{"as_of":"2026-08-14T00:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59f25b4d1b8525715d6109a533761c0c70e5f6a0e4d76daeaaae8d4127abf8ba","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":"2026-08-13T06:32:02.005865+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":"2026-08-07T18:41:21.175243Z","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:ab99d2e2bc29e79c9948aa606bf1cbbc2a8fa88ded2c070bd4025ceca6cb2ba2","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":"2026-08-07T18:41:21.175243Z","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":"sha256:22e8dac57ee9149a4f89ac17b1ac352063e32ca4ae9e9d08ee720f5818a3b6c3","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":"2026-08-07T18:41:21.175243Z","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":"sha256:2b8ab951d1bb10d719337fc60f513164f86057d1e901a973481f4969896a2449","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":"2026-08-07T18:41:21.175243Z","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:cb76166ad66a7aed1c4bb19a0a126103ad747afca59763757f52b4c0dcac0855","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":"2026-08-07T18:41:21.175243Z","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":"sha256:530d63ab33fa08b352b92744e95a7fc7242f19d75dc7f93a9220dc987c8462eb","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":"2026-08-07T18:41:21.175243Z","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":"sha256:98baeebd6e711e5ef97a3bbdb162d6928c87ebab04bbf09884fb697fd0bb1134","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6e16bbcffb2abdfb29b8cbd27b28d82f2cc3f989abbab62645f41321107bdcea","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6b06c4d9c1e7c00c12207d5e6efda962ee17c01ae24fdba29739aa7a68881e83","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":"2026-08-07T18:41:21.175243Z","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":"sha256:137cd2fa636d85f2476295657bf73bab13d9a07b57e23d9f7d2817a26bf3b8f0","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":"2026-08-07T18:41:21.175243Z","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":"sha256:7f7dfcc15a90ddb8bd04ac4c559d21b5ee5a8ec7f83a554017f44495c07f16d2","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":"2026-08-07T18:41:21.175243Z","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":"sha256:326631676d84f7961c56f4f1ebfe97c8cdb6b791b142c7ee01b391b3b9feb7a8","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6bda15df43ef03ba1279800f253fcf9750d209a1dfeae81df52560cfe4b76017","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":"2026-08-07T18:41:21.175243Z","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":"sha256:81cd238b7e3e9f4becd5e77d6ec829cda99e68c0186e4540e55dc2e857741797","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":"2026-08-07T18:41:21.175243Z","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:ca0ee5c572bcf1d3d549cf91725aa0530386870583a5c4a17cfca1b6c9743b31","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":"2026-08-07T18:41:21.175243Z","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:f1d4ef4fb6aa6fa5d689ddda114d7f1c8bf05d8e456cd053a26a2df998585249","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":"2026-08-07T18:41:21.175243Z","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":"sha256:1e26f17a8c0f0ccc001765f6c3b13fb6071a47df7ae2abf19e7a1364219cd994","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":"2026-08-07T18:41:21.175243Z","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":"sha256:3385b1c4022cefbae2a14e183ed5e54e72bf2bab39980440fc0178f49c333cd3","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":"2026-08-07T18:41:21.175243Z","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:babe2391ea6a3d5f7df93f45cb0e973c603606544a96d4ceccece7456892c45a","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":"2026-08-07T18:41:21.175243Z","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":"sha256:69e206d3a10278560786491d97377a9056d14feb66f0035f671fae57adcf9254","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":"2026-08-07T18:41:21.175243Z","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:f223be665610ddb3515db2528ed7b31fe6dc7c8a52bd1495e5ff481c3f114053","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":"2026-08-07T18:41:21.175243Z","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:f611bdb883111a15a1134c85118124b34ec0ac245d6394a085189a36b031f72f","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":"2026-08-07T18:41:21.175243Z","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":"sha256:39c1cb6aa393d4b2c83cb8489fb3cd6ab54023bd20746b1ad899f4f5bd489620","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":"2026-08-07T18:41:21.175243Z","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":"sha256:8b706b8addf3d1006a78337121f19a18e49714f8b514bea4faf30da55854ae27","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":"2026-08-07T18:41:21.175243Z","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":"sha256:58baab01fdc35475d0bb57d9b2912ba1c9da8c18cc3ca96bba334dbf780a2b8d","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":"2026-08-07T18:41:21.175243Z","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:e0cd829466a4ab2503f317b6bcfa0bbcf153eeedc4a1eccd9b330734b7ef7c1a","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":"2026-08-07T18:41:21.175243Z","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":"sha256:25bb22c9248e6d2f0713b3a0fa3a433a80e53a50b0062708c928cbaa63eb2ba9","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":"2026-08-07T18:41:21.175243Z","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:e4f849a6bd54ec4ad6cfc873e4db386c9600d3fd64a9df710133d6f93d629435","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 