{"as_of":"2026-08-10T23:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9618dacee667a61b3786eac27eb1b396ba9a3efd1f3c6620a15d4b972b550e87","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":"2026-08-10T06:31:04.303077+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":"2026-05-16T23:23:44.658505Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T23:28:41.062411Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.15656","last_updated":"2024-03-15T06:47:48Z","snapshot_observed_at":"2026-08-09T12:02:22.472398Z","submitted_at":"2024-02-24T00:10:51Z","title":"Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation","version":2},"cited_work":{"arxiv_id":"2402.15656","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.15656","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Louise J Slater, Louise Arnal, Marie-Am ´elie Boucher, Annie Y-Y Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, et al","venue":null,"work_id":"032a7efc-16fe-43de-86e0-8eb6793184f2","year":null},"citing_paper":{"arxiv_id":"2512.12116","last_updated":"2026-05-08T01:30:43Z","snapshot_observed_at":"2026-08-07T07:27:09.988900Z","submitted_at":"2025-12-13T01:17:05Z","title":"Neural CDEs as Correctors for Learned Time Series Models","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-16T23:23:44.658505Z"},"links":{"cited_paper":"/paper/2402.15656","citing_paper":"/paper/2512.12116"},"observation_digest":"sha256:bebdf056f87d7e6e6de31239a3715a6a2a718d4fc473566e5f3a6dfa74411b28","observation_id":"8d1112bd-e4f3-44a5-9e9a-01aa3af9b46b","resolution":{"observed_at":"2026-05-16T23:28:41.064586Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.15656/citation-record","integrity":"/paper/2402.15656/integrity","json":"/paper/2402.15656/citation-record.json","paper":"/paper/2402.15656"},"outbound":[],"paper":{"arxiv_id":"2402.15656","last_updated":"2024-03-15T06:47:48Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T12:02:22.472398Z","submitted_at":"2024-02-24T00:10:51Z","title":"Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.15656."}