{"as_of":"2026-08-05T12:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56243acb73371326051cdcaa4a3fb7644c7ae82a77660913c8b8ceafd93a17c3","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":"2026-08-05T06:32:48.257954+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":"2026-08-02T22:07:06.693896Z","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":"1801.00904","last_updated":"2018-06-06T06:46:02Z","snapshot_observed_at":"2026-08-01T16:21:27.255811Z","submitted_at":"2018-01-03T05:49:37Z","title":"ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.00904","snapshot_observed_at":"2026-08-02T22:07:06.693896Z","title":"Screenernet: Learning self-paced curriculum for deep neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2603.04438","last_updated":"2026-06-16T07:46:11Z","snapshot_observed_at":"2026-08-04T22:14:58.335170Z","submitted_at":"2026-02-20T07:20:52Z","title":"CogGen: Cognitive-Load-Inspired Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T22:07:06.693896Z"},"links":{"cited_paper":"/paper/1801.00904","citing_paper":"/paper/2603.04438"},"observation_digest":"sha256:da30af4d0c94df4bbcb7f35f96eb318d09c991067c0c574a7dcb1a1d2c2b3cb5","observation_id":"6428cba5-0440-455f-a9bb-a4c8e1b760d4","resolution":{"observed_at":"2026-08-02T22:07:06.693896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1801.00904/citation-record","integrity":"/paper/1801.00904/integrity","json":"/paper/1801.00904/citation-record.json","paper":"/paper/1801.00904"},"outbound":[],"paper":{"arxiv_id":"1801.00904","last_updated":"2018-06-06T06:46:02Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T16:21:27.255811Z","submitted_at":"2018-01-03T05:49:37Z","title":"ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1801.00904."}