{"as_of":"2026-08-15T15:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4afdacd04d0f71aa4d303c92e09367f5480a7b6d7ed726904588744b516b1828","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:31:33.824034Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.04011/citation-record","integrity":"/paper/2509.04011/integrity","json":"/paper/2509.04011/citation-record.json","paper":"/paper/2509.04011"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.00904","last_updated":"2021-03-24T07:21:07Z","snapshot_observed_at":"2026-08-10T20:19:56.121472Z","submitted_at":"2020-10-02T10:13:31Z","title":"Autoregressive Entity Retrieval","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.00904","snapshot_observed_at":"2026-08-05T10:31:33.779950Z","title":"arXiv preprint arXiv:2010.00904","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.779950Z"},"links":{"cited_paper":"/paper/2010.00904","citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:742f55caa4d36ff19c1641f4928440e3eedd6d1583627310ee4d0e599c63016d","observation_id":"a99bd609-5118-4e79-94d5-db5d4df2c6d6","resolution":{"observed_at":"2026-08-05T10:31:33.779950Z","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":"2026-08-05T10:31:33.995148Z","title":"In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023 , pages 2027–2051, Singapore","venue":null,"work_id":"f63cd775-9b48-4964-9e06-6fc3e66c71ae","year":2023},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.783479Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:400b17e2c9ab7a86388baf8c329aaa1ced1d43bb388797357ba3c1bf9d0898ab","observation_id":"4ef77e4a-a9c4-4094-9e24-d931306dd626","resolution":{"observed_at":"2026-08-05T10:31:33.998643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:31:33.984429Z","title":"In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6769–6781, Online","venue":null,"work_id":"9e0563c5-9ecb-4cd6-8e46-2099e6353519","year":2020},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.786887Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:81e4e0ba61b7fadb63311b1e39b709dba2ecbf375fd576d542fb390366d26677","observation_id":"0a5bc32c-6e07-4b5e-94c0-74ad186df0e3","resolution":{"observed_at":"2026-08-05T10:31:33.988371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:31:33.973360Z","title":"In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023 , pages 3340–3354, Singapore","venue":null,"work_id":"c68cf469-2c7b-4dac-82ed-19c3a857ea63","year":2023},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.790658Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:c6006d0c053c92add910de39f3fd74079b59ef444226bf8fe2ce4ff24ddda74e","observation_id":"7e134130-0679-4c36-af4c-bbe0cca03955","resolution":{"observed_at":"2026-08-05T10:31:33.976926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:31:33.961949Z","title":"In Pro- ceedings of the 2024 Conference on Empirical Meth- ods in Natural Language Processing , pages 2913– 2932, Miami, Florida, USA","venue":null,"work_id":"e5c54a41-1c21-466f-bd01-5281dc742b91","year":2024},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.798744Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:0b61a036b9d3dc26a5cb0937857968cfd53c0a65b0ee4f1c61a16eb2162a5f2f","observation_id":"3916b7f5-a0c1-4ed8-be22-bd94ccfd92b4","resolution":{"observed_at":"2026-08-05T10:31:33.966510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00368","last_updated":"2024-05-31T07:22:01Z","snapshot_observed_at":"2026-08-13T04:50:57.181092Z","submitted_at":"2023-12-31T02:13:18Z","title":"Improving Text Embeddings with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00368","snapshot_observed_at":"2026-08-05T10:31:33.812387Z","title":"arXiv preprint arXiv:2401.00368","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.812387Z"},"links":{"cited_paper":"/paper/2401.00368","citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:2670ea8267389a122678e6bfd9aa83afe7a8cb9e15f6c45699289cc746278811","observation_id":"db22c125-11e3-4a1a-b573-72545f86c697","resolution":{"observed_at":"2026-08-05T10:31:33.812387Z","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":"2026-08-05T10:31:33.917326Z","title":"In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages 6397–6407, Online","venue":null,"work_id":"d6b6defc-3343-4340-8241-bc5221c8ce0c","year":2020},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.820654Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:32501b93c64e6e57fd5b61fed2457ccd5d4669061a77eed5da6aa78e665972b1","observation_id":"711a9d68-4677-4b13-b030-1ae32482a315","resolution":{"observed_at":"2026-08-05T10:31:33.920991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:31:33.904992Z","title":"In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 