{"as_of":"2026-08-20T10:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac19c110ced0543c603706061ecb06ab6fd3d1e032950d577235f7fcc607ba42","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T10:06:40.141111Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/1909.00080/citation-record","integrity":"/paper/1909.00080/integrity","json":"/paper/1909.00080/citation-record.json","paper":"/paper/1909.00080"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1408.5882","last_updated":"2014-09-03T03:09:02Z","snapshot_observed_at":"2026-08-14T23:21:58.977221Z","submitted_at":"2014-08-25T19:48:04Z","title":"Convolutional Neural Networks for Sentence Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1408.5882","snapshot_observed_at":"2026-08-14T10:06:40.102352Z","title":"arXiv preprint arXiv:1408.5882","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.102352Z"},"links":{"cited_paper":"/paper/1408.5882","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:1c768cc626762796482a8aede3a3b253de36b15e36b483d445bd455f98b5fdb5","observation_id":"4654a1ae-adeb-42a0-99da-69d84ab1bfe8","resolution":{"observed_at":"2026-08-14T10:06:40.102352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.03827","last_updated":"2016-03-12T00:02:51Z","snapshot_observed_at":"2026-08-17T12:17:40.486056Z","submitted_at":"2016-03-12T00:02:51Z","title":"Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.03827","snapshot_observed_at":"2026-08-14T10:06:40.106885Z","title":"arXiv preprint arXiv:1603.03827","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.106885Z"},"links":{"cited_paper":"/paper/1603.03827","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:aa9914e3cedda35db5f35fa56b11de4b9bf2064e3c939dba3122c459029e259f","observation_id":"8bb068fe-c61b-495b-862d-1e2428dfd14a","resolution":{"observed_at":"2026-08-14T10:06:40.106885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.03609","last_updated":"2016-02-11T03:06:33Z","snapshot_observed_at":"2026-08-19T11:20:28.709019Z","submitted_at":"2016-02-11T03:06:33Z","title":"Attentive Pooling Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.03609","snapshot_observed_at":"2026-08-14T10:06:40.124796Z","title":"arXiv preprint arXiv:1602.03609","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.124796Z"},"links":{"cited_paper":"/paper/1602.03609","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:9a3de24be332ebd985e6e6802f3c4da73b68f59675488eb82bd8932c04b18a79","observation_id":"65af4476-f8f9-418e-8ca7-1372e90dd8b9","resolution":{"observed_at":"2026-08-14T10:06:40.124796Z","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":"2026-08-14T10:06:40.300311Z","title":"The Journal of Machine Learning Research, 15(1):1929–1958","venue":null,"work_id":"ce5fcd63-0085-4217-b358-114ed5fd433c","year":1929},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.132775Z"},"links":{"citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:8624da9a6c950712415d828a014677a0c6a99148ddaae4d7d827d28e934bc724","observation_id":"84407a07-2122-4d87-9d20-c82281adb4eb","resolution":{"observed_at":"2026-08-14T10:06:40.304074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T10:06:40.288439Z","title":"In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 1480–1489","venue":null,"work_id":"1e6d5d11-0c76-4ed2-b81f-972e537c58c8","year":2016},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.137164Z"},"links":{"citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:8e8e033121d2b6596f9a7993abf8985e7cc1230af6f07473db98236eee0070da","observation_id":"273f2d53-6448-4196-b4ef-b0e2967cac92","resolution":{"observed_at":"2026-08-14T10:06:40.292644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.08630","last_updated":"2015-11-30T07:20:46Z","snapshot_observed_at":"2026-08-18T09:41:12.597582Z","submitted_at":"2015-11-27T11:44:17Z","title":"A C-LSTM Neural Network for Text Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.08630","snapshot_observed_at":"2026-08-14T10:06:40.141111Z","title":"it is also stupider","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.141111Z"},"links":{"cited_paper":"/paper/1511.08630","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:0c794db4aad616449ea07b93ec134f47fd811e52381bfee410b26c11b04ce8ac","observation_id":"dd9712a5-2b17-46f7-afac-0798e3dc14e2","resolution":{"observed_at":"2026-08-14T10:06:40.141111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.01338","last_updated":"2019-05-03T18:38:39Z","snapshot_observed_at":"2026-08-17T12:17:28.774631Z","submitted_at":"2019-05-03T18:38:39Z","title":"Effectiveness of Self Normalizing Neural Networks for Text Classification","version":1},"cited_work":{"arxiv_id":"1905.01338","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.01338","snapshot_observed_at":"2026-08-14T10:06:40.199208Z","title":"Effectiveness of Self Normalizing Neural Networks for Text