{"as_of":"2026-08-10T15:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:58edd14457aa4d2988ec4ce64d48c8d85ad710b7b33f11fb4020ce5f9ff82a0b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T13:45:29.093919Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":15,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.14084","last_updated":"2023-09-25T12:23:37Z","snapshot_observed_at":"2026-07-06T16:23:14.402177Z","submitted_at":"2023-09-25T12:23:37Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14084","snapshot_observed_at":"2026-08-10T13:45:29.093919Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges, September 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16112","last_updated":"2025-01-27T15:04:00Z","snapshot_observed_at":"2026-08-10T13:41:25.436816Z","submitted_at":"2025-01-27T15:04:00Z","title":"Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T13:45:29.093919Z"},"links":{"cited_paper":"/paper/2309.14084","citing_paper":"/paper/2501.16112"},"observation_digest":"sha256:c8dd8dffac89b6dc584283bff1479d359a9e5be7491a9ae574d51a29895795b4","observation_id":"e4d5bd3e-5ef7-49d4-8db7-a9e5793e3c6c","resolution":{"observed_at":"2026-08-10T13:45:29.093919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14084","last_updated":"2023-09-25T12:23:37Z","snapshot_observed_at":"2026-07-06T16:23:14.402177Z","submitted_at":"2023-09-25T12:23:37Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14084","snapshot_observed_at":"2026-08-09T22:40:44.349730Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18750","last_updated":"2025-01-30T21:00:47Z","snapshot_observed_at":"2026-08-09T22:34:58.628689Z","submitted_at":"2025-01-30T21:00:47Z","title":"Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-09T22:40:44.349730Z"},"links":{"cited_paper":"/paper/2309.14084","citing_paper":"/paper/2501.18750"},"observation_digest":"sha256:08c005720c7ed4c03a2cbecbad3208d85d0980659875983c53d85103658f169e","observation_id":"8a4f87dd-d839-475f-a9c5-4dd5405d99d8","resolution":{"observed_at":"2026-08-09T22:40:44.349730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14084","last_updated":"2023-09-25T12:23:37Z","snapshot_observed_at":"2026-07-06T16:23:14.402177Z","submitted_at":"2023-09-25T12:23:37Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14084","snapshot_observed_at":"2026-08-09T12:24:19.775538Z","title":"Comprehensive overview of named entit y recognition: Models, domain-speciﬁc applications and challenges","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02391","last_updated":"2025-02-04T15:13:40Z","snapshot_observed_at":"2026-08-09T12:16:44.379059Z","submitted_at":"2025-02-04T15:13:40Z","title":"FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T12:24:19.775538Z"},"links":{"cited_paper":"/paper/2309.14084","citing_paper":"/paper/2502.02391"},"observation_digest":"sha256:54fc00d6a089407edbf16cb240ebea38ce1c2e60dc18f527249fdeea3a4f523f","observation_id":"b83fc8c0-d1e0-464d-8a45-d8f0ed976ac5","resolution":{"observed_at":"2026-08-09T12:24:19.775538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14084","last_updated":"2023-09-25T12:23:37Z","snapshot_observed_at":"2026-07-06T16:23:14.402177Z","submitted_at":"2023-09-25T12:23:37Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges","version":1},"cited_work":{"arxiv_id":"2309.14084","doi":"10.48550/arxiv.2309.14084","metadata_source":"pith","pith_arxiv_id":"2309.14084","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges","venue":"cs.CL","work_id":"9874b56b-dcc7-421a-8744-db14f7f8edb3","year":2023},"citing_paper":{"arxiv_id":"2502.04351","last_updated":"2025-02-04T16:54:23Z","snapshot_observed_at":"2026-08-09T11:57:14.174738Z","submitted_at":"2025-02-04T16:54:23Z","title":"NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-09T12:05:57.499536Z"},"links":{"cited_paper":"/paper/2309.14084","citing_paper":"/paper/2502.04351"},"observation_digest":"sha256:34ed50e1b943fca1a4a92800074fff384c73fde49d35d25cf6fdbc1ba5c64a23","observation_id":"845b16e5-7110-4964-abdb-967fdeac13b3","resolution":{"observed_at":"2026-08-09T12:05:57.675044Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.14084/citation-record","integrity":"/paper/2309.14084/integrity","json":"/paper/2309.14084/citation-record.json","paper":"/paper/2309.14084"},"outbound":[],"paper":{"arxiv_id":"2309.14084","last_updated":"2023-09-25T12:23:37Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T16:23:14.402177Z","submitted_at":"2023-09-25T12:23:37Z","title":"Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.14084."}