{"as_of":"2026-08-05T09:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a2b82f2b4f037530d05aa79b37d2944b31870784d51fb3eae289d28e012507aa","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T02:54:48.648483Z","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":"2026-05-16T02:57:11.800477Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.23567","last_updated":"2025-09-05T15:41:13Z","snapshot_observed_at":"2026-07-06T22:05:48.037506Z","submitted_at":"2025-07-31T13:56:41Z","title":"3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection","version":2},"cited_work":{"arxiv_id":"2507.23567","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.23567","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3d-mood: Lifting 2d to 3d for monocular open- set object detection","venue":null,"work_id":"060dff3c-8fd0-4b4a-bef2-c0e747f0cae2","year":2025},"citing_paper":{"arxiv_id":"2602.09532","last_updated":"2026-04-04T18:46:31Z","snapshot_observed_at":"2026-08-03T11:48:26.973469Z","submitted_at":"2026-02-10T08:44:31Z","title":"RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-16T02:54:48.648483Z"},"links":{"cited_paper":"/paper/2507.23567","citing_paper":"/paper/2602.09532"},"observation_digest":"sha256:3231bff6c78519c2aff6528653a6da5af39a8a05ebe756b147ecbc6ff4318133","observation_id":"896f1474-7f19-4eda-8ed9-de9fb701ff33","resolution":{"observed_at":"2026-05-16T02:57:11.803753Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.23567","last_updated":"2025-09-05T15:41:13Z","snapshot_observed_at":"2026-07-06T22:05:48.037506Z","submitted_at":"2025-07-31T13:56:41Z","title":"3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection","version":2},"cited_work":{"arxiv_id":"2507.23567","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.23567","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3d-mood: Lifting 2d to 3d for monocular open- set object detection","venue":null,"work_id":"060dff3c-8fd0-4b4a-bef2-c0e747f0cae2","year":2025},"citing_paper":{"arxiv_id":"2604.08626","last_updated":"2026-04-17T22:49:55Z","snapshot_observed_at":"2026-07-06T22:57:40.773778Z","submitted_at":"2026-04-09T16:00:10Z","title":"WildDet3D: Scaling Promptable 3D Detection in the Wild","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-10T17:38:13.336003Z"},"links":{"cited_paper":"/paper/2507.23567","citing_paper":"/paper/2604.08626"},"observation_digest":"sha256:92655335760be919f4aaf6b7e925bd695cee7521601c844191eb75fee534f8ae","observation_id":"14e18396-47b2-41f8-9537-1a0157a41913","resolution":{"observed_at":"2026-05-11T06:26:00.640343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.23567/citation-record","integrity":"/paper/2507.23567/integrity","json":"/paper/2507.23567/citation-record.json","paper":"/paper/2507.23567"},"outbound":[],"paper":{"arxiv_id":"2507.23567","last_updated":"2025-09-05T15:41:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T22:05:48.037506Z","submitted_at":"2025-07-31T13:56:41Z","title":"3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.23567."}