{"as_of":"2026-08-16T17:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a4d2aa30a53be3ef7e777a52155d66de683f1532f88597b9ab105aa600c13b9","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":"2026-08-16T06:30:59.297886+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":"2026-08-14T15:22:10.860425Z","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":"2026-08-14T15:22:10.892089Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1711.00905","last_updated":"2019-09-16T02:25:53Z","snapshot_observed_at":"2026-08-14T20:17:31.077456Z","submitted_at":"2017-11-02T19:46:45Z","title":"Sparse-View X-Ray CT Reconstruction Using $\\ell_1$ Prior with Learned Transform","version":3},"cited_work":{"arxiv_id":"1711.00905","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.00905","snapshot_observed_at":"2026-08-14T15:22:10.892089Z","title":"Sparse-View X-Ray CT Reconstruction Using $\\ell_1$ Prior with Learned Transform","venue":"stat.ML","work_id":"01cd2556-5bc9-46d4-b785-7836d521eed6","year":2017},"citing_paper":{"arxiv_id":"1908.01287","last_updated":"2019-08-04T07:10:24Z","snapshot_observed_at":"2026-08-16T02:22:39.568249Z","submitted_at":"2019-08-04T07:10:24Z","title":"BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T15:22:10.860425Z"},"links":{"cited_paper":"/paper/1711.00905","citing_paper":"/paper/1908.01287"},"observation_digest":"sha256:0b43040440c48a8ed4750e47a431c86fa2db3de6eae7dc0e64b8985bba90b7e3","observation_id":"ae53ac63-97c2-4065-b94e-c319be0954cf","resolution":{"observed_at":"2026-08-14T15:22:10.897774Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1711.00905/citation-record","integrity":"/paper/1711.00905/integrity","json":"/paper/1711.00905/citation-record.json","paper":"/paper/1711.00905"},"outbound":[],"paper":{"arxiv_id":"1711.00905","last_updated":"2019-09-16T02:25:53Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-14T20:17:31.077456Z","submitted_at":"2017-11-02T19:46:45Z","title":"Sparse-View X-Ray CT Reconstruction Using $\\ell_1$ Prior with Learned Transform"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1711.00905."}