{"as_of":"2026-08-15T11:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e517d4c44e41510716e300bd5b9b47eec2188fcfa4441f267ac82cbbf9c0b0e7","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":"2026-08-15T06:32:42.880941+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":"2026-08-11T23:24:36.247841Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.07618","last_updated":"2025-06-04T03:27:04Z","snapshot_observed_at":"2026-08-13T10:55:13.509031Z","submitted_at":"2023-07-14T20:25:14Z","title":"$\\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07618","snapshot_observed_at":"2026-08-11T23:24:36.247841Z","title":"Miller, Michael W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02527","last_updated":"2024-12-03T16:21:17Z","snapshot_observed_at":"2026-08-14T03:01:37.636092Z","submitted_at":"2024-12-03T16:21:17Z","title":"The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data","version":1},"reference_index":119,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:36.247841Z"},"links":{"cited_paper":"/paper/2307.07618","citing_paper":"/paper/2412.02527"},"observation_digest":"sha256:66c40184908c372ee653ff5c31f047273b26d845bfb99dd20754114fea46929b","observation_id":"587adf49-9899-4ab6-8b66-bb36dc78a119","resolution":{"observed_at":"2026-08-11T23:24:36.247841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07618","last_updated":"2025-06-04T03:27:04Z","snapshot_observed_at":"2026-08-13T10:55:13.509031Z","submitted_at":"2023-07-14T20:25:14Z","title":"$\\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility","version":2},"cited_work":{"arxiv_id":"2307.07618","doi":"10.48550/arxiv.2307.07618","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07618","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A., Coughlin , M","venue":"arXiv (Cornell University)","work_id":"7d87a00d-3e5c-4e5e-a290-80a255ea3f97","year":2023},"citing_paper":{"arxiv_id":"2604.07573","last_updated":"2026-04-28T20:54:04Z","snapshot_observed_at":"2026-08-11T18:22:16.108243Z","submitted_at":"2026-04-08T20:23:10Z","title":"The ZTF-ULTRASAT experiment: Characterizing the non-transients in ULTRASAT's high cadence survey","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-10T17:08:31.910551Z"},"links":{"cited_paper":"/paper/2307.07618","citing_paper":"/paper/2604.07573"},"observation_digest":"sha256:9c53657223ef4edd0bc6c0ef9a674c2eefa48c3a19d726f4368fa4d7707d6b37","observation_id":"041dbe39-f84c-4389-b433-cd633ce09939","resolution":{"observed_at":"2026-05-10T21:10:47.198955Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.07618/citation-record","integrity":"/paper/2307.07618/integrity","json":"/paper/2307.07618/citation-record.json","paper":"/paper/2307.07618"},"outbound":[],"paper":{"arxiv_id":"2307.07618","last_updated":"2025-06-04T03:27:04Z","latest_version":2,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-13T10:55:13.509031Z","submitted_at":"2023-07-14T20:25:14Z","title":"$\\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.07618."}