{"as_of":"2026-08-09T05:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4956be8bc2356e5dd47e6c77ad1146443343861f8a1c72b91938b5bb5ceb9cff","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T20:39:14.052847Z","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":"2026-05-11T08:30:57.156286Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.02310","last_updated":"2023-12-04T19:48:02Z","snapshot_observed_at":"2026-07-06T16:56:53.868165Z","submitted_at":"2023-12-04T19:48:02Z","title":"VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02310","snapshot_observed_at":"2026-08-06T20:39:14.052847Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03038","last_updated":"2025-07-23T08:06:29Z","snapshot_observed_at":"2026-08-08T11:13:39.270041Z","submitted_at":"2025-07-03T05:49:18Z","title":"Cautious Next Token Prediction","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T20:39:14.052847Z"},"links":{"cited_paper":"/paper/2312.02310","citing_paper":"/paper/2507.03038"},"observation_digest":"sha256:8ba47a04d6ddbb6f5c78108c95e1f12a19aba2bfa7a7c6c97c834734abbb5529","observation_id":"85f9e8df-e78b-430f-aa83-9073e085e0ea","resolution":{"observed_at":"2026-08-06T20:39:14.052847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02310","last_updated":"2023-12-04T19:48:02Z","snapshot_observed_at":"2026-07-06T16:56:53.868165Z","submitted_at":"2023-12-04T19:48:02Z","title":"VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding","version":1},"cited_work":{"arxiv_id":"2312.02310","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.02310","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vaquita: Enhancing alignment in llm-assisted video understanding","venue":null,"work_id":"61c608bc-0a71-47c6-ad26-9f64e6c18194","year":2023},"citing_paper":{"arxiv_id":"2604.11283","last_updated":"2026-06-01T08:50:38Z","snapshot_observed_at":"2026-08-02T05:26:21.584719Z","submitted_at":"2026-04-13T10:42:31Z","title":"Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T16:36:33.264166Z"},"links":{"cited_paper":"/paper/2312.02310","citing_paper":"/paper/2604.11283"},"observation_digest":"sha256:64d4336f77ac36bfa6f6481bd909cc56dedab095751cbb63fe47b136b8256d70","observation_id":"19b13cc9-4f5e-4dcd-82e5-0a5c87dc2d55","resolution":{"observed_at":"2026-05-11T08:30:57.159551Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.02310/citation-record","integrity":"/paper/2312.02310/integrity","json":"/paper/2312.02310/citation-record.json","paper":"/paper/2312.02310"},"outbound":[],"paper":{"arxiv_id":"2312.02310","last_updated":"2023-12-04T19:48:02Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:56:53.868165Z","submitted_at":"2023-12-04T19:48:02Z","title":"VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.02310."}