{"as_of":"2026-08-15T01:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:203706c60657d1be581615ab9e03eb8d98fc5d619c83f59f6ccc0cdc7ef88720","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:30:47.644063Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/1908.05009/citation-record","integrity":"/paper/1908.05009/integrity","json":"/paper/1908.05009/citation-record.json","paper":"/paper/1908.05009"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1511.08308","last_updated":"2016-07-19T05:02:51Z","snapshot_observed_at":"2026-08-14T22:21:14.972472Z","submitted_at":"2015-11-26T07:40:33Z","title":"Named Entity Recognition with Bidirectional LSTM-CNNs","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.08308","snapshot_observed_at":"2026-08-14T13:30:47.526985Z","title":"arXiv preprint arXiv:1511.08308 (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.526985Z"},"links":{"cited_paper":"/paper/1511.08308","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:87ef72cd62607f39d716428a895099fe9a4be0c083d57c0ae1d5339885657a85","observation_id":"0048e4ac-87b6-4f31-92eb-900a1860a28f","resolution":{"observed_at":"2026-08-14T13:30:47.526985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.08370","last_updated":"2018-09-22T02:39:32Z","snapshot_observed_at":"2026-08-14T18:25:04.844244Z","submitted_at":"2018-09-22T02:39:32Z","title":"Semi-Supervised Sequence Modeling with Cross-View Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.08370","snapshot_observed_at":"2026-08-14T13:30:47.532705Z","title":"arXiv preprint arXiv:1809.08370 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.532705Z"},"links":{"cited_paper":"/paper/1809.08370","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:502e9b5fee1620e5ef2c91d280e808253c23593afc3bf3e288cc675351d32b12","observation_id":"3c6079f8-2725-4a2d-aec1-56add8f8049d","resolution":{"observed_at":"2026-08-14T13:30:47.532705Z","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":"2026-08-14T13:30:48.037701Z","title":"Journal of Machine Learning Research 12(Aug), 2493–2537 (2011)","venue":null,"work_id":"c8d2b765-4fee-4733-adc4-14fd658df5a5","year":2011},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.538358Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:baa8596dfce26b3d6c1d941fa3f6c5367b7e1268d23a18168833742e1ddb6be4","observation_id":"f00f2d4b-d554-4334-8285-589560fb395a","resolution":{"observed_at":"2026-08-14T13:30:48.042183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-14T13:30:47.542859Z","title":"arXiv preprint arXiv:1810.04805 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.542859Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:0caafbdf229ae57dae32144cf1403313229e7b0b3c563fd5445ca6d8f7956da3","observation_id":"4609ce7c-bffb-4f25-926b-15f7f28bcabe","resolution":{"observed_at":"2026-08-14T13:30:47.542859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.05538","last_updated":"2017-02-17T23:13:15Z","snapshot_observed_at":"2026-08-14T21:15:56.166950Z","submitted_at":"2017-02-17T23:13:15Z","title":"Dataset Augmentation in Feature Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.05538","snapshot_observed_at":"2026-08-14T13:30:47.547181Z","title":"arXiv preprint arXiv:1702.05538 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.547181Z"},"links":{"cited_paper":"/paper/1702.05538","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:a86a60cee28b76ea8bfff508e534868f699343ad840ba9262af7add4cf7bab8a","observation_id":"4b289948-cb32-44ec-9ab1-79c062c74326","resolution":{"observed_at":"2026-08-14T13:30:47.547181Z","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":"2026-08-14T13:30:48.024658Z","title":"Bioinformatics 33(14), i37–i48 (2017)","venue":null,"work_id":"af4a2639-1595-4638-bbe2-ee15c4ecd68d","year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.551426Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:9908e10c4d3b0247a51075a6dcda38181e07294f8d74c06c0a8b2f0afce77537","observation_id":"b68bcd6d-78cd-4975-b0b1-d39d17be131f","resolution":{"observed_at":"2026-08-14T13:30:48.029361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:48.012094Z","title":"In: Proceedings of IJCAI 2019 (2019) 10 Zhu et