{"as_of":"2026-08-16T04:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:12f805f26079922660112b6a1f3dc844ebd9456b228425e3e434de9922246b90","coverage":[{"denominator":118,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T14:04:13.095632Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2607.10131/citation-record","integrity":"/paper/2607.10131/integrity","json":"/paper/2607.10131/citation-record.json","paper":"/paper/2607.10131"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"The Accounting Review , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:9e0e9658889aaa6cee858165a88a738609d34c9d71da22df1ef52f0fb0476857","observation_id":"ffb2a41e-f0e6-4a14-9bca-c135b7ddd4ee","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f12333a6068d7cc49764ff3c642afec26e1275dfad34b37e6d5cac299b51f813","observation_id":"2376e51c-60c3-435c-bc08-7ab46e9089e8","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"IEEE Transactions on Knowledge and Data Engineering , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:c43ec39eb05bf06213b205c4ab7550d166d366df42e27f0f66eacef5cb733c2c","observation_id":"341abccb-0fea-459e-82bc-d60996e7a0d2","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:48c374a4c31d48649c73f5c34f57f6dc5329c9a28f2a66b5e07c7363034fb621","observation_id":"0e4ec496-d895-4d75-8286-ed0100ed39ee","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:0997ecf6e2baba413c91708e40b61151a6e68c13e41186f3ce43539a1bfb94bb","observation_id":"a5b69ec8-fa8b-4ae3-a42b-fd6e7b070deb","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:368cf03a168113253a5ca08695c6ddec41d1fa9cefb5d71788c1bba0003d2bd0","observation_id":"0ef3729f-e8cc-4a92-9a7d-62f7d8291397","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"The Tenth International Conference on Learning Representations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:c66f46fac92cddbe511c69aa39dd56326e54fdb21800b5985c1c96d932dd2480","observation_id":"1d105cb1-e59f-4d74-8402-0409fcd4e35d","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"ACM Transactions on Knowledge Discovery from Data (TKDD) , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:15c4caa270850d9d192b0d65789aa561cabf24d0867bed2f13aa3bf451b9ebc4","observation_id":"36f8a8d0-3883-44a4-9964-05679f3b04a8","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"2024 11th IEEE Swiss Conference on Data Science (SDS) , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f5fdad99c77a026cce22f3351215a1046b5ac885741420e9b57d4420d876bd8c","observation_id":"7603516c-6246-46ad-89c7-af424018dbbd","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:d804ffe729281256a6daa37d0273ab4c954c5e6ea00afeb3a2a2e4ed73102ddc","observation_id":"223f7bf2-ae99-4a4a-8217-4f0f5c589cd0","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:8bdd553fb5e2619b805ed79b272e8571ef253d1b54a5b7e33d38bef961214196","observation_id":"4f3cbc80-9d28-4b3f-9f2f-c255c418f938","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a310f7f00a4771bf85b10dff96986ea3df8b2c037cfeaa1bdab951c5d99cd605","observation_id":"60643e9b-2dd4-4c5d-9891-7817c19bc16c","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:49ec278cf5d94d7ec0697c996f8d4affd0d31c25ae7bf3062b2b086a621e0da2","observation_id":"fc1ea314-9f8e-47b3-bfae-0378eb3f818f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:911d2736157d157147f1c91bfebf29f1fc51147b71607cc7f40cd4809624c079","observation_id":"522b1280-521f-4b2f-8258-fd96be17c456","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Internet of Things—Applications and Future: Proceedings of ITAF 2019 , pages=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2377529e454a1ede938f869e63a163109e83d1e603f13d9ce8b5566e04518fdb","observation_id":"7258f2c6-d4db-4e95-b91a-a272d0e1413b","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Knowledge and Information Systems , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:73b673703312a8588912c3ccdaaf1138b03c8942b90224d29acdb64dc1ee67cf","observation_id":"0300970d-5b0e-46ae-8790-37d7ff69ab16","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Bronstein , title =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:5de1d20a63e3ce47b6f648504941844bd0d2c40babd76ff701aa335fecf74168","observation_id":"376bcca0-5846-4927-897a-5a174cf3a628","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a0c105eb5ea03e21627081c67ea14779f641f5e0e3a8dacf2082fa0c7b22723c","observation_id":"46f4f0fd-55ca-470a-986d-33fcbe5a903f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"9th International Conference on Learning