{"as_of":"2026-08-10T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9929b0b51e801cccb79848fc8262f5c435da8cc198c37a398b744816335192b","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:11:12.516042Z","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":"2026-08-06T15:11:18.390910Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.11750","last_updated":"2024-01-22T08:23:31Z","snapshot_observed_at":"2026-07-06T17:18:36.196373Z","submitted_at":"2024-01-22T08:23:31Z","title":"AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity","version":1},"cited_work":{"arxiv_id":"2401.11750","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.11750","snapshot_observed_at":"2026-08-06T15:11:18.390910Z","title":"AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity","venue":"cs.LG","work_id":"9b7b23e4-1206-42d0-bd3a-24b440571468","year":2024},"citing_paper":{"arxiv_id":"2507.16541","last_updated":"2025-07-22T12:49:24Z","snapshot_observed_at":"2026-08-07T22:03:21.200055Z","submitted_at":"2025-07-22T12:49:24Z","title":"A Comprehensive Data-centric Overview of Federated Graph Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:11:12.516042Z"},"links":{"cited_paper":"/paper/2401.11750","citing_paper":"/paper/2507.16541"},"observation_digest":"sha256:e08703d27318a0e6920c46ae3f20633ade24f792b88d5792730870943e9e2c89","observation_id":"623eb9c2-09fe-4beb-9443-a58c327f595c","resolution":{"observed_at":"2026-08-06T15:11:18.396568Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11750","last_updated":"2024-01-22T08:23:31Z","snapshot_observed_at":"2026-07-06T17:18:36.196373Z","submitted_at":"2024-01-22T08:23:31Z","title":"AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11750","snapshot_observed_at":"2026-08-04T06:16:57.588340Z","title":"Li, X., Wu, Z., Zhang, W., Sun, H., Li, R.-H., and Wang, G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.21369","last_updated":"2026-08-01T12:38:31Z","snapshot_observed_at":"2026-08-09T10:10:55.107127Z","submitted_at":"2026-01-29T07:50:00Z","title":"Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T06:16:57.588340Z"},"links":{"cited_paper":"/paper/2401.11750","citing_paper":"/paper/2601.21369"},"observation_digest":"sha256:3aa7fb1ca5532cceb641fd8b297b3fc60c9475653f2986e03288eecbee431e61","observation_id":"3758ee9b-e7dc-4370-a262-b337c43bfdd1","resolution":{"observed_at":"2026-08-04T06:16:57.588340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.11750/citation-record","integrity":"/paper/2401.11750/integrity","json":"/paper/2401.11750/citation-record.json","paper":"/paper/2401.11750"},"outbound":[],"paper":{"arxiv_id":"2401.11750","last_updated":"2024-01-22T08:23:31Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:18:36.196373Z","submitted_at":"2024-01-22T08:23:31Z","title":"AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11750."}