c18dad7c5585168ceb","observation_id":"179d9123-7163-431b-aef1-6d4338314f31","resolution":{"observed_at":"2026-08-10T05:09:27.174114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T05:09:27.153906Z","title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , publisher =","venue":null,"work_id":"ef23e550-142b-4e5e-8cb2-4e87e88d51bb","year":2023},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.795271Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:73f75bc298a3f78a988e28cb0eef75c7408636ea0ff85c6cbc08d9a8333092c0","observation_id":"e731c13b-5ae7-4a71-bb5b-0acd4d2ff2c1","resolution":{"observed_at":"2026-08-10T05:09:27.158834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.20316","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:09:26.967669Z","title":"arXiv preprint arXiv:2603.20316 , year =","venue":null,"work_id":"5ca77669-1a4e-4e5a-ac8b-001255ee9163","year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.800754Z"},"links":{"citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:8d3e8e68d0267c620e4491e4bb4fd9bc1e9e19c8a7c8aa99d5181f0b2f189dd2","observation_id":"063557d4-0899-4fee-96d2-b338dfffcee2","resolution":{"observed_at":"2026-08-10T05:09:27.001962Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.06992","last_updated":"2026-04-30T13:51:45Z","snapshot_observed_at":"2026-08-02T10:37:52.865107Z","submitted_at":"2026-01-11T17:03:24Z","title":"FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering","version":2},"cited_work":{"arxiv_id":"2601.06992","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.06992","snapshot_observed_at":"2026-08-10T05:09:26.866713Z","title":"FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering","venue":"cs.IR","work_id":"ec98dbad-ad94-4746-8753-a09ee8049fb4","year":2026},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.806491Z"},"links":{"cited_paper":"/paper/2601.06992","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:2cbce90ebdd475c1dad593513c26957c38bb05dae27b7a505d3a978570c1c4e1","observation_id":"10ff3b7e-7ec6-443a-aab1-a20716a04915","resolution":{"observed_at":"2026-08-10T05:09:26.874502Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.07294","last_updated":"2026-06-10T19:05:18Z","snapshot_observed_at":"2026-08-09T08:46:12.424514Z","submitted_at":"2026-02-07T00:54:37Z","title":"Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.07294","snapshot_observed_at":"2026-08-10T05:09:26.811139Z","title":"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '26) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T05:09:26.811139Z"},"links":{"cited_paper":"/paper/2602.07294","citing_paper":"/paper/2608.07400"},"observation_digest":"sha256:8aeb69a3ac722c3d1730faab452ed4db033037f383227b31fbca1a9e7edbeada","observation_id":"ee97e929-958f-4179-82c7-45145fd7ab1b","resolution":{"observed_at":"2026-08-10T05:09:26.811139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.07400","last_updated":"2026-08-07T16:45:39Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T17:11:37.969873Z","submitted_at":"2026-08-07T16:45:39Z","title":"FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":42},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.07400."}