{"as_of":"2026-08-13T07:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fb1eadfc55346a77d09d4a75ef0dfb7cf6b96e641ca2f941c2f3a26f59db2c50","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":"2026-08-13T06:32:02.005865+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":"2026-08-07T11:54:17.685628Z","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":"2026-05-11T09:26:01.244769Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.13499","last_updated":"2023-07-25T13:49:15Z","snapshot_observed_at":"2026-08-12T14:30:49.855535Z","submitted_at":"2023-07-25T13:49:15Z","title":"Finding Money Launderers Using Heterogeneous Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.13499","snapshot_observed_at":"2026-08-07T11:54:17.685628Z","title":"Finding money launderers using het- erogeneous graph neural networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01093","last_updated":"2025-06-01T17:34:57Z","snapshot_observed_at":"2026-08-12T03:18:07.537161Z","submitted_at":"2025-06-01T17:34:57Z","title":"Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:54:17.685628Z"},"links":{"cited_paper":"/paper/2307.13499","citing_paper":"/paper/2506.01093"},"observation_digest":"sha256:50d387235204f4814620d4af783a66eab1677918b1501946c09fe8b7508eeb4d","observation_id":"0958bb1b-89ce-46c8-89d2-53169e9c6274","resolution":{"observed_at":"2026-08-07T11:54:17.685628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13499","last_updated":"2023-07-25T13:49:15Z","snapshot_observed_at":"2026-08-12T14:30:49.855535Z","submitted_at":"2023-07-25T13:49:15Z","title":"Finding Money Launderers Using Heterogeneous Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2307.13499","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.13499","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"28a0bf38-acef-4b29-97ad-3d2f157e8abc","year":2023},"citing_paper":{"arxiv_id":"2604.12241","last_updated":"2026-04-14T03:34:44Z","snapshot_observed_at":"2026-08-12T16:35:19.379764Z","submitted_at":"2026-04-14T03:34:44Z","title":"BlazingAML: High-Throughput Anti-Money Laundering (AML) via Multi-Stage Graph Mining","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T16:02:06.747576Z"},"links":{"cited_paper":"/paper/2307.13499","citing_paper":"/paper/2604.12241"},"observation_digest":"sha256:64b869e03cd4f4867f0149dc6f6361197d5d1a10cf1c202032e5b681a6bab36c","observation_id":"df3e8987-3d98-419d-9d26-2324f3f687c1","resolution":{"observed_at":"2026-05-11T09:26:01.247138Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.13499/citation-record","integrity":"/paper/2307.13499/integrity","json":"/paper/2307.13499/citation-record.json","paper":"/paper/2307.13499"},"outbound":[],"paper":{"arxiv_id":"2307.13499","last_updated":"2023-07-25T13:49:15Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T14:30:49.855535Z","submitted_at":"2023-07-25T13:49:15Z","title":"Finding Money Launderers Using Heterogeneous 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.13499."}