{"as_of":"2026-08-09T21:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:75b35054d23aba5fead3ae7973729653ca788c320fa9298bd7c95db4a92acfff","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T04:45:19.846815Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12528","snapshot_observed_at":"2026-08-07T04:45:19.846815Z","title":"2023, arXiv e-prints, arXiv:2310.12528, doi: 10.48550/arXiv.2310.12528","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09778","last_updated":"2025-09-08T09:08:12Z","snapshot_observed_at":"2026-08-07T04:38:14.101655Z","submitted_at":"2025-06-11T14:18:39Z","title":"The ATLAS Virtual Research Assistant","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:45:19.846815Z"},"links":{"cited_paper":"/paper/2310.12528","citing_paper":"/paper/2506.09778"},"observation_digest":"sha256:bea359d7720e553e0673fdc0655d2ee9682e913154ec8f8074c76512084731be","observation_id":"139ab54c-fefa-4036-a9a4-26f13e908acb","resolution":{"observed_at":"2026-08-07T04:45:19.846815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T18:49:01.720526Z","title":"2023, Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07257","last_updated":"2025-07-11T14:43:29Z","snapshot_observed_at":"2026-08-09T13:06:17.785961Z","submitted_at":"2025-07-09T20:03:30Z","title":"Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:49:01.720526Z"},"links":{"cited_paper":"/paper/2310.12528","citing_paper":"/paper/2507.07257"},"observation_digest":"sha256:69736645c0d2b1aadeced2afaeeacac60d4f3df59797152fdae5029e46df7e7c","observation_id":"deccf271-0895-4d48-9468-55d15edeea8f","resolution":{"observed_at":"2026-08-06T18:49:01.720526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"sha256:91a7eeb9a8b2fa2b95a37f52a7a60a61babd64aa33889731cc7d3eaeb9617daf","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:39:09.497800Z","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":"sha256:486cd0b1c7aae48a20955de35af1904858dd93421abaea5530a996e4c098e9da","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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.12528."}