{"as_of":"2026-08-18T05:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e681c4503a594d3923f1f4d1fa2a44b180d9ec1ca8ace0d59de99712379570d9","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:55:50.321313Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2507.01980/citation-record","integrity":"/paper/2507.01980/integrity","json":"/paper/2507.01980/citation-record.json","paper":"/paper/2507.01980"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.692715Z","title":null,"venue":null,"work_id":"0b49cc69-2a70-43b9-8955-a8fdc8cdc410","year":2016},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.190856Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:e4d7ae33f77dfe72abc5a7588c1e2ed8ec80015acd55c98a15bc17e65a11dcde","observation_id":"345f0f79-f6fc-44ab-ad72-56de9285fbad","resolution":{"observed_at":"2026-08-06T22:55:50.696023Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.684854Z","title":null,"venue":null,"work_id":"46d3590e-ae69-421c-bfab-323cb6ae784b","year":2011},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.194455Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:aa03fc8287279bdf43e5465bcc550ee1666be05cbfe2f8cc42172aa179771615","observation_id":"9d716613-ce3f-460c-9074-05968e39ea43","resolution":{"observed_at":"2026-08-06T22:55:50.687704Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.676346Z","title":null,"venue":null,"work_id":"85e71ea7-2138-4189-9540-fbaa5be8a592","year":2009},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.197772Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:9bc0b827e0c8c7de918140958fa8c143666ab90704fbc2aefbe5b17be45ae1af","observation_id":"535a62df-0215-417f-b374-16cd6760ecb2","resolution":{"observed_at":"2026-08-06T22:55:50.679633Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12060","last_updated":"2019-12-27T11:34:41Z","snapshot_observed_at":"2026-08-17T19:38:11.355333Z","submitted_at":"2019-12-27T11:34:41Z","title":"Characterizing and Detecting Money Laundering Activities on the Bitcoin Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.12060","snapshot_observed_at":"2026-08-06T22:55:50.201776Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.201776Z"},"links":{"cited_paper":"/paper/1912.12060","citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:50e55b52ebb52b07adc994ed6870523c6eaa38a86ae99a55638ce03bfcf5ecf2","observation_id":"4e4ddd20-b102-44c2-ace8-33ce19ae6bee","resolution":{"observed_at":"2026-08-06T22:55:50.201776Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.668173Z","title":"IEEE (page 188-194) (2016)","venue":null,"work_id":"1dd6e11d-8233-4fac-b2fa-6644193a1676","year":2016},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.205468Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:4a8d44a6f0f76318bafc6547d30828951a08cd15f91a85c4ac48b3e29ee56b7a","observation_id":"4ce749b6-a6e5-4190-a972-18107e235db3","resolution":{"observed_at":"2026-08-06T22:55:50.670906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.659362Z","title":"Springer, (page 350–373) (2024)","venue":null,"work_id":"3bfbfe7d-1312-479d-8503-dc84b2562184","year":2024},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.208861Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:f62f7532db7ca83dc456766d1098ec2a67506769adb6cbcbddae05a697959779","observation_id":"cd27496e-5243-46d9-91df-7005ea255d13","resolution":{"observed_at":"2026-08-06T22:55:50.663311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.650878Z","title":null,"venue":null,"work_id":"e16ab558-9355-4d1e-80f2-19e8f65a9654","year":2024},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.212393Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:58d8885dc84c90a1eca59a38b50bccfb22966fd1a844bcef8b7a205759774d53","observation_id":"e22b8351-dbc6-42c0-b176-e40589a51b17","resolution":{"observed_at":"2026-08-06T22:55:50.654200Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.643247Z","title":null,"venue":null,"work_id":"24fcdade-a77f-42d0-be6b-796383e2936a","year":2024},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.215362Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:8737ee31f73029b3ad84f8f63db827f758ffe597ff