{"as_of":"2026-08-15T15:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:313ed100b678f654231615297bbaf86c4219143500bffbcfd25bc95eca68a491","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":"2026-08-15T06:32:42.880941+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":"2026-08-06T19:42:57.996901Z","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":"2026-05-23T01:12:20.514165Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.11354","last_updated":"2024-01-21T00:54:50Z","snapshot_observed_at":"2026-08-13T04:38:30.434953Z","submitted_at":"2024-01-21T00:54:50Z","title":"Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations","version":1},"cited_work":{"arxiv_id":"2401.11354","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.11354","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8aa013a8-5dfc-4cc5-834b-cd89c376834f","year":2024},"citing_paper":{"arxiv_id":"2503.09007","last_updated":"2025-03-12T02:50:13Z","snapshot_observed_at":"2026-08-02T23:34:26.606057Z","submitted_at":"2025-03-12T02:50:13Z","title":"Reconstructing Noisy Gene Regulation Dynamics Using Extrinsic-Noise-Driven Neural Stochastic Differential Equations","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-23T01:11:13.872968Z"},"links":{"cited_paper":"/paper/2401.11354","citing_paper":"/paper/2503.09007"},"observation_digest":"sha256:5facee5baf2e0a5b251e16c8b0876ce4bb160f3f682a5c4a581dd25921a653e0","observation_id":"a2c22e36-a41f-4508-9dd5-36d5af856fb3","resolution":{"observed_at":"2026-05-23T01:12:20.516453Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11354","last_updated":"2024-01-21T00:54:50Z","snapshot_observed_at":"2026-08-13T04:38:30.434953Z","submitted_at":"2024-01-21T00:54:50Z","title":"Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11354","snapshot_observed_at":"2026-08-06T19:42:57.996901Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05143","last_updated":"2025-07-07T15:53:13Z","snapshot_observed_at":"2026-08-10T23:31:22.063532Z","submitted_at":"2025-07-07T15:53:13Z","title":"A generalized Wasserstein-2 distance approach for efficient reconstruction of random field models using stochastic neural networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:57.996901Z"},"links":{"cited_paper":"/paper/2401.11354","citing_paper":"/paper/2507.05143"},"observation_digest":"sha256:585d932fead120ac200a7524880929bd2756fd3db6632a31d9c127a61715c9f1","observation_id":"482ecdc0-37b4-47a3-bc81-ae7f26a73cd7","resolution":{"observed_at":"2026-08-06T19:42:57.996901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.11354/citation-record","integrity":"/paper/2401.11354/integrity","json":"/paper/2401.11354/citation-record.json","paper":"/paper/2401.11354"},"outbound":[],"paper":{"arxiv_id":"2401.11354","last_updated":"2024-01-21T00:54:50Z","latest_version":1,"primary_category":"math.PR","snapshot_observed_at":"2026-08-13T04:38:30.434953Z","submitted_at":"2024-01-21T00:54:50Z","title":"Squared Wasserstein-2 Distance for Efficient Reconstruction 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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11354."}