{"as_of":"2026-08-22T13:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:040454198b112c21ed66ea95b11f088627a2f168b9ab462760aa510bd836cd96","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":"2026-08-22T06:32:14.747728+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":"2026-08-12T21:29:22.495804Z","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":"2026-08-12T21:29:22.921594Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.10426","last_updated":"2024-11-11T12:05:10Z","snapshot_observed_at":"2026-08-19T21:24:06.766453Z","submitted_at":"2022-12-20T17:04:50Z","title":"Deep Riemannian Networks for End-to-End EEG Decoding","version":7},"cited_work":{"arxiv_id":"2212.10426","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.10426","snapshot_observed_at":"2026-08-12T21:29:22.921594Z","title":"Deep Riemannian Networks for End-to-End EEG Decoding","venue":"cs.LG","work_id":"c9302487-4138-49a6-9bc9-bd929537c8ac","year":2022},"citing_paper":{"arxiv_id":"2411.17709","last_updated":"2024-11-13T16:15:48Z","snapshot_observed_at":"2026-08-19T21:18:39.057947Z","submitted_at":"2024-11-13T16:15:48Z","title":"Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T21:29:22.495804Z"},"links":{"cited_paper":"/paper/2212.10426","citing_paper":"/paper/2411.17709"},"observation_digest":"sha256:c4114ebd4a17bf4745dc8e4d877b2606be6e64e1b3d750c9da07df5972220495","observation_id":"3bae1d21-857e-4779-b4ff-8507c48a4db3","resolution":{"observed_at":"2026-08-12T21:29:22.928140Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.10426/citation-record","integrity":"/paper/2212.10426/integrity","json":"/paper/2212.10426/citation-record.json","paper":"/paper/2212.10426"},"outbound":[],"paper":{"arxiv_id":"2212.10426","last_updated":"2024-11-11T12:05:10Z","latest_version":7,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T21:24:06.766453Z","submitted_at":"2022-12-20T17:04:50Z","title":"Deep Riemannian Networks for End-to-End EEG Decoding"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.10426."}