{"as_of":"2026-08-12T21:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07f33dd4ba4bfa7aa6e835ec4ad417b092ba8a387aebd189692f89f5fa7bdfa1","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":"2026-08-12T06:34:41.77262+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":"2026-08-01T20:04:14.842180Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2503.04585","last_updated":"2025-03-06T16:22:19Z","snapshot_observed_at":"2026-08-07T17:24:15.596002Z","submitted_at":"2025-03-06T16:22:19Z","title":"Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04585","snapshot_observed_at":"2026-08-01T20:04:14.842180Z","title":"2018, ApJ, 853, 140 Santos Pereira, M., Tripa, L., Lima, N., Caldas, F., & Soares, C","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.16776","last_updated":"2026-07-18T11:21:30Z","snapshot_observed_at":"2026-08-02T03:20:12.535064Z","submitted_at":"2026-07-18T11:21:30Z","title":"Machine learning prediction of binary formation in three-body gravitational encounters","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T20:04:14.842180Z"},"links":{"cited_paper":"/paper/2503.04585","citing_paper":"/paper/2607.16776"},"observation_digest":"sha256:ad41107c6491c16855a76520be635d08735826939b9a9e611bcadd42c63996ed","observation_id":"175f5194-eb1f-4b48-9842-a2d9b5627c0d","resolution":{"observed_at":"2026-08-01T20:04:14.842180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04585","last_updated":"2025-03-06T16:22:19Z","snapshot_observed_at":"2026-08-07T17:24:15.596002Z","submitted_at":"2025-03-06T16:22:19Z","title":"Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04585","snapshot_observed_at":"2026-07-30T20:43:14.010318Z","title":"Advancing solutions for the three-body problem through physics-informed neural networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23501","last_updated":"2026-07-26T07:07:29Z","snapshot_observed_at":"2026-07-30T23:55:44.068986Z","submitted_at":"2026-07-26T07:07:29Z","title":"Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-30T20:43:14.010318Z"},"links":{"cited_paper":"/paper/2503.04585","citing_paper":"/paper/2607.23501"},"observation_digest":"sha256:cfe8afecb4b7d14264ce78b48a4ec0625f745454079275267fedc04971830306","observation_id":"c9460ad0-70bd-45b2-a632-862542e56b9d","resolution":{"observed_at":"2026-07-30T20:43:14.010318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.04585/citation-record","integrity":"/paper/2503.04585/integrity","json":"/paper/2503.04585/citation-record.json","paper":"/paper/2503.04585"},"outbound":[],"paper":{"arxiv_id":"2503.04585","last_updated":"2025-03-06T16:22:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T17:24:15.596002Z","submitted_at":"2025-03-06T16:22:19Z","title":"Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks"},"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 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.04585."}