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:45.215657+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:45.215657+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T18:41:21.175243Z","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":"sha256:1c8d17580bb5fe3ae1e61d5ac99915f7096ea8d6456776f662d4c52a7ed96832","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":"2026-08-07T18:41:21.175243Z","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:fe1ebb0a47ed4bf61d2d05c03378e74af729d5221606f5ea0fad1a12b6916fab","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":"2026-08-07T18:41:21.175243Z","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":"sha256:54862cd51dbc6aaad9b2b67a0cea03e292a46819f6ee10b15e522adbfcb241ce","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":"2026-08-07T18:41:21.175243Z","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":"sha256:892a70a3ce613317121c71bf738a8d68fe4add15368a8b424f17e597bfdbe5ea","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":"2026-08-07T18:41:21.175243Z","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":"sha256:23bfc42f9a6d344fb65b63f51f32e5dd633e2b7488cd27342adbd61068b4a929","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":"2026-08-07T18:41:21.175243Z","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:c1111326d51d3dcbd43256084ebef28cafe1a2dd457347c1bf86457666d93530","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":"2026-08-07T18:41:21.175243Z","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":"sha256:4b5630728c1b67973b244ab4753be1dd947c64cafd0ba589f637cbf45b379103","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":"2026-08-07T18:41:21.175243Z","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:ea5dca4f6358675385aac2b28cc5a79cc918d97f5d21c499a28a5c4cd7cc6101","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":"2026-08-07T18:41:21.175243Z","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":"sha256:5892d1a45970270f1c5c9869122058e744e638ed006cb4cc3167a705f7a57bbd","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":"2026-08-07T18:41:21.175243Z","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":"sha256:64a254e95adb1bdb9f5bc549ba1bc2ef17afc4ff07bcb12bd0b541941d444e1c","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":"2026-08-07T18:41:21.175243Z","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":"sha256:8753acaab662dd743467ac3e585ae12667aaff87b0b3c2a34fff95ca40fbdd15","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":"2026-08-07T18:41:21.175243Z","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:ebe3c649871adbb9dab6a7276a2a4a52cf75baba8591218fa4132e8fa1a54ece","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":"2026-08-07T18:41:21.175243Z","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:c4ab247d5fa71fbe2bfd13c8f9688cc87d5d811290372eb107a456254509ac6a","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":"2026-08-07T18:41:21.175243Z","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:cdb7d9133de2b04eeba482cf463678de539404ca6a12106f1382d18c97154544","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":"2026-08-07T18:41:21.175243Z","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":"sha256:0d70e219a97647b30037f921bdb7dd98e702dd25202c12238e375cc4f4d5bcd5","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":"2026-08-07T18:41:21.175243Z","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":"sha256:1c4a5ccecd39013de443c6a323644cd680a331d1cc573a0059715c70446bf625","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":"2026-08-07T18:41:21.175243Z","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":"sha256:0a6f11f2cba1519ea9f8f35d9975fb197e70ca7426a347a6dff4197b553fef27","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":"2026-08-07T18:41:21.175243Z","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":"sha256:0c34d1578b48324886faeb44698e287b0898bf64a1e3092aa1be65468601234c","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":"2026-08-07T18:41:21.175243Z","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:ec4aace2b26c3aba46ce9f21b8eb5c79397edafde8fb313943d6d84eaad8795d","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":"2026-08-07T18:41:21.175243Z","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":"sha256:43f22c52b8ca9e4e5985f4cf23069cc09144d438f1ed7193b760cb35d0e3ec5b","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":"2026-08-07T18:41:21.175243Z","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":"sha256:86369ebf5eb703efc85819ea968793c27f1ff86c3c800e9d093b208fcdc664da","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 