{"as_of":"2026-08-07T17:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a454edc5c4e63c1ee3b40523468c997c5aa68026e46ef96357304cd125802666","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":"2026-08-07T06:34:17.273281+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":"2026-08-01T14:41:35.158377Z","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":"2026-08-01T18:16:15.623592Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.09707","last_updated":"2021-06-17T17:58:02Z","snapshot_observed_at":"2026-08-06T20:20:02.563170Z","submitted_at":"2021-06-17T17:58:02Z","title":"Learning to Predict Visual Attributes in the Wild","version":1},"cited_work":{"arxiv_id":"2106.09707","doi":"10.48550/arxiv.2106.09707","metadata_source":"pith","pith_arxiv_id":"2106.09707","snapshot_observed_at":"2026-08-01T18:16:15.623592Z","title":"Learning to Predict Visual Attributes in the Wild","venue":"cs.CV","work_id":"a3d86689-dff1-41f3-af84-07ea226dbb8f","year":2021},"citing_paper":{"arxiv_id":"2607.18695","last_updated":"2026-07-21T04:34:24Z","snapshot_observed_at":"2026-08-03T03:08:40.263283Z","submitted_at":"2026-07-21T04:34:24Z","title":"Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T14:41:35.158377Z"},"links":{"cited_paper":"/paper/2106.09707","citing_paper":"/paper/2607.18695"},"observation_digest":"sha256:cc392b3e0505a070b1573b0b58c1958dbdaca85f277c134904f7bd8cca7484ea","observation_id":"7e85efa4-b20d-430a-86bc-af1d24e96939","resolution":{"observed_at":"2026-08-01T14:43:34.139610Z","resolver_source":"local_arxiv","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/2106.09707/citation-record","integrity":"/paper/2106.09707/integrity","json":"/paper/2106.09707/citation-record.json","paper":"/paper/2106.09707"},"outbound":[],"paper":{"arxiv_id":"2106.09707","last_updated":"2021-06-17T17:58:02Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:20:02.563170Z","submitted_at":"2021-06-17T17:58:02Z","title":"Learning to Predict Visual Attributes in the Wild"},"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 1 inbound Pith citation observation for arXiv:2106.09707."}