{"as_of":"2026-08-12T08:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c5560fb199c117d3bf24e3247a97761bdedb3d4520ab511d23e7a4dcb34659d3","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":"2026-08-12T06:34:41.77262+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":"2026-08-04T09:45:59.075381Z","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":"2012.13083","last_updated":"2021-04-08T16:06:13Z","snapshot_observed_at":"2026-08-10T23:10:24.810772Z","submitted_at":"2020-12-24T03:25:36Z","title":"Self-Supervised Representation Learning for Astronomical Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.13083","snapshot_observed_at":"2026-08-03T06:20:59.516168Z","title":"A., Stein, G., Harrington, P., Luki´c, Z., & Mustafa, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.23013","last_updated":"2026-07-31T12:55:34Z","snapshot_observed_at":"2026-08-12T04:00:50.021540Z","submitted_at":"2026-01-30T14:22:55Z","title":"Contrastive learning of extragalactic stellar streams. Sculpting a latent space of representations with DES DR2 photometry","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T06:20:59.516168Z"},"links":{"cited_paper":"/paper/2012.13083","citing_paper":"/paper/2601.23013"},"observation_digest":"sha256:2f4adcc914da6b4315cd533cfcc3942fd96c982b5c5985dac5ee0891dcc06ff2","observation_id":"7292bc66-5d9b-49b9-b9e4-fcd07ef7860a","resolution":{"observed_at":"2026-08-03T06:20:59.516168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.13083","last_updated":"2021-04-08T16:06:13Z","snapshot_observed_at":"2026-08-10T23:10:24.810772Z","submitted_at":"2020-12-24T03:25:36Z","title":"Self-Supervised Representation Learning for Astronomical Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.13083","snapshot_observed_at":"2026-08-04T09:45:59.075381Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02300","last_updated":"2026-08-03T14:26:25Z","snapshot_observed_at":"2026-08-07T18:52:41.648309Z","submitted_at":"2026-08-03T14:26:25Z","title":"A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T09:45:59.075381Z"},"links":{"cited_paper":"/paper/2012.13083","citing_paper":"/paper/2608.02300"},"observation_digest":"sha256:672c2f98c2b530061c41da14b90671251a87cbf7f1e0754a38b15ffb84e657b0","observation_id":"d89919ed-bd15-4405-b6a8-5215e4b11951","resolution":{"observed_at":"2026-08-04T09:45:59.075381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2012.13083/citation-record","integrity":"/paper/2012.13083/integrity","json":"/paper/2012.13083/citation-record.json","paper":"/paper/2012.13083"},"outbound":[],"paper":{"arxiv_id":"2012.13083","last_updated":"2021-04-08T16:06:13Z","latest_version":2,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-08-10T23:10:24.810772Z","submitted_at":"2020-12-24T03:25:36Z","title":"Self-Supervised Representation Learning for Astronomical Images"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.13083."}