{"as_of":"2026-08-18T17:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f9733bdfa6b050666f5fbf351d3b87a0d3f7427df72e041ec18d82e05f1b851a","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:18:26.201286Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-25T20:01:11.534691Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1701.03214","last_updated":"2017-02-03T21:46:12Z","snapshot_observed_at":"2026-08-17T11:45:48.448471Z","submitted_at":"2017-01-12T02:37:09Z","title":"An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation","version":2},"cited_work":{"arxiv_id":"1701.03214","doi":null,"metadata_source":"pith","pith_arxiv_id":"1701.03214","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation","venue":"cs.CL","work_id":"38e2a0a5-4e4d-4b00-8731-1cfb6ef0cc48","year":2017},"citing_paper":{"arxiv_id":"1906.08393","last_updated":"2019-06-22T16:07:24Z","snapshot_observed_at":"2026-08-16T19:08:09.245713Z","submitted_at":"2019-06-19T23:20:57Z","title":"Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-25T19:58:37.331220Z"},"links":{"cited_paper":"/paper/1701.03214","citing_paper":"/paper/1906.08393"},"observation_digest":"sha256:5ba74ca779c3f449e6560f043539d8922266d305b0f08d539db92ca6abdc45eb","observation_id":"172e9063-fa69-428a-8366-ce69752b3761","resolution":{"observed_at":"2026-05-25T20:01:11.536935Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.03214","last_updated":"2017-02-03T21:46:12Z","snapshot_observed_at":"2026-08-17T11:45:48.448471Z","submitted_at":"2017-01-12T02:37:09Z","title":"An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.03214","snapshot_observed_at":"2026-08-14T11:18:26.201286Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09395","last_updated":"2019-08-25T21:29:28Z","snapshot_observed_at":"2026-08-15T13:57:07.241489Z","submitted_at":"2019-08-25T21:29:28Z","title":"Domain Adaptive Text Style Transfer","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T11:18:26.201286Z"},"links":{"cited_paper":"/paper/1701.03214","citing_paper":"/paper/1908.09395"},"observation_digest":"sha256:0bf4eee9ed814a7a01c64d3303088448e9f06f05b8baa1283b8a4ba68b217ba6","observation_id":"1375453b-f2c0-41ac-be66-5db77ac29c6d","resolution":{"observed_at":"2026-08-14T11:18:26.201286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1701.03214/citation-record","integrity":"/paper/1701.03214/integrity","json":"/paper/1701.03214/citation-record.json","paper":"/paper/1701.03214"},"outbound":[],"paper":{"arxiv_id":"1701.03214","last_updated":"2017-02-03T21:46:12Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T11:45:48.448471Z","submitted_at":"2017-01-12T02:37:09Z","title":"An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1701.03214."}