{"as_of":"2026-08-23T10:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed93db6956f94de39695fb9e1522ff8941ea4867d00e066e11c2230663d0fa2b","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":"2026-08-23T06:30:58.430688+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":"2026-08-05T12:43:08.592390Z","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":"2026-08-05T12:43:08.633446Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.06970","last_updated":"2024-06-03T10:50:08Z","snapshot_observed_at":"2026-08-16T14:53:18.361380Z","submitted_at":"2023-10-10T19:47:58Z","title":"Flood and Echo Net: Algorithmically Aligned GNNs that Generalize","version":3},"cited_work":{"arxiv_id":"2310.06970","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.06970","snapshot_observed_at":"2026-08-05T12:43:08.633446Z","title":"Flood and Echo Net: Algorithmically Aligned GNNs that Generalize","venue":"cs.LG","work_id":"42be0801-102b-4040-a0b7-13e08d7c8420","year":2023},"citing_paper":{"arxiv_id":"2509.01381","last_updated":"2025-09-01T11:27:53Z","snapshot_observed_at":"2026-08-05T12:43:08.260727Z","submitted_at":"2025-09-01T11:27:53Z","title":"Learn to Jump: Adaptive Random Walks for Long-Range Propagation through Graph Hierarchies","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T12:43:08.592390Z"},"links":{"cited_paper":"/paper/2310.06970","citing_paper":"/paper/2509.01381"},"observation_digest":"sha256:db8ec0af24df50c0cb29d87bd00595436fba97386a4202f2e1649dedbb244aec","observation_id":"4eb26b38-a72b-4928-aff9-980043235bb9","resolution":{"observed_at":"2026-08-05T12:43:08.638787Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.06970/citation-record","integrity":"/paper/2310.06970/integrity","json":"/paper/2310.06970/citation-record.json","paper":"/paper/2310.06970"},"outbound":[],"paper":{"arxiv_id":"2310.06970","last_updated":"2024-06-03T10:50:08Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:53:18.361380Z","submitted_at":"2023-10-10T19:47:58Z","title":"Flood and Echo Net: Algorithmically Aligned GNNs that Generalize"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2310.06970."}