{"as_of":"2026-08-13T00:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4fd74a33cd1d2cb1626ca01da1075267b4a10aaacff97d261b322a009cf2c9c6","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":"2026-08-12T06:34:41.77262+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":"2026-08-11T15:40:08.141075Z","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":"2026-08-11T15:40:08.486086Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.12833","last_updated":"2023-07-31T09:35:22Z","snapshot_observed_at":"2026-07-06T12:22:07.109232Z","submitted_at":"2021-12-23T20:35:10Z","title":"Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data","version":3},"cited_work":{"arxiv_id":"2112.12833","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.12833","snapshot_observed_at":"2026-08-11T15:40:08.486086Z","title":"Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data","venue":"cs.CV","work_id":"bd38d49e-fdb4-4d95-ac7b-761584a75888","year":2021},"citing_paper":{"arxiv_id":"2412.10765","last_updated":"2024-12-14T09:29:44Z","snapshot_observed_at":"2026-08-11T15:35:26.052651Z","submitted_at":"2024-12-14T09:29:44Z","title":"Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:40:08.141075Z"},"links":{"cited_paper":"/paper/2112.12833","citing_paper":"/paper/2412.10765"},"observation_digest":"sha256:7d18dc82dff3b77bb4ca48abca6961af63c8f212260b5e6cef76b9222824c3ce","observation_id":"1f92a0f1-d3cb-4a15-93c7-cb9eb61099ca","resolution":{"observed_at":"2026-08-11T15:40:08.492221Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.12833/citation-record","integrity":"/paper/2112.12833/integrity","json":"/paper/2112.12833/citation-record.json","paper":"/paper/2112.12833"},"outbound":[],"paper":{"arxiv_id":"2112.12833","last_updated":"2023-07-31T09:35:22Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T12:22:07.109232Z","submitted_at":"2021-12-23T20:35:10Z","title":"Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.12833."}