{"as_of":"2026-08-19T21:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:24371c7730111db25037ecc59ddec1de4a4ec25160155b4095c1e373510407bf","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:41:18.598606Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T01:29:27.487692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge","version":2},"cited_work":{"arxiv_id":"1905.06290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.06290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A surprisingly robust trick for winograd schema challenge","venue":null,"work_id":"f0f8b9ab-17db-47db-ae7f-05218b4dbacf","year":1905},"citing_paper":{"arxiv_id":"1906.08237","last_updated":"2020-01-02T12:48:08Z","snapshot_observed_at":"2026-07-31T22:49:43.034741Z","submitted_at":"2019-06-19T17:35:48Z","title":"XLNet: Generalized Autoregressive Pretraining for Language Understanding","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T01:29:27.427361Z"},"links":{"cited_paper":"/paper/1905.06290","citing_paper":"/paper/1906.08237"},"observation_digest":"sha256:50618ababd6d1f17bd6561da461ff9d2040d35c43694f3ad0c3ccb6b715f46c8","observation_id":"19378fcd-e5b8-4d1f-a46f-6611fd1202a6","resolution":{"observed_at":"2026-05-18T01:29:27.490807Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge","version":2},"cited_work":{"arxiv_id":"1905.06290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.06290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A surprisingly robust trick for winograd schema challenge","venue":null,"work_id":"f0f8b9ab-17db-47db-ae7f-05218b4dbacf","year":1905},"citing_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-09T04:47:43.784327Z"},"links":{"cited_paper":"/paper/1905.06290","citing_paper":"/paper/1907.11692"},"observation_digest":"sha256:f2c217908f8058c6714c0723905f10a013c334ede53e7663065de10cc6678756","observation_id":"deaddbce-8ace-4223-a2c5-6dee7cdf9e0e","resolution":{"observed_at":"2026-05-09T04:47:44.494874Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.06290","snapshot_observed_at":"2026-08-14T12:41:18.598606Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.06725","last_updated":"2020-05-06T08:57:26Z","snapshot_observed_at":"2026-08-18T10:08:16.319163Z","submitted_at":"2019-08-19T12:08:27Z","title":"Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models","version":5},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T12:41:18.598606Z"},"links":{"cited_paper":"/paper/1905.06290","citing_paper":"/paper/1908.06725"},"observation_digest":"sha256:65ce935450ef82b5a12338157d1fa66363d885e8f019da7dad1529fe556dc59e","observation_id":"165a56dd-e7c5-4707-a8ae-1633bc2a6da5","resolution":{"observed_at":"2026-08-14T12:41:18.598606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.06290","snapshot_observed_at":"2026-08-14T11:57:53.978961Z","title":"Computing Research Reposi- tory, arXiv:1905.06290","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"1908.08025","last_updated":"2019-10-13T17:48:41Z","snapshot_observed_at":"2026-08-18T09:50:21.717903Z","submitted_at":"2019-08-21T17:42:03Z","title":"WikiCREM: A Large Unsupervised Corpus for Coreference Resolution","version":3},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-14T11:57:53.978961Z"},"links":{"cited_paper":"/paper/1905.06290","citing_paper":"/paper/1908.08025"},"observation_digest":"sha256:b0f65ff8bf5aec42c5683061c5d6ed4392f3209b9b8e706079f0b55fb1badbf7","observation_id":"21e9fc08-55b9-4811-8a93-809d41db4611","resolution":{"observed_at":"2026-08-14T11:57:53.978961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge","version":2},"cited_work":{"arxiv_id":"1905.06290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.06290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A surprisingly robust trick for winograd schema challenge","venue":null,"work_id":"f0f8b9ab-17db-47db-ae7f-05218b4dbacf","year":1905},"citing_paper":{"arxiv_id":"1910.10683","last_updated":"2023-09-19T15:14:48Z","snapshot_observed_at":"2026-08-14T16:16:21.567225Z","submitted_at":"2019-10-23T17:37:36Z","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T05:37:55.083206Z"},"links":{"cited_paper":"/paper/1905.06290","citing_paper":"/paper/1910.10683"},"observation_digest":"sha256:a240bafca7d10d79254e26627099a8db87cf547199c32d42ef73fe2a60dc51ad","observation_id":"91cc9edf-e06e-43f8-a318-ded0bc63b3e4","resolution":{"observed_at":"2026-05-12T05:37:55.702870Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge","version":2},"cited_work":{"arxiv_id":"1905.06290","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.06290","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A surprisingly robust trick for winograd schema challenge","venue":null,"work_id":"f0f8b9ab-17db-47db-ae7f-05218b4dbacf","year":1905},"citing_paper":{"arxiv_id":"2205.01068","last_updated":"2022-06-21T17:04:40Z","snapshot_observed_at":"2026-08-06T03:13:37.403059Z","submitted_at":"2022-05-02T17:49:50Z","title":"OPT: Open Pre-trained Transformer Language Models","version":4},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-10T20:53:16.720145Z"},"links":{"cited_paper":"/paper/1905.06290","citing_paper":"/paper/2205.01068"},"observation_digest":"sha256:553fadc2612919493c6ea35265beb22f0992a2cd9efee7a3d242c97fc046f232","observation_id":"2c3807ac-3c46-4cad-aa0f-9a0f02ddcded","resolution":{"observed_at":"2026-05-10T20:53:17.368095Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.06290/citation-record","integrity":"/paper/1905.06290/integrity","json":"/paper/1905.06290/citation-record.json","paper":"/paper/1905.06290"},"outbound":[],"paper":{"arxiv_id":"1905.06290","last_updated":"2019-08-04T09:06:11Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T21:21:28.534697Z","submitted_at":"2019-05-15T16:47:11Z","title":"A Surprisingly Robust Trick for Winograd Schema Challenge"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1905.06290."}