{"as_of":"2026-08-14T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:528782ab2dd042ed5c15229f7034c6d00b600d001809207134e1013feec4c7f7","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T05:53:14.994049Z","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":"2026-08-11T05:53:15.047950Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1903.12363","last_updated":"2019-06-20T01:56:57Z","snapshot_observed_at":"2026-08-14T08:54:44.371356Z","submitted_at":"2019-03-29T06:23:06Z","title":"CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor","version":4},"cited_work":{"arxiv_id":"1903.12363","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.12363","snapshot_observed_at":"2026-08-11T05:53:15.047950Z","title":"CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor","venue":"cs.CV","work_id":"6ff84bdd-9f34-46cb-b4c4-557aa9209cd2","year":2019},"citing_paper":{"arxiv_id":"2412.17092","last_updated":"2024-12-22T16:58:59Z","snapshot_observed_at":"2026-08-13T16:17:01.387017Z","submitted_at":"2024-12-22T16:58:59Z","title":"SAIL: Sample-Centric In-Context Learning for Document Information Extraction","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:14.994049Z"},"links":{"cited_paper":"/paper/1903.12363","citing_paper":"/paper/2412.17092"},"observation_digest":"sha256:32d99837c4f8bac2e7abfd68fec2478242c1d28fbc3f8e10257ee82d8650c53e","observation_id":"abe6dc8b-deac-4431-bc14-a034859579d0","resolution":{"observed_at":"2026-08-11T05:53:15.060935Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.12363","last_updated":"2019-06-20T01:56:57Z","snapshot_observed_at":"2026-08-14T08:54:44.371356Z","submitted_at":"2019-03-29T06:23:06Z","title":"CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.12363","snapshot_observed_at":"2026-08-02T14:55:33.157817Z","title":"arXiv preprint arXiv:1903.12363 , year=","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2607.16203","last_updated":"2026-05-05T10:59:34Z","snapshot_observed_at":"2026-08-11T20:01:56.407298Z","submitted_at":"2026-05-05T10:59:34Z","title":"DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth","version":1},"reference_index":106,"source":"arxiv_source","source_observed_at":"2026-08-02T14:55:33.157817Z"},"links":{"cited_paper":"/paper/1903.12363","citing_paper":"/paper/2607.16203"},"observation_digest":"sha256:a82237959fb673e19c5443e85372de34744d39f2f1e93e1a1adc28b784bac02a","observation_id":"77f1589a-96e3-413c-85ef-c689a7c346a0","resolution":{"observed_at":"2026-08-02T14:55:33.157817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1903.12363/citation-record","integrity":"/paper/1903.12363/integrity","json":"/paper/1903.12363/citation-record.json","paper":"/paper/1903.12363"},"outbound":[],"paper":{"arxiv_id":"1903.12363","last_updated":"2019-06-20T01:56:57Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T08:54:44.371356Z","submitted_at":"2019-03-29T06:23:06Z","title":"CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.12363."}