{"as_of":"2026-08-22T04:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d02bfed9db7e2b854324570930275b5fdb8c132199678e3709f2820cbfa7bd48","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:43:10.656688Z","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":"2026-08-11T13:43:11.021546Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.18534","last_updated":"2023-11-30T13:18:00Z","snapshot_observed_at":"2026-08-16T14:38:50.974525Z","submitted_at":"2023-11-30T13:18:00Z","title":"The lowest-order Neural Approximated Virtual Element Method","version":1},"cited_work":{"arxiv_id":"2311.18534","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.18534","snapshot_observed_at":"2026-08-11T13:43:11.021546Z","title":"The lowest-order Neural Approximated Virtual Element Method","venue":"math.NA","work_id":"31260ad6-5861-4de9-a071-9273f180e344","year":2023},"citing_paper":{"arxiv_id":"2412.12884","last_updated":"2024-12-17T13:07:55Z","snapshot_observed_at":"2026-08-14T18:49:10.144560Z","submitted_at":"2024-12-17T13:07:55Z","title":"A 3D-1D Virtual Element Method for Modeling Root Water Uptake","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T13:43:10.656688Z"},"links":{"cited_paper":"/paper/2311.18534","citing_paper":"/paper/2412.12884"},"observation_digest":"sha256:1ab767be0ee0bc2cbe58653522e955df557e82744be822ea472d34541e742db8","observation_id":"88fc833d-ab83-4378-b330-097ae8ce1e03","resolution":{"observed_at":"2026-08-11T13:43:11.025726Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.18534/citation-record","integrity":"/paper/2311.18534/integrity","json":"/paper/2311.18534/citation-record.json","paper":"/paper/2311.18534"},"outbound":[],"paper":{"arxiv_id":"2311.18534","last_updated":"2023-11-30T13:18:00Z","latest_version":1,"primary_category":"math.NA","snapshot_observed_at":"2026-08-16T14:38:50.974525Z","submitted_at":"2023-11-30T13:18:00Z","title":"The lowest-order Neural Approximated Virtual Element Method"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.18534."}