{"as_of":"2026-08-20T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:686796c6a3162bc4f9b4a9a799979081ca3623ecd4ec7eec4f149dbfdec7b39a","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":"2026-08-20T06:33:59.587034+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":"2026-08-11T20:32:56.255297Z","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":"2026-05-23T07:05:29.201707Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.08583","last_updated":"2024-08-05T10:31:24Z","snapshot_observed_at":"2026-08-16T13:35:02.609914Z","submitted_at":"2024-07-11T15:08:11Z","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08583","snapshot_observed_at":"2026-08-11T20:32:56.255297Z","title":"The synergy between data and multi-modal large language mod- els: A survey from co-development perspective","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05685","last_updated":"2024-12-07T15:47:49Z","snapshot_observed_at":"2026-08-19T07:41:46.511967Z","submitted_at":"2024-12-07T15:47:49Z","title":"HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:32:56.255297Z"},"links":{"cited_paper":"/paper/2407.08583","citing_paper":"/paper/2412.05685"},"observation_digest":"sha256:b61476b2e89c23b70fddbe4b50aa6d3aaed9104ad3ce8454412fa9ac6a69aba9","observation_id":"0eb6b691-63cc-498a-88ab-31b9ada2f9fb","resolution":{"observed_at":"2026-08-11T20:32:56.255297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08583","last_updated":"2024-08-05T10:31:24Z","snapshot_observed_at":"2026-08-16T13:35:02.609914Z","submitted_at":"2024-07-11T15:08:11Z","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective","version":2},"cited_work":{"arxiv_id":"2407.08583","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08583","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The synergy between data and multi-modal large language mod- els: A survey from co-development perspective","venue":null,"work_id":"ed55ecd4-3bf1-4ffe-aba9-79cfbebc37ad","year":2024},"citing_paper":{"arxiv_id":"2412.17574","last_updated":"2026-04-13T15:05:36Z","snapshot_observed_at":"2026-08-16T15:46:38.002728Z","submitted_at":"2024-12-23T13:45:56Z","title":"HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-23T07:05:08.716223Z"},"links":{"cited_paper":"/paper/2407.08583","citing_paper":"/paper/2412.17574"},"observation_digest":"sha256:71b0fbdd1d6621c36c47898c68f4e727edefed9187d766ee876a5af561c4c601","observation_id":"a9f57ac7-d4c8-4cc4-80d9-7fed7c4558c0","resolution":{"observed_at":"2026-05-23T07:05:29.204030Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.08583/citation-record","integrity":"/paper/2407.08583/integrity","json":"/paper/2407.08583/citation-record.json","paper":"/paper/2407.08583"},"outbound":[],"paper":{"arxiv_id":"2407.08583","last_updated":"2024-08-05T10:31:24Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T13:35:02.609914Z","submitted_at":"2024-07-11T15:08:11Z","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.08583."}