{"as_of":"2026-08-10T11:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8a77d45f42493d4537998e1c5a66be24ecb4a82bc93e616aa7f5c9e14210defc","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T15:13:16.537702Z","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":"2026-08-07T15:13:21.915936Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.17298","last_updated":"2024-08-30T13:55:19Z","snapshot_observed_at":"2026-08-10T03:35:25.051673Z","submitted_at":"2024-08-30T13:55:19Z","title":"Accelerating the discovery of steady-states of planetary interior dynamics with machine learning","version":1},"cited_work":{"arxiv_id":"2408.17298","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.17298","snapshot_observed_at":"2026-08-07T15:13:21.915936Z","title":"Accelerating the discovery of steady-states of planetary interior dynamics with machine learning","venue":"physics.flu-dyn","work_id":"f031b004-3ae7-42f4-87bb-05af8e9013b5","year":2024},"citing_paper":{"arxiv_id":"2505.16041","last_updated":"2025-05-21T21:47:43Z","snapshot_observed_at":"2026-08-10T03:35:41.243079Z","submitted_at":"2025-05-21T21:47:43Z","title":"Physics-based machine learning for mantle convection simulations","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T15:13:16.537702Z"},"links":{"cited_paper":"/paper/2408.17298","citing_paper":"/paper/2505.16041"},"observation_digest":"sha256:a885cda565a19b0d66f0d361e6b7b723399cb8147e3d5f29c81214c563fabc3e","observation_id":"0194e07f-5cfa-4e30-9ccb-d95de5004344","resolution":{"observed_at":"2026-08-07T15:13:21.923938Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.17298/citation-record","integrity":"/paper/2408.17298/integrity","json":"/paper/2408.17298/citation-record.json","paper":"/paper/2408.17298"},"outbound":[],"paper":{"arxiv_id":"2408.17298","last_updated":"2024-08-30T13:55:19Z","latest_version":1,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-10T03:35:25.051673Z","submitted_at":"2024-08-30T13:55:19Z","title":"Accelerating the discovery of steady-states of planetary interior dynamics with machine learning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.17298."}