7935–7956, Singapore","venue":null,"work_id":"f340e89f-a6d7-4556-af0b-6c91a4f9d642","year":2023},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.824034Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:353e546f425bb7440e167b568df7dbf365287c4b457e38372eb7e191f2742a68","observation_id":"af83010a-9eff-49b8-818e-a132ccb4ae27","resolution":{"observed_at":"2026-08-05T10:31:33.910480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:31:33.927754Z","title":"In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 142–","venue":null,"work_id":"eaa5cb16-aa01-41c8-81ef-3d4f002a76ee","year":2003},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.809208Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:50c625c067b771172ab32741ed121587ea157024c3c9508ac33670c1232dc663","observation_id":"c6ba91e3-a300-47a7-9610-83ec7e3a8390","resolution":{"observed_at":"2026-08-05T10:31:33.931413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-05T10:31:33.950525Z","title":null,"venue":null,"work_id":"4c5b0ff2-2828-4c47-a371-9ef71d12cd77","year":2019},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.802240Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:83fdbc3c13bc881423dc315a517d88ba5e6519283632af4d138173cf4cbcfadd","observation_id":"699faf2e-d4b1-4af2-860e-c651b3185f6c","resolution":{"observed_at":"2026-08-05T10:31:33.954139Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.07317","last_updated":"2020-09-15T18:41:29Z","snapshot_observed_at":"2026-07-06T09:55:57.101286Z","submitted_at":"2020-09-15T18:41:29Z","title":"Cascaded Models for Better Fine-Grained Named Entity Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.07317","snapshot_observed_at":"2026-08-05T10:31:33.776207Z","title":"CoRR, abs/2009.07317","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.776207Z"},"links":{"cited_paper":"/paper/2009.07317","citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:154210b42f2c0a2ff6f2ded6c374af4b3dd0970f20d140cf6ffb1c5c87c4cdb4","observation_id":"70d4330e-6b95-484b-a1b7-8a2a4d287e3d","resolution":{"observed_at":"2026-08-05T10:31:33.776207Z","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":"2026-08-05T10:31:33.938399Z","title":"In Proceedings of the 2021 Conference on Empirical Methods in Natu- ral Language Processing, pages 6138–6148","venue":null,"work_id":"2be83ec6-2ce5-4e46-964c-4016890d8b3e","year":2021},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.806002Z"},"links":{"citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:7ce1618d51e5fa85970034012720f1cb0ac29bf41a8d4bf22935d5dc06615d57","observation_id":"b27ce282-0b97-4b60-8c66-acd5374d195b","resolution":{"observed_at":"2026-08-05T10:31:33.942242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15444","last_updated":"2023-06-20T14:41:38Z","snapshot_observed_at":"2026-08-15T08:12:50.706142Z","submitted_at":"2023-05-24T07:38:24Z","title":"PromptNER: Prompting For Named Entity Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15444","snapshot_observed_at":"2026-08-05T10:31:33.772060Z","title":"arXiv preprint arXiv:2305.15444","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.772060Z"},"links":{"cited_paper":"/paper/2305.15444","citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:3c0a95f5a1ffd1179bf02f2e67d07b135425ff1cb3f75f48dc363e6452ada3ab","observation_id":"89650e29-2556-42d9-8faf-d4741d0d9f8c","resolution":{"observed_at":"2026-08-05T10:31:33.772060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17428","last_updated":"2025-02-25T00:35:18Z","snapshot_observed_at":"2026-08-14T08:11:36.232487Z","submitted_at":"2024-05-27T17:59:45Z","title":"NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17428","snapshot_observed_at":"2026-08-05T10:31:33.795021Z","title":"arXiv preprint arXiv:2405.17428","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.795021Z"},"links":{"cited_paper":"/paper/2405.17428","citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:5d5d5285c475e6b6f9bd98055d112b8c776bbb7737fc9e5e3deb352871ce94a0","observation_id":"69db6c84-a650-4059-a9cb-49a1ec41239a","resolution":{"observed_at":"2026-08-05T10:31:33.795021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07999","last_updated":"2025-08-28T09:31:57Z","snapshot_observed_at":"2026-08-06T15:15:48.072084Z","submitted_at":"2025-08-11T14:03:09Z","title":"WideSearch: Benchmarking Agentic Broad Info-Seeking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.07999","snapshot_observed_at":"2026-08-05T10:31:33.815934Z","title":"arXiv preprint arXiv:2508.07999","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:33.815934Z"},"links":{"cited_paper":"/paper/2508.07999","citing_paper":"/paper/2509.04011"},"observation_digest":"sha256:f139c2498385579127f31bf947a80cae65d6b0f98f8d52dd92f73581c34d08b3","observation_id":"7f01ba95-78cd-403e-96ef-92bfbb0755aa","resolution":{"observed_at":"2026-08-05T10:31:33.815934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.04011","last_updated":"2025-09-04T08:42:23Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-12T16:26:46.926000Z","submitted_at":"2025-09-04T08:42:23Z","title":"NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":15},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.04011."}