{"as_of":"2026-08-08T07:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:513513e55fd4d940cc6143d4a6d1d2e69a8b9632612b1995130f239c551583fc","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:43:11.731577Z","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":"2026-08-07T13:43:19.430955Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.00401","last_updated":"2025-06-04T19:39:52Z","snapshot_observed_at":"2026-07-06T20:29:31.116975Z","submitted_at":"2025-02-01T11:31:01Z","title":"Spectro-Riemannian Graph Neural Networks","version":2},"cited_work":{"arxiv_id":"2502.00401","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.00401","snapshot_observed_at":"2026-08-07T13:43:19.430955Z","title":"Spectro-Riemannian Graph Neural Networks","venue":"cs.LG","work_id":"a5b0608b-58c4-44cf-9086-f5cd5d3d4301","year":2025},"citing_paper":{"arxiv_id":"2505.21285","last_updated":"2026-06-05T08:55:58Z","snapshot_observed_at":"2026-08-07T13:28:24.091632Z","submitted_at":"2025-05-27T14:53:09Z","title":"Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection","version":5},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:43:11.731577Z"},"links":{"cited_paper":"/paper/2502.00401","citing_paper":"/paper/2505.21285"},"observation_digest":"sha256:58e73ef3a9f84c8f5707fa645292dd78de735a4117430924192af3aa74a3c256","observation_id":"9e2ae7be-ec60-425d-bd34-68591084daba","resolution":{"observed_at":"2026-08-07T13:43:19.489489Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.00401/citation-record","integrity":"/paper/2502.00401/integrity","json":"/paper/2502.00401/citation-record.json","paper":"/paper/2502.00401"},"outbound":[],"paper":{"arxiv_id":"2502.00401","last_updated":"2025-06-04T19:39:52Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T20:29:31.116975Z","submitted_at":"2025-02-01T11:31:01Z","title":"Spectro-Riemannian Graph 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2502.00401."}