{"as_of":"2026-08-15T19:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8ccaad1b5799e0b5c9df47067617b8f45c5d7483871c946378a5af1130c3795","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":"2026-08-10T19:27:40.322484Z","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":"2026-08-10T19:27:40.564659Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.01214","last_updated":"2023-02-14T03:17:59Z","snapshot_observed_at":"2026-08-13T13:50:45.623619Z","submitted_at":"2022-11-02T15:55:46Z","title":"Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning","version":5},"cited_work":{"arxiv_id":"2211.01214","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.01214","snapshot_observed_at":"2026-08-10T19:27:40.564659Z","title":"Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning","venue":"cs.LG","work_id":"cf6354e4-15b4-470b-9996-d48211c5f48b","year":2022},"citing_paper":{"arxiv_id":"2501.10010","last_updated":"2025-01-17T07:48:18Z","snapshot_observed_at":"2026-08-10T23:03:20.373506Z","submitted_at":"2025-01-17T07:48:18Z","title":"Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T19:27:40.322484Z"},"links":{"cited_paper":"/paper/2211.01214","citing_paper":"/paper/2501.10010"},"observation_digest":"sha256:aa1d22825cb9c1183504d1eca94a926e68180dc16247ceef597bb9e94afc82e6","observation_id":"eceb69fd-57ad-4052-a431-97965a278861","resolution":{"observed_at":"2026-08-10T19:27:40.577320Z","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/2211.01214/citation-record","integrity":"/paper/2211.01214/integrity","json":"/paper/2211.01214/citation-record.json","paper":"/paper/2211.01214"},"outbound":[],"paper":{"arxiv_id":"2211.01214","last_updated":"2023-02-14T03:17:59Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T13:50:45.623619Z","submitted_at":"2022-11-02T15:55:46Z","title":"Time-aware Random Walk Diffusion to Improve Dynamic 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":"2026-08-15T06:32:42.880941+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:2211.01214."}