al","venue":null,"work_id":"c062a4f3-b937-4f3f-abc0-79b0998fef14","year":2019},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.556765Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:c98eeed40c5634a5d57b62f09512adee75d03a9346bce0cf29dcb3fe5788fbc4","observation_id":"b83170e4-0431-4ae7-90fb-bd9e3d1b67e0","resolution":{"observed_at":"2026-08-14T13:30:48.016467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.998796Z","title":"In: Proceedings of ICLR 2019 (2019)","venue":null,"work_id":"df5e2c94-7510-4c2e-b0b6-7d18a2087cb2","year":2019},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.560910Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:c210eb7b7dbfd93f40ed4fd6b9f2d90cce69e4361c5925bc42da584b58136455","observation_id":"30fea7a2-b540-4e6e-8336-af3122209901","resolution":{"observed_at":"2026-08-14T13:30:48.003130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.986996Z","title":"In: Proceedings of COLING 2016 (2016)","venue":null,"work_id":"bc098789-c1d2-4f58-bc05-343f40c25668","year":2016},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.564618Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:8c78c43ec641c4eeddd2185ee679653579b406f964b58e2977465af1a020afd2","observation_id":"f2cf8ba3-a438-4ac3-ba9e-ad402fa8308c","resolution":{"observed_at":"2026-08-14T13:30:47.990877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.973222Z","title":"Journal of cheminformatics 3(1), 41 (2011)","venue":null,"work_id":"96316022-341d-45a5-a27c-84c92a3136f4","year":2011},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.568248Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:4c7bf7f16dedd47c260b5dc760b0355b75a3c958bfa02f52f32271bbfd48c13c","observation_id":"459c369f-2fdb-48dd-855c-165ea6233aec","resolution":{"observed_at":"2026-08-14T13:30:47.977597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.959818Z","title":"In: Proceedings of NeuIPS 2014 (2014)","venue":null,"work_id":"8228fa80-93ef-456d-a6a8-9c0c9c1d0620","year":2014},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.572014Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:ef38d7c2d2ff3444e2dee01f6b16c6c802e073360b1b6fad5cb119653aca02b6","observation_id":"131c6ba6-aaee-4a52-8a25-09a1e715792b","resolution":{"observed_at":"2026-08-14T13:30:47.964375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.947793Z","title":"Bioinformatics 32(2), 276–282 (2015)","venue":null,"work_id":"858de8ce-a765-4d73-9623-37e7a13c6914","year":2015},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.576294Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:c84c250cd51cd3f87b3f90536389cb1351cb8f995504dff520a82b8632ee6c14","observation_id":"897365f6-425c-4b4d-963c-6df3d83114fa","resolution":{"observed_at":"2026-08-14T13:30:47.951811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.935446Z","title":null,"venue":null,"work_id":"a2fddbc8-beae-41a4-ba1b-33c809a1150c","year":2001},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.580176Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:2b9dc3ba449eb27a9c3a5e0a24e6d2f32731c85caf55fc4770d590a5d0c8cb4f","observation_id":"babc08ae-78f4-42be-9427-055700d5d9cd","resolution":{"observed_at":"2026-08-14T13:30:47.939306Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.01360","last_updated":"2016-04-07T15:09:36Z","snapshot_observed_at":"2026-08-14T22:07:32.980837Z","submitted_at":"2016-03-04T06:36:29Z","title":"Neural Architectures for Named Entity Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.01360","snapshot_observed_at":"2026-08-14T13:30:47.584221Z","title":"arXiv preprint arXiv:1603.01360 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.584221Z"},"links":{"cited_paper":"/paper/1603.01360","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:94ef68a2cf803f3e3d15a7458d8a7f1d7d97053ac36141f4b1ecce8f91d02e6c","observation_id":"e5d317aa-995f-45a4-93ae-e739c41a62c1","resolution":{"observed_at":"2026-08-14T13:30:47.584221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.01354","last_updated":"2016-05-29T00:42:15Z","snapshot_observed_at":"2026-08-14T22:07:33.048779Z","submitted_at":"2016-03-04T05:55:02Z","title":"End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.01354","snapshot_observed_at":"2026-08-14T13:30:47.588558Z","title":"arXiv preprint arXiv:1603.01354 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.588558Z"},"links":{"cited_paper":"/paper/1603.01354","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:19453f3b6248d0e9a48011bee2d683584787ca72adfa6d32d21ab3b5edfd8b06","observation_id":"d7030c60-85ea-49e1-ab42-336177f6c2a1","resolution":{"observed_at":"2026-08-14T13:30:47.588558Z","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":"2026-08-14T13:30:47.922096Z","title":"In: