{"as_of":"2026-08-14T11:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03c76953a882521cbea586a311b994e2712302be2b52e1834dd0a82f65d57dd7","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T04:21:51.432871Z","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":"2026-08-12T06:16:15.957210Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.12065","last_updated":"2024-10-28T18:02:26Z","snapshot_observed_at":"2026-08-12T23:21:26.740662Z","submitted_at":"2024-07-16T05:35:38Z","title":"Data selection method for assessment of autonomous vehicles","version":2},"cited_work":{"arxiv_id":"2407.12065","doi":"10.48550/arxiv.2407.12065","metadata_source":"pith","pith_arxiv_id":"2407.12065","snapshot_observed_at":"2026-08-12T06:16:15.957210Z","title":"Data selection method for assessment of autonomous vehicles","venue":"cs.LG","work_id":"05ebc58a-b7b1-4495-b820-10cb213e3495","year":2024},"citing_paper":{"arxiv_id":"2412.01461","last_updated":"2024-12-02T12:54:18Z","snapshot_observed_at":"2026-08-12T10:26:00.655368Z","submitted_at":"2024-12-02T12:54:18Z","title":"A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles","version":1},"reference_index":154,"source":"arxiv_source","source_observed_at":"2026-08-12T04:21:51.432871Z"},"links":{"cited_paper":"/paper/2407.12065","citing_paper":"/paper/2412.01461"},"observation_digest":"sha256:af7cc0fbd5e3787d82aab2bd22c926f8b637adafd9d09d61fc7c47c671230db2","observation_id":"6104c1ca-3ad3-4322-9802-da151fa3dfd5","resolution":{"observed_at":"2026-08-12T04:21:52.096625Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.12065/citation-record","integrity":"/paper/2407.12065/integrity","json":"/paper/2407.12065/citation-record.json","paper":"/paper/2407.12065"},"outbound":[],"paper":{"arxiv_id":"2407.12065","last_updated":"2024-10-28T18:02:26Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T23:21:26.740662Z","submitted_at":"2024-07-16T05:35:38Z","title":"Data selection method for assessment of autonomous vehicles"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.12065."}