{"as_of":"2026-08-09T20:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:506ab16bf963ec08c07da57f529bc1da9c109a46508bbf8ea49dd3a901c1d643","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T16:29:48.283500Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T08:06:26.661540Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.14483","last_updated":"2023-11-24T00:58:48Z","snapshot_observed_at":"2026-07-06T15:07:56.586673Z","submitted_at":"2023-03-25T14:29:20Z","title":"Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14483","snapshot_observed_at":"2026-08-03T16:29:48.283500Z","title":"Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.13758","last_updated":"2025-12-15T11:30:44Z","snapshot_observed_at":"2026-08-09T12:29:55.413566Z","submitted_at":"2025-12-15T11:30:44Z","title":"Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T16:29:48.283500Z"},"links":{"cited_paper":"/paper/2303.14483","citing_paper":"/paper/2512.13758"},"observation_digest":"sha256:728f661e1befb372ac116f745f8e347a259f380b5cf58ca9b5b07daa8ecf548b","observation_id":"c3b06625-0e82-4b54-ac7d-81c9973b1987","resolution":{"observed_at":"2026-08-03T16:29:48.283500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.14483","last_updated":"2023-11-24T00:58:48Z","snapshot_observed_at":"2026-07-06T15:07:56.586673Z","submitted_at":"2023-03-25T14:29:20Z","title":"Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey","version":3},"cited_work":{"arxiv_id":"2303.14483","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.14483","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2303.14483 (2023)","venue":null,"work_id":"2b06184d-56dc-42ec-9717-df85d79c89f3","year":2023},"citing_paper":{"arxiv_id":"2605.08273","last_updated":"2026-05-08T03:45:51Z","snapshot_observed_at":"2026-08-05T12:51:37.154487Z","submitted_at":"2026-05-08T03:45:51Z","title":"Efficient Prompt Learning for Traffic Forecasting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T01:20:37.192907Z"},"links":{"cited_paper":"/paper/2303.14483","citing_paper":"/paper/2605.08273"},"observation_digest":"sha256:fd310b11e6b24ae14a0b29b894ef85a33ca9bf567381c355aa61c0910fc510ff","observation_id":"00593d91-f4f4-4c02-91e3-dec1bbfec284","resolution":{"observed_at":"2026-05-12T08:06:26.667869Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.14483","last_updated":"2023-11-24T00:58:48Z","snapshot_observed_at":"2026-07-06T15:07:56.586673Z","submitted_at":"2023-03-25T14:29:20Z","title":"Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14483","snapshot_observed_at":"2026-07-31T23:12:17.546477Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.24056","last_updated":"2026-07-27T06:53:43Z","snapshot_observed_at":"2026-08-09T12:30:00.745490Z","submitted_at":"2026-07-27T06:53:43Z","title":"Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-31T23:12:17.546477Z"},"links":{"cited_paper":"/paper/2303.14483","citing_paper":"/paper/2607.24056"},"observation_digest":"sha256:6f3c392ac6224c6550db5016eb937ad9bd4cabb4c586b69dffd187e360d408f7","observation_id":"27642e08-8c11-4bd8-aa52-2a4acdfaf36f","resolution":{"observed_at":"2026-07-31T23:12:17.546477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.14483/citation-record","integrity":"/paper/2303.14483/integrity","json":"/paper/2303.14483/citation-record.json","paper":"/paper/2303.14483"},"outbound":[],"paper":{"arxiv_id":"2303.14483","last_updated":"2023-11-24T00:58:48Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:07:56.586673Z","submitted_at":"2023-03-25T14:29:20Z","title":"Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.14483."}