{"as_of":"2026-08-16T16:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8c589e8171d726327a28aaa3662061d7224feaebbdfe41bb040a1cac4743261","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:20:43.723637Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.05378/citation-record","integrity":"/paper/1908.05378/integrity","json":"/paper/1908.05378/citation-record.json","paper":"/paper/1908.05378"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:20:44.258566Z","title":"Journal of machine learning research 3(Feb):1137–1155","venue":null,"work_id":"ff095e0d-03ec-4c8c-b0fa-74456be11c3d","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.585861Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:9d261ecd3c9f8916d7057aec122bda1893f2acbb3f356e15258d5a4dde9654df","observation_id":"c44bb32a-4cb1-4e4d-9663-d4ed79d342ee","resolution":{"observed_at":"2026-08-14T13:20:44.262807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.195202Z","title":"Proceedings of NAACL","venue":null,"work_id":"03e5e7bf-5edb-42b2-98ac-16a7900b1fb5","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.600686Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:268d58ee01043e03a59735d860b484561f5703cf60d4a8e47ce5df6433b93d27","observation_id":"a3e2f4cf-8c24-486c-bee3-8a49ffa1f0ee","resolution":{"observed_at":"2026-08-14T13:20:44.199163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.182800Z","title":null,"venue":null,"work_id":"9fd9e4cf-811d-492f-b710-e409c83cae4e","year":2019},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.604548Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:509eb535aa0b5c58bfb7d4e9af414debb4101507a778da10098fe05030dd1687","observation_id":"1036b661-0592-425b-85ce-d94dc6e15131","resolution":{"observed_at":"2026-08-14T13:20:44.187247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.171206Z","title":null,"venue":null,"work_id":"b68f61cb-3da2-4a67-826d-1c0acc8d41e7","year":2015},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.608155Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:5bedcdb77dd6630ef77e7178f4e3b9b9383a764daaaa30871ca4241978348372","observation_id":"827083f2-2651-4512-af5c-ed2009910f2b","resolution":{"observed_at":"2026-08-14T13:20:44.174976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.157967Z","title":null,"venue":null,"work_id":"dfc12b90-48b2-4cc2-9852-e8b578a4dd7b","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.611703Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:cbbac03024dd19c155c3fbf530a540084e39d660d75d10f680e3dd6a2ebd20c0","observation_id":"c70d8a4b-0e35-47c9-bc5e-d074cd3bc6eb","resolution":{"observed_at":"2026-08-14T13:20:44.162263Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.146137Z","title":"In Proceedings of CVPR , 3636– 3645","venue":null,"work_id":"c3809832-1212-4a8d-ad8e-158637c30b8d","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.615208Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:2ddbf5f739e663d8ac07414db4583f789481a9616f0996b3b253293fdccefa70","observation_id":"fa687cc6-f8d7-4beb-b996-4e62d6005405","resolution":{"observed_at":"2026-08-14T13:20:44.150401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.110862Z","title":"In icassp, 517–520","venue":null,"work_id":"c3226e9d-114e-4bbd-9fcb-8f6132c11427","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.626764Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:9fa5f138b3cb35afcca74091d93a6afbc669d198d9d231e1ee02fd5c9600e2fd","observation_id":"8e3a1eea-943a-4c14-bfc6-45cf00db4b74","resolution":{"observed_at":"2026-08-14T13:20:44.114593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.085896Z","title":null,"venue":null,"work_id":"6aa136bb-553f-4673-9ea3-a4d4de62acd5","year":2015},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.635879Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:5a9eb2988ef0c9cca915d5e045476aeda317a91d7de26c9dc846f03c93fc1dd2","observation_id":"ec8ac786-35e1-4644-8e22-8391df7884ad","resolution":{"observed_at":"2026-08-14T13:20:44.090212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01603","last_updated":"2017-06-06T02:47:41Z","snapshot_observed_at":"2026-08-14T21:54:06.572003Z","submitted_at":"2016-06-06T02:45:47Z","title":"Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution","version":3},"cited_work":{"arxiv