{"as_of":"2026-08-17T08:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d7c155ca59146776cc0a421f8502175fca1a3a2d661500e8e474a73ff3302f4","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":"2026-08-17T06:30:58.91139+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":"2026-08-14T15:19:01.326532Z","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":"2026-08-14T11:49:47.190518Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.03989","last_updated":"2018-06-10T15:29:18Z","snapshot_observed_at":"2026-08-15T21:34:18.764518Z","submitted_at":"2018-05-10T14:11:51Z","title":"Global Encoding for Abstractive Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.03989","snapshot_observed_at":"2026-08-14T15:19:01.326532Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01403","last_updated":"2019-12-09T19:46:11Z","snapshot_observed_at":"2026-08-16T14:14:20.547713Z","submitted_at":"2019-08-04T21:32:31Z","title":"Deep Neural Network for Semantic-based Text Recognition in Images","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:19:01.326532Z"},"links":{"cited_paper":"/paper/1805.03989","citing_paper":"/paper/1908.01403"},"observation_digest":"sha256:37af57a3ff385a5e99340082d3635edb7ddbc4f7597942248afb547a5b809b2e","observation_id":"d18b9ea0-fe9c-4fe1-a56d-4c3275860b83","resolution":{"observed_at":"2026-08-14T15:19:01.326532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.03989","last_updated":"2018-06-10T15:29:18Z","snapshot_observed_at":"2026-08-15T21:34:18.764518Z","submitted_at":"2018-05-10T14:11:51Z","title":"Global Encoding for Abstractive Summarization","version":2},"cited_work":{"arxiv_id":"1805.03989","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.03989","snapshot_observed_at":"2026-08-14T11:49:47.190518Z","title":"Global Encoding for Abstractive Summarization","venue":"cs.CL","work_id":"a5cb3668-50f3-4786-bf60-08a05b99100c","year":2018},"citing_paper":{"arxiv_id":"1908.08206","last_updated":"2019-08-22T05:26:25Z","snapshot_observed_at":"2026-08-17T03:26:59.514777Z","submitted_at":"2019-08-22T05:26:25Z","title":"Denoising based Sequence-to-Sequence Pre-training for Text Generation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:46.973807Z"},"links":{"cited_paper":"/paper/1805.03989","citing_paper":"/paper/1908.08206"},"observation_digest":"sha256:ab167163badfc660a6e675f7f53cbef6a69f017d90edb84fbe35134a13572262","observation_id":"fede491c-cbb7-4654-91bb-d45fbcf3e4f3","resolution":{"observed_at":"2026-08-14T11:49:47.197397Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1805.03989/citation-record","integrity":"/paper/1805.03989/integrity","json":"/paper/1805.03989/citation-record.json","paper":"/paper/1805.03989"},"outbound":[],"paper":{"arxiv_id":"1805.03989","last_updated":"2018-06-10T15:29:18Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T21:34:18.764518Z","submitted_at":"2018-05-10T14:11:51Z","title":"Global Encoding for Abstractive Summarization"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.03989."}