Representations,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:61a472b9cff42ee817a96363406ea60c412a5aa8590d526b6c2da631fe829275","observation_id":"29535009-460f-45f2-a34f-2bce62ed9b6f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14491","last_updated":"2022-01-31T07:20:20Z","snapshot_observed_at":"2026-07-06T11:14:04.454155Z","submitted_at":"2021-05-30T10:17:58Z","title":"How Attentive are Graph Attention Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14491","snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"arXiv preprint arXiv:2105.14491 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"cited_paper":"/paper/2105.14491","citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:4840d39804b870d1f88a4df2272da8879b39fd51ab174bd8f2e2679e6a836047","observation_id":"f9b8e110-035d-4de3-ac40-4e06f8679316","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"2011 , note =","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2488e2fc935e9e85e1eb42395450301e74a84713890b6dc18621a3bd1c3e5323","observation_id":"9446d498-a6d7-46dd-b859-c462eec80cd9","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a1022b2e77f51ffc527bdbd19105994562b8480cfa5b5075b3ff4c40db71ccfa","observation_id":"408fbee6-f238-4efa-81ae-0ece191eace1","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f60bc44c1a7e26058bdd687323bea6d132684e5af68abee60a5d126ac54fc1c3","observation_id":"c53c991b-6bc2-4466-9fca-37108c6c5ccb","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:ba30c0a87cbafdd7428e3bf0d3974be4399d9fff6c7c2bd9e7799a1f07f65c64","observation_id":"465aa280-55a4-4310-9f10-8f51a3218d1f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence , articleno =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a11fd03e97a82139230439db9b5aa3ba099eb1586abc2d480983beecc8cbb8b8","observation_id":"543b8716-2721-44ea-889e-940d4d883971","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"ACM Comput","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:4023f31d034cc0aec20fdf5c25018ef3a712445ec16950775f02d1bc7514311c","observation_id":"b05fff32-4816-4f22-ae2e-a8f8b3ae4672","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.asoc.2010.10.009","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ANFIS based sensor fault detection for continuous stirred tank reactor , journal =","venue":"Applied Soft Computing","work_id":"8764f78a-a1e4-42d5-b375-98cfa9568c9c","year":2011},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:68f95898e10a8d1f443b46d36b6fc9ad550486582564e9823f2f2b22b038aacf","observation_id":"3d130961-5c8a-478f-a78f-dd4a09ba3ad4","resolution":{"observed_at":"2026-07-14T14:10:36.727067Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:45.215657+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:45.215657+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Spam bot detection on Twitter platform using Positional Attention based Dense Convolutional Neural Network , journal =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:1d65a947485161a48883883addb3c36c5eb1514487c03071aa272da70c7bf293","observation_id":"457a6f4a-c2ee-425d-bd55-9a682ba54728","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"and Yo-Ping Huang , booktitle=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f4b81fbc12b74467a2f97504bf73542a74c1e3240c49d92b5e1c7934751a48bf","observation_id":"c21fb057-49e8-4497-92dd-d61bb8c0ab1d","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Principal Neighbourhood Aggregation for Graph Nets , booktitle =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:60780fdcc6ddf276c45626fadfbdc72db1b5517f46061598e20e3ad8d987824b","observation_id":"e38f2659-5240-4d99-8b0a-9c90f26166ad","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"7th International Conference on Learning Representations,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:22954012b13831e47d5b76672a3a296b72126fa6b8cf2133d65ff51fe40a4962","observation_id":"ad4bb80a-963d-4591-901b-8971b95e0797","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Graph Attention Networks , booktitle =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:584a014a7f2873c7242f1feac062628f816e9257f2b86db3ba400f5d61616cb5","observation_id":"4ff4dc59-7759-4f1f-afe1-e0722ab7a9fc","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"IEEE transactions on neural networks and learning systems , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:b13c264c4d0f6d666f4dab394efc55d64714afd8f4b2c155f1a5f34024ddb149","observation_id":"cabc2a61-6a2f-4021-b21a-4d7f240df517","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Big Data and Cognitive Computing , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:6b257082ddc02abe780a6d22b37099e36dc8e591fe635addade18b05a71f071c","observation_id":"b9509691-cbe0-4cb3-ba8d-865c01c04706","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Applied