{"as_of":"2026-08-05T17:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9299973bde31b1326dc7b6d82ecfe44c8646df388de051e12ffbc11ddf1a6f6a","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":"2026-08-05T06:32:48.257954+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":"2026-08-04T05:08:03.718544Z","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":"2026-05-18T12:46:24.404844Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.12528","last_updated":"2023-10-19T07:04:36Z","snapshot_observed_at":"2026-08-05T02:55:58.444397Z","submitted_at":"2023-10-19T07:04:36Z","title":"Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers","version":1},"cited_work":{"arxiv_id":"2310.12528","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.12528","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023, arXiv e-prints","venue":null,"work_id":"eef12263-9a77-40da-a529-46c38197bc09","year":2023},"citing_paper":{"arxiv_id":"2509.24954","last_updated":"2025-09-29T15:47:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-29T15:47:26Z","title":"Stellar flare detection in XMM-Newton with gradient boosted trees","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-18T12:43:01.484659Z"},"links":{"cited_paper":"/paper/2310.12528","citing_paper":"/paper/2509.24954"},"observation_digest":"sha256:8c1eb0893f591b153c43ba9b1a635146ce7fe05af2f5895ff01bbd21fd151f4e","observation_id":"ae18ea96-0ee9-44e6-90dc-8e94838c701e","resolution":{"observed_at":"2026-05-18T12:46:24.407473Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12528","last_updated":"2023-10-19T07:04:36Z","snapshot_observed_at":"2026-08-05T02:55:58.444397Z","submitted_at":"2023-10-19T07:04:36Z","title":"Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12528","snapshot_observed_at":"2026-08-04T05:08:03.718544Z","title":"and Ntampaka, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02540","last_updated":"2026-08-03T17:28:42Z","snapshot_observed_at":"2026-08-05T16:26:20.459468Z","submitted_at":"2026-08-03T17:28:42Z","title":"You're Gonna Need a Bigger Core: Calibrating Massive Star Models against Galactic OB-type Stars","version":1},"reference_index":219,"source":"arxiv_source","source_observed_at":"2026-08-04T05:08:03.718544Z"},"links":{"cited_paper":"/paper/2310.12528","citing_paper":"/paper/2608.02540"},"observation_digest":"sha256:07d372a3c183d4c5110def00c737c535de2d8d2663b317b8c45f241d7869632b","observation_id":"3a3596b2-f585-4720-bae8-69f055d6ca4c","resolution":{"observed_at":"2026-08-04T05:08:03.718544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.12528/citation-record","integrity":"/paper/2310.12528/integrity","json":"/paper/2310.12528/citation-record.json","paper":"/paper/2310.12528"},"outbound":[],"paper":{"arxiv_id":"2310.12528","last_updated":"2023-10-19T07:04:36Z","latest_version":1,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-05T02:55:58.444397Z","submitted_at":"2023-10-19T07:04:36Z","title":"Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12528."}