{"as_of":"2026-08-24T02:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:447a6e5b12bfc98aa4d6515e5d7a4ddd62c5118ae90f64450e0b339c2d12d744","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":"2026-08-23T06:30:58.430688+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":"2026-08-09T10:51:29.191631Z","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":"2026-05-23T07:25:28.446208Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.05083","last_updated":"2025-02-04T04:06:48Z","snapshot_observed_at":"2026-08-19T08:29:37.302766Z","submitted_at":"2024-04-07T21:46:47Z","title":"DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models","version":2},"cited_work":{"arxiv_id":"2404.05083","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.05083","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4e9ab468-f5c7-461c-84ba-2d3937998313","year":2024},"citing_paper":{"arxiv_id":"2412.07160","last_updated":"2026-04-26T01:15:25Z","snapshot_observed_at":"2026-08-12T15:00:25.452816Z","submitted_at":"2024-12-10T03:41:07Z","title":"Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-23T07:23:51.435139Z"},"links":{"cited_paper":"/paper/2404.05083","citing_paper":"/paper/2412.07160"},"observation_digest":"sha256:1114a6b0d252f8d07e172c9ea35b3919724154a86e0d20649873f594fd9fb246","observation_id":"c3f510e6-0910-4af5-b2b6-8ded72001dd5","resolution":{"observed_at":"2026-05-23T07:25:28.448609Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05083","last_updated":"2025-02-04T04:06:48Z","snapshot_observed_at":"2026-08-19T08:29:37.302766Z","submitted_at":"2024-04-07T21:46:47Z","title":"DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05083","snapshot_observed_at":"2026-08-09T10:51:29.191631Z","title":"Havtr: Improving video-text retrieval through augmentation using large foundation models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02885","last_updated":"2025-04-08T15:45:28Z","snapshot_observed_at":"2026-08-19T18:30:45.537724Z","submitted_at":"2025-02-05T04:51:46Z","title":"Expertized Caption Auto-Enhancement for Video-Text Retrieval","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T10:51:29.191631Z"},"links":{"cited_paper":"/paper/2404.05083","citing_paper":"/paper/2502.02885"},"observation_digest":"sha256:6f7c6716564125ef2d6e93bb6c6a771577eab2bd41205a64ba09317bc7bc677d","observation_id":"2c8ee2f4-1d81-4f21-82a9-86326b8c9edf","resolution":{"observed_at":"2026-08-09T10:51:29.191631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.05083/citation-record","integrity":"/paper/2404.05083/integrity","json":"/paper/2404.05083/citation-record.json","paper":"/paper/2404.05083"},"outbound":[],"paper":{"arxiv_id":"2404.05083","last_updated":"2025-02-04T04:06:48Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T08:29:37.302766Z","submitted_at":"2024-04-07T21:46:47Z","title":"DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.05083."}