{"as_of":"2026-08-19T15:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e316579d038fc22d05ea52ac82d7db052122e6d4d8dfcb2f59210293e279658","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T14:47:09.085275Z","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":"2026-08-15T14:47:09.310377Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.06217","last_updated":"2021-04-13T14:10:50Z","snapshot_observed_at":"2026-08-19T05:41:14.891875Z","submitted_at":"2021-04-13T14:10:50Z","title":"Self-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations","version":1},"cited_work":{"arxiv_id":"2104.06217","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.06217","snapshot_observed_at":"2026-08-15T14:47:09.310377Z","title":"Self-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations","venue":"physics.flu-dyn","work_id":"d192b132-0177-4d40-8c43-b0d1d6c59d37","year":2021},"citing_paper":{"arxiv_id":"2608.04191","last_updated":"2026-08-04T19:49:53Z","snapshot_observed_at":"2026-08-16T14:55:41.814287Z","submitted_at":"2026-08-04T19:49:53Z","title":"An Artificial-Compressibility Physics-Informed Neural Network for the Unsteady Incompressible Navier--Stokes Equations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T14:47:09.085275Z"},"links":{"cited_paper":"/paper/2104.06217","citing_paper":"/paper/2608.04191"},"observation_digest":"sha256:18757c2f5b147c046974fa0bedace38e1aaf6e2133d202c3a82e0a99a101ff62","observation_id":"b33093aa-55d0-4459-ae08-f93595e6415c","resolution":{"observed_at":"2026-08-15T14:47:09.313969Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2104.06217/citation-record","integrity":"/paper/2104.06217/integrity","json":"/paper/2104.06217/citation-record.json","paper":"/paper/2104.06217"},"outbound":[],"paper":{"arxiv_id":"2104.06217","last_updated":"2021-04-13T14:10:50Z","latest_version":1,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-19T05:41:14.891875Z","submitted_at":"2021-04-13T14:10:50Z","title":"Self-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.06217."}