{"as_of":"2026-08-23T00:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d59a84cbf1cc81ce70454cd4d155dc93f2675feff7db981e7f7dd2b367e9dea","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":"2026-08-22T06:32:14.747728+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":"2026-08-16T10:41:09.660452Z","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":"2026-08-16T10:41:10.327578Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1903.01254","last_updated":"2019-05-07T08:53:01Z","snapshot_observed_at":"2026-08-19T21:20:30.700994Z","submitted_at":"2019-03-04T14:15:07Z","title":"Graph Neural Networks for Modelling Traffic Participant Interaction","version":2},"cited_work":{"arxiv_id":"1903.01254","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.01254","snapshot_observed_at":"2026-08-16T10:41:10.327578Z","title":"Graph Neural Networks for Modelling Traffic Participant Interaction","venue":"cs.LG","work_id":"d1697c4d-44a1-4916-be19-641a4d26221a","year":2019},"citing_paper":{"arxiv_id":"2504.17534","last_updated":"2025-04-24T13:20:32Z","snapshot_observed_at":"2026-08-22T03:31:20.480156Z","submitted_at":"2025-04-24T13:20:32Z","title":"Learning Isometric Embeddings of Road Networks using Multidimensional Scaling","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T10:41:09.660452Z"},"links":{"cited_paper":"/paper/1903.01254","citing_paper":"/paper/2504.17534"},"observation_digest":"sha256:26a0ff31b80d8bad79abfaac9f2bb15e225804ad89acec58825ff266096ae22a","observation_id":"5ce31c9a-5c33-4f11-b76d-994d9865534a","resolution":{"observed_at":"2026-08-16T10:41:10.332132Z","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/1903.01254/citation-record","integrity":"/paper/1903.01254/integrity","json":"/paper/1903.01254/citation-record.json","paper":"/paper/1903.01254"},"outbound":[],"paper":{"arxiv_id":"1903.01254","last_updated":"2019-05-07T08:53:01Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T21:20:30.700994Z","submitted_at":"2019-03-04T14:15:07Z","title":"Graph Neural Networks for Modelling Traffic Participant Interaction"},"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 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1903.01254."}