{"as_of":"2026-08-20T14:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1605ca5123f4519b375ae72e070b58a819a5d446fe6066c34f92fe1a900428e4","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":"2026-08-20T06:33:59.587034+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":"2026-08-16T05:47:38.465117Z","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":"2026-05-17T01:28:48.903576Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.04225","last_updated":"2023-06-20T11:53:04Z","snapshot_observed_at":"2026-08-17T15:43:19.112567Z","submitted_at":"2023-05-07T09:06:11Z","title":"LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04225","snapshot_observed_at":"2026-08-16T05:47:38.465117Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.19820","last_updated":"2025-05-05T07:47:54Z","snapshot_observed_at":"2026-08-18T19:33:34.896765Z","submitted_at":"2025-04-28T14:22:18Z","title":"Hierarchical Uncertainty-Aware Graph Neural Network","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.465117Z"},"links":{"cited_paper":"/paper/2305.04225","citing_paper":"/paper/2504.19820"},"observation_digest":"sha256:8e5f5823de7caf2308972cac389e302b0393e2ba3350a5bdde1ec3dc65a9e2c6","observation_id":"14383539-f049-4d53-9a92-5527a4215f66","resolution":{"observed_at":"2026-08-16T05:47:38.465117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04225","last_updated":"2023-06-20T11:53:04Z","snapshot_observed_at":"2026-08-17T15:43:19.112567Z","submitted_at":"2023-05-07T09:06:11Z","title":"LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04225","snapshot_observed_at":"2026-08-15T22:03:01.689564Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08320","last_updated":"2025-08-01T07:21:04Z","snapshot_observed_at":"2026-08-18T19:35:23.555766Z","submitted_at":"2025-05-13T08:00:16Z","title":"Adaptive Branch Specialization in Spectral-Spatial Graph Neural Networks for Certified Robustness","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T22:03:01.689564Z"},"links":{"cited_paper":"/paper/2305.04225","citing_paper":"/paper/2505.08320"},"observation_digest":"sha256:2ddca6525bbd4fffc8ccc5d18929e20636d720053ea27f08bf7c95207d057e9b","observation_id":"712ae332-5ec4-4670-82a3-87548605821c","resolution":{"observed_at":"2026-08-15T22:03:01.689564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04225","last_updated":"2023-06-20T11:53:04Z","snapshot_observed_at":"2026-08-17T15:43:19.112567Z","submitted_at":"2023-05-07T09:06:11Z","title":"LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity","version":2},"cited_work":{"arxiv_id":"2305.04225","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.04225","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a8e319a3-4512-4cdf-986e-2ee2d87fd700","year":2023},"citing_paper":{"arxiv_id":"2512.06356","last_updated":"2026-04-04T05:05:01Z","snapshot_observed_at":"2026-08-16T00:58:55.614176Z","submitted_at":"2025-12-06T09:06:08Z","title":"Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-17T01:26:54.815725Z"},"links":{"cited_paper":"/paper/2305.04225","citing_paper":"/paper/2512.06356"},"observation_digest":"sha256:6c3533c18c959d2709bddc202e79200fd2cb61af784cdf5a0982fa7bc9361afb","observation_id":"174339c0-2ac9-4753-9d13-03150e0a3edc","resolution":{"observed_at":"2026-05-17T01:28:48.907533Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.04225/citation-record","integrity":"/paper/2305.04225/integrity","json":"/paper/2305.04225/citation-record.json","paper":"/paper/2305.04225"},"outbound":[],"paper":{"arxiv_id":"2305.04225","last_updated":"2023-06-20T11:53:04Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T15:43:19.112567Z","submitted_at":"2023-05-07T09:06:11Z","title":"LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.04225."}