{"as_of":"2026-08-15T10:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:531d98c4d3476174e24d5b92bc809b19138bcb34090ecc7f655bdc67323d3e65","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":"2026-08-10T17:52:48.248408Z","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":"2026-08-10T17:52:48.801516Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.05729","last_updated":"2023-04-12T09:39:17Z","snapshot_observed_at":"2026-08-13T12:04:24.756520Z","submitted_at":"2023-04-12T09:39:17Z","title":"Dynamic Graph Representation Learning with Neural Networks: A Survey","version":1},"cited_work":{"arxiv_id":"2304.05729","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.05729","snapshot_observed_at":"2026-08-10T17:52:48.801516Z","title":"Dynamic Graph Representation Learning with Neural Networks: A Survey","venue":"cs.LG","work_id":"e5bd2fa9-403e-4a03-8547-87ccad69a097","year":2023},"citing_paper":{"arxiv_id":"2501.11880","last_updated":"2025-01-21T04:16:46Z","snapshot_observed_at":"2026-08-15T07:53:29.885352Z","submitted_at":"2025-01-21T04:16:46Z","title":"Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T17:52:48.248408Z"},"links":{"cited_paper":"/paper/2304.05729","citing_paper":"/paper/2501.11880"},"observation_digest":"sha256:4e5e89cf050fd9cfe208355ec50c3393e7c8cf8db2c4621f00075c2cae050fa6","observation_id":"f4b02c13-332e-4ffd-a9e7-be29c45670cc","resolution":{"observed_at":"2026-08-10T17:52:48.806829Z","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/2304.05729/citation-record","integrity":"/paper/2304.05729/integrity","json":"/paper/2304.05729/citation-record.json","paper":"/paper/2304.05729"},"outbound":[],"paper":{"arxiv_id":"2304.05729","last_updated":"2023-04-12T09:39:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T12:04:24.756520Z","submitted_at":"2023-04-12T09:39:17Z","title":"Dynamic Graph Representation Learning with Neural Networks: A Survey"},"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:2304.05729."}