{"as_of":"2026-08-19T10:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b51b351e25394ebe2ac5dfff49506f25c96797996ca8509e48da19d3e29923b","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T12:22:16.145679Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T00:22:24.834031Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.01288","last_updated":"2024-05-02T18:45:41Z","snapshot_observed_at":"2026-08-18T09:04:09.442873Z","submitted_at":"2022-01-04T18:31:31Z","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.01288","snapshot_observed_at":"2026-08-12T12:22:16.145679Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17339","last_updated":"2024-11-26T11:32:45Z","snapshot_observed_at":"2026-08-18T08:51:45.481183Z","submitted_at":"2024-11-26T11:32:45Z","title":"Knowledge-aware Evolutionary Graph Neural Architecture Search","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T12:22:16.145679Z"},"links":{"cited_paper":"/paper/2201.01288","citing_paper":"/paper/2411.17339"},"observation_digest":"sha256:097c81bcb02e15e0c7c502a048e1abe7485795b5f6f0811a91a342e21bebe153","observation_id":"465f421a-edfc-4ad3-822b-98e8aa4bcab7","resolution":{"observed_at":"2026-08-12T12:22:16.145679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.01288","last_updated":"2024-05-02T18:45:41Z","snapshot_observed_at":"2026-08-18T09:04:09.442873Z","submitted_at":"2022-01-04T18:31:31Z","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.01288","snapshot_observed_at":"2026-08-11T23:48:48.651192Z","title":"Automated graph machine learning: Approaches, libraries, benchmarks and directions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02196","last_updated":"2024-12-03T06:21:35Z","snapshot_observed_at":"2026-08-18T09:02:53.192345Z","submitted_at":"2024-12-03T06:21:35Z","title":"SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T23:48:48.651192Z"},"links":{"cited_paper":"/paper/2201.01288","citing_paper":"/paper/2412.02196"},"observation_digest":"sha256:ba45dd30f4fa7a13653a46983a5cbfefe257b901466ab2786a87a088879c98d2","observation_id":"bf4fd45e-615d-41bc-80b9-3237c77a5571","resolution":{"observed_at":"2026-08-11T23:48:48.651192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.01288","last_updated":"2024-05-02T18:45:41Z","snapshot_observed_at":"2026-08-18T09:04:09.442873Z","submitted_at":"2022-01-04T18:31:31Z","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions","version":2},"cited_work":{"arxiv_id":"2201.01288","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.01288","snapshot_observed_at":"2026-08-07T00:22:24.834031Z","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions","venue":"cs.LG","work_id":"9c32094f-81db-4185-9023-c647d1939370","year":2022},"citing_paper":{"arxiv_id":"2506.14529","last_updated":"2025-06-17T13:53:48Z","snapshot_observed_at":"2026-08-18T09:03:03.538428Z","submitted_at":"2025-06-17T13:53:48Z","title":"Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:23.476852Z"},"links":{"cited_paper":"/paper/2201.01288","citing_paper":"/paper/2506.14529"},"observation_digest":"sha256:7cebb4271fd92255a13166a5f8700318f29785d95d2118bdf2f3aa28d225c227","observation_id":"0d86167c-b620-4126-ab64-1911a0b8e39a","resolution":{"observed_at":"2026-08-07T00:22:24.974155Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2201.01288/citation-record","integrity":"/paper/2201.01288/integrity","json":"/paper/2201.01288/citation-record.json","paper":"/paper/2201.01288"},"outbound":[],"paper":{"arxiv_id":"2201.01288","last_updated":"2024-05-02T18:45:41Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T09:04:09.442873Z","submitted_at":"2022-01-04T18:31:31Z","title":"Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.01288."}