{"as_of":"2026-08-07T07:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4fd411eec5f9d45432b8893613625b9593208c6fc128d2888e909f28073d4e9c","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":"2026-08-07T06:34:17.273281+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":"2026-05-17T02:18:21.718091Z","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":"2026-05-17T02:18:52.337176Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.16050","last_updated":"2024-10-03T09:24:56Z","snapshot_observed_at":"2026-08-05T03:05:38.218384Z","submitted_at":"2024-02-25T10:27:46Z","title":"Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge","version":2},"cited_work":{"arxiv_id":"2402.16050","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16050","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Effi- cient temporal extrapolation of multimodal large language models with temporal grounding bridge","venue":null,"work_id":"25f60ecf-1b9b-49e6-939a-bb9c4e0e3977","year":2024},"citing_paper":{"arxiv_id":"2512.03963","last_updated":"2026-04-14T11:28:58Z","snapshot_observed_at":"2026-07-31T23:59:38.983651Z","submitted_at":"2025-12-03T16:57:00Z","title":"TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-17T02:18:21.718091Z"},"links":{"cited_paper":"/paper/2402.16050","citing_paper":"/paper/2512.03963"},"observation_digest":"sha256:8f0025f4ff536a9d1d75a72893484039d0cdca0dcd54cd38abeeb54930cb0138","observation_id":"5de38293-abb8-4a48-8d1d-41bbe9413f47","resolution":{"observed_at":"2026-05-17T02:18:52.339400Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16050","last_updated":"2024-10-03T09:24:56Z","snapshot_observed_at":"2026-08-05T03:05:38.218384Z","submitted_at":"2024-02-25T10:27:46Z","title":"Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge","version":2},"cited_work":{"arxiv_id":"2402.16050","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16050","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Effi- cient temporal extrapolation of multimodal large language models with temporal grounding bridge","venue":null,"work_id":"25f60ecf-1b9b-49e6-939a-bb9c4e0e3977","year":2024},"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":48,"source":"pdf_text","source_observed_at":"2026-05-10T16:36:33.264166Z"},"links":{"cited_paper":"/paper/2402.16050","citing_paper":"/paper/2604.11283"},"observation_digest":"sha256:3fcb1aaf7da1660a892c336f71dffd95a668328bd2f9d2ac79508327eff1446d","observation_id":"4d3b7203-efcd-4b8e-b27b-13fdd9d48d3b","resolution":{"observed_at":"2026-05-11T08:30:57.178083Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.16050/citation-record","integrity":"/paper/2402.16050/integrity","json":"/paper/2402.16050/citation-record.json","paper":"/paper/2402.16050"},"outbound":[],"paper":{"arxiv_id":"2402.16050","last_updated":"2024-10-03T09:24:56Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T03:05:38.218384Z","submitted_at":"2024-02-25T10:27:46Z","title":"Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge"},"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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.16050."}