_id":"1606.01603","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.01603","snapshot_observed_at":"2026-08-14T13:20:43.799293Z","title":"Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution","venue":"cs.CL","work_id":"1168de7f-9d71-4978-bac3-91c708e77a30","year":2016},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.645131Z"},"links":{"cited_paper":"/paper/1606.01603","citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:c85712a9c6f86672356f52dd54315e79d673013c1865ddf867c872d3e3867aad","observation_id":"6337f525-3630-4772-88db-931c8cae539b","resolution":{"observed_at":"2026-08-14T13:20:43.804100Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.046865Z","title":"J., and Johnson, M","venue":null,"work_id":"f8be74aa-60aa-47e0-849d-22f820e553bd","year":2017},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.648292Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:77b25230291a2297e9a1a7ac2d36ad6f05e232a16933e8881c3af69e53156743","observation_id":"f7f9fede-b487-4b7d-a133-8c0ef71ac798","resolution":{"observed_at":"2026-08-14T13:20:44.051702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.032976Z","title":null,"venue":null,"work_id":"4f85d568-b76d-4bd6-bd83-fee43b93ec9b","year":2017},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.651518Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:2030605f79b9f22acb6fca942c2863327e91269c626112fba2b014bc750f0da9","observation_id":"b934b8c6-68f7-4df3-91c9-9e89441ae39e","resolution":{"observed_at":"2026-08-14T13:20:44.037170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.003565Z","title":null,"venue":null,"work_id":"12fb5cab-4c59-4ccb-bf42-d6f98c3bac99","year":2017},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.657028Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:596dd4a4c1efcde8c59bd467b45a99381d1e00302b477e721a8da3f0d54aa208","observation_id":"4cb01990-8662-453d-afa9-25185fd0e4a2","resolution":{"observed_at":"2026-08-14T13:20:44.010252Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.986395Z","title":null,"venue":null,"work_id":"a91e30c9-ca0b-43c3-8269-41bf96983dc1","year":2018},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.660439Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:6429524cadd4990edf47079dcb158920cd0b7aede55047369b4a2db7d514dffa","observation_id":"22baba4e-a3b7-4754-b5ab-cbec81ce6b29","resolution":{"observed_at":"2026-08-14T13:20:43.990691Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.975512Z","title":null,"venue":null,"work_id":"e24750b1-51e4-4176-a170-5ab27dc8fbda","year":2013},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.664048Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:6bafcedd7e75d0baa2dbf16f5a6755d937fd978fb5befb7e66810e5a11b4d8cd","observation_id":"c07b0999-8a59-406c-833d-09b97ffcdf97","resolution":{"observed_at":"2026-08-14T13:20:43.979093Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.965213Z","title":null,"venue":null,"work_id":"65d1d899-17dd-40fa-bdce-7be3ea1b68f6","year":2018},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.667636Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:64c7d264090b6cdc2c1ca0e6024fdae909435a5e9c85ba0ae86628e67fb116a1","observation_id":"5b8b52bf-72de-4fa7-bc4a-22f135a304da","resolution":{"observed_at":"2026-08-14T13:20:43.968419Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.954881Z","title":"S., and Tetreault, J","venue":null,"work_id":"fdd973fc-834b-4b01-a6de-29c583c36f0e","year":2013},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.671422Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:f1f60c45582e3819569df1b926359165e45e65130106933c4993942dd42e8530","observation_id":"928c8248-04df-4bc4-81ea-ac199eca0119","resolution":{"observed_at":"2026-08-14T13:20:43.958615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.931200Z","title":"N.; Kaiser, Ł.; and