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:46.633857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:46.633857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T18:41:21.175243Z","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":"sha256:50541fb68626a1527f6de96a59f75618bdc8f43d8201931a2528f00024086354","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":"2026-08-07T18:41:21.175243Z","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":"sha256:8b56b345bee08d63930d158111798c65057d58144cde953f5e4482c59cd16c8d","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":"2026-08-07T18:41:21.175243Z","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":"sha256:658e55829d372ebda90f28188f76332f1094292bb582086782f635a575ed79e8","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":"2026-08-07T18:41:21.175243Z","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:ad0c929f26e417a4247d82f3bb28ef7dc4bd092cca3f6009544f3a86b9db8425","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":"2026-08-07T18:41:21.175243Z","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:b489472120f2b6bf5950cbf408a8b7935c8474278f6991891fc6403f1dc80cfb","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":"2026-08-07T18:41:21.175243Z","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:c6f8bfd41e137ed0ec55b2e7dbf356d4363ec7262ecde2c315787f128ca04496","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":"2026-08-07T18:41:21.175243Z","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":"sha256:1018c276538b8036e0ee2b43b04fd9d3617071e89002bf2c73e2214d417a0589","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":"2026-08-07T18:41:21.175243Z","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":"sha256:50657451a8005989d85b46305921f83a8edd8b757d836c63d2fe77a7cc7a59b9","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":"2026-08-07T18:41:21.175243Z","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":"sha256:3513e84852b5c13cb8841224eedf56502394ade0fb8feb084fef222f3015d1bc","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":"2026-08-07T18:41:21.175243Z","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":"sha256:1e7eb46cf603736dbe346e0a52dd68bca2be7287b6c50b3843e6076930e703d8","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":"2026-08-07T18:41:21.175243Z","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":"sha256:5243ff3fe56b7772fb011c1b48778804ff50b4f88747785e7c3fe85f52398f3b","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":"2026-08-07T18:41:21.175243Z","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:eaaf83ba0897597f472e2bf1f633902f5529a668d6eaee9a734749e879dd6346","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6125567b8bfd4690a181286376cf47af005b2d13fac9e788226de4f1d266c622","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 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:47.251469+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:47.251469+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T18:41:21.175243Z","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":"sha256:01873d0bc1029bc3f0daf55274b8f1c7ecbdba9606339a09ad318f32fa228fa7","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":"2026-08-07T18:41:21.175243Z","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":"sha256:4f3793605a85f81016ca0038e89e1d8392e69a91b912890e3539567fec11529a","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 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-07-16T19:20:47.705683+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:20:47.705683+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07715","last_updated":"2022-10-28T11:28:46Z","snapshot_observed_at":"2026-08-13T14:05:10.058942Z","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6b1635d91fd586df884e37cfb16f0179c7a095ab39bb21eaaee7551d46d45b8b","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":"2026-08-07T18:41:21.175243Z","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":"sha256:7d5bf322a74c2e45307abdcc12199ce60af265fb1dc5d9510cfef6bbfcc910ff","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":"2026-08-07T18:41:21.175243Z","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":"sha256:2d560e285af69e887b0f39c365230549140d8b6f4347dd93f91cd9f77418c1c9","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":"2026-08-07T18:41:21.175243Z","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:eff378da36a5b64f5d5031bfac55714a4cded25bda41e6321819a0a46c80d2e2","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":"2026-08-07T18:41:21.175243Z","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:ff59a7935c587d46d268ab0697d55e9fdd4efac6a64ab3024ff09dcd637939de","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":"2026-08-07T18:41:21.175243Z","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":"sha256:8638a7ba9d3fa6b179c2a0d8ee417770477e596c5b8564102a6700b2ecf87357","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":"2026-08-07T18:41:21.175243Z","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":"sha256:512ebe3d8b1063c482019afd36eaa214cf12ecd73be4c9ebfe24cabe682b8a67","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":"2026-08-07T18:41:21.175243Z","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":"sha256:0dacb216431f4fa0a3aba217ff50219692da496f16784d16e1897355d718dafc","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":"2026-08-07T18:41:21.175243Z","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:b08f2604f5c8c6e4ae64651c28ab12bc43d809002bc083c733072ef8542d74cb","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":"2026-08-07T18:41:21.175243Z","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":"sha256:9f76c6eb7743c9a3a9d9731caeca65b93717d7e4cae1894242391e5b5791d0ae","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":"2026-08-07T18:41:21.175243Z","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:d67ec56e10af0a8fe7286117b6ec62bd49bd037eda31ed26c5a57bb5bb0c1b49","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":"2026-08-07T18:41:21.175243Z","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":"sha256:4117af410639a5a91e4d2ce059b2a6ea070ba62c5e7b5d6dcaac8c660896b