{"as_of":"2026-08-09T20:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f5f939c96c4b3fce7eb9ff1bdf9dce1022080f8e6d30932203d23029e1e93c46","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":"2026-08-09T06:31:02.800959+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":"2026-08-03T08:21:34.913062Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.04773","last_updated":"2024-05-28T09:19:55Z","snapshot_observed_at":"2026-08-08T19:15:42.115879Z","submitted_at":"2024-05-08T02:44:13Z","title":"Hypergraph-enhanced Dual Semi-supervised Graph Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04773","snapshot_observed_at":"2026-08-03T08:21:34.913062Z","title":"A comprehensive survey on deep graph representation learning.Neural Networks, 173:106207, 2024a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.17469","last_updated":"2026-06-03T12:56:11Z","snapshot_observed_at":"2026-08-08T03:10:10.977338Z","submitted_at":"2026-01-24T14:07:07Z","title":"Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T08:21:34.913062Z"},"links":{"cited_paper":"/paper/2405.04773","citing_paper":"/paper/2601.17469"},"observation_digest":"sha256:2f9fef3041c2ac6a3c86f193f4d84a83fa87ca353a41fff383a4c25d95f6c118","observation_id":"63acddd6-9647-4ffb-8c87-58efc91713a3","resolution":{"observed_at":"2026-08-03T08:21:34.913062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.04773/citation-record","integrity":"/paper/2405.04773/integrity","json":"/paper/2405.04773/citation-record.json","paper":"/paper/2405.04773"},"outbound":[],"paper":{"arxiv_id":"2405.04773","last_updated":"2024-05-28T09:19:55Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T19:15:42.115879Z","submitted_at":"2024-05-08T02:44:13Z","title":"Hypergraph-enhanced Dual Semi-supervised Graph Classification"},"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 1 inbound Pith citation observation for arXiv:2405.04773."}