{"as_of":"2026-08-11T14:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ad638ae0b54ad7e2df29abc33546907ed62da9a3a2ddea0cf3b9d0bc1da38ca","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:16:54.415668Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T20:43:25.490383Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.11476","last_updated":"2026-07-29T07:00:17Z","snapshot_observed_at":"2026-08-01T23:08:56.388405Z","submitted_at":"2019-10-25T01:06:07Z","title":"A Unified MRC Framework for Named Entity Recognition","version":9},"cited_work":{"arxiv_id":"1910.11476","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.11476","snapshot_observed_at":"2026-07-22T00:22:10.316572Z","title":null,"venue":null,"work_id":"44759a41-83e3-493a-966e-3360e5e2017e","year":2019},"citing_paper":{"arxiv_id":"2409.11022","last_updated":"2026-05-15T09:10:20Z","snapshot_observed_at":"2026-08-01T08:31:26.233271Z","submitted_at":"2024-09-17T09:32:12Z","title":"DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition","version":7},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-23T20:40:09.530799Z"},"links":{"cited_paper":"/paper/1910.11476","citing_paper":"/paper/2409.11022"},"observation_digest":"sha256:884de9199977da53075bed52fabfe6673e175e443aa61c7a9e8a876ebff0bbd4","observation_id":"b8acede3-5901-4def-986c-d939453b88d9","resolution":{"observed_at":"2026-07-22T00:22:10.316572Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11476","last_updated":"2026-07-29T07:00:17Z","snapshot_observed_at":"2026-08-01T23:08:56.388405Z","submitted_at":"2019-10-25T01:06:07Z","title":"A Unified MRC Framework for Named Entity Recognition","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11476","snapshot_observed_at":"2026-08-08T13:16:54.415668Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.07286","last_updated":"2025-02-11T06:06:25Z","snapshot_observed_at":"2026-08-10T11:04:57.246793Z","submitted_at":"2025-02-11T06:06:25Z","title":"Small Language Model Makes an Effective Long Text Extractor","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T13:16:54.415668Z"},"links":{"cited_paper":"/paper/1910.11476","citing_paper":"/paper/2502.07286"},"observation_digest":"sha256:cb8657b902f55986dd048aef918b5f91461f5d0c8213d54027687f3f9b696023","observation_id":"a9e2be5a-3c69-4f7f-ad85-75f4387ebeb6","resolution":{"observed_at":"2026-08-08T13:16:54.415668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11476","last_updated":"2026-07-29T07:00:17Z","snapshot_observed_at":"2026-08-01T23:08:56.388405Z","submitted_at":"2019-10-25T01:06:07Z","title":"A Unified MRC Framework for Named Entity Recognition","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11476","snapshot_observed_at":"2026-08-07T10:18:58.442151Z","title":"A unified mrc frame- work for named entity recognition,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2506.05626","last_updated":"2025-06-29T19:40:42Z","snapshot_observed_at":"2026-08-09T00:16:45.140562Z","submitted_at":"2025-06-05T22:59:39Z","title":"Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods","version":2},"reference_index":184,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:58.442151Z"},"links":{"cited_paper":"/paper/1910.11476","citing_paper":"/paper/2506.05626"},"observation_digest":"sha256:403f5979507093eaaa2a9b04fd0319b5aa1764554a23120b42b72d4d2f5eedc7","observation_id":"81c458d0-8b20-4320-89d7-93bc49923fa4","resolution":{"observed_at":"2026-08-07T10:18:58.442151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1910.11476/citation-record","integrity":"/paper/1910.11476/integrity","json":"/paper/1910.11476/citation-record.json","paper":"/paper/1910.11476"},"outbound":[],"paper":{"arxiv_id":"1910.11476","last_updated":"2026-07-29T07:00:17Z","latest_version":9,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-01T23:08:56.388405Z","submitted_at":"2019-10-25T01:06:07Z","title":"A Unified MRC Framework for Named Entity Recognition"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.11476."}