Classification","venue":"cs.CL","work_id":"961e1175-ec60-46ad-aaa8-9bc3d92d4633","year":2019},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.120485Z"},"links":{"cited_paper":"/paper/1905.01338","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:aa8671bbab1d4a66b075d828997781e2cb935c5c53001cb297827cb94821c80e","observation_id":"ed4ef322-9d71-46a7-8691-7ca406097c2e","resolution":{"observed_at":"2026-08-14T10:06:40.206497Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T10:06:40.311399Z","title":"In Proceedings of the 2013 conference on empirical methods in natural language processing , pages 1631–1642","venue":null,"work_id":"b703fc50-7b83-4897-ba18-dfe816e3c953","year":2013},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.128833Z"},"links":{"citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:7dfcf24d9aafe07a06e4cd6286fb591a6ecd98276585ac6e77de593e71101bc3","observation_id":"b01f4520-4866-4b59-aabe-e2b252981e6e","resolution":{"observed_at":"2026-08-14T10:06:40.315956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.0473","last_updated":"2016-05-19T21:53:22Z","snapshot_observed_at":"2026-08-18T12:17:42.484599Z","submitted_at":"2014-09-01T16:33:02Z","title":"Neural Machine Translation by Jointly Learning to Align and Translate","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.0473","snapshot_observed_at":"2026-08-14T10:06:40.087119Z","title":"arXiv preprint arXiv:1409.0473","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.087119Z"},"links":{"cited_paper":"/paper/1409.0473","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:1ea56e85b580fc5e81dd18f6b2fc8fe00e0db9e59c66813263723f19cfc9f854","observation_id":"da64e77d-a87a-46e4-ba30-3d99c524cab9","resolution":{"observed_at":"2026-08-14T10:06:40.087119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1508.04025","last_updated":"2015-09-20T08:25:52Z","snapshot_observed_at":"2026-08-17T15:11:45.779750Z","submitted_at":"2015-08-17T13:43:19Z","title":"Effective Approaches to Attention-based Neural Machine Translation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.04025","snapshot_observed_at":"2026-08-14T10:06:40.116516Z","title":"arXiv preprint arXiv:1508.04025","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.116516Z"},"links":{"cited_paper":"/paper/1508.04025","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:eb1efc44023c66cbfb979642916d2f3b7bea4652090e79f9310c0427a098b6b7","observation_id":"894e50ae-cbe9-49a0-a09e-78bc0ef73c98","resolution":{"observed_at":"2026-08-14T10:06:40.116516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01781","last_updated":"2017-01-27T12:49:11Z","snapshot_observed_at":"2026-08-18T17:14:39.531760Z","submitted_at":"2016-06-06T15:14:50Z","title":"Very Deep Convolutional Networks for Text Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.01781","snapshot_observed_at":"2026-08-14T10:06:40.092958Z","title":"arXiv preprint arXiv:1606.01781","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.092958Z"},"links":{"cited_paper":"/paper/1606.01781","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:0d8722fa621a8344be7b7296b4b3612144f5a56a4e769ab7443a7ab424e9e216","observation_id":"90842cfc-8d6c-4492-b33e-34475c73c2d2","resolution":{"observed_at":"2026-08-14T10:06:40.092958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03130","last_updated":"2017-03-09T04:42:30Z","snapshot_observed_at":"2026-08-15T02:02:17.537628Z","submitted_at":"2017-03-09T04:42:30Z","title":"A Structured Self-attentive Sentence Embedding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.03130","snapshot_observed_at":"2026-08-14T10:06:40.111626Z","title":"arXiv preprint arXiv:1703.03130","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.111626Z"},"links":{"cited_paper":"/paper/1703.03130","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:480ddeaa22ddfe671a767f8be308b245e5e6eb2e2f04a9e6d695edf14e129acb","observation_id":"dd105ede-69ad-433c-9517-da7b0fee0b96","resolution":{"observed_at":"2026-08-14T10:06:40.111626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-14T10:06:40.097677Z","title":"arXiv preprint arXiv:1810.04805","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T10:06:40.097677Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/1909.00080"},"observation_digest":"sha256:ab6601b70d20ab07697cb0396b15391147ba8a2d5b9f78ad5ceb693ff06de6ed","observation_id":"079fbb3e-833b-40c2-9010-d2131e93d17d","resolution":{"observed_at":"2026-08-14T10:06:40.097677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1909.00080","last_updated":"2019-09-12T20:25:01Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T22:04:54.003048Z","submitted_at":"2019-08-30T22:10:52Z","title":"Sequential Learning of Convolutional Features for Effective Text Classification"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":13},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:1909.00080."}