{"as_of":"2026-08-23T22:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6d4c5b9664daa5cfa926085df799783bfef4ed7ca7cffa72eb0ee5933064e667","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":"2026-08-23T06:30:58.430688+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":"2026-08-11T21:10:09.578601Z","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":"2026-08-11T21:10:10.747378Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.16845","last_updated":"2020-06-26T15:42:59Z","snapshot_observed_at":"2026-08-14T13:10:17.973047Z","submitted_at":"2020-06-26T15:42:59Z","title":"A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming","version":1},"cited_work":{"arxiv_id":"2006.16845","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.16845","snapshot_observed_at":"2026-08-11T21:10:10.747378Z","title":"A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming","venue":"eess.SP","work_id":"4fa06851-8dcf-4f81-8258-6c7f9dbcdd3f","year":2020},"citing_paper":{"arxiv_id":"2412.04950","last_updated":"2024-12-06T11:08:47Z","snapshot_observed_at":"2026-08-20T10:03:28.211827Z","submitted_at":"2024-12-06T11:08:47Z","title":"Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T21:10:09.578601Z"},"links":{"cited_paper":"/paper/2006.16845","citing_paper":"/paper/2412.04950"},"observation_digest":"sha256:86e96779e948ba98c018d69e9b68f9a0fd967738515993a1dee2310215782734","observation_id":"f1c84c6c-d0ec-4868-9e4b-42ba72291503","resolution":{"observed_at":"2026-08-11T21:10:10.752346Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2006.16845/citation-record","integrity":"/paper/2006.16845/integrity","json":"/paper/2006.16845/citation-record.json","paper":"/paper/2006.16845"},"outbound":[],"paper":{"arxiv_id":"2006.16845","last_updated":"2020-06-26T15:42:59Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-14T13:10:17.973047Z","submitted_at":"2020-06-26T15:42:59Z","title":"A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2006.16845."}