{"as_of":"2026-08-07T15:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:beee1a39b4dcf56f020f58c4cf2beac9dd78e3159673ccf5aaff6fe10aad86c4","coverage":[{"denominator":2,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T10:36:50.313116Z","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":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2606.22804/citation-record","integrity":"/paper/2606.22804/integrity","json":"/paper/2606.22804/citation-record.json","paper":"/paper/2606.22804"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.13561","last_updated":"2023-10-01T20:16:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-24T20:42:21Z","title":"Project Aria: A New Tool for Egocentric Multi-Modal AI Research","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.13561","snapshot_observed_at":"2026-08-02T10:36:50.266934Z","title":"Fang, J.; Deng, X.; Xu, H.; Jiang, Z.; Tang, Y.; Xu, Z.; Deng, S.; Yao, Y.; Wang, M.; Qiao, S.; et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.22804","last_updated":"2026-07-15T07:05:57Z","snapshot_observed_at":"2026-08-02T18:38:14.382601Z","submitted_at":"2026-06-22T03:29:45Z","title":"CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T10:36:50.266934Z"},"links":{"cited_paper":"/paper/2308.13561","citing_paper":"/paper/2606.22804"},"observation_digest":"sha256:355f35ba0336debecb112e0ab73daec006f1ffef318b2b41e11266669e167806","observation_id":"b55905e9-0cc0-4a3d-bf4a-7f0acc729081","resolution":{"observed_at":"2026-08-02T10:36:50.266934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11333","last_updated":"2024-06-17T08:44:03Z","snapshot_observed_at":"2026-07-06T18:32:02.206165Z","submitted_at":"2024-06-17T08:44:03Z","title":"Hallucination Mitigation Prompts Long-term Video Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11333","snapshot_observed_at":"2026-08-02T10:36:50.313116Z","title":"thinking with long videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.22804","last_updated":"2026-07-15T07:05:57Z","snapshot_observed_at":"2026-08-02T18:38:14.382601Z","submitted_at":"2026-06-22T03:29:45Z","title":"CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-02T10:36:50.313116Z"},"links":{"cited_paper":"/paper/2406.11333","citing_paper":"/paper/2606.22804"},"observation_digest":"sha256:83a6f675cafce652b6dd8e950cfef05e434831e5c4d7d2a3c47959bdd3096e0c","observation_id":"39588c2e-14b7-4f05-8595-7f9312bebc7e","resolution":{"observed_at":"2026-08-02T10:36:50.313116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.22804","last_updated":"2026-07-15T07:05:57Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T18:38:14.382601Z","submitted_at":"2026-06-22T03:29:45Z","title":"CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams"},"reference_resolution":{"displayed":2,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":2},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2606.22804."}