Polosukhin, I","venue":null,"work_id":"aa6e7670-e2c5-4946-9f98-db04a1f160c0","year":2017},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.678527Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:134a0c5cdcf50822a09832e8296f4637d08daba408783b15717b96c38884074d","observation_id":"e6d5cf96-3100-4bc3-8c5c-c6e84f677556","resolution":{"observed_at":"2026-08-14T13:20:43.935829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.919647Z","title":null,"venue":null,"work_id":"2fa9a40d-4eec-4dfc-b47f-a273a4000360","year":2015},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.682123Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:b83c187408e71d28f05747c815c793b9660de2d081a7c2241bb9a4da346fff55","observation_id":"fd031f3a-c741-4757-96c8-eb1bfdcbae47","resolution":{"observed_at":"2026-08-14T13:20:43.923552Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.908065Z","title":null,"venue":null,"work_id":"0e2f82b4-358d-4d49-a60a-e449f6892f5d","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.685531Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:f0e1c5affd41cfe7a993dcdbc45a3524a4c88aba8e895ceec33039c6da0e5701","observation_id":"cd3dbaed-d688-45a8-a63d-c74ae0abde89","resolution":{"observed_at":"2026-08-14T13:20:43.912072Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.896396Z","title":"In Proceedings of EMNLP, 2785–2794","venue":null,"work_id":"950c9828-d0bb-4a6a-8570-cdccbe66b7ae","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.689108Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:83846b208003d80965c9f378c72f9cc42d913020fd069943360d0afc2d2409ca","observation_id":"9a69116a-0180-4be3-8713-0ef098968e07","resolution":{"observed_at":"2026-08-14T13:20:43.900383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.884922Z","title":null,"venue":null,"work_id":"23e9701c-ea1e-41db-bd44-686233fc0f28","year":2018},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.693533Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:55fb057cd872eef8fc314e0fbbfd8396a88ecc1e45cd1b0b9a906d0d29d998ef","observation_id":"b8c7f82d-e019-49b3-ab57-1d2a785b4e02","resolution":{"observed_at":"2026-08-14T13:20:43.888439Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.872929Z","title":null,"venue":null,"work_id":"ae30a6e9-f049-4a64-b7e4-6f117e974f75","year":2016},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.696968Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:2aa3d5272b18d8668c08c730cbc19c37e7f8694cfd272366c97c8c89412183af","observation_id":"3e403a3b-17b8-47b2-a25a-073fb394d8d2","resolution":{"observed_at":"2026-08-14T13:20:43.876448Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.859980Z","title":null,"venue":null,"work_id":"de0635a7-4a00-4efc-b001-d938ff4bc48a","year":2015},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.700766Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:abeba41ef11bb26b2afcd3e7a9022a99bb63b40380777992432ad8313f1bb7c9","observation_id":"09c857af-70f7-4911-a6d1-602633ad5a7c","resolution":{"observed_at":"2026-08-14T13:20:43.864540Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.846909Z","title":null,"venue":null,"work_id":"db50fa6a-b3b6-4e02-b42a-2030ab817053","year":2016},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.704560Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:08fb67d8059c71b42996f669c06cf71a9c6fbe2c379d9e7a22bdb8d91a14cb0b","observation_id":"275f4a70-eea5-4b89-b167-eeeebbd81f6e","resolution":{"observed_at":"2026-08-14T13:20:43.851900Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.07236","last_updated":"2018-11-17T22:34:20Z","snapshot_observed_at":"2026-08-14T17:57:22.014743Z","submitted_at":"2018-11-17T22:34:20Z","title":"Robust cross-domain disfluency detection with pattern match networks","version":1},"cited_work":{"arxiv_id":"1811.07236","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.07236","snapshot_observed_at":"2026-08-14T13:20:43.783064Z","title":"Robust cross-domain disfluency detection with pattern match networks","venue":"cs.CL","work_id":"dd14b578-8cfe-412b-98ed-08fd2f389a6f","year":2018},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.708168Z"},"links":{"cited_paper":"/paper/1811.07236","citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:2ee4075eb4d3572e296aad1270c1b58743e4e970675e484fed1e0278e68f2023","observation_id":"9bf821d7-406a-4ce7-ac74-305ed027f73e","resolution":{"observed_at":"2026-08-14T13:20:43.787413Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.04388","last_updated":"2019-04-08T22:47:37Z","snapshot_observed_at":"2026-08-14T16:49:38.862473Z","submitted_at":"2019-04-08T22:47:37Z","title":"Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection","version":1},"cited_work":{"arxiv_id":"1904.04388","