Proceedings of ACL 2009 (2009)","venue":null,"work_id":"48b177e8-e8cd-426f-b295-46e30cf8fff9","year":2009},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.593241Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:a4161d842da6ad955f11f44e43a0b906c9ee8454e940be22751e67550a15546a","observation_id":"a7a9c2a5-e3ad-41d6-bca9-4a1ac95a69d6","resolution":{"observed_at":"2026-08-14T13:30:47.926138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.02459","last_updated":"2017-07-08T16:17:04Z","snapshot_observed_at":"2026-08-14T20:48:53.633267Z","submitted_at":"2017-07-08T16:17:04Z","title":"Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping","version":1},"cited_work":{"arxiv_id":"1707.02459","doi":null,"metadata_source":"pith","pith_arxiv_id":"1707.02459","snapshot_observed_at":"2026-08-14T13:30:47.739250Z","title":"Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping","venue":"cs.CL","work_id":"89955864-4b33-4aa0-8db4-c144752c3f00","year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.598104Z"},"links":{"cited_paper":"/paper/1707.02459","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:6dcc04e4f6dcb3f28e69dc9b561ee3d13e4f5a9725bdd4b724da6a48725a8929","observation_id":"87e6dc77-4458-43b4-8b01-0f13c363c3a4","resolution":{"observed_at":"2026-08-14T13:30:47.743892Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.05365","last_updated":"2018-03-22T21:59:40Z","snapshot_observed_at":"2026-08-14T19:45:43.957260Z","submitted_at":"2018-02-15T00:05:11Z","title":"Deep contextualized word representations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.05365","snapshot_observed_at":"2026-08-14T13:30:47.601989Z","title":"arXiv preprint arXiv:1802.05365 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.601989Z"},"links":{"cited_paper":"/paper/1802.05365","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:f7c92bb0b3192dc45006adf3b6bbb79a245a08183d098577ceaf398ddffc8e37","observation_id":"1d76ed58-712b-49e8-8db4-d1bdbdbeb985","resolution":{"observed_at":"2026-08-14T13:30:47.601989Z","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":"2026-08-14T13:30:47.910222Z","title":"In: Proceedings of CoNLL 2009","venue":null,"work_id":"4d51c89e-896d-4384-ba47-2c01c7c738df","year":2009},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.606010Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:3ec34991ee5961f6e866274a6731aa309037222648576c1f9e50915daed6dcf4","observation_id":"fc011a33-4339-48a0-a7b2-496c81a2b29a","resolution":{"observed_at":"2026-08-14T13:30:47.914432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.897606Z","title":"Bioinformatics 28(12), 1633–1640 (2012)","venue":null,"work_id":"cc1dc127-8240-454f-9204-d75fc3cd025b","year":2012},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.609765Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:396fcbb9e4742c7d373c09458483a51f045fc1840f3785d03eeec535e0b3d1a3","observation_id":"629ea708-19b3-4196-a5e6-8e10df6cb3e6","resolution":{"observed_at":"2026-08-14T13:30:47.902462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.885263Z","title":"In: Proceedings of IJCNLP 2017 (2017)","venue":null,"work_id":"e5a410da-b324-4b4c-875b-559b50ebce45","year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.613453Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:2057596d6f03a95f00f3d62e6e9e0fe5c34ed5fe2290ca6bbf596cf5574b4b79","observation_id":"137d84bc-06fb-4b2b-b609-2863bf3e5c8b","resolution":{"observed_at":"2026-08-14T13:30:47.889536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.869571Z","title":"In: Proceedings of CoNLL 2002 (2002)","venue":null,"work_id":"0536e351-01cf-4abd-93df-fc869cef06ba","year":2002},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.616843Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:ab899b25dd033bf11a2bc854ff1f1b38217c3e206994fa09a01e3392afd7671e","observation_id":"868aa773-f9ee-4ca6-bf9d-7a44d38b3e20","resolution":{"observed_at":"2026-08-14T13:30:47.873575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.857107Z","title":"In: Proceedings of COLING 