{"as_of":"2026-08-13T01:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4166edb88c3b156d22130c52bb7804472c30853bc751e34a5e3de637536390ea","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:09:00.014900Z","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":"2026-05-20T22:23:48.178603Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.01982","last_updated":"2026-07-29T15:14:39Z","snapshot_observed_at":"2026-08-12T22:08:25.304461Z","submitted_at":"2024-11-04T11:09:58Z","title":"Learning Controlled Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01982","snapshot_observed_at":"2026-08-07T13:09:00.014900Z","title":"Learning controlled stochastic differential equations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22646","last_updated":"2025-05-28T17:56:53Z","snapshot_observed_at":"2026-08-10T00:53:42.248814Z","submitted_at":"2025-05-28T17:56:53Z","title":"Path-Dependent SDEs: Solutions and Parameter Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:09:00.014900Z"},"links":{"cited_paper":"/paper/2411.01982","citing_paper":"/paper/2505.22646"},"observation_digest":"sha256:ff97db1811a8b981920e127357266ee55ee28df82c558d70b7ace84184e8d81f","observation_id":"3a8ecb1a-1a4f-46bc-8768-734268ec01d9","resolution":{"observed_at":"2026-08-07T13:09:00.014900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01982","last_updated":"2026-07-29T15:14:39Z","snapshot_observed_at":"2026-08-12T22:08:25.304461Z","submitted_at":"2024-11-04T11:09:58Z","title":"Learning Controlled Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":"2411.01982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.01982","snapshot_observed_at":"2026-07-30T01:18:45.360250Z","title":"arXiv preprint arXiv:2411.01982 , year=","venue":null,"work_id":"3f74d0c4-df8e-4906-b8ee-286672bc8f5a","year":null},"citing_paper":{"arxiv_id":"2605.08550","last_updated":"2026-05-16T02:31:48Z","snapshot_observed_at":"2026-08-12T12:26:02.413866Z","submitted_at":"2026-05-08T23:21:17Z","title":"A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-12T01:20:12.816671Z"},"links":{"cited_paper":"/paper/2411.01982","citing_paper":"/paper/2605.08550"},"observation_digest":"sha256:87691c31d75db6272f611314c272c3ef51ea7f257326e3df5a1ca9530adf1a01","observation_id":"ab3eeeb8-7495-4c61-bca4-b4d7621aeeca","resolution":{"observed_at":"2026-07-30T01:18:45.360250Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01982","last_updated":"2026-07-29T15:14:39Z","snapshot_observed_at":"2026-08-12T22:08:25.304461Z","submitted_at":"2024-11-04T11:09:58Z","title":"Learning Controlled Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":"2411.01982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.01982","snapshot_observed_at":"2026-07-30T01:18:45.360250Z","title":"arXiv preprint arXiv:2411.01982 , year=","venue":null,"work_id":"3f74d0c4-df8e-4906-b8ee-286672bc8f5a","year":null},"citing_paper":{"arxiv_id":"2605.08550","last_updated":"2026-05-16T02:31:48Z","snapshot_observed_at":"2026-08-12T12:26:02.413866Z","submitted_at":"2026-05-08T23:21:17Z","title":"A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-14T20:49:26.890463Z"},"links":{"cited_paper":"/paper/2411.01982","citing_paper":"/paper/2605.08550"},"observation_digest":"sha256:8c287246174a944e271dedf494b843882b19036a370fb0af32fac92c59641d86","observation_id":"eb991707-68f3-4307-8674-df267849a2e8","resolution":{"observed_at":"2026-07-30T01:18:45.360250Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01982","last_updated":"2026-07-29T15:14:39Z","snapshot_observed_at":"2026-08-12T22:08:25.304461Z","submitted_at":"2024-11-04T11:09:58Z","title":"Learning Controlled Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":"2411.01982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.01982","snapshot_observed_at":"2026-07-30T01:18:45.360250Z","title":"arXiv preprint arXiv:2411.01982 , year=","venue":null,"work_id":"3f74d0c4-df8e-4906-b8ee-286672bc8f5a","year":null},"citing_paper":{"arxiv_id":"2605.08550","last_updated":"2026-05-16T02:31:48Z","snapshot_observed_at":"2026-08-12T12:26:02.413866Z","submitted_at":"2026-05-08T23:21:17Z","title":"A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots","version":3},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-20T22:20:03.150386Z"},"links":{"cited_paper":"/paper/2411.01982","citing_paper":"/paper/2605.08550"},"observation_digest":"sha256:db3be662d3b4eb80b880bbb45f594eef9d1027e8bc7c32b1f8b9ff3e8ebd6a52","observation_id":"2afb19cc-1489-4e4e-bcd2-0a7137be764a","resolution":{"observed_at":"2026-07-30T01:18:45.360250Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.01982/citation-record","integrity":"/paper/2411.01982/integrity","json":"/paper/2411.01982/citation-record.json","paper":"/paper/2411.01982"},"outbound":[],"paper":{"arxiv_id":"2411.01982","last_updated":"2026-07-29T15:14:39Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-12T22:08:25.304461Z","submitted_at":"2024-11-04T11:09:58Z","title":"Learning Controlled 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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.01982."}