{"as_of":"2026-08-10T00:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5df6584730bb47fa28c98c637cd9734f5a231ab9dbabba8432276b076e598b0b","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T22:33:25.667197Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":58,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1611.08024","last_updated":"2018-05-16T01:14:34Z","snapshot_observed_at":"2026-08-09T18:17:54.741591Z","submitted_at":"2016-11-23T22:36:58Z","title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.08024","snapshot_observed_at":"2026-08-08T22:33:25.667197Z","title":"Lawhern, Amelia J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.04515","last_updated":"2025-02-06T21:34:54Z","snapshot_observed_at":"2026-08-09T23:22:57.815255Z","submitted_at":"2025-02-06T21:34:54Z","title":"MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T22:33:25.667197Z"},"links":{"cited_paper":"/paper/1611.08024","citing_paper":"/paper/2502.04515"},"observation_digest":"sha256:187da8c33ec8d62ed5f03cc7f9241379c9b846d1a7a5549f1c747ba8d9bb47c3","observation_id":"dad4a902-39c7-44ef-816e-f6f9e4004e36","resolution":{"observed_at":"2026-08-08T22:33:25.667197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.08024","last_updated":"2018-05-16T01:14:34Z","snapshot_observed_at":"2026-08-09T18:17:54.741591Z","submitted_at":"2016-11-23T22:36:58Z","title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces","version":4},"cited_work":{"arxiv_id":"1611.08024","doi":"10.48550/arxiv.1611.08024","metadata_source":"pith","pith_arxiv_id":"1611.08024","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces","venue":"cs.LG","work_id":"e0038bfd-f3b4-49ea-8630-5a3a875200df","year":2016},"citing_paper":{"arxiv_id":"2607.22778","last_updated":"2026-07-24T08:55:28Z","snapshot_observed_at":"2026-08-08T08:19:44.800047Z","submitted_at":"2026-07-24T08:55:28Z","title":"Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T05:50:02.792515Z"},"links":{"cited_paper":"/paper/1611.08024","citing_paper":"/paper/2607.22778"},"observation_digest":"sha256:0107626aae2e0c6b975046e361518f57edb95b89c542fee65d9f663298b518ff","observation_id":"8d27899a-eb3f-4426-8c28-715585fc28a0","resolution":{"observed_at":"2026-08-01T05:53:21.073514Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.08024","last_updated":"2018-05-16T01:14:34Z","snapshot_observed_at":"2026-08-09T18:17:54.741591Z","submitted_at":"2016-11-23T22:36:58Z","title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.08024","snapshot_observed_at":"2026-08-08T00:26:13.907714Z","title":"Eegnet: a compact convolutional network for eeg-based brain-computer interfaces.arXiv preprint arXiv:1611.08024, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.04156","last_updated":"2026-08-04T19:07:09Z","snapshot_observed_at":"2026-08-09T07:03:57.768702Z","submitted_at":"2026-08-04T19:07:09Z","title":"BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T00:26:13.907714Z"},"links":{"cited_paper":"/paper/1611.08024","citing_paper":"/paper/2608.04156"},"observation_digest":"sha256:64c3a80a233e7c63efec086e550d38e76283a9c6d1e64551c64a498bd8eb23b9","observation_id":"74e9b142-fe4d-4d6f-b95c-8e297633da14","resolution":{"observed_at":"2026-08-08T00:26:13.907714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1611.08024/citation-record","integrity":"/paper/1611.08024/integrity","json":"/paper/1611.08024/citation-record.json","paper":"/paper/1611.08024"},"outbound":[],"paper":{"arxiv_id":"1611.08024","last_updated":"2018-05-16T01:14:34Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T18:17:54.741591Z","submitted_at":"2016-11-23T22:36:58Z","title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.08024."}