2014","venue":null,"work_id":"3727eeda-70e3-456e-b93e-9126eb096660","year":2014},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.620159Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:7219f6cd8b92fbeb7c4b81cfaeb7675c8796a5164d79834570d41f25e2ee0775","observation_id":"15f83e22-8d03-4693-874a-1cad163f0ce5","resolution":{"observed_at":"2026-08-14T13:30:47.861103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.845057Z","title":"In: Proceedings of HLT-NAACL","venue":null,"work_id":"602eb781-e831-4d31-ab42-5ece0d7fd322","year":2003},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.623734Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:10821c8e867942abb681adc241a9213b87408731f201701d364d33113794fd51","observation_id":"174a68b0-35f5-418e-9aa5-a7c902598278","resolution":{"observed_at":"2026-08-14T13:30:47.848843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.07010","last_updated":"2019-06-11T01:51:12Z","snapshot_observed_at":"2026-08-14T20:12:12.058723Z","submitted_at":"2017-11-19T12:29:59Z","title":"A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.07010","snapshot_observed_at":"2026-08-14T13:30:47.627255Z","title":"arXiv preprint arXiv:1711.07010 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.627255Z"},"links":{"cited_paper":"/paper/1711.07010","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:2595ee4421f69572e663156d63c3b1317bf61f48f38469c2b837e37f3d1830a0","observation_id":"35c86d80-a678-45e1-b861-b99663f0f45f","resolution":{"observed_at":"2026-08-14T13:30:47.627255Z","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":"2026-08-14T13:30:47.832571Z","title":"In: Proceedings COLING 2018 (2018)","venue":null,"work_id":"b457bfd1-1427-4399-9171-b4d3ba5bb5b6","year":2018},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.631037Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:bc28cd9392a4d9d27b3af7874ae599b58e614de89251d93cba0972efb6dc548d","observation_id":"82436738-a674-4019-9649-bb4aaaf7cbf5","resolution":{"observed_at":"2026-08-14T13:30:47.836722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.06345","last_updated":"2017-03-18T20:21:44Z","snapshot_observed_at":"2026-08-14T21:11:11.065519Z","submitted_at":"2017-03-18T20:21:44Z","title":"Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.06345","snapshot_observed_at":"2026-08-14T13:30:47.635043Z","title":"arXiv preprint arXiv:1703.06345 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.635043Z"},"links":{"cited_paper":"/paper/1703.06345","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:c76f298d74c76874d00ddb3dc62bdc07e4bf178f06dbffddc23fee36f603e054","observation_id":"3fc5f97c-a88a-45bf-9a65-1c996d5e5347","resolution":{"observed_at":"2026-08-14T13:30:47.635043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.06393","last_updated":"2017-04-21T04:36:55Z","snapshot_observed_at":"2026-08-14T21:05:39.770020Z","submitted_at":"2017-04-21T04:36:55Z","title":"Neural System Combination for Machine Translation","version":1},"cited_work":{"arxiv_id":"1704.06393","doi":null,"metadata_source":"pith","pith_arxiv_id":"1704.06393","snapshot_observed_at":"2026-08-14T13:30:47.678412Z","title":"Neural System Combination for Machine Translation","venue":"cs.CL","work_id":"1b8883c9-5d6a-49b9-8511-aa0bdc76449e","year":2017},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.639118Z"},"links":{"cited_paper":"/paper/1704.06393","citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:05b99fceed72c211f7a5ee630c8780586def144d901bd5c6b55aefcab6c881a0","observation_id":"81493301-a1c4-4add-9470-92ecc263fcc8","resolution":{"observed_at":"2026-08-14T13:30:47.685170Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T13:30:47.819625Z","title":"In: Proceedings of BI 2016","venue":null,"work_id":"f5c4db93-44f0-4ae0-af92-210166f45a7f","year":2016},"citing_paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:30:47.644063Z"},"links":{"citing_paper":"/paper/1908.05009"},"observation_digest":"sha256:e0dba3ac74db54923f2fb5ed633cbe30abe6f1c94733251e36bf075c6f66fb10","observation_id":"725f799d-e657-4278-868a-ecca53c8187e","resolution":{"observed_at":"2026-08-14T13:30:47.824009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.05009","last_updated":"2019-08-14T08:06:14Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T18:21:54.572782Z","submitted_at":"2019-08-14T08:06:14Z","title":"FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":29},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.05009."}