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.04388","snapshot_observed_at":"2026-08-14T13:20:43.765745Z","title":"Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection","venue":"cs.CL","work_id":"8d762ff9-e3c6-4e9d-8033-5dc8ef83203d","year":2019},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.712205Z"},"links":{"cited_paper":"/paper/1904.04388","citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:326e53a7e05dfcee29051085b979aa74f6207de428aa969e7a6e4de6c0a219d5","observation_id":"2402db63-1c72-4b13-ae5a-b1329daf15c0","resolution":{"observed_at":"2026-08-14T13:20:43.771054Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.834612Z","title":null,"venue":null,"work_id":"523fb1bf-0012-4661-a4ab-04c242d88b78","year":2014},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.716069Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:f7ee93ab522269484621a1998cd0e99e56f49656c4f1bde371751a33b8c7df33","observation_id":"d8fcd67d-7f6d-4553-bfbe-fdd9af063f59","resolution":{"observed_at":"2026-08-14T13:20:43.838976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1604.03209","last_updated":"2016-04-12T02:34:00Z","snapshot_observed_at":"2026-08-15T03:24:06.760484Z","submitted_at":"2016-04-12T02:34:00Z","title":"Disfluency Detection using a Bidirectional LSTM","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1604.03209","snapshot_observed_at":"2026-08-14T13:20:43.719727Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.719727Z"},"links":{"cited_paper":"/paper/1604.03209","citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:1200cc0455a7056e0ac08a71f86d164687df24b8be2e4cba88421840ec51f089","observation_id":"0d294480-8290-409c-b280-6da8dd0b8012","resolution":{"observed_at":"2026-08-14T13:20:43.719727Z","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":"2026-08-14T13:20:44.121592Z","title":"J.; Holliman, E","venue":null,"work_id":"660b4ec1-9003-4b0b-9eb6-72cda64b751b","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":1992,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.623143Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:b57eb20219e647873999eed5f87c8f9a19673e1b8c2649d898bf76446c92528c","observation_id":"6b337aa1-a605-4140-888f-e1a81eed5dfb","resolution":{"observed_at":"2026-08-14T13:20:44.124763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.943808Z","title":null,"venue":null,"work_id":"ef677493-40c4-47d1-ae81-92fe9c3aee55","year":1994},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":1994,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.674948Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:1d8fd207d9853f27193da1b6113bcb2303901d24dfd108924b095c7112eebb88","observation_id":"0ed425b3-5eb4-4392-80b9-e60eecd9882e","resolution":{"observed_at":"2026-08-14T13:20:43.947592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.225508Z","title":null,"venue":null,"work_id":"0b0c18c1-de27-4e71-bf4a-732ef59a0fcf","year":2001},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.593519Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:db7a374b8bb4c9dc4463170e49782fa85914b751622d5c07c6f551ae85fad7ad","observation_id":"85e88cea-e52c-4816-add9-5b9e16566de7","resolution":{"observed_at":"2026-08-14T13:20:44.233388Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.271261Z","title":null,"venue":null,"work_id":"e63a5775-37de-4eaa-8878-cf31737811b3","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.582069Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:f9196f9f7423b2275bfcb968f1800c36973207b2b7c1398e07fdb9216a6bdec8","observation_id":"cbe9b975-101a-4d24-8fb5-749421f905ed","resolution":{"observed_at":"2026-08-14T13:20:44.275119Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.059620Z","title":null,"venue":null,"work_id":"19d31324-ccdb-4f86-a985-4fc10f90b114","year":2004},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.642061Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:3ec12acfa2d6af53e4266d463b956f2cbc368a9f17021edcd402232143cd77f9","observation_id":"8813a90b-2ec8-4bcf-be17-cb7ff8d4c696","resolution":{"observed_at":"2026-08-14T13:20:44.063257Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.131902Z","title":null,"venue":null,"work_id":"aae52944-0cd5-4bd0-b182-16d4143d4c11","year":2009},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.619381Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:2f7ea141481897d01d7d0de74998689e9269719986664a802b6067cd80d93e09","observation_id":"29c188fa-0dee-44d9-a2c9-512e62e77a6c","resolution":{"observed_at":"2026-08-14T13:20:44.136763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:43.821903Z","title":null,"venue":null,"work_id":"fb9a8df4-9ae9-4079-9d12-10c51cfb87de","year":2010},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.723637Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:0d8b4bf71b99d249b660279be8513a08c826db707c18b8635b167947e238233b","observation_id":"f058f982-eca5-4715-90ab-f1a7915413f5","resolution":{"observed_at":"2026-08-14T13:20:43.825646Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.020142Z","title":null,"venue":null,"work_id":"bcaffd5c-36d3-426f-866e-8111b0331c56","year":2013},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.654382Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:406b82f41139146c2bd1d058e3725cd828b9ace83e2cbf59a86c572524f0a6f9","observation_id":"4002953a-8e1b-45c0-b42c-e1da7f187c55","resolution":{"observed_at":"2026-08-14T13:20:44.024682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.099648Z","title":null,"venue":null,"work_id":"cbf43995-768b-43d0-b791-0a42c67a0ee7","year":2014},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.632998Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:00a6c8102984f64810ba7d7a5125fd51c694c12c81230beaff609cec53142657","observation_id":"866a43e3-9b74-4347-bfe4-0fc530827d1d","resolution":{"observed_at":"2026-08-14T13:20:44.103259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.283395Z","title":null,"venue":null,"work_id":"43fe19a8-1448-40f7-8107-0e1ff7c389c5","year":2015},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.577729Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:b3b04c5e6050d7477e20c9b947da2f0e1c9290a81a77918439d846a25a424867","observation_id":"afffb7f7-5edd-4969-8f98-2a598c0a7eb7","resolution":{"observed_at":"2026-08-14T13:20:44.287470Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-08-13T19:48:28.322536Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-14T13:20:43.629772Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.629772Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:72a7c6a219ebc8c60747195980253ea2eb1160aa5193d6f689a2c400f495accb","observation_id":"53619446-2e66-4be0-b822-6f61eabab303","resolution":{"observed_at":"2026-08-14T13:20:43.629772Z","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":"2026-08-14T13:20:44.243332Z","title":null,"venue":null,"work_id":"89dcd090-580a-47a0-bbc0-e5619023db6b","year":2017},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.589838Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:cef9437f402b3f8e8b318b2ef0a8fa92a5e124d945245bcd65d0eedf0ec29bc6","observation_id":"7c115a11-7503-42bb-8cfa-71e0404afe0b","resolution":{"observed_at":"2026-08-14T13:20:44.248551Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.071377Z","title":null,"venue":null,"work_id":"ff8c8812-6713-4647-ad66-cc3b472b1a27","year":2018},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.638938Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:ee3a94b38b6396c71bb34f8a8fd8489bd2608d57f190d28cbcf7ef4cf13773e0","observation_id":"8984184f-bc81-401c-b321-ea2a3bc2bfba","resolution":{"observed_at":"2026-08-14T13:20:44.075379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T13:20:44.207583Z","title":null,"venue":null,"work_id":"8f34be04-5ad9-4a7c-9c6b-922ebf0dc316","year":null},"citing_paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-14T13:20:43.597184Z"},"links":{"citing_paper":"/paper/1908.05378"},"observation_digest":"sha256:550e2a93c6a70bab590c544d4be547dbf8cdea8f40fd7d66383f3e06ed94d06f","observation_id":"eb1454e0-1d46-48d2-b9cc-22b21573a7c5","resolution":{"observed_at":"2026-08-14T13:20:44.212833Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.05378","last_updated":"2020-04-09T05:47:51Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:48:43.671865Z","submitted_at":"2019-08-15T00:22:38Z","title":"Multi-Task Self-Supervised Learning for Disfluency Detection"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":3,"verified_fuzzy":9},"total_outbound_references":42},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.05378."}