{"as_of":"2026-08-08T03:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8374a6dc889f812b2538f2e31a7eccb4dfd029377270f5a77f4137e12675fd84","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":"2026-08-07T13:30:22.632151Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T19:05:41.883393Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.08673","last_updated":"2021-03-30T23:51:50Z","snapshot_observed_at":"2026-08-08T01:33:22.286787Z","submitted_at":"2020-12-15T23:41:42Z","title":"A Closer Look at the Robustness of Vision-and-Language Pre-trained Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.08673","snapshot_observed_at":"2026-08-07T13:30:22.632151Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.21755","last_updated":"2025-06-20T19:32:29Z","snapshot_observed_at":"2026-08-07T13:21:29.320603Z","submitted_at":"2025-05-27T20:44:44Z","title":"FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:30:22.632151Z"},"links":{"cited_paper":"/paper/2012.08673","citing_paper":"/paper/2505.21755"},"observation_digest":"sha256:abf88afd86058a868a7ffc11e549589462bc188289cd1facc8675119904e779d","observation_id":"f660c6de-5279-4c97-8d8e-b59d828749fe","resolution":{"observed_at":"2026-08-07T13:30:22.632151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.08673","last_updated":"2021-03-30T23:51:50Z","snapshot_observed_at":"2026-08-08T01:33:22.286787Z","submitted_at":"2020-12-15T23:41:42Z","title":"A Closer Look at the Robustness of Vision-and-Language Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2012.08673","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.08673","snapshot_observed_at":"2026-08-05T19:05:41.883393Z","title":"A Closer Look at the Robustness of Vision-and-Language Pre-trained Models","venue":"cs.CV","work_id":"23088290-029c-44a1-a1d9-ed63538b464b","year":2020},"citing_paper":{"arxiv_id":"2508.13428","last_updated":"2025-08-19T01:03:45Z","snapshot_observed_at":"2026-08-05T19:05:35.154723Z","submitted_at":"2025-08-19T01:03:45Z","title":"Mitigating Easy Option Bias in Multiple-Choice Question Answering","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T19:05:41.289405Z"},"links":{"cited_paper":"/paper/2012.08673","citing_paper":"/paper/2508.13428"},"observation_digest":"sha256:068fcacd984a35e61fdfd5b94e3d6edd408b106c376bd7aa4647a01b3c898db1","observation_id":"65351b54-3e03-4406-9320-b91e0c2f0a0c","resolution":{"observed_at":"2026-08-05T19:05:41.963140Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2012.08673/citation-record","integrity":"/paper/2012.08673/integrity","json":"/paper/2012.08673/citation-record.json","paper":"/paper/2012.08673"},"outbound":[],"paper":{"arxiv_id":"2012.08673","last_updated":"2021-03-30T23:51:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T01:33:22.286787Z","submitted_at":"2020-12-15T23:41:42Z","title":"A Closer Look at the Robustness of Vision-and-Language Pre-trained 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.08673."}