327e4b5213f58d6eb3f6e4","observation_id":"4336aec5-848d-41c4-a093-906d8135fa14","resolution":{"observed_at":"2026-08-06T22:55:50.646038Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.635570Z","title":null,"venue":null,"work_id":"b91266f3-66ae-4409-a2be-ce71766d0fde","year":2018},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.218278Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:ee62c76b72e40d305265b0c9639eb2ab70e184f5b5fa8c64ac589420ba982cb7","observation_id":"345a19fb-646a-4b0f-a74e-6f7ccac95b8d","resolution":{"observed_at":"2026-08-06T22:55:50.638423Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.626791Z","title":null,"venue":null,"work_id":"9dae24ea-08d6-4267-b82c-7b46937901c6","year":2020},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.221333Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:abefc72b0b5a6eaa376fb44f22a9016ac7f58b340242af7da2dc8fa3497c8da4","observation_id":"0c2167bf-5b66-4738-9148-1dedd8dc88d5","resolution":{"observed_at":"2026-08-06T22:55:50.629603Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.617951Z","title":null,"venue":null,"work_id":"148fd3fd-0b14-405b-b5a4-5ea74320ee17","year":2018},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.224077Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:9f83038caa67bc7724c6144ca8bd0b84093e67f72f046723b3f5dba33ce5ef75","observation_id":"913da12d-84d9-4783-babe-4a36965f99b0","resolution":{"observed_at":"2026-08-06T22:55:50.621800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.609229Z","title":null,"venue":null,"work_id":"dd4c067a-5b4a-408f-98c3-bc2f0ce7cd91","year":2024},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.227606Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:b29653a1c9e5d6594caf23f5af98a317c53c826a7296c1246f017e7b713a6031","observation_id":"624fd41e-d62d-41a2-9c5f-f089794aed11","resolution":{"observed_at":"2026-08-06T22:55:50.612710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.601264Z","title":"Philosophical Issues 13, (page 316–328) (2003)","venue":null,"work_id":"e958bf4f-8755-4033-8fc7-50d34acf9091","year":2003},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.230503Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:87f5041a77593829589bb0346dcddb227c991e0a11c3783de8fe256eafd6cb5f","observation_id":"09c0a5c0-2a4d-4a83-88ac-1d99416060b7","resolution":{"observed_at":"2026-08-06T22:55:50.604079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.592918Z","title":null,"venue":null,"work_id":"5562f109-0c2c-4bf1-b08e-31e6ccada85e","year":2024},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.233207Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:723ff40730749be11f3e86f52e6e4890885da047d07e5014841a3296fc3256a5","observation_id":"1f93b536-7e72-4d37-92d5-aaa83a633609","resolution":{"observed_at":"2026-08-06T22:55:50.595710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.585162Z","title":null,"venue":null,"work_id":"1bbe0ced-fc5a-4904-a20d-0c3b82281e39","year":2023},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.236970Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:df77074fa277e5b596285033059a3f8ff2db7fbb30008f7a0dadb7d2f78bb280","observation_id":"71773404-9e13-4705-9f96-379effcaa01d","resolution":{"observed_at":"2026-08-06T22:55:50.587842Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.02591","last_updated":"2019-07-31T22:10:01Z","snapshot_observed_at":"2026-08-15T01:11:57.190422Z","submitted_at":"2019-07-31T22:10:01Z","title":"Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.02591","snapshot_observed_at":"2026-08-06T22:55:50.239899Z","title":"ArXiv abs/1908.02591 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.239899Z"},"links":{"cited_paper":"/paper/1908.02591","citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:937603830b8f652b8ec772a1bef649319e300647aac856d511b4b51b4e918923","observation_id":"a0b1670e-c0ff-4afd-9e3e-3f3d70f90e9e","resolution":{"observed_at":"2026-08-06T22:55:50.239899Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.576642Z","title":"arXiv [cs.LG] (2016)","venue":null,"work_id":"85c98588-f03c-4c6c-8867-5ce86c9b38c4","year":2016},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.243139Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:d9304608a82a3efe58625eb2e4a27d6c40a22c40f8f1a68a8ab3e3c1972cd088","observation_id":"aec8a90f-5172-4be2-89b5-b84adf50c41f","resolution":{"observed_at":"2026-08-06T22:55:50.580177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.568500Z","title":null,"venue":null,"work_id":"68d5efbf-39b4-49ed-93a5-0ea05e5c0858","year":2019},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.246003Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:d6f59c18e3ce2e118a8f6d081d8d960b7390634736ea5c12e60ae44930cd5c71","observation_id":"c0f3e387-47bd-45c0-b09d-d00801ee5072","resolution":{"observed_at":"2026-08-06T22:55:50.571334Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.559938Z","title":"arXiv [cs.LG] (2018)","venue":null,"work_id":"fe4c5d90-66e3-4bf1-bbb1-43e0123231ba","year":2018},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.248798Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:956e9414624580fd009a9cd5ed58dd0a26769415520ffea68a8612a69956af27","observation_id":"90479547-456d-4c8a-902a-c5e98185e31e","resolution":{"observed_at":"2026-08-06T22:55:50.562865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.551325Z","title":"In 4th ACM International Conference on AI in Finance","venue":null,"work_id":"2e7e8017-c3e8-4334-a240-0be63bb6f2e3","year":2023},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.252364Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:c7fbc8cbe237e61cd6d484471629aefa8c0f5e5a3abf87b819f2134ab7fb2f75","observation_id":"a44433ec-021e-4fd2-9700-ae7e41dddf39","resolution":{"observed_at":"2026-08-06T22:55:50.554086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.542936Z","title":"In 4th ACM International Conference on AI in Finance","venue":null,"work_id":"67ac6e7e-0c67-48d0-bbc0-56466c781123","year":2023},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.255086Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:6ef49af7773845cebb7915998850c88d7f3cf3450ed79a033424243af3086489","observation_id":"818995dd-1427-409f-8893-dcd79c349253","resolution":{"observed_at":"2026-08-06T22:55:50.545963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.534837Z","title":"In 4th ACM International Confer- ence on AI in Finance","venue":null,"work_id":"8ece1506-a23d-4483-bebf-5348163b2ae8","year":2023},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.257873Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:1cfb4f0437bb7a112336c0171f765cafddd472692779d9c6205a4c91c34c879f","observation_id":"e5b25ce8-5dc9-422a-bde4-3562402ad3fd","resolution":{"observed_at":"2026-08-06T22:55:50.537932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.526854Z","title":null,"venue":null,"work_id":"474af78f-b562-4603-8e30-d91f323baac7","year":2016},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.261008Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:5053af903e0c2c79f2f655839ea2afa352dd9c37091a857f0579f47d24f80276","observation_id":"43fa9310-1993-4e76-a244-6d8679306926","resolution":{"observed_at":"2026-08-06T22:55:50.529895Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.518004Z","title":null,"venue":null,"work_id":"95f8c622-a787-4b5a-bee6-fe82146ec1f0","year":2012},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.263713Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:8ea562d379b6e60b46f11cf5a6d604de7051025e3c90bc14f84bad5b35ae6306","observation_id":"a31f237d-a54c-49e4-8020-3ab1b0294e6d","resolution":{"observed_at":"2026-08-06T22:55:50.520815Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.509501Z","title":null,"venue":null,"work_id":"3fe47a93-fe0f-457b-bd6a-f506ab932b19","year":2012},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.268066Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:8dc640e8288f74c74d584e1ecface8b2757c212c5cb1e1da2db4e47bafad2f9f","observation_id":"c84a36a3-56d9-4c1d-91ad-fc0f2c7a21fd","resolution":{"observed_at":"2026-08-06T22:55:50.512624Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.500542Z","title":null,"venue":null,"work_id":"e94bd465-7827-428f-9cf3-32644318848d","year":2015},