{"as_of":"2026-08-14T12:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b6b57f3f8d2e61785d503bff558e95e5ced876069a632659c843eccd3e884ba","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:30:52.173108Z","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":"2026-08-12T13:30:52.338507Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.09365","last_updated":"2024-10-12T04:34:46Z","snapshot_observed_at":"2026-08-12T22:24:57.066788Z","submitted_at":"2024-10-12T04:34:46Z","title":"Debiasing Vison-Language Models with Text-Only Training","version":1},"cited_work":{"arxiv_id":"2410.09365","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.09365","snapshot_observed_at":"2026-08-12T13:30:52.338507Z","title":"Debiasing Vison-Language Models with Text-Only Training","venue":"cs.CV","work_id":"65bafca6-2ad8-4b8b-a19a-f1ccc489d987","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.173108Z"},"links":{"cited_paper":"/paper/2410.09365","citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:3fc3d733346611c42dedd438df11176525a8574acdf0b370e2b766df35bc1dc9","observation_id":"8b43244c-0fe5-4e3b-9629-6d752691a9ab","resolution":{"observed_at":"2026-08-12T13:30:52.346101Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.09365/citation-record","integrity":"/paper/2410.09365/integrity","json":"/paper/2410.09365/citation-record.json","paper":"/paper/2410.09365"},"outbound":[],"paper":{"arxiv_id":"2410.09365","last_updated":"2024-10-12T04:34:46Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T22:24:57.066788Z","submitted_at":"2024-10-12T04:34:46Z","title":"Debiasing Vison-Language Models with Text-Only Training"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.09365."}