{"as_of":"2026-08-10T11:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a7f7f346e4965de1c34f94ff7c363a0f7d3b81683e11d6dc97a545dc40bfeb1","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T12:02:16.962738Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-19T08:02:10.665809Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.19380","last_updated":"2025-03-25T06:16:17Z","snapshot_observed_at":"2026-08-07T16:39:15.294494Z","submitted_at":"2025-03-25T06:16:17Z","title":"Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19380","snapshot_observed_at":"2026-08-07T12:02:16.962738Z","title":"Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00726","last_updated":"2025-05-31T21:59:01Z","snapshot_observed_at":"2026-08-07T11:57:06.911958Z","submitted_at":"2025-05-31T21:59:01Z","title":"Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:02:16.962738Z"},"links":{"cited_paper":"/paper/2503.19380","citing_paper":"/paper/2506.00726"},"observation_digest":"sha256:9a1660a827df10971dadd625b729978b1794a176f2e94b798b56ceab08784817","observation_id":"b1383078-b878-47ba-9958-67359c5b5cf6","resolution":{"observed_at":"2026-08-07T12:02:16.962738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19380","last_updated":"2025-03-25T06:16:17Z","snapshot_observed_at":"2026-08-07T16:39:15.294494Z","submitted_at":"2025-03-25T06:16:17Z","title":"Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2503.19380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.19380","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zhang, Social network user profiling for anomaly de- tection based on graph neural networks, arXiv preprint arXiv:2503.19380 (2025)","venue":null,"work_id":"27ebf889-13c2-434f-afda-e92043b1fe9e","year":2025},"citing_paper":{"arxiv_id":"2506.21161","last_updated":"2026-04-18T09:42:24Z","snapshot_observed_at":"2026-07-29T23:50:38.487434Z","submitted_at":"2025-06-26T11:38:54Z","title":"Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-19T07:59:06.404337Z"},"links":{"cited_paper":"/paper/2503.19380","citing_paper":"/paper/2506.21161"},"observation_digest":"sha256:bd6df3b408cf152c9e7fca8457bb0b3df17ffd3f03de21ec6193ca951e3cb447","observation_id":"c69ec8ac-d5e9-4c95-aef1-96d40007be0f","resolution":{"observed_at":"2026-05-19T08:02:10.669402Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.19380/citation-record","integrity":"/paper/2503.19380/integrity","json":"/paper/2503.19380/citation-record.json","paper":"/paper/2503.19380"},"outbound":[],"paper":{"arxiv_id":"2503.19380","last_updated":"2025-03-25T06:16:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:39:15.294494Z","submitted_at":"2025-03-25T06:16:17Z","title":"Social Network User Profiling for Anomaly Detection Based on 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.19380."}