{"as_of":"2026-08-08T17:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e2b4ff1ed43464a828f6f3ca74036b5c87f6a28051b30a3c78a183a51896228","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T14:48:27.883687Z","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":"2026-08-06T14:48:29.289163Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.08072","last_updated":"2023-12-13T11:30:57Z","snapshot_observed_at":"2026-07-06T17:01:00.985811Z","submitted_at":"2023-12-13T11:30:57Z","title":"An approximate operator-based learning method for the numerical solutions of stochastic differential equations","version":1},"cited_work":{"arxiv_id":"2312.08072","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.08072","snapshot_observed_at":"2026-08-06T14:48:29.289163Z","title":"An approximate operator-based learning method for the numerical solutions of stochastic differential equations","venue":"math.ST","work_id":"3f289b3e-000b-472b-a829-aedd9ffbcbc2","year":2023},"citing_paper":{"arxiv_id":"2507.17887","last_updated":"2025-07-23T19:30:34Z","snapshot_observed_at":"2026-08-08T15:58:38.561064Z","submitted_at":"2025-07-23T19:30:34Z","title":"Fourier Neural Operators for Non-Markovian Processes:Approximation Theorems and Experiments","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T14:48:27.883687Z"},"links":{"cited_paper":"/paper/2312.08072","citing_paper":"/paper/2507.17887"},"observation_digest":"sha256:11d2abb899bf5b7bec6d41a780c34903d4892c0f98886a49db573643b6b42292","observation_id":"738d9087-11fa-4f1e-a63a-3aa5a5234a1d","resolution":{"observed_at":"2026-08-06T14:48:29.362281Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.08072/citation-record","integrity":"/paper/2312.08072/integrity","json":"/paper/2312.08072/citation-record.json","paper":"/paper/2312.08072"},"outbound":[],"paper":{"arxiv_id":"2312.08072","last_updated":"2023-12-13T11:30:57Z","latest_version":1,"primary_category":"math.ST","snapshot_observed_at":"2026-07-06T17:01:00.985811Z","submitted_at":"2023-12-13T11:30:57Z","title":"An approximate operator-based learning method for the numerical solutions of stochastic differential equations"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2312.08072."}