{"as_of":"2026-08-21T16:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:86b835de340b54ef0a9bcc77fb84a6be626578611c0430d70c38d9c1b2d54a47","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":"2026-08-21T06:32:19.484+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":"2026-08-14T05:22:43.416844Z","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":"2026-08-14T05:22:43.469883Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.04024","last_updated":"2019-01-13T17:26:11Z","snapshot_observed_at":"2026-08-14T17:31:41.244745Z","submitted_at":"2019-01-13T17:26:11Z","title":"Modeling neural dynamics during speech production using a state space variational autoencoder","version":1},"cited_work":{"arxiv_id":"1901.04024","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.04024","snapshot_observed_at":"2026-08-14T05:22:43.469883Z","title":"Modeling neural dynamics during speech production using a state space variational autoencoder","venue":"cs.NE","work_id":"fcdac44e-b4df-4256-9ac9-f6d85121b478","year":2019},"citing_paper":{"arxiv_id":"1909.01401","last_updated":"2019-09-03T18:54:43Z","snapshot_observed_at":"2026-08-15T01:47:34.366925Z","submitted_at":"2019-09-03T18:54:43Z","title":"Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T05:22:43.416844Z"},"links":{"cited_paper":"/paper/1901.04024","citing_paper":"/paper/1909.01401"},"observation_digest":"sha256:ec0224fcf2321ab333a95406ad88a279422a2e3a9585275c70feb35e5c08db2d","observation_id":"25708d22-9c8d-497a-a4c7-0c866a537d98","resolution":{"observed_at":"2026-08-14T05:22:43.477476Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1901.04024/citation-record","integrity":"/paper/1901.04024/integrity","json":"/paper/1901.04024/citation-record.json","paper":"/paper/1901.04024"},"outbound":[],"paper":{"arxiv_id":"1901.04024","last_updated":"2019-01-13T17:26:11Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-14T17:31:41.244745Z","submitted_at":"2019-01-13T17:26:11Z","title":"Modeling neural dynamics during speech production using a state space variational autoencoder"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1901.04024."}