{"as_of":"2026-08-20T23:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2856de8334fc9dce8ac1eebc47ab31229bd25d57e5519edec728faeaee7ab71c","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":"2026-08-20T06:33:59.587034+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":"2026-08-11T16:47:52.702640Z","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":"2026-08-11T16:47:52.789486Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.05946","last_updated":"2024-02-25T23:39:50Z","snapshot_observed_at":"2026-08-20T14:45:09.956843Z","submitted_at":"2022-09-10T14:25:14Z","title":"OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network","version":2},"cited_work":{"arxiv_id":"2209.05946","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.05946","snapshot_observed_at":"2026-08-11T16:47:52.789486Z","title":"OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network","venue":"cs.CV","work_id":"6b6c89f0-ca49-4e9c-871c-27d6fb9475d4","year":2022},"citing_paper":{"arxiv_id":"2412.09799","last_updated":"2024-12-13T02:36:29Z","snapshot_observed_at":"2026-08-20T10:37:02.916528Z","submitted_at":"2024-12-13T02:36:29Z","title":"CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T16:47:52.702640Z"},"links":{"cited_paper":"/paper/2209.05946","citing_paper":"/paper/2412.09799"},"observation_digest":"sha256:288b5024b84137dddfeab5b671b960c9289557f41b07ce430c2e496d18d1d9b0","observation_id":"03e66182-1902-4b97-b70c-9225c303a007","resolution":{"observed_at":"2026-08-11T16:47:52.797227Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2209.05946/citation-record","integrity":"/paper/2209.05946/integrity","json":"/paper/2209.05946/citation-record.json","paper":"/paper/2209.05946"},"outbound":[],"paper":{"arxiv_id":"2209.05946","last_updated":"2024-02-25T23:39:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T14:45:09.956843Z","submitted_at":"2022-09-10T14:25:14Z","title":"OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2209.05946."}