{"as_of":"2026-08-20T07:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:54e6be77a4c968a61ba37cef51c7992233ddb5d6513bd911bccc4928d5d85bb3","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":"2026-08-20T06:33:59.587034+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":"2026-07-13T06:20:04.707661Z","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":"2005.12276","last_updated":"2020-05-25T18:00:00Z","snapshot_observed_at":"2026-08-03T19:24:33.607799Z","submitted_at":"2020-05-25T18:00:00Z","title":"GalaxyNet: Connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.12276","snapshot_observed_at":"2026-07-13T06:20:04.707661Z","title":", keywords =","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.08846","last_updated":"2026-07-09T18:11:36Z","snapshot_observed_at":"2026-08-17T04:17:42.426140Z","submitted_at":"2026-07-09T18:11:36Z","title":"mitigating the overcooling problem with sink-based bursty star formation in a high-z dwarf galaxy","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-13T06:20:04.707661Z"},"links":{"cited_paper":"/paper/2005.12276","citing_paper":"/paper/2607.08846"},"observation_digest":"sha256:e1fc8b6d0726b1dae4cc115b623a39cdb6cea1627f14a4b40ebc562ba5c3a906","observation_id":"d28837c0-0e90-4e11-87b9-7f0453fd3847","resolution":{"observed_at":"2026-07-13T06:20:04.707661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2005.12276/citation-record","integrity":"/paper/2005.12276/integrity","json":"/paper/2005.12276/citation-record.json","paper":"/paper/2005.12276"},"outbound":[],"paper":{"arxiv_id":"2005.12276","last_updated":"2020-05-25T18:00:00Z","latest_version":1,"primary_category":"astro-ph.GA","snapshot_observed_at":"2026-08-03T19:24:33.607799Z","submitted_at":"2020-05-25T18:00:00Z","title":"GalaxyNet: Connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2005.12276."}