{"as_of":"2026-08-14T15:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1958eac7b82e52ef1febfef83f365767834ae988f2d3651cca1713bc0d638bc0","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T00:31:24.677379Z","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":"2026-08-11T00:31:24.880621Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.17445","last_updated":"2024-10-22T21:46:55Z","snapshot_observed_at":"2026-08-12T22:17:10.490511Z","submitted_at":"2024-10-22T21:46:55Z","title":"Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks","version":1},"cited_work":{"arxiv_id":"2410.17445","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.17445","snapshot_observed_at":"2026-08-11T00:31:24.880621Z","title":"Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks","venue":"cs.LG","work_id":"9876a0b0-8659-458c-ac83-5e545fc96738","year":2024},"citing_paper":{"arxiv_id":"2608.07681","last_updated":"2026-08-07T18:09:31Z","snapshot_observed_at":"2026-08-14T08:10:01.816699Z","submitted_at":"2026-08-07T18:09:31Z","title":"PhysAttNet: Enhancing Predictive Performance in Industrial and Astrophysical Time Series via Physics-Informed Attention","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-11T00:31:24.677379Z"},"links":{"cited_paper":"/paper/2410.17445","citing_paper":"/paper/2608.07681"},"observation_digest":"sha256:9d707018504235479c28b13604a8c912dd32d2d21a11aefc2a6278efbb1a1df9","observation_id":"199aa971-1334-4463-b03c-4437501b9f68","resolution":{"observed_at":"2026-08-11T00:31:24.885286Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2410.17445/citation-record","integrity":"/paper/2410.17445/integrity","json":"/paper/2410.17445/citation-record.json","paper":"/paper/2410.17445"},"outbound":[],"paper":{"arxiv_id":"2410.17445","last_updated":"2024-10-22T21:46:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T22:17:10.490511Z","submitted_at":"2024-10-22T21:46:55Z","title":"Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks"},"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 1 inbound Pith citation observation for arXiv:2410.17445."}