{"as_of":"2026-08-15T23:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7912703c033885bd1a30a3f4495bced63c5fb16e92d9e4be0b88d3f9059ced8","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:19:20.157863Z","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":"2026-08-07T14:19:21.597103Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.09426","last_updated":"2022-12-20T15:10:10Z","snapshot_observed_at":"2026-08-13T18:08:38.919725Z","submitted_at":"2021-09-20T11:09:10Z","title":"A Meta-Learning Approach for Training Explainable Graph Neural Networks","version":2},"cited_work":{"arxiv_id":"2109.09426","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.09426","snapshot_observed_at":"2026-08-07T14:19:21.597103Z","title":"A Meta-Learning Approach for Training Explainable Graph Neural Networks","venue":"cs.LG","work_id":"e7eabdaf-fab7-4d2e-9673-08fb6cd7d65a","year":2021},"citing_paper":{"arxiv_id":"2505.19445","last_updated":"2025-05-26T03:07:58Z","snapshot_observed_at":"2026-08-09T16:27:06.219132Z","submitted_at":"2025-05-26T03:07:58Z","title":"MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T14:19:20.157863Z"},"links":{"cited_paper":"/paper/2109.09426","citing_paper":"/paper/2505.19445"},"observation_digest":"sha256:0ee94c326d2e4d36ea649ab46b8dcfd2f24e3cd30db7e9b8afdaf0d98844756c","observation_id":"ae940ee5-793d-49ea-b1db-a75bb0118664","resolution":{"observed_at":"2026-08-07T14:19:21.699792Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2109.09426/citation-record","integrity":"/paper/2109.09426/integrity","json":"/paper/2109.09426/citation-record.json","paper":"/paper/2109.09426"},"outbound":[],"paper":{"arxiv_id":"2109.09426","last_updated":"2022-12-20T15:10:10Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T18:08:38.919725Z","submitted_at":"2021-09-20T11:09:10Z","title":"A Meta-Learning Approach for Training Explainable Graph Neural Networks"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2109.09426."}