{"as_of":"2026-08-19T15:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b268b5f87bcf8060ea2ce6464e51a7cbe1d877433e1bc3e34db934a6768197ad","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":"2026-08-19T06:32:44.657259+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":"2026-08-01T04:32:36.401109Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.02549","last_updated":"2022-06-17T14:23:26Z","snapshot_observed_at":"2026-08-16T17:44:10.837840Z","submitted_at":"2021-11-03T22:34:16Z","title":"VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02549","snapshot_observed_at":"2026-08-01T04:32:36.401109Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.27620","last_updated":"2026-07-30T03:15:26Z","snapshot_observed_at":"2026-08-18T08:51:57.958097Z","submitted_at":"2026-07-30T03:15:26Z","title":"MedXplore: Towards Reliable and Unbiased Generalized Category Discovery in Medical Imaging","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-01T04:32:36.401109Z"},"links":{"cited_paper":"/paper/2111.02549","citing_paper":"/paper/2607.27620"},"observation_digest":"sha256:ec8057ac46e9d24ee625c5c20dd31edaaba7c733b0d1a0c9a43916f14a309ece","observation_id":"834fc5c5-c696-4da2-b30c-4b3071afe1fc","resolution":{"observed_at":"2026-08-01T04:32:36.401109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2111.02549/citation-record","integrity":"/paper/2111.02549/integrity","json":"/paper/2111.02549/citation-record.json","paper":"/paper/2111.02549"},"outbound":[],"paper":{"arxiv_id":"2111.02549","last_updated":"2022-06-17T14:23:26Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T17:44:10.837840Z","submitted_at":"2021-11-03T22:34:16Z","title":"VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction"},"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 1 inbound Pith citation observation for arXiv:2111.02549."}