{"as_of":"2026-08-08T23:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a640d330eafddcb7d0dd711888225edb82e7fd3585f62d02395dac7cc260191","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T19:39:35.608888Z","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":"2026-08-07T19:39:35.683377Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.12873","last_updated":"2023-01-30T13:27:47Z","snapshot_observed_at":"2026-08-07T09:34:30.034771Z","submitted_at":"2023-01-30T13:27:47Z","title":"Approximating DTW with a convolutional neural network on EEG data","version":1},"cited_work":{"arxiv_id":"2301.12873","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.12873","snapshot_observed_at":"2026-08-07T19:39:35.683377Z","title":"Approximating DTW with a convolutional neural network on EEG data","venue":"cs.LG","work_id":"81ce3a66-0dd5-46f3-acc4-301d66c21be2","year":2023},"citing_paper":{"arxiv_id":"2502.10046","last_updated":"2025-02-14T09:46:43Z","snapshot_observed_at":"2026-08-08T21:28:54.235646Z","submitted_at":"2025-02-14T09:46:43Z","title":"ViRAC: A Vision-Reasoning Agent Head Movement Control Framework in Arbitrary Virtual Environments","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T19:39:35.608888Z"},"links":{"cited_paper":"/paper/2301.12873","citing_paper":"/paper/2502.10046"},"observation_digest":"sha256:a9ca6e2bfb0701a3a53d47a908a22afe5efc5d97d0e637a2d4d7b848f5477297","observation_id":"6e982644-dc9a-45f2-8d54-88924b2eb7ef","resolution":{"observed_at":"2026-08-07T19:39:35.691345Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2301.12873/citation-record","integrity":"/paper/2301.12873/integrity","json":"/paper/2301.12873/citation-record.json","paper":"/paper/2301.12873"},"outbound":[],"paper":{"arxiv_id":"2301.12873","last_updated":"2023-01-30T13:27:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T09:34:30.034771Z","submitted_at":"2023-01-30T13:27:47Z","title":"Approximating DTW with a convolutional neural network on EEG 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2301.12873."}