{"as_of":"2026-08-18T08:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dba7d10722adf5ced7a34b5d487ea176d601b1d30182a464cecac72fc3d50a84","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":"2026-08-18T06:34:40.430872+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":"2026-08-12T12:12:25.268393Z","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":"2026-08-12T12:12:25.611460Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.12731","last_updated":"2023-06-12T07:55:18Z","snapshot_observed_at":"2026-08-16T16:06:11.791242Z","submitted_at":"2022-12-24T12:59:41Z","title":"Forecasting through deep learning and modal decomposition in two-phase concentric jets","version":3},"cited_work":{"arxiv_id":"2212.12731","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.12731","snapshot_observed_at":"2026-08-12T12:12:25.611460Z","title":"Forecasting through deep learning and modal decomposition in two-phase concentric jets","venue":"cs.LG","work_id":"fd7579a9-680c-4b8b-86a8-ecf35fd4a191","year":2022},"citing_paper":{"arxiv_id":"2411.17433","last_updated":"2024-11-26T13:43:50Z","snapshot_observed_at":"2026-08-17T22:37:48.113282Z","submitted_at":"2024-11-26T13:43:50Z","title":"LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T12:12:25.268393Z"},"links":{"cited_paper":"/paper/2212.12731","citing_paper":"/paper/2411.17433"},"observation_digest":"sha256:e87f1f8817ebfb5c87af8b2df873654c1392ebc9b9b7e4cef4ee74cc87a0e760","observation_id":"0ce5d232-3946-4451-b883-3bb4c15cf59a","resolution":{"observed_at":"2026-08-12T12:12:25.616283Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.12731/citation-record","integrity":"/paper/2212.12731/integrity","json":"/paper/2212.12731/citation-record.json","paper":"/paper/2212.12731"},"outbound":[],"paper":{"arxiv_id":"2212.12731","last_updated":"2023-06-12T07:55:18Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T16:06:11.791242Z","submitted_at":"2022-12-24T12:59:41Z","title":"Forecasting through deep learning and modal decomposition in two-phase concentric jets"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.12731."}