{"as_of":"2026-08-23T00:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e2d910887360f2dd7abfa9e9e6ae203fbbf9e663220c8c9076a2f4296296c832","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":"2026-08-22T06:32:14.747728+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":"2026-08-04T19:37:41.972175Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.02834","last_updated":"2018-07-20T15:53:44Z","snapshot_observed_at":"2026-08-17T17:46:22.513853Z","submitted_at":"2018-05-08T05:05:56Z","title":"Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02834","snapshot_observed_at":"2026-08-04T19:37:41.972175Z","title":"Weakly-supervised video object grounding from text by loss weighting and object interaction,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.09151","last_updated":"2026-06-08T07:16:30Z","snapshot_observed_at":"2026-08-15T10:48:06.285046Z","submitted_at":"2025-09-11T05:06:30Z","title":"Video Understanding by Design: How Datasets Shape Video Models","version":2},"reference_index":144,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:41.972175Z"},"links":{"cited_paper":"/paper/1805.02834","citing_paper":"/paper/2509.09151"},"observation_digest":"sha256:e176d50bce997b4409feb33e492fb88be50df560655b72f98d0643602b3ac2ea","observation_id":"5d3c149e-db4e-49bb-b87e-b58c3b1cb5fa","resolution":{"observed_at":"2026-08-04T19:37:41.972175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02834","last_updated":"2018-07-20T15:53:44Z","snapshot_observed_at":"2026-08-17T17:46:22.513853Z","submitted_at":"2018-05-08T05:05:56Z","title":"Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02834","snapshot_observed_at":"2026-08-03T18:28:20.914249Z","title":"Weakly- supervised video object grounding from text by loss weight- ing and object interaction.arXiv preprint arXiv:1805.02834,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.05277","last_updated":"2026-06-02T23:07:19Z","snapshot_observed_at":"2026-08-13T02:05:37.686752Z","submitted_at":"2025-12-04T21:57:10Z","title":"From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-03T18:28:20.914249Z"},"links":{"cited_paper":"/paper/1805.02834","citing_paper":"/paper/2512.05277"},"observation_digest":"sha256:d61de1494cfa76a70bd597646694afa6e81b1d18d74b4af15263c770c9d726d1","observation_id":"b849da04-d024-44f2-b430-62f791c54143","resolution":{"observed_at":"2026-08-03T18:28:20.914249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1805.02834/citation-record","integrity":"/paper/1805.02834/integrity","json":"/paper/1805.02834/citation-record.json","paper":"/paper/1805.02834"},"outbound":[],"paper":{"arxiv_id":"1805.02834","last_updated":"2018-07-20T15:53:44Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T17:46:22.513853Z","submitted_at":"2018-05-08T05:05:56Z","title":"Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.02834."}