{"as_of":"2026-08-22T23:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:79ebc2d7a036b555aa65231b578cbc897abb7a977e040700e93f8531cbb2cf94","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":"2026-08-22T06:32:14.747728+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":"2026-08-10T18:25:47.932886Z","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":"2026-08-06T11:47:46.769557Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.01462","last_updated":"2025-02-27T11:45:57Z","snapshot_observed_at":"2026-08-16T13:55:53.171295Z","submitted_at":"2024-05-02T16:50:47Z","title":"Uncertainty for Active Learning on Graphs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01462","snapshot_observed_at":"2026-08-10T18:25:47.932886Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11360","last_updated":"2025-01-20T09:44:07Z","snapshot_observed_at":"2026-08-14T12:22:55.799025Z","submitted_at":"2025-01-20T09:44:07Z","title":"Federated Learning with Sample-level Client Drift Mitigation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T18:25:47.932886Z"},"links":{"cited_paper":"/paper/2405.01462","citing_paper":"/paper/2501.11360"},"observation_digest":"sha256:652607726225727160439651ebdd2b5cb25021d21eccdd0c840f2c20869a0dab","observation_id":"cddb0d04-b4e5-4517-bbc8-eb1a6e4bbcfe","resolution":{"observed_at":"2026-08-10T18:25:47.932886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01462","last_updated":"2025-02-27T11:45:57Z","snapshot_observed_at":"2026-08-16T13:55:53.171295Z","submitted_at":"2024-05-02T16:50:47Z","title":"Uncertainty for Active Learning on Graphs","version":3},"cited_work":{"arxiv_id":"2405.01462","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.01462","snapshot_observed_at":"2026-08-06T11:47:46.769557Z","title":"Uncertainty for Active Learning on Graphs","venue":"cs.LG","work_id":"1f622487-4d37-465c-a6e7-9293aee15536","year":2024},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-14T20:27:28.393281Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.090292Z"},"links":{"cited_paper":"/paper/2405.01462","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:d02b8a4e6e792a64a494932156b3a540b16e7ba81b971382cda1c9f549e599c2","observation_id":"8cf60c27-15e1-4e79-b727-0796bb0eacb2","resolution":{"observed_at":"2026-08-06T11:47:46.803420Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.01462/citation-record","integrity":"/paper/2405.01462/integrity","json":"/paper/2405.01462/citation-record.json","paper":"/paper/2405.01462"},"outbound":[],"paper":{"arxiv_id":"2405.01462","last_updated":"2025-02-27T11:45:57Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:55:53.171295Z","submitted_at":"2024-05-02T16:50:47Z","title":"Uncertainty for Active Learning on Graphs"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.01462."}