{"as_of":"2026-08-13T06:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d8e5519b1d411a0a971e4b994077d75032f83bd176c5cdb0aa042e41aefe4093","coverage":[{"denominator":2,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T02:52:59.605290Z","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":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.09461/citation-record","integrity":"/paper/2607.09461/integrity","json":"/paper/2607.09461/citation-record.json","paper":"/paper/2607.09461"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.14802","last_updated":"2023-03-26T19:42:16Z","snapshot_observed_at":"2026-08-12T12:42:43.559752Z","submitted_at":"2023-03-26T19:42:16Z","title":"Economics-Inspired Neural Networks with Stabilizing Homotopies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14802","snapshot_observed_at":"2026-07-13T02:52:59.605290Z","title":"M., Xu, Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.09461","last_updated":"2026-07-10T14:36:28Z","snapshot_observed_at":"2026-08-02T11:43:09.034268Z","submitted_at":"2026-07-10T14:36:28Z","title":"Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T02:52:59.605290Z"},"links":{"cited_paper":"/paper/2303.14802","citing_paper":"/paper/2607.09461"},"observation_digest":"sha256:6aa21716282aca2122a034a4644c7f1d2f6cec0adf0881327ad5f6bfa502814b","observation_id":"87524e6b-1780-4389-bc26-0ae16b5e799c","resolution":{"observed_at":"2026-07-13T02:52:59.605290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.09032","last_updated":"2023-05-24T04:44:24Z","snapshot_observed_at":"2026-08-07T16:39:08.462934Z","submitted_at":"2021-11-17T10:55:15Z","title":"Optimal consumption and portfolio selection with Epstein-Zin utility under general constraints","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.09032","snapshot_observed_at":"2026-07-13T02:52:59.605290Z","title":"and Wang, T","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.09461","last_updated":"2026-07-10T14:36:28Z","snapshot_observed_at":"2026-08-02T11:43:09.034268Z","submitted_at":"2026-07-10T14:36:28Z","title":"Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T02:52:59.605290Z"},"links":{"cited_paper":"/paper/2111.09032","citing_paper":"/paper/2607.09461"},"observation_digest":"sha256:6b58d3162ea5d76a5da97bb27ba728589e5e5fd19041211ebcf31411ba5a8533","observation_id":"e493edb4-7a09-425c-b6e7-4eb797c0ef63","resolution":{"observed_at":"2026-07-13T02:52:59.605290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.09461","last_updated":"2026-07-10T14:36:28Z","latest_version":1,"primary_category":"q-fin.CP","snapshot_observed_at":"2026-08-02T11:43:09.034268Z","submitted_at":"2026-07-10T14:36:28Z","title":"Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions"},"reference_resolution":{"displayed":2,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":2},"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 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2607.09461."}