{"as_of":"2026-08-06T18:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f6318fee37d143f76abcb3a028949ee6d8250972694f990e14afdc73818594e0","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":"2026-08-06T06:34:29.942622+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":"2026-05-09T15:26:52.844479Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T16:41:12.100847Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.13220","last_updated":"2024-02-28T11:56:57Z","snapshot_observed_at":"2026-07-06T15:58:08.777051Z","submitted_at":"2023-07-25T03:11:24Z","title":"One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction","version":2},"cited_work":{"arxiv_id":"2307.13220","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.13220","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"One for multiple: Physics-informed synthetic data boosts generaliz- able deep learning for fast mri reconstruction","venue":null,"work_id":"a8af932a-0b02-452e-920f-322b8161db14","year":2023},"citing_paper":{"arxiv_id":"2605.01185","last_updated":"2026-05-02T01:25:43Z","snapshot_observed_at":"2026-08-02T04:47:49.410803Z","submitted_at":"2026-05-02T01:25:43Z","title":"Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-09T15:26:52.844479Z"},"links":{"cited_paper":"/paper/2307.13220","citing_paper":"/paper/2605.01185"},"observation_digest":"sha256:de82cf7a1c65f76e55ac42eb3edefeb621740b9ccba63055fa2ab2c6a31fcaa0","observation_id":"c050cf1c-e852-4642-93b0-530f844ccea0","resolution":{"observed_at":"2026-05-11T16:41:12.104339Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.13220/citation-record","integrity":"/paper/2307.13220/integrity","json":"/paper/2307.13220/citation-record.json","paper":"/paper/2307.13220"},"outbound":[],"paper":{"arxiv_id":"2307.13220","last_updated":"2024-02-28T11:56:57Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T15:58:08.777051Z","submitted_at":"2023-07-25T03:11:24Z","title":"One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast 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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2307.13220."}