{"as_of":"2026-08-09T07:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:108e20a0e1650d1de94fc9539d227459e393cfde6379306314759fb6af29f59d","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":"2026-08-09T06:31:02.800959+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":"2026-08-02T07:53:53.558644Z","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":"2026-07-10T03:56:44.313477Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.10711","last_updated":"2025-05-15T21:14:30Z","snapshot_observed_at":"2026-08-07T15:44:55.343186Z","submitted_at":"2025-05-15T21:14:30Z","title":"GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics","version":1},"cited_work":{"arxiv_id":"2505.10711","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.10711","snapshot_observed_at":"2026-07-10T03:56:44.313477Z","title":"GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics","venue":"cs.LG","work_id":"91fc8733-ff1b-47c0-9dbc-7ed6b86a2908","year":2025},"citing_paper":{"arxiv_id":"2607.08659","last_updated":"2026-07-28T14:11:39Z","snapshot_observed_at":"2026-08-02T07:53:47.533683Z","submitted_at":"2026-07-09T16:28:05Z","title":"EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-10T03:54:37.698152Z"},"links":{"cited_paper":"/paper/2505.10711","citing_paper":"/paper/2607.08659"},"observation_digest":"sha256:ab2c12bb2dd8b8e03b26924139fab79d54e84120e499eb4cbf74d4acda30884b","observation_id":"34ae5fba-9ba9-4c4c-8ed7-eb264cd24df3","resolution":{"observed_at":"2026-07-10T03:56:44.315502Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10711","last_updated":"2025-05-15T21:14:30Z","snapshot_observed_at":"2026-08-07T15:44:55.343186Z","submitted_at":"2025-05-15T21:14:30Z","title":"GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10711","snapshot_observed_at":"2026-08-02T07:53:53.558644Z","title":"Gnn-suite: a graph neural network benchmarking framework for biomedical informatics","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.08659","last_updated":"2026-07-28T14:11:39Z","snapshot_observed_at":"2026-08-02T07:53:47.533683Z","submitted_at":"2026-07-09T16:28:05Z","title":"EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T07:53:53.558644Z"},"links":{"cited_paper":"/paper/2505.10711","citing_paper":"/paper/2607.08659"},"observation_digest":"sha256:8f38b23d938a9252bb0ecbff9a312dfc1162d5cf708b6f8c4e3029eb591eb620","observation_id":"2bd637bf-3ef1-4034-b464-8f68be94a2b7","resolution":{"observed_at":"2026-08-02T07:53:53.558644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.10711/citation-record","integrity":"/paper/2505.10711/integrity","json":"/paper/2505.10711/citation-record.json","paper":"/paper/2505.10711"},"outbound":[],"paper":{"arxiv_id":"2505.10711","last_updated":"2025-05-15T21:14:30Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T15:44:55.343186Z","submitted_at":"2025-05-15T21:14:30Z","title":"GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics"},"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 2 inbound Pith citation observations for arXiv:2505.10711."}