{"as_of":"2026-08-19T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c70b1f99963a81da35edf1e644e3067c075b1a21ae27f446a7712c571384e428","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:12:08.806060Z","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":"2026-05-13T22:50:24.162825Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.00529","last_updated":"2021-03-10T01:27:16Z","snapshot_observed_at":"2026-08-16T18:54:38.205001Z","submitted_at":"2021-01-02T23:35:27Z","title":"VinVL: Revisiting Visual Representations in Vision-Language Models","version":2},"cited_work":{"arxiv_id":"2101.00529","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.00529","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vinvl: Making visual representations matter in vision- language models","venue":null,"work_id":"2f59e6f7-72b3-4d38-a09a-9741b23db712","year":2021},"citing_paper":{"arxiv_id":"2301.12597","last_updated":"2023-06-15T07:57:29Z","snapshot_observed_at":"2026-08-12T12:01:54.105712Z","submitted_at":"2023-01-30T00:56:51Z","title":"BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T00:10:48.610351Z"},"links":{"cited_paper":"/paper/2101.00529","citing_paper":"/paper/2301.12597"},"observation_digest":"sha256:b9c53870226a1de1a75948aa01618ace79dff4bfa0b035b4277c2073b6c1c895","observation_id":"872924f1-ca31-4fee-b9ec-dbfdc2f2e61c","resolution":{"observed_at":"2026-05-12T00:10:50.163700Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00529","last_updated":"2021-03-10T01:27:16Z","snapshot_observed_at":"2026-08-16T18:54:38.205001Z","submitted_at":"2021-01-02T23:35:27Z","title":"VinVL: Revisiting Visual Representations in Vision-Language Models","version":2},"cited_work":{"arxiv_id":"2101.00529","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.00529","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vinvl: Making visual representations matter in vision- language models","venue":null,"work_id":"2f59e6f7-72b3-4d38-a09a-9741b23db712","year":2021},"citing_paper":{"arxiv_id":"2303.04671","last_updated":"2023-03-08T15:50:02Z","snapshot_observed_at":"2026-08-15T10:03:23.497428Z","submitted_at":"2023-03-08T15:50:02Z","title":"Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-13T22:50:24.053411Z"},"links":{"cited_paper":"/paper/2101.00529","citing_paper":"/paper/2303.04671"},"observation_digest":"sha256:c7857565b37d844c4f4396f1acab0eae22c925d395b9fa94f4a0f55fb3577e90","observation_id":"b495ffd3-6e09-4754-82ff-957c6e732d25","resolution":{"observed_at":"2026-05-13T22:50:24.165819Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00529","last_updated":"2021-03-10T01:27:16Z","snapshot_observed_at":"2026-08-16T18:54:38.205001Z","submitted_at":"2021-01-02T23:35:27Z","title":"VinVL: Revisiting Visual Representations in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00529","snapshot_observed_at":"2026-08-12T15:06:05.139120Z","title":"Vinvl: Revisiting visual representations in vision-language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.14688","last_updated":"2024-11-22T02:46:44Z","snapshot_observed_at":"2026-08-18T03:59:06.951262Z","submitted_at":"2024-11-22T02:46:44Z","title":"Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T15:06:05.139120Z"},"links":{"cited_paper":"/paper/2101.00529","citing_paper":"/paper/2411.14688"},"observation_digest":"sha256:fb47ef4abe1c8ff63b6c11c46610a5921875feef97cbda8dfa61c20f2b2fc270","observation_id":"3faccc33-6290-4dae-ad00-4adfd538343c","resolution":{"observed_at":"2026-08-12T15:06:05.139120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00529","last_updated":"2021-03-10T01:27:16Z","snapshot_observed_at":"2026-08-16T18:54:38.205001Z","submitted_at":"2021-01-02T23:35:27Z","title":"VinVL: Revisiting Visual Representations in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00529","snapshot_observed_at":"2026-08-04T18:48:03.880972Z","title":"Vinvl: Making visual representations matter in vision-language models.arXiv preprint arXiv:2101.00529, 1(6):8, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09680","last_updated":"2025-09-11T17:59:59Z","snapshot_observed_at":"2026-08-15T13:22:53.250412Z","submitted_at":"2025-09-11T17:59:59Z","title":"FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-04T18:48:03.880972Z"},"links":{"cited_paper":"/paper/2101.00529","citing_paper":"/paper/2509.09680"},"observation_digest":"sha256:af02d6c0d8d7bbb7fa2c364b6dbcace69d2d5b3ae60379f4efd92d312eb0e999","observation_id":"700b9ab6-fd88-4774-99c9-fa3b8739461a","resolution":{"observed_at":"2026-08-04T18:48:03.880972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00529","last_updated":"2021-03-10T01:27:16Z","snapshot_observed_at":"2026-08-16T18:54:38.205001Z","submitted_at":"2021-01-02T23:35:27Z","title":"VinVL: Revisiting Visual Representations in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00529","snapshot_observed_at":"2026-08-16T00:12:08.806060Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.12532","last_updated":"2026-08-12T19:07:07Z","snapshot_observed_at":"2026-08-18T17:51:28.390002Z","submitted_at":"2026-08-12T19:07:07Z","title":"MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T00:12:08.806060Z"},"links":{"cited_paper":"/paper/2101.00529","citing_paper":"/paper/2608.12532"},"observation_digest":"sha256:3ff6b4c28d78e90a288cf0f9a0c3e5491582080e4a92a9fa05ba23fa7a24076c","observation_id":"d70aadd0-591e-4151-b336-91d4d0f2279e","resolution":{"observed_at":"2026-08-16T00:12:08.806060Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2101.00529/citation-record","integrity":"/paper/2101.00529/integrity","json":"/paper/2101.00529/citation-record.json","paper":"/paper/2101.00529"},"outbound":[],"paper":{"arxiv_id":"2101.00529","last_updated":"2021-03-10T01:27:16Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T18:54:38.205001Z","submitted_at":"2021-01-02T23:35:27Z","title":"VinVL: Revisiting Visual Representations in Vision-Language Models"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.00529."}