{"as_of":"2026-08-14T22:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:62b67057cb96f3e87850aa11dfe34900fcad512821b9785e1af44aac2d4108b4","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T01:05:22.056619Z","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":"2026-08-06T21:52:09.734690Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.00268","last_updated":"2023-02-01T06:20:54Z","snapshot_observed_at":"2026-08-13T12:53:42.648996Z","submitted_at":"2023-02-01T06:20:54Z","title":"Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.00268","snapshot_observed_at":"2026-08-11T01:05:22.056619Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19021","last_updated":"2025-07-13T14:17:56Z","snapshot_observed_at":"2026-08-11T00:55:44.137360Z","submitted_at":"2024-12-26T02:12:37Z","title":"Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T01:05:22.056619Z"},"links":{"cited_paper":"/paper/2302.00268","citing_paper":"/paper/2412.19021"},"observation_digest":"sha256:f34a5dc2cc2e48e4d2a5ef40f31da4c8cec71c8a10c800109d9fceb106fafd18","observation_id":"63b8e147-b317-4c03-a36d-0a3d511da88d","resolution":{"observed_at":"2026-08-11T01:05:22.056619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00268","last_updated":"2023-02-01T06:20:54Z","snapshot_observed_at":"2026-08-13T12:53:42.648996Z","submitted_at":"2023-02-01T06:20:54Z","title":"Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection","version":1},"cited_work":{"arxiv_id":"2302.00268","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.00268","snapshot_observed_at":"2026-08-06T21:52:09.734690Z","title":"Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection","venue":"cs.CV","work_id":"3994a1ae-de94-447c-88af-53f965bf66bc","year":2023},"citing_paper":{"arxiv_id":"2506.23271","last_updated":"2025-06-29T14:52:01Z","snapshot_observed_at":"2026-08-10T09:37:08.379629Z","submitted_at":"2025-06-29T14:52:01Z","title":"Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T21:52:05.549277Z"},"links":{"cited_paper":"/paper/2302.00268","citing_paper":"/paper/2506.23271"},"observation_digest":"sha256:bcf61b809f1e4d8a6492d93002cbd5581d9af04ddd9e2fef77f4f017c9e00250","observation_id":"80143a62-4c19-47bb-b2d4-5c02da041242","resolution":{"observed_at":"2026-08-06T21:52:09.822104Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2302.00268/citation-record","integrity":"/paper/2302.00268/integrity","json":"/paper/2302.00268/citation-record.json","paper":"/paper/2302.00268"},"outbound":[],"paper":{"arxiv_id":"2302.00268","last_updated":"2023-02-01T06:20:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T12:53:42.648996Z","submitted_at":"2023-02-01T06:20:54Z","title":"Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation 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":"2026-08-14T06:32:32.682623+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 2 inbound Pith citation observations for arXiv:2302.00268."}