{"as_of":"2026-08-19T01:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:291c0527f7ea0bcd618eee02432d56eac1d7ecd29a5ad887f900452bf8f7cb1e","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":"2026-08-18T06:34:40.430872+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":"2026-08-10T22:40:48.716145Z","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":"2026-08-10T22:40:49.250282Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.06189","last_updated":"2021-06-14T09:51:52Z","snapshot_observed_at":"2026-08-16T18:17:53.666351Z","submitted_at":"2021-06-11T06:37:52Z","title":"Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation","version":2},"cited_work":{"arxiv_id":"2106.06189","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.06189","snapshot_observed_at":"2026-08-10T22:40:49.250282Z","title":"Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation","venue":"stat.ML","work_id":"2eb1b98e-8172-4bb6-8bfb-caa68d29d231","year":2021},"citing_paper":{"arxiv_id":"2501.01073","last_updated":"2025-06-03T16:53:33Z","snapshot_observed_at":"2026-08-15T15:11:09.002273Z","submitted_at":"2025-01-02T05:44:11Z","title":"Graph Generative Pre-trained Transformer","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:40:48.716145Z"},"links":{"cited_paper":"/paper/2106.06189","citing_paper":"/paper/2501.01073"},"observation_digest":"sha256:c7d14bc66c4eeca13a416922730fb7bd531b53deff6918c8d5898ae423423e36","observation_id":"fb8377de-b8f5-4c12-a075-71f074135b4d","resolution":{"observed_at":"2026-08-10T22:40:49.254845Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.06189/citation-record","integrity":"/paper/2106.06189/integrity","json":"/paper/2106.06189/citation-record.json","paper":"/paper/2106.06189"},"outbound":[],"paper":{"arxiv_id":"2106.06189","last_updated":"2021-06-14T09:51:52Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-16T18:17:53.666351Z","submitted_at":"2021-06-11T06:37:52Z","title":"Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.06189."}