{"as_of":"2026-08-10T14:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2bb093e85d1fd44381a7eab648a30f453a517226673dbe332904829719cefdb","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T04:16:22.349802Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T12:02:51.300357Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-08-09T04:16:22.349802Z","title":"A review on graph neural network methods in financial applications","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.03703","last_updated":"2025-02-06T01:25:22Z","snapshot_observed_at":"2026-08-09T04:01:02.060243Z","submitted_at":"2025-02-06T01:25:22Z","title":"On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-09T04:16:22.349802Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2502.03703"},"observation_digest":"sha256:0f5fa720cb05f27ec1477a35754647ebe605cfed5c7cb7bf4af02958c8522d52","observation_id":"46fdecb8-ed97-49a6-90c8-d8e41741809d","resolution":{"observed_at":"2026-08-09T04:16:22.349802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-08-08T05:29:38.304935Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08353","last_updated":"2025-02-12T12:28:39Z","snapshot_observed_at":"2026-08-09T23:05:34.814761Z","submitted_at":"2025-02-12T12:28:39Z","title":"Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T05:29:38.304935Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2502.08353"},"observation_digest":"sha256:8b538d3eb9698c9b04c9e91e942801bb0ea6aa2f40aa4153afa729c065674eea","observation_id":"b327eeab-00f0-4702-8a95-2297eca0a0c6","resolution":{"observed_at":"2026-08-08T05:29:38.304935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-08-07T12:16:50.717577Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.00191","last_updated":"2025-05-30T20:02:43Z","snapshot_observed_at":"2026-08-08T14:02:51.142502Z","submitted_at":"2025-05-30T20:02:43Z","title":"Heterogeneous Graph Backdoor Attack","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:16:50.717577Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2506.00191"},"observation_digest":"sha256:f6861d01dac5ef8bfffc7b2763a6221dc68a6069d6585ea61766c2747af1ae88","observation_id":"adb25069-3f96-439a-bd2c-5aa1cd6fef68","resolution":{"observed_at":"2026-08-07T12:16:50.717577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-08-07T05:42:42.217932Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07288","last_updated":"2025-08-01T08:06:28Z","snapshot_observed_at":"2026-08-09T07:13:13.202905Z","submitted_at":"2025-06-08T21:21:12Z","title":"EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:42:42.217932Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2506.07288"},"observation_digest":"sha256:7115e4b3edc0c6c722fbd42ceb0183312157acf59fac1b58683f619e83bea27b","observation_id":"aa900d05-eb26-44ac-8fc6-3d8469ac15c7","resolution":{"observed_at":"2026-08-07T05:42:42.217932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":"2111.15367","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A review on graph neural network methods in financial applications","venue":null,"work_id":"66747210-d496-4614-ab7c-e77f346391b0","year":2021},"citing_paper":{"arxiv_id":"2601.15474","last_updated":"2026-04-08T16:01:56Z","snapshot_observed_at":"2026-07-06T22:42:36.961014Z","submitted_at":"2026-01-21T21:23:51Z","title":"BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T12:00:57.663884Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2601.15474"},"observation_digest":"sha256:fafc76eb4e0119b5dcc68e31be1ca6ba2a3c29e16545d81f5ea4de4de63f8339","observation_id":"73caacbf-5227-42df-9344-b65b2d0ad9c6","resolution":{"observed_at":"2026-05-16T12:02:51.303245Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":"2111.15367","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A review on graph neural network methods in financial applications","venue":null,"work_id":"66747210-d496-4614-ab7c-e77f346391b0","year":2021},"citing_paper":{"arxiv_id":"2604.10212","last_updated":"2026-04-11T13:43:56Z","snapshot_observed_at":"2026-07-06T22:58:51.931478Z","submitted_at":"2026-04-11T13:43:56Z","title":"Relational Probing: LM-to-Graph Adaptation for Financial Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T15:43:59.697979Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2604.10212"},"observation_digest":"sha256:43a238d7347b4c75c12e884561262ca3e3e80df0292bc008f331d44701dc6994","observation_id":"0c63a664-f437-4687-ac32-556fc2082c36","resolution":{"observed_at":"2026-05-11T09:56:04.509192Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-08-01T05:17:55.544967Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22287","last_updated":"2026-07-24T13:25:26Z","snapshot_observed_at":"2026-08-03T10:51:28.933826Z","submitted_at":"2026-07-24T13:25:26Z","title":"Efficient Recommendations via Graph Coarsening and Label Propagation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T05:17:55.544967Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2607.22287"},"observation_digest":"sha256:aa3a7ae7d07ab64cb619960843b8c93355f1e3275dc9b49608c3a0148c361dd8","observation_id":"9bced58b-6477-45ed-be48-d2b523376559","resolution":{"observed_at":"2026-08-01T05:17:55.544967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15367","snapshot_observed_at":"2026-07-30T23:40:06.770996Z","title":"Temporal-aware graph neural network for credit risk prediction","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26699","last_updated":"2026-07-29T09:46:07Z","snapshot_observed_at":"2026-08-07T17:20:22.308070Z","submitted_at":"2026-07-29T09:46:07Z","title":"Universality and Approximation Rates of Graph Neural Networks with Random Features","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-07-30T23:40:06.770996Z"},"links":{"cited_paper":"/paper/2111.15367","citing_paper":"/paper/2607.26699"},"observation_digest":"sha256:89417198d021aef3a2771e67d2c9d02bf1a023737aaa5585c2c5e75022b32027","observation_id":"fd9dc4e1-0ba7-4473-8924-c1cc0795200d","resolution":{"observed_at":"2026-07-30T23:40:06.770996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2111.15367/citation-record","integrity":"/paper/2111.15367/integrity","json":"/paper/2111.15367/citation-record.json","paper":"/paper/2111.15367"},"outbound":[],"paper":{"arxiv_id":"2111.15367","last_updated":"2022-04-26T17:59:28Z","latest_version":2,"primary_category":"q-fin.ST","snapshot_observed_at":"2026-08-10T04:58:22.567603Z","submitted_at":"2021-11-27T02:52:10Z","title":"A Review on Graph Neural Network Methods in Financial Applications"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2111.15367."}