{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:LBHBMMCJB62QY6AA7J4XDTI7LU","short_pith_number":"pith:LBHBMMCJ","schema_version":"1.0","canonical_sha256":"584e1630490fb50c7800fa7971cd1f5d3750c34ff41e5771f9d576bb70131896","source":{"kind":"arxiv","id":"2410.19895","version":2},"attestation_state":"computed","paper":{"title":"Stellar Loci. VIII. Photometric Metallicities for 100 Million Stars Based on Synthetic Gaia Colors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.SR","authors_text":"Bowen Huang, Haibo Yuan, Kai Xiao, Maosheng Xiang, Shuai Xu, Timothy C. Beers, Yang Huang","submitted_at":"2024-10-25T17:04:38Z","abstract_excerpt":"We apply the stellar locus method to synthetic $(BP-RP)_{XPSP}$ and $(BP-G)_{XPSP}$ colors derived from corrected Gaia BP/RP (XP) spectra to obtain precise estimates of metallicity for about 100 million stars in the Milky Way (34 million giants in the color range $0.6 < (BP-RP)_0 < 1.75$ and 65 million dwarfs in the color range $0.2 < (BP-RP)_0 < 1.5$). The sub milli-magnitude precision of the derived synthetic stellar colors enables estimates of metallicity for stars as low as [Fe/H] $\\sim -4$. Multiple validation tests indicate that the typical metallicity precision is between 0.05 -- 0.1 de"},"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":"2410.19895","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.SR","submitted_at":"2024-10-25T17:04:38Z","cross_cats_sorted":["astro-ph.GA"],"title_canon_sha256":"828689887cfede40455627cf8a9a818680300730f6834ad73068f29e1da0a11c","abstract_canon_sha256":"74f1e25ed9a41e85396c075d7fd9bc14a899f2df055aade725b4a0b701cf74e3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:23.639983Z","signature_b64":"xDCFNbrg39VZERUIVip/wc4gNqNHX7s3z9XptiHI9cQtHYg2HUKTkSOdaKbmR2no1MkKHzsaL5UwaKLvErYrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"584e1630490fb50c7800fa7971cd1f5d3750c34ff41e5771f9d576bb70131896","last_reissued_at":"2026-07-05T10:08:23.639497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:23.639497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stellar Loci. VIII. Photometric Metallicities for 100 Million Stars Based on Synthetic Gaia Colors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.SR","authors_text":"Bowen Huang, Haibo Yuan, Kai Xiao, Maosheng Xiang, Shuai Xu, Timothy C. Beers, Yang Huang","submitted_at":"2024-10-25T17:04:38Z","abstract_excerpt":"We apply the stellar locus method to synthetic $(BP-RP)_{XPSP}$ and $(BP-G)_{XPSP}$ colors derived from corrected Gaia BP/RP (XP) spectra to obtain precise estimates of metallicity for about 100 million stars in the Milky Way (34 million giants in the color range $0.6 < (BP-RP)_0 < 1.75$ and 65 million dwarfs in the color range $0.2 < (BP-RP)_0 < 1.5$). The sub milli-magnitude precision of the derived synthetic stellar colors enables estimates of metallicity for stars as low as [Fe/H] $\\sim -4$. Multiple validation tests indicate that the typical metallicity precision is between 0.05 -- 0.1 de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.19895","kind":"arxiv","version":2},"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/2410.19895/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":"2410.19895","created_at":"2026-07-05T10:08:23.639556+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.19895v2","created_at":"2026-07-05T10:08:23.639556+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.19895","created_at":"2026-07-05T10:08:23.639556+00:00"},{"alias_kind":"pith_short_12","alias_value":"LBHBMMCJB62Q","created_at":"2026-07-05T10:08:23.639556+00:00"},{"alias_kind":"pith_short_16","alias_value":"LBHBMMCJB62QY6AA","created_at":"2026-07-05T10:08:23.639556+00:00"},{"alias_kind":"pith_short_8","alias_value":"LBHBMMCJ","created_at":"2026-07-05T10:08:23.639556+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.07640","citing_title":"An all-sky 3D dust map Based on Gaia and LAMOST","ref_index":14,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU","json":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU.json","graph_json":"https://pith.science/api/pith-number/LBHBMMCJB62QY6AA7J4XDTI7LU/graph.json","events_json":"https://pith.science/api/pith-number/LBHBMMCJB62QY6AA7J4XDTI7LU/events.json","paper":"https://pith.science/paper/LBHBMMCJ"},"agent_actions":{"view_html":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU","download_json":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU.json","view_paper":"https://pith.science/paper/LBHBMMCJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.19895&json=true","fetch_graph":"https://pith.science/api/pith-number/LBHBMMCJB62QY6AA7J4XDTI7LU/graph.json","fetch_events":"https://pith.science/api/pith-number/LBHBMMCJB62QY6AA7J4XDTI7LU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU/action/storage_attestation","attest_author":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU/action/author_attestation","sign_citation":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU/action/citation_signature","submit_replication":"https://pith.science/pith/LBHBMMCJB62QY6AA7J4XDTI7LU/action/replication_record"}},"created_at":"2026-07-05T10:08:23.639556+00:00","updated_at":"2026-07-05T10:08:23.639556+00:00"}