{"as_of":"2026-08-18T06:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2198b257502d4fc59b658083b58e52832f98f6d803de1d712e3310d300619a21","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":"2026-08-18T06:34:40.430872+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":"2026-08-08T15:53:51.537650Z","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":"2026-08-08T15:53:51.694247Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.05919","last_updated":"2023-04-12T15:38:23Z","snapshot_observed_at":"2026-08-16T15:40:58.160464Z","submitted_at":"2023-04-12T15:38:23Z","title":"Hard Patches Mining for Masked Image Modeling","version":1},"cited_work":{"arxiv_id":"2304.05919","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.05919","snapshot_observed_at":"2026-08-08T15:53:51.694247Z","title":"Hard Patches Mining for Masked Image Modeling","venue":"cs.CV","work_id":"0773065a-aea2-4292-bd71-1e3f538de9d8","year":2023},"citing_paper":{"arxiv_id":"2502.06314","last_updated":"2025-02-11T16:04:15Z","snapshot_observed_at":"2026-08-16T04:25:12.042745Z","submitted_at":"2025-02-10T10:06:46Z","title":"From Pixels to Components: Eigenvector Masking for Visual Representation Learning","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T15:53:51.537650Z"},"links":{"cited_paper":"/paper/2304.05919","citing_paper":"/paper/2502.06314"},"observation_digest":"sha256:05f7cb4c2cf28c26d82e65f36e432ef7a9aa1ab4cacda67a843f53a37a973380","observation_id":"56684edb-4a8d-4856-910f-db542eb38fb5","resolution":{"observed_at":"2026-08-08T15:53:51.699255Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.05919/citation-record","integrity":"/paper/2304.05919/integrity","json":"/paper/2304.05919/citation-record.json","paper":"/paper/2304.05919"},"outbound":[],"paper":{"arxiv_id":"2304.05919","last_updated":"2023-04-12T15:38:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T15:40:58.160464Z","submitted_at":"2023-04-12T15:38:23Z","title":"Hard Patches Mining for Masked Image Modeling"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2304.05919."}