{"as_of":"2026-08-22T01:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03333a2fe93d97c630e870719d5b7ea3a080f12a0de4c23505e132388c2d3291","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:30:45.401531Z","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":"2026-05-19T10:42:15.262103Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.09871","last_updated":"2022-04-27T20:57:14Z","snapshot_observed_at":"2026-08-16T17:26:18.940323Z","submitted_at":"2022-01-24T18:49:27Z","title":"On Evaluation Metrics for Graph Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.09871","snapshot_observed_at":"2026-08-07T23:30:45.401531Z","title":"arXiv preprint arXiv:2201.09871 (2022) 6, 11","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08856","last_updated":"2025-02-13T00:14:55Z","snapshot_observed_at":"2026-08-21T04:57:44.243209Z","submitted_at":"2025-02-13T00:14:55Z","title":"A Systematic Evaluation of Generative Models on Tabular Transportation Data","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T23:30:45.401531Z"},"links":{"cited_paper":"/paper/2201.09871","citing_paper":"/paper/2502.08856"},"observation_digest":"sha256:2fc32c18b0ff7b53a42be791db43581d729fbf430df9b036492f133ec2f7186e","observation_id":"0fe1385a-d183-4afc-adac-8d57dd91f233","resolution":{"observed_at":"2026-08-07T23:30:45.401531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.09871","last_updated":"2022-04-27T20:57:14Z","snapshot_observed_at":"2026-08-16T17:26:18.940323Z","submitted_at":"2022-01-24T18:49:27Z","title":"On Evaluation Metrics for Graph Generative Models","version":2},"cited_work":{"arxiv_id":"2201.09871","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.09871","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Thompson, B","venue":null,"work_id":"ab1986fb-4b2c-46ba-8c2a-f88984a4ce6a","year":2022},"citing_paper":{"arxiv_id":"2506.06226","last_updated":"2026-04-20T11:25:09Z","snapshot_observed_at":"2026-08-13T10:15:21.867322Z","submitted_at":"2025-06-06T16:41:17Z","title":"No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-19T10:38:03.311357Z"},"links":{"cited_paper":"/paper/2201.09871","citing_paper":"/paper/2506.06226"},"observation_digest":"sha256:6403e82eaac359c3535d6b872b1ee6290af71c49046f506aeb7e8f0d72238ceb","observation_id":"21cd327f-387b-4f12-b0fa-a7b42a5bb746","resolution":{"observed_at":"2026-05-19T10:42:15.263619Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.09871","last_updated":"2022-04-27T20:57:14Z","snapshot_observed_at":"2026-08-16T17:26:18.940323Z","submitted_at":"2022-01-24T18:49:27Z","title":"On Evaluation Metrics for Graph Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.09871","snapshot_observed_at":"2026-08-06T16:36:22.820186Z","title":"& Taylor, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.13133","last_updated":"2025-07-17T13:54:42Z","snapshot_observed_at":"2026-08-17T04:17:28.450747Z","submitted_at":"2025-07-17T13:54:42Z","title":"NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:36:22.820186Z"},"links":{"cited_paper":"/paper/2201.09871","citing_paper":"/paper/2507.13133"},"observation_digest":"sha256:6059aad74fe406e5173990e2d969e7c86861939d8c4bb156a7409e62ef6f6106","observation_id":"c3795dbc-b457-4696-baa7-fc25d571d8ab","resolution":{"observed_at":"2026-08-06T16:36:22.820186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.09871","last_updated":"2022-04-27T20:57:14Z","snapshot_observed_at":"2026-08-16T17:26:18.940323Z","submitted_at":"2022-01-24T18:49:27Z","title":"On Evaluation Metrics for Graph Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.09871","snapshot_observed_at":"2026-08-05T18:43:46.695271Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14352","last_updated":"2025-08-20T01:47:46Z","snapshot_observed_at":"2026-08-15T19:30:02.922687Z","submitted_at":"2025-08-20T01:47:46Z","title":"SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T18:43:46.695271Z"},"links":{"cited_paper":"/paper/2201.09871","citing_paper":"/paper/2508.14352"},"observation_digest":"sha256:25e0ae36978c0976f28b9d5346891fec3d77daf41cac2bca1bc1777a4f3ba3ab","observation_id":"e41b1110-7d3f-4694-88c9-a76f22234ff1","resolution":{"observed_at":"2026-08-05T18:43:46.695271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.09871","last_updated":"2022-04-27T20:57:14Z","snapshot_observed_at":"2026-08-16T17:26:18.940323Z","submitted_at":"2022-01-24T18:49:27Z","title":"On Evaluation Metrics for Graph Generative Models","version":2},"cited_work":{"arxiv_id":"2201.09871","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.09871","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Thompson, B","venue":null,"work_id":"ab1986fb-4b2c-46ba-8c2a-f88984a4ce6a","year":2022},"citing_paper":{"arxiv_id":"2604.24811","last_updated":"2026-04-27T09:07:15Z","snapshot_observed_at":"2026-08-15T22:17:48.867767Z","submitted_at":"2026-04-27T09:07:15Z","title":"Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T04:36:49.335817Z"},"links":{"cited_paper":"/paper/2201.09871","citing_paper":"/paper/2604.24811"},"observation_digest":"sha256:250b70e5adae2ea0156197100893897b723cf6acf86f8db14672c1ca02129996","observation_id":"2806ede9-4928-4fb4-8ee8-49d4b3f6dc27","resolution":{"observed_at":"2026-05-11T21:41:15.776653Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2201.09871/citation-record","integrity":"/paper/2201.09871/integrity","json":"/paper/2201.09871/citation-record.json","paper":"/paper/2201.09871"},"outbound":[],"paper":{"arxiv_id":"2201.09871","last_updated":"2022-04-27T20:57:14Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:26:18.940323Z","submitted_at":"2022-01-24T18:49:27Z","title":"On Evaluation Metrics for Graph Generative Models"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.09871."}