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.270968Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:d2ab88a8ed11b14c471f7db3a0dd547bf2cc5911801d26782a54027e78728845","observation_id":"5bd6b574-4a00-4d97-b8d9-8da61061f105","resolution":{"observed_at":"2026-08-06T22:55:50.504257Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.492916Z","title":null,"venue":null,"work_id":"c6fc86ab-215e-47f0-9260-05860d2a83fc","year":2019},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.274348Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:e678cec93cf7af2871bc42d09c0193780b6f4cc5367435d5ee46d4074ca91a3a","observation_id":"b53da604-21c8-41b9-a884-cc49860d17cc","resolution":{"observed_at":"2026-08-06T22:55:50.495362Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.484099Z","title":null,"venue":null,"work_id":"83f19a22-2092-4fc1-b476-f417583e780d","year":2021},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.277033Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:5e444ee72e68b440e3b6dc4ad3dcd82592e33f9b6d4041ca9d62707ef1885b06","observation_id":"bc747a03-3b8d-4111-ad93-0dd09f52cf39","resolution":{"observed_at":"2026-08-06T22:55:50.487925Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.476275Z","title":null,"venue":null,"work_id":"3d0d5cb0-4f68-45fb-bd2f-12f5dc398dbe","year":2023},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.280312Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:efd08e6f66f98c7bc44165f93d234377c4ed3ea9f59388f7a728ac713c55f768","observation_id":"c218159b-580e-4116-8308-d0476b6d2b0f","resolution":{"observed_at":"2026-08-06T22:55:50.479223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.468175Z","title":"IEEE Trans","venue":null,"work_id":"87d22901-f044-42bc-9642-53757d0b8b38","year":2023},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.282867Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:f4a76fdb3d8a0c859d2cd07607f8fcaf340559349334754406662b1f8d856642","observation_id":"46ab86c6-708f-4dc3-8719-852bd5b7ffe2","resolution":{"observed_at":"2026-08-06T22:55:50.471042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.459393Z","title":null,"venue":null,"work_id":"8574cdd5-2087-4cca-be83-1dc55ac905eb","year":2020},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.286033Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:10cfc57fba96c5dbcd4a70c50ad34a0a557f8667cff37ece5028dc0aedb97ac7","observation_id":"8bfe2ddc-2f2e-4f66-8ae4-0ec6d543b334","resolution":{"observed_at":"2026-08-06T22:55:50.463034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.450818Z","title":null,"venue":null,"work_id":"cd72c103-0d4d-4346-bc9f-d0ce9ae0d85b","year":1996},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.289728Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:7798cb4975d1660590880ea1c95fe748298799be813f5c87bacd876ec21c6db7","observation_id":"bb568537-6715-4ee3-8d24-6d3b3a53bd43","resolution":{"observed_at":"2026-08-06T22:55:50.453641Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.442444Z","title":null,"venue":null,"work_id":"274209c2-baa7-40b1-a20c-4e72f715c0d2","year":2022},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.293115Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:e9eb52483530c882d9d2b47f24f7521bb823d256f495f934b69df92218d38a76","observation_id":"ef03ee8d-d63f-4e9d-aa1f-4fc9a7c0b0ed","resolution":{"observed_at":"2026-08-06T22:55:50.445218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.434306Z","title":null,"venue":null,"work_id":"20426d96-cd37-4556-9084-09d2889d53bd","year":2019},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.296342Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:a30314fc6552f830d4ba78cbea78e40a70b9646aec6a61c780fba82933e3dcbc","observation_id":"37e0456b-e16e-44eb-88d3-b0658b665f5f","resolution":{"observed_at":"2026-08-06T22:55:50.437026Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.425450Z","title":"Thai, T: Probabilistic Graphical Model Explanations for Graph Neural Networks, Proceedings of Advances in Neural Information Processing Systems con- ference (2020)","venue":null,"work_id":"a67924ff-ef3b-4305-a21a-4efe2577b430","year":2020},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.299817Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:11bf88b39e93dcc5adaa3c374f16e44ee4f27ba683d5f25a7462e8460c0b1b82","observation_id":"b0f969f6-795c-4455-bd6a-7483b98dee3c","resolution":{"observed_at":"2026-08-06T22:55:50.428260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.417030Z","title":null,"venue":null,"work_id":"5daee3bb-c23f-4497-8aed-0666d345b95d","year":2021},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.302584Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:c2173e0cbded6ffbca1d972e2b28a64715c1664326e5a04bf1e17fad2d0682b3","observation_id":"9766db58-893b-41c9-9669-47c578d0d53d","resolution":{"observed_at":"2026-08-06T22:55:50.419784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.408745Z","title":null,"venue":null,"work_id":"c93ad73b-21bd-4fcd-ac4c-eb181c5b3357","year":1969},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.305820Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:6c7daa6da9882abcb58a1cff4b0f71707ba4d4fc7e6766237f800857d4288d40","observation_id":"b3e36e21-7648-4b98-9412-c4158ac9da1e","resolution":{"observed_at":"2026-08-06T22:55:50.411871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.399651Z","title":"SAGE-FIN: A semi-supervised GNN approach with Causal Explanations 23","venue":null,"work_id":"8d1a46db-2da8-4f7c-9bdd-a957cd3daf26","year":2021},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.309350Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:6e905a88fc70b39feb08ebcc98b8d6dc502682e7172e8e93aaf72bf8caa31e13","observation_id":"3cc3a762-f669-4ff3-a50b-61e563f6c569","resolution":{"observed_at":"2026-08-06T22:55:50.402415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.389166Z","title":null,"venue":null,"work_id":"01524c60-d118-4e62-be7a-e8ab87822995","year":2015},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.312625Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:a688a91dc316900382d27f9e8ffc98dc27f4f6cbe8946287368d70872ad3b4e6","observation_id":"f61e38e0-d675-4ad8-8a74-458b4fdc84a1","resolution":{"observed_at":"2026-08-06T22:55:50.392220Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.380033Z","title":"M., Lee, S.I.: A Unified Approach to Interpreting Model Predictions, Advances in Neural Information Processing Systems (NeurIPS), (page 4765–4774) (2017)","venue":null,"work_id":"d169e460-b49f-4abf-bee3-05797d369ec1","year":2017},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.315539Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:0dab5e8ceb11b8adcf9782968e128c88b60b4671d7c64d902dd3487fe5f2059d","observation_id":"a94e8747-ebe2-41f2-93da-d70623d5cc9f","resolution":{"observed_at":"2026-08-06T22:55:50.382822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.371351Z","title":"John Wiley and Sons (2016)","venue":null,"work_id":"bfa091f1-8d0c-42b8-ba66-3da502177952","year":2016},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.318159Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:3f9a4c4c24414c6f953df6edf068d188f1c065b957a7078434f8677a2003aed3","observation_id":"8f9524b5-87cf-4144-888c-065fc8799084","resolution":{"observed_at":"2026-08-06T22:55:50.374673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:55:50.359843Z","title":"Explainable Artificial Intelligence for crypto asset allocation, Finance Research Letters, Volume 47 (2022)","venue":null,"work_id":"aaf84002-b96e-43e8-9588-aaacd9eb475e","year":2022},"citing_paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:55:50.321313Z"},"links":{"citing_paper":"/paper/2507.01980"},"observation_digest":"sha256:39fa6c4cf0b4b8ddb00b1886f74720ab09020eb1e5496020c959faf12d0146d7","observation_id":"74ac2978-2e45-42a1-b78f-cddb21675286","resolution":{"observed_at":"2026-08-06T22:55:50.365532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01980","last_updated":"2025-06-25T12:04:40Z","latest_version":1,"primary_category":"q-fin.ST","snapshot_observed_at":"2026-08-15T01:12:42.243115Z","submitted_at":"2025-06-25T12:04:40Z","title":"Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":42},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.01980."}