{"as_of":"2026-08-09T20:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1dcd190b875a21a354f2e83fd8f894119e673fefa31bc108b1b10b01a6bc10e8","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:35:26.453342Z","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":"2026-05-13T07:42:30.418495Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.11755","last_updated":"2024-01-22T08:31:53Z","snapshot_observed_at":"2026-07-31T19:11:07.102844Z","submitted_at":"2024-01-22T08:31:53Z","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11755","snapshot_observed_at":"2026-08-06T20:35:26.453342Z","title":"Fedgta: Topology-aware averaging for federated graph learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02409","last_updated":"2025-08-18T08:00:31Z","snapshot_observed_at":"2026-08-09T07:13:35.712534Z","submitted_at":"2025-07-03T08:04:49Z","title":"S2FGL: Spatial Spectral Federated Graph Learning","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T20:35:26.453342Z"},"links":{"cited_paper":"/paper/2401.11755","citing_paper":"/paper/2507.02409"},"observation_digest":"sha256:c08412906651ae0c321626241ebd332c21729790ffc87b6cc76b37fbeb28d304","observation_id":"f36ee99a-a506-457c-b26b-49f8fa1e893d","resolution":{"observed_at":"2026-08-06T20:35:26.453342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11755","last_updated":"2024-01-22T08:31:53Z","snapshot_observed_at":"2026-07-31T19:11:07.102844Z","submitted_at":"2024-01-22T08:31:53Z","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11755","snapshot_observed_at":"2026-08-06T15:11:12.565082Z","title":"Fedgta: Topology-aware averaging for federated graph learning,","venue":null,"work_id":null,"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":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:11:12.565082Z"},"links":{"cited_paper":"/paper/2401.11755","citing_paper":"/paper/2507.16541"},"observation_digest":"sha256:60bd6115bd67306b6e8717007a458d4fe4ae0fe30e1f9896817aa8a67c0d6d20","observation_id":"3e049b18-aefa-433a-b676-f04a11af8877","resolution":{"observed_at":"2026-08-06T15:11:12.565082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11755","last_updated":"2024-01-22T08:31:53Z","snapshot_observed_at":"2026-07-31T19:11:07.102844Z","submitted_at":"2024-01-22T08:31:53Z","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning","version":1},"cited_work":{"arxiv_id":"2401.11755","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.11755","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fedgta: Topology-aware averaging for federated graph learning","venue":null,"work_id":"96232639-fc27-4a79-a59f-6bfc4bccf9d9","year":2024},"citing_paper":{"arxiv_id":"2605.11919","last_updated":"2026-05-12T10:35:43Z","snapshot_observed_at":"2026-07-06T23:23:39.723268Z","submitted_at":"2026-05-12T10:35:43Z","title":"STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T07:41:51.513934Z"},"links":{"cited_paper":"/paper/2401.11755","citing_paper":"/paper/2605.11919"},"observation_digest":"sha256:54354790bc6d064fc2dbd5113c19478a43ee2510cac0693f087829899ebc3e78","observation_id":"5a3b0c2a-e0c2-4f74-a1b6-883e8d0cd01d","resolution":{"observed_at":"2026-05-13T07:42:30.421976Z","resolver_source":"arxiv_id","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":"2401.11755","last_updated":"2024-01-22T08:31:53Z","snapshot_observed_at":"2026-07-31T19:11:07.102844Z","submitted_at":"2024-01-22T08:31:53Z","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11755","snapshot_observed_at":"2026-08-01T03:46:16.004558Z","title":"arXiv preprint arXiv:2401.11755 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27665","last_updated":"2026-07-30T04:24:41Z","snapshot_observed_at":"2026-08-08T07:35:16.898400Z","submitted_at":"2026-07-30T04:24:41Z","title":"FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T03:46:16.004558Z"},"links":{"cited_paper":"/paper/2401.11755","citing_paper":"/paper/2607.27665"},"observation_digest":"sha256:b453ebab645f7fd0ade2419bac0e4eeccfe29a24e8fb2467d1aa7a8e70d5c0bd","observation_id":"0286d7f1-9a0e-4561-8b5f-70fde56cea40","resolution":{"observed_at":"2026-08-01T03:46:16.004558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.11755/citation-record","integrity":"/paper/2401.11755/integrity","json":"/paper/2401.11755/citation-record.json","paper":"/paper/2401.11755"},"outbound":[],"paper":{"arxiv_id":"2401.11755","last_updated":"2024-01-22T08:31:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-31T19:11:07.102844Z","submitted_at":"2024-01-22T08:31:53Z","title":"FedGTA: Topology-aware Averaging for Federated Graph Learning"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.11755."}