{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:NARBVTON2DDSMUHOPUWUHYKFRI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"586b176e4eee3839d192dd78223d878da0205e2650a9908d5dd71a20b05885b8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-12-24T03:25:36Z","title_canon_sha256":"13388eb1433adc3b12e92a4d69fb8790bebb6c3c56fc8d07fceab9d6bf8ad25d"},"schema_version":"1.0","source":{"id":"2012.13083","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.13083","created_at":"2026-07-05T04:35:55Z"},{"alias_kind":"arxiv_version","alias_value":"2012.13083v2","created_at":"2026-07-05T04:35:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.13083","created_at":"2026-07-05T04:35:55Z"},{"alias_kind":"pith_short_12","alias_value":"NARBVTON2DDS","created_at":"2026-07-05T04:35:55Z"},{"alias_kind":"pith_short_16","alias_value":"NARBVTON2DDSMUHO","created_at":"2026-07-05T04:35:55Z"},{"alias_kind":"pith_short_8","alias_value":"NARBVTON","created_at":"2026-07-05T04:35:55Z"}],"graph_snapshots":[{"event_id":"sha256:88ff31c81a3e145339e12170bd4e8b24ce4ed3247cf7d5d1758c5ba6f26d3620","target":"graph","created_at":"2026-07-05T04:35:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2012.13083/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sky surveys are the largest data generators in astronomy, making automated tools for extracting meaningful scientific information an absolute necessity. We show that, without the need for labels, self-supervised learning recovers representations of sky survey images that are semantically useful for a variety of scientific tasks. These representations can be directly used as features, or fine-tuned, to outperform supervised methods trained only on labeled data. We apply a contrastive learning framework on multi-band galaxy photometry from the Sloan Digital Sky Survey (SDSS) to learn image repre","authors_text":"George Stein, Md Abul Hayat, Mustafa Mustafa, Peter Harrington, Zarija Luki\\'c","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-12-24T03:25:36Z","title":"Self-Supervised Representation Learning for Astronomical Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.13083","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:67410cecde2438ad3c66481b7dae48ebe5172f443c9450a428c46d6df90818b5","target":"record","created_at":"2026-07-05T04:35:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"586b176e4eee3839d192dd78223d878da0205e2650a9908d5dd71a20b05885b8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2020-12-24T03:25:36Z","title_canon_sha256":"13388eb1433adc3b12e92a4d69fb8790bebb6c3c56fc8d07fceab9d6bf8ad25d"},"schema_version":"1.0","source":{"id":"2012.13083","kind":"arxiv","version":2}},"canonical_sha256":"68221acdcdd0c72650ee7d2d43e1458a0f06d83dc26b0d39c54fe8a86344d53b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68221acdcdd0c72650ee7d2d43e1458a0f06d83dc26b0d39c54fe8a86344d53b","first_computed_at":"2026-07-05T04:35:55.676583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:35:55.676583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iN4t+YIz8PZ/CPMj+q5n6Ljab5UWafz8YjI3LjJ+YdGm188DEui4IUVvhE3CqexsyiwtMTRi+s0ahfLHZZchDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:35:55.677031Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.13083","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67410cecde2438ad3c66481b7dae48ebe5172f443c9450a428c46d6df90818b5","sha256:88ff31c81a3e145339e12170bd4e8b24ce4ed3247cf7d5d1758c5ba6f26d3620"],"state_sha256":"bd96454a95b5cb39f4265daabc228bad5feb913fea2e9cea2649fc5ed6e1587c"}