0b0","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":"2026-08-07T18:41:21.175243Z","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":"sha256:39ed27b0ba528db999a980c9baad660b49ee6546e23e3f36525e2eba6005fc8e","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":"2026-08-07T18:41:21.175243Z","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":"sha256:65060a7142874cfbc98ea6613399f3d3d26ab9d0f6723763cd22d19cac4db136","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":"2026-08-07T18:41:21.175243Z","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":"sha256:2557034a435850aa5f9a0c290414613626077540a57edcf962ef157bd73eb185","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":"2026-08-07T18:41:21.175243Z","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":"sha256:990a0cb1dbd4701e487191222cee0cbd5334aa573fad708edefdb009aef4d86a","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":"2026-08-07T18:41:21.175243Z","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":"sha256:80b04193f7c20e34784467671da72a6df6b41359bad34df14ff9c8ded2581432","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":"2026-08-07T18:41:21.175243Z","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":"sha256:804516a66e76de496ab7313022d497f317b1d4de87f6c5e19454e8179c1dd13e","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":"2026-08-07T18:41:21.175243Z","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":"sha256:60b8f6a1806f8933462f5c7197105a6604d59d755fb7ce7f62e4f5d19bf2bff5","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":"2026-08-12T05:32:42.947356Z","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6bd0e99718bd8022c05cec8e71d1cf6d1c1bea1d8c8b63ff50a2f50ca530d746","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":"2026-08-07T18:41:21.175243Z","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":"sha256:31ae0ee3b56adf756dda96e5e4ca1e9468424a47d1c73a209bcae2b29c162032","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":"2026-08-07T18:41:21.175243Z","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":"sha256:4273457e7fed7cf581278479ce6b3f5f895645e7a85ab6d652ab8436e2a8bf32","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":"2026-08-07T18:41:21.175243Z","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":"sha256:5a14da787ab316843e5e6aae7b180d93bbde99881f843426d6221cd2cea3410a","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":"2026-08-07T18:41:21.175243Z","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":"sha256:4076769363cefd5d614358c5948c1292aefc452bb4752d785819f8765defc555","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":"2026-08-07T18:41:21.175243Z","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":"sha256:5dbfdd0996203df5660c27e430c6db1e93da49a85d9390c447c609826e15283f","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":"2026-08-07T18:41:21.175243Z","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":"sha256:66fb9dd291f9b0d37b9aa60c7ec0b4ce1d366fc4e2da3c63a96fec802e491343","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":"2026-08-07T18:41:21.175243Z","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":"sha256:15c5417e60f39a7e3f1fd3f2d3fb6d32895b4263a4d29768ec9c16e9d014b359","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":"2026-08-07T18:41:21.175243Z","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":"sha256:0735ecf72492f929887da6f104d28c20fbc45d2df62f0cc536fae14e3eaae7b9","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":"2026-08-07T18:41:21.175243Z","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:f728c13d28324899866b35fec7aa17e8766fbb50cdd5751f65c2f993b5a08372","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":"2026-08-07T18:41:21.175243Z","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:aa26bf7ccf093204c3033633a1f0035d9af3587026578b94880ee6fdc547bd78","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":"2026-08-07T18:41:21.175243Z","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:f7d1dd6dc04dd374e556c1f211778cf3f4576c5ff8d39472ba83a64670266d49","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":"2026-08-07T18:41:21.175243Z","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":"sha256:16ae208d36ecc86ab1b6f7c7ebd46196e4b536d7316303d7315e648d2029d850","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":"2026-08-07T18:41:21.175243Z","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":"sha256:7acd26579c17b85fed82c60bb8e07ca9c8d80ba3691dbca2c08435ad8a97d798","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6b6f709ba1468e6e748f96da56d3be24b968ab0377ae2bfd596a170bb3a239a3","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":"2026-08-07T18:41:21.175243Z","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":"sha256:229e969b15c117133f189137841c6018f71efc275988248eb706a1747c8c78c9","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":"2026-08-07T18:41:21.175243Z","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":"sha256:6bf9f796ac77b70c9ca85dad1cae2a9eccd8a1277e21f55fddfda7515d02e911","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":"2026-08-07T18:41:21.175243Z","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":"sha256:150ed8cbd80bbe8ca4476ae784070240d1b0e892ec85daba3bb34d4971c3708b","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":"2026-08-07T18:41:21.175243Z","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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 0 inbound Pith citation observations for arXiv:2607.10131."}