Soft Computing , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:131bc4bcc6bdcdb860d4296e27885338715ae20fdf93ad9de9b50ed439ea039c","observation_id":"110585dc-d1a2-4736-823b-7523272f266d","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Mathematical Problems in Engineering , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:832baaa0d470e47b29bc9dd04e0dc979ab4da97b8a6292503ef46ef1c63ab2a1","observation_id":"bb892f18-7951-43f7-bdd6-d75e55d84133","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Ecology , volume=","venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:af88fbc9acd8c6f25ff37d80448a671ed501fef4d1056e9e1f2d403f74cb95d6","observation_id":"cfc81f4d-05c3-42a2-ad45-e6137fd74cf1","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Oikos , volume=","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:28be56ca478880a9a091fa419b35c7ded1dc4b8ff9ce19d55e2dfafb54a597bc","observation_id":"6f644f89-426b-4d0f-9d80-252e990c3413","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"The Bell system technical journal , volume=","venue":null,"work_id":null,"year":1948},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:d6a9c6413d87a5a59d5c7eec7133889124cb0d2be1547684068daa5adda27ff6","observation_id":"eb20a96c-d2a7-4d84-91a7-954fe43cb02e","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification , booktitle =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:3da8c13fb803e0f975c452d4d24f0dc100d2d683070bd6b9e1b0bf1771976504","observation_id":"a75e4697-f1dd-4e90-80ff-8f6ffa5716de","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the 5th ACM International Conference on AI in Finance , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:0dbdb9100b2b9e3aa01a2affba0cf865f57883f80ea9fe53a4123c63f52dc9e2","observation_id":"65701fc4-a79d-4b58-8380-ed5a9c014900","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:66e841825b18f27fcc2726ae21495a372cb2c3a8e646b9018087de6e73583db3","observation_id":"bf873861-f82e-4538-a967-7111b016beff","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Kipf and Max Welling , title =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:e28dc3067919adcfc4948ae45b105f7e1e91727baa694f4289c65bfc21a27678","observation_id":"c7cfc300-a4bd-46ad-9560-b13d91ceba82","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:b6e06797818918cc0ea1031e3a7eb83ec7e2060e3e614cc4e88070ee3afdd5a2","observation_id":"578094a1-f5ea-481a-be2e-85c4b3e51689","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Neural Networks , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2c275696e0b753c5ad74f0fd11e5138d79d537f11171198c42353bcefcdbb9d3","observation_id":"64b55be2-c28b-48f4-b415-886109750db2","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"IEEE Access , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2a463b69fddebbe613dc3b2b34c97ae09878b20b0d87f998f526e0e5b9fc461f","observation_id":"5b0997e0-9c94-45d4-88a2-3eb5d37b827a","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Big Data and Cognitive Computing , VOLUME =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:33268422ec385f8e8eeab16b6fc2664476e56a597be0c185699f01f9522d8630","observation_id":"c9338301-f67e-4005-bf64-ac56dbe1dc90","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.106883","doi":"10.1016/j.asoc.2020.106883","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ensemble of deep sequential models for credit card fraud detection , journal =","venue":"Applied Soft Computing","work_id":"644b2455-513a-4d26-825d-7a073a32babc","year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:3fdf160ee8afd15f1e7a348652d40e073007eaa6594a100b52e47effac693c7a","observation_id":"bcd8507a-ca41-4371-b489-097ef4570efb","resolution":{"observed_at":"2026-07-14T14:10:36.723108Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:46.633857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:46.633857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:cc34b2281ffe617cda66b50aad276e738e719743a2e7052416c154e60521c797","observation_id":"d15eafb6-f817-42d2-bfed-3c3d805e055c","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Decision support systems , volume=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:8bd52337fee2d0c9499fc7a82e54e1ed9bc979742efc2f1ac019093384f5541b","observation_id":"b43682f6-8970-4393-a251-d5159d8d9d5e","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Expert systems with applications , volume=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2a986ebf3ef041867dfb0d02c95b11837ca2179e2c6965d1510f83c65920187b","observation_id":"154ed18b-e5a8-4021-943f-542bcd7477d3","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:6126584e7162aec6d4cdcaa333d5f50247dfc44e35f1283fe23818ed947f3329","observation_id":"161d06fb-887b-4628-b1ee-c159287f000f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:10ce81e5618e1d80ebf23fa9ece1d7cd1933899fbd10cf7caf555bc6f6a6efb6","observation_id":"dec12eeb-6f77-459c-981d-11a86544d406","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the web conference 2021 , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f56016afc13ed33dc8acaa5ee792775fbd227455dfacbe8f3bf009628878279b","observation_id":"0b9423a4-1d63-4a8a-acdf-804bcec1b85b","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:4983350c03500106865f251b8afe67655f87a11aed3b133c3c20bd3f487b6055","observation_id":"9eb80e74-a837-4cc7-8822-24a09c48c572","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Algorithms , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:c0847ea65501696ed8adebc59530f33888bc6c0605a47862ea87df4cd2e21cfe","observation_id":"568b1983-d266-40cc-a868-2d98098a83d0","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Computers & Security , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:106fb7ddf4117b2464dce2c81b7f3dfe9e70a628ba654d61b13019371cd328c9","observation_id":"aa071e94-c1c1-413f-ad5d-d831dc280e9a","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"International Journal of Accounting Information Systems , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:6bfecd3c96e7bf0f5edc809775a57a6210af8753d1287044ba88f39c35ad54d7","observation_id":"6578392c-dffa-40f3-a56a-926d5b23c947","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Ieee Access , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a591de941c64b1ac792e68a0d54767ddd7c576899f1cd3b545f1c58fcc611bbe","observation_id":"9739ef68-d865-458e-95e5-0ca0014c10a7","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Procedia Computer Science , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f38abcef92dee5966f9c86502979d052390765000b8452f67bd304a5b56e37e9","observation_id":"18734a78-86af-481f-a072-916b02872da0","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jnca.2016.04.007","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fraud detection system: A survey , journal =","venue":"Journal of Network and Computer Applications","work_id":"dde53e09-90b9-41c3-88df-306805fe65d1","year":2016},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:dc068c188db0d9f45f400eded95490ecd1528a7d462abd406f9931d842d3ce45","observation_id":"48b676cd-89cb-4fb4-a07a-a4550abed0ae","resolution":{"observed_at":"2026-07-14T14:10:36.703780Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:47.251469+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:47.251469+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:904ebd93edca72c763e12e52ae36d5a231c7f3c6a8d9867198f3975bf902f179","observation_id":"f6d25ec6-625f-4c98-9079-9aa6395acc9c","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9073.340907","doi":"10.1145/3409073.3409078","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proceedings of the 2020 5th International Conference on Machine Learning Technologies , pages =","venue":null,"work_id":"008f1622-09bf-4fa5-bf97-630dc18294f0","year":2020},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:9d7e636c7a1e476abfbd0829d436cd50c47b2716737e52bf0af613c86e2792ea","observation_id":"d6a3740d-003f-4b1a-ba5f-71f6190b78a9","resolution":{"observed_at":"2026-07-14T14:10:36.718052Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:47.705683+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:47.705683+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07715","last_updated":"2022-10-28T11:28:46Z","snapshot_observed_at":"2026-08-15T03:47:34.856944Z","submitted_at":"2022-10-14T11:28:47Z","title":"Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07715","snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"arXiv preprint arXiv:2210.07715 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"cited_paper":"/paper/2210.07715","citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:6904cc78e8a52d3ade2de136d5b3683bcf334f098ad6b8f08c51e948e5f88f43","observation_id":"78b50ba9-e8e1-49d0-97e7-4776596e7c16","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Sensors , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f298d8ef7ad435fcea9acd0844354819c2fe404aec618b89e060ecd0737a7541","observation_id":"ac0651a0-d5b8-49f0-af3e-e5796004cba9","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Applied Sciences , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:c311ca7cb70d5a73efaac8a35ae7158508d10905f572e568fcb9b22426ea30de","observation_id":"110508a0-366c-40aa-ae5b-492585177ff5","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the VLDB Endowment , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:d5b18b0d6acf6c76ccac58bb4c707acefc81f464ac7274c118d90dedcb91086d","observation_id":"b36dea06-b04a-4514-aecb-03f7c1112e3e","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"2021 IEEE 17th international conference on intelligent computer communication and processing (ICCP) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:219cd0763765fd1b839b8e21bccba44acf317b76375a9f5877a3641bf472e9aa","observation_id":"9bd2c586-8be3-44c0-9f5b-87494dc0f665","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Expert systems With applications , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:d9c00d5641663dd545c6820488a2aec71ca15049d58f3564cb59cbbcf5f30f3b","observation_id":"108b480f-bc84-4b5c-bce8-83569e5a8a2c","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Internet of Things , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:bbd4cd0dca03461ff092917186a5baa6a1e6d9f25234c941b5258a1c00ff8e7f","observation_id":"086cca8b-0bc8-42d0-8733-d736ef5d9a8d","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:0335c52a5cabf905cf05dfe4009d060dbed31824cf517d409d7ba6ae42d1d9f0","observation_id":"56da1829-3491-4950-a759-7cedcbddbafa","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"European semantic web conference , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:5c68f0bb62c31f4dab96d4afa18eafe9692cb9379856db322e1cf6f655bc8128","observation_id":"72302e4f-7b7b-4df5-a0fd-ab4d2d6d8132","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:4213a5df45635fab4331b79f9d4da9bcaef58a69be2c3daf8cbfd11e9f3a26e5","observation_id":"cabc59f7-c492-4b2d-8534-43d2143b983f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Finance and Corporate Governance Conference , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:908038fd287175cb03ad451f255c7a33b8798c4db2ac56a822b73eb2f2a8ed0e","observation_id":"839eb6f8-f6be-41bf-8d73-b1d069de4d53","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Journal of Computational Informatics & Business , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a85345ea34bf294589e5215e56e7568ddc31aed5e65fa84a80b1b7a27910b4ab","observation_id":"50d8395e-95e1-44d9-9ad7-b3e753e4e945","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Discover Artificial Intelligence , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:5cc60dff1ba87ab6d33fd50972da7a19fc8daeddfbe52aa5b0f5dc78a3d8c5b7","observation_id":"5fc8fde6-7737-498a-859d-3029c771d704","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:dac7d5d24b46c1cbdb5eee55a0db32f91ad51c9924b7babe57420b6af9390aaf","observation_id":"406a2ac9-933c-4c70-bb8f-badac31033e0","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"IEEE Transactions on Knowledge and Data Engineering , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:b4177ea7424071cc964defead6b5c241606da29182cf6883f99a3d0f744ef977","observation_id":"89381dc3-0c9a-4f01-8cd6-c79964f3a73c","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"Wiley Interdisciplinary Reviews: Computational Statistics , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:e7c35a4c676a0f6fd9ab86f7f661a4027b95e92e600906c1f5eb63d2aa94bd74","observation_id":"06ec252e-ce7f-40c2-81c1-efbfa191283a","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"2025 , publisher=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:b5acad54ae8fafdc1bd08b8dafc08e84562929eea3f1e42f02d1f4d5f346935e","observation_id":"91b89f4a-71a1-4170-800e-2e96ef3ca491","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"V.; Egressy, B.; Anghel, A.; and Atasu, K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:61361591e6d165385fe979ca29bb95ae0cdb09d6db82cabde2a186720400d04f","observation_id":"b9ac7504-de92-49b2-8306-319b0ef1f4a8","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"D.; and Vorst, P","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:235f6afef73534d2a000be9368fd54cc20247aa48b1f3593d484fe840e97ec8d","observation_id":"7d67c2c9-0ded-410a-b06e-cb0be544caef","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00241","last_updated":"2024-12-10T08:27:38Z","snapshot_observed_at":"2026-08-15T07:47:13.303264Z","submitted_at":"2024-11-29T20:15:18Z","title":"Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00241","snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"C .; Chen, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"cited_paper":"/paper/2412.00241","citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:317401755ed948e2e89b001a6452c5e07769c53e2178a1ab56c5d0b2f13c946b","observation_id":"66c1449e-629d-4513-813a-1b2371fe88db","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2d9f6ff91d978d09b7472fe852992ede615bd1b0fc1ec69acb88b24ee06b7a1d","observation_id":"b3dd105c-c3dc-4798-bca1-c16651577b53","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f816ce0bdf8a3e742df747e825f49317cb37c4b95d36593e84e7e7a868e0af87","observation_id":"c27a4f60-c5c7-466a-8ecd-5b315c3a03d5","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:db437b0831f4bfc8b3445bf022cd469f13be03ac7fd64a11cb7e431c3a0c5121","observation_id":"d7ea90ea-904e-40b5-91bf-05e1c3e07fbe","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"D.; Teoh, E","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:35eeed30ec85f5cd8b65a1e31616bea78b8a6c35179395311631becd149ce709","observation_id":"823b7f63-565f-4277-8c6e-a1085c961556","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:74df4d4e06939a272de8650b4d21f235a6a19d6a83e11e5635588f7d9ff11c7e","observation_id":"b9d44f6c-0dbc-44a5-b27d-46c044ed94c9","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:8b4a4cf0dc2a2f17c46ce216e88547be801f34305b6494730d860064b32adeeb","observation_id":"a57cfa6a-260d-46a0-9cfc-e9f7fa88d19f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:2041cdcb636fa8a1d72fc1bb2a82763267abcf677a99965c54bb1e8d67eb0bc1","observation_id":"238810fc-47df-4618-b418-ab399d0a8b5d","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16901","last_updated":"2025-03-21T07:10:27Z","snapshot_observed_at":"2026-08-13T14:29:33.811595Z","submitted_at":"2025-03-21T07:10:27Z","title":"TeMP-TraG: Edge-based Temporal Message Passing in Transaction Graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16901","snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"cited_paper":"/paper/2503.16901","citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a067cab480214eab46871c12dcd76ae8ded2edc8b936b7d9d1ccbf05966832d0","observation_id":"75831e3c-904f-460d-a121-c145293a397e","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"A.; Beutel, A.; Shah, N.; and Faloutsos, C","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:f0dff56b9fe9615ebd376d5c285bc9c06b471bb911bf609bfde6349783bed94e","observation_id":"989313ed-4362-4736-a6d7-54bdffaafb01","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"T.; and Villar, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:956db88ef5142034ebc94335463b19f3ad5ef823f4cdab4869212f1f76f5f5af","observation_id":"2ceba9ac-0e00-494d-85eb-baea9fa8ca97","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"R.; Hermsen, F.; Chala, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:af783c4579fe899cb5e0f16aefa4fd20a67b12a7a7c9848fc179ec562e4ded25","observation_id":"0aae3f5f-065c-4f7e-9528-4ba065dcc26f","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":"N.; and Welling, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:23386bccdddcdbd46e3d53c4c0027be4bcca2a55ad0247ee0111a60642148e89","observation_id":"af2df374-dda7-4221-9e90-8c3cfc2a98f4","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:403b6a3f682ee760b14de6f60e4bf21da2fcc954a4ac919ed2e4d978d4a6b2fc","observation_id":"1a52ca06-4b32-4025-aabf-b178fc2ce64b","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:368935999f9825b3c02a8790f988d55e2464fd4428927a67a946922369d0cb8e","observation_id":"9161f716-6a14-4684-8ab4-180fb6efd9ff","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:a2536728da9ceda074bd89146fb69ed00d845f04471898d9b3bc9961dd41a5c5","observation_id":"7b10908e-4626-4dab-a0bc-008aa312fab7","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:5357db0ddad61cb714727aa8da4c38ac93e5a45155b7a3d0472b6c3ebfb1fb2a","observation_id":"8e747179-eeb1-4584-98cb-ab5f45acd2a7","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T14:04:13.095632Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-07-14T14:04:13.095632Z"},"links":{"citing_paper":"/paper/2607.10131"},"observation_digest":"sha256:94cf014455143a1170d9fba4131bc00510b2ebf7bb22e394b7ed737481e07f97","observation_id":"86b59ad7-90e3-4257-b206-5608de29da4a","resolution":{"observed_at":"2026-07-14T14:04:13.095632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.10131","last_updated":"2026-07-11T05:42:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T09:45:34.065133Z","submitted_at":"2026-07-11T05:42:19Z","title":"SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":96,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":118},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 0 inbound Pith citation observations for arXiv:2607.10131."}