{"as_of":"2026-08-22T13:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a42519887370a408d990ea08e734304cd338d29325b45291b5cc174d4b9fca77","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":"2026-08-16T04:57:26.454055Z","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":"2026-08-16T04:57:26.536487Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.12537","last_updated":"2019-12-03T16:20:24Z","snapshot_observed_at":"2026-08-04T09:06:10.955039Z","submitted_at":"2019-09-27T07:46:28Z","title":"Fast shared response model for fMRI data","version":2},"cited_work":{"arxiv_id":"1909.12537","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.12537","snapshot_observed_at":"2026-08-16T04:57:26.536487Z","title":"Fast shared response model for fMRI data","venue":"cs.CV","work_id":"861ff1d5-6195-4c31-b32d-1ba45fa8bdca","year":2019},"citing_paper":{"arxiv_id":"2505.00196","last_updated":"2025-04-30T21:40:54Z","snapshot_observed_at":"2026-08-21T14:53:21.725272Z","submitted_at":"2025-04-30T21:40:54Z","title":"Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T04:57:26.454055Z"},"links":{"cited_paper":"/paper/1909.12537","citing_paper":"/paper/2505.00196"},"observation_digest":"sha256:435056beab3eac6ef2ecb937c409e412474c903ec8644cffb795601427f6740c","observation_id":"d8be6006-79c6-4da1-a080-59f106bab94d","resolution":{"observed_at":"2026-08-16T04:57:26.544331Z","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/1909.12537/citation-record","integrity":"/paper/1909.12537/integrity","json":"/paper/1909.12537/citation-record.json","paper":"/paper/1909.12537"},"outbound":[],"paper":{"arxiv_id":"1909.12537","last_updated":"2019-12-03T16:20:24Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T09:06:10.955039Z","submitted_at":"2019-09-27T07:46:28Z","title":"Fast shared response model for fMRI 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":"2026-08-22T06:32:14.747728+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:1909.12537."}