{"as_of":"2026-08-13T07:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f5d6c5b9242291fef6a43beb3d3bb6c7fbb452df929533a4a44ace0334051b5e","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T22:29:37.456842Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.11327","last_updated":"2024-01-20T21:16:32Z","snapshot_observed_at":"2026-08-13T04:38:31.914755Z","submitted_at":"2024-01-20T21:16:32Z","title":"Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks","version":1},"cited_work":{"arxiv_id":"2401.11327","doi":"10.48550/arxiv.2401.11327","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.11327","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks","venue":"arXiv (Cornell University)","work_id":"764d9d68-e392-4460-9fa5-e5c994004d41","year":2024},"citing_paper":{"arxiv_id":"2409.15835","last_updated":"2024-09-24T08:03:17Z","snapshot_observed_at":"2026-07-06T19:20:59.607725Z","submitted_at":"2024-09-24T08:03:17Z","title":"Measures and Models of Brain-Heart Interactions","version":1},"reference_index":143,"source":"pdf_text","source_observed_at":"2026-05-23T21:10:14.071273Z"},"links":{"cited_paper":"/paper/2401.11327","citing_paper":"/paper/2409.15835"},"observation_digest":"sha256:282773b7233c6fcf769dc99c7e4b1c53f3803db03e90827b5e932967e6930ec2","observation_id":"b90e857e-a537-4fcc-8f4e-585d5eb728c5","resolution":{"observed_at":"2026-05-23T21:13:26.856496Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11327","last_updated":"2024-01-20T21:16:32Z","snapshot_observed_at":"2026-08-13T04:38:31.914755Z","submitted_at":"2024-01-20T21:16:32Z","title":"Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11327","snapshot_observed_at":"2026-08-08T22:29:37.456842Z","title":"Sparacino, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04555","last_updated":"2025-06-28T08:56:31Z","snapshot_observed_at":"2026-08-12T20:41:54.100085Z","submitted_at":"2025-02-06T23:06:49Z","title":"Decomposing Multivariate Information Rates in Networks of Random Processes","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-08T22:29:37.456842Z"},"links":{"cited_paper":"/paper/2401.11327","citing_paper":"/paper/2502.04555"},"observation_digest":"sha256:367ac50ac9b2295068755da78a6eadb92cfe0c13d121b37b0a70b573b97b3607","observation_id":"1250b71a-2dd5-45be-ab80-9d2898854334","resolution":{"observed_at":"2026-08-08T22:29:37.456842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.11327/citation-record","integrity":"/paper/2401.11327/integrity","json":"/paper/2401.11327/citation-record.json","paper":"/paper/2401.11327"},"outbound":[],"paper":{"arxiv_id":"2401.11327","last_updated":"2024-01-20T21:16:32Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-13T04:38:31.914755Z","submitted_at":"2024-01-20T21:16:32Z","title":"Measuring hierarchically-organized interactions in dynamic networks through spectral entropy rates: theory, estimation, and illustrative application to physiological networks"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11327."}