{"as_of":"2026-08-09T14:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:99f9d187fc205e18a06343851f6e7c8069beab359d0a61d4d2ed669a2514e837","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:32:52.142397Z","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":"2026-07-01T14:55:47.156503Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.02766","last_updated":"2019-09-06T08:37:42Z","snapshot_observed_at":"2026-08-03T17:12:47.413654Z","submitted_at":"2019-09-06T08:37:42Z","title":"Giveme5W1H: A Universal System for Extracting Main Events from News Articles","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.02766","snapshot_observed_at":"2026-08-07T15:32:52.142397Z","title":"Giveme5w1h: A universal system for extracting main events from news articles","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.14804","last_updated":"2025-06-06T15:28:37Z","snapshot_observed_at":"2026-08-07T15:27:05.693473Z","submitted_at":"2025-05-20T18:12:42Z","title":"Automated Journalistic Questions: A New Method for Extracting 5W1H in French","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:32:52.142397Z"},"links":{"cited_paper":"/paper/1909.02766","citing_paper":"/paper/2505.14804"},"observation_digest":"sha256:316bf0f206093affe559fd93a482b6d3bf6e54c25dea8a72f89a3ae735fe14f5","observation_id":"d289ce7e-e5ea-46e3-b389-7d8e89e36311","resolution":{"observed_at":"2026-08-07T15:32:52.142397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.02766","last_updated":"2019-09-06T08:37:42Z","snapshot_observed_at":"2026-08-03T17:12:47.413654Z","submitted_at":"2019-09-06T08:37:42Z","title":"Giveme5W1H: A Universal System for Extracting Main Events from News Articles","version":1},"cited_work":{"arxiv_id":"1909.02766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.02766","snapshot_observed_at":"2026-07-01T14:55:47.156503Z","title":"Giveme5W1H: A universal system for extracting main events from news articles.CoRR, abs/1909.02766","venue":null,"work_id":"7d665a30-e23e-41f7-8e07-3109727db767","year":1909},"citing_paper":{"arxiv_id":"2605.15759","last_updated":"2026-05-24T06:45:11Z","snapshot_observed_at":"2026-07-06T23:27:01.213106Z","submitted_at":"2026-05-15T09:20:31Z","title":"DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T19:00:19.298748Z"},"links":{"cited_paper":"/paper/1909.02766","citing_paper":"/paper/2605.15759"},"observation_digest":"sha256:f14e5c5f0095a1fd3014da593f7d00cc5eaa2c985d934e834921bb936d4e979f","observation_id":"d1c9e011-2119-4f0a-98a4-2135619c7a16","resolution":{"observed_at":"2026-05-20T19:03:39.717864Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.02766","last_updated":"2019-09-06T08:37:42Z","snapshot_observed_at":"2026-08-03T17:12:47.413654Z","submitted_at":"2019-09-06T08:37:42Z","title":"Giveme5W1H: A Universal System for Extracting Main Events from News Articles","version":1},"cited_work":{"arxiv_id":"1909.02766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.02766","snapshot_observed_at":"2026-07-01T14:55:47.156503Z","title":"Giveme5W1H: A universal system for extracting main events from news articles.CoRR, abs/1909.02766","venue":null,"work_id":"7d665a30-e23e-41f7-8e07-3109727db767","year":1909},"citing_paper":{"arxiv_id":"2605.15759","last_updated":"2026-05-24T06:45:11Z","snapshot_observed_at":"2026-07-06T23:27:01.213106Z","submitted_at":"2026-05-15T09:20:31Z","title":"DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T19:55:44.919079Z"},"links":{"cited_paper":"/paper/1909.02766","citing_paper":"/paper/2605.15759"},"observation_digest":"sha256:3904802d6cee2ca1edcec8ee104915ec51f61c8cb7a1f27bdd5f4d1771d5fa56","observation_id":"ec73293e-497d-4850-8b5f-1958e92b2b53","resolution":{"observed_at":"2026-07-01T14:55:47.158825Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1909.02766/citation-record","integrity":"/paper/1909.02766/integrity","json":"/paper/1909.02766/citation-record.json","paper":"/paper/1909.02766"},"outbound":[],"paper":{"arxiv_id":"1909.02766","last_updated":"2019-09-06T08:37:42Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T17:12:47.413654Z","submitted_at":"2019-09-06T08:37:42Z","title":"Giveme5W1H: A Universal System for Extracting Main Events from News Articles"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.02766."}