{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:UBJDF5UIAT5SGGCYXH7VX654I4","short_pith_number":"pith:UBJDF5UI","schema_version":"1.0","canonical_sha256":"a05232f68804fb231858b9ff5bfbbc472ef850b2273d0d60a2e1b5a7e75d35e4","source":{"kind":"arxiv","id":"2511.18590","version":1},"attestation_state":"computed","paper":{"title":"From Simulations to Surveys: Domain Adaptation for Galaxy Observations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","hep-th"],"primary_cat":"astro-ph.GA","authors_text":"Aditya Prasad Dash, Ahmed Salim, Kaley Brauer, Meet J. Vyas, Stiven Briand Massala","submitted_at":"2025-11-23T19:08:40Z","abstract_excerpt":"Large photometric surveys will image billions of galaxies, but we currently lack quick, reliable automated ways to infer their physical properties like morphology, stellar mass, and star formation rates. Simulations provide galaxy images with ground-truth physical labels, but domain shifts in PSF, noise, backgrounds, selection, and label priors degrade transfer to real surveys. We present a preliminary domain adaptation pipeline that trains on simulated TNG50 galaxies and evaluates on real SDSS galaxies with morphology labels (elliptical/spiral/irregular). We train three backbones (CNN, $E(2)$"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2511.18590","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2025-11-23T19:08:40Z","cross_cats_sorted":["cs.LG","hep-th"],"title_canon_sha256":"23574ab0d8cdfbccb2c4f92bb25251a8d95815636bd7fb4d0b725021f880d134","abstract_canon_sha256":"76afa11ae95e66177ecdd2809ec09f083f48ac33e8187ce4b25e30a6f81f0380"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:13.815844Z","signature_b64":"g1J+KS0j9sj2xdL1AyAorGeG0ttQGykSVJWY5cDrEgSUwZMgPnRzDgoA5tPQhp4iMokwj9qPXbhVlgfeG4j+DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a05232f68804fb231858b9ff5bfbbc472ef850b2273d0d60a2e1b5a7e75d35e4","last_reissued_at":"2026-06-09T02:07:13.814705Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:13.814705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Simulations to Surveys: Domain Adaptation for Galaxy Observations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","hep-th"],"primary_cat":"astro-ph.GA","authors_text":"Aditya Prasad Dash, Ahmed Salim, Kaley Brauer, Meet J. Vyas, Stiven Briand Massala","submitted_at":"2025-11-23T19:08:40Z","abstract_excerpt":"Large photometric surveys will image billions of galaxies, but we currently lack quick, reliable automated ways to infer their physical properties like morphology, stellar mass, and star formation rates. Simulations provide galaxy images with ground-truth physical labels, but domain shifts in PSF, noise, backgrounds, selection, and label priors degrade transfer to real surveys. We present a preliminary domain adaptation pipeline that trains on simulated TNG50 galaxies and evaluates on real SDSS galaxies with morphology labels (elliptical/spiral/irregular). We train three backbones (CNN, $E(2)$"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.18590","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2511.18590/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2511.18590","created_at":"2026-06-09T02:07:13.814866+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.18590v1","created_at":"2026-06-09T02:07:13.814866+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.18590","created_at":"2026-06-09T02:07:13.814866+00:00"},{"alias_kind":"pith_short_12","alias_value":"UBJDF5UIAT5S","created_at":"2026-06-09T02:07:13.814866+00:00"},{"alias_kind":"pith_short_16","alias_value":"UBJDF5UIAT5SGGCY","created_at":"2026-06-09T02:07:13.814866+00:00"},{"alias_kind":"pith_short_8","alias_value":"UBJDF5UI","created_at":"2026-06-09T02:07:13.814866+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4","json":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4.json","graph_json":"https://pith.science/api/pith-number/UBJDF5UIAT5SGGCYXH7VX654I4/graph.json","events_json":"https://pith.science/api/pith-number/UBJDF5UIAT5SGGCYXH7VX654I4/events.json","paper":"https://pith.science/paper/UBJDF5UI"},"agent_actions":{"view_html":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4","download_json":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4.json","view_paper":"https://pith.science/paper/UBJDF5UI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.18590&json=true","fetch_graph":"https://pith.science/api/pith-number/UBJDF5UIAT5SGGCYXH7VX654I4/graph.json","fetch_events":"https://pith.science/api/pith-number/UBJDF5UIAT5SGGCYXH7VX654I4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4/action/storage_attestation","attest_author":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4/action/author_attestation","sign_citation":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4/action/citation_signature","submit_replication":"https://pith.science/pith/UBJDF5UIAT5SGGCYXH7VX654I4/action/replication_record"}},"created_at":"2026-06-09T02:07:13.814866+00:00","updated_at":"2026-06-09T02:07:13.814866+00:00"}