{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2009:SVDB5TQD6O5FQSLXTVTDYCD2PD","short_pith_number":"pith:SVDB5TQD","schema_version":"1.0","canonical_sha256":"95461ece03f3ba5849779d663c087a78e3b0ce075baaeb81354f738652ff6348","source":{"kind":"arxiv","id":"0906.0304","version":1},"attestation_state":"computed","paper":{"title":"Comparative clustering analysis of variable stars in the Hipparcos, OGLE Large Magellanic Cloud and CoRoT exoplanet databases","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"C. Aerts, J. Debosscher, L. M. Sarro, M. L\\'opez","submitted_at":"2009-06-01T14:57:00Z","abstract_excerpt":"Context. Discovery of new variability classes in large surveys using multivariate statistics techniques such as clustering, relies heavily on the correct understanding of the distribution of known classes as point processes in parameter space. Aims. Our objective is to analyze the correspondence between the classical stellar variability types and the clusters found in the distribution of light curve parameters and colour indices of stars in the CoRoT exoplanet sample. The final aim is to help in the identification on new types of variability by first identifying the well known variables in the"},"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":"0906.0304","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2009-06-01T14:57:00Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"802e6aed6fdab63dd6eeefb335bfa74c9882252684eefdb96514f96824c25ed4","abstract_canon_sha256":"726fc5bdd68b698e42b0385de3fda611a7604947568d6e2759798b0359873b1b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:13:30.043008Z","signature_b64":"YaXlhMEip4wKbS9gHiATms/rNKF8D5WghKU2llWDUAgf6cUdiAYMfHbIyUluUrdg4Kmd/KO8WPAGl9tYcQc/Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95461ece03f3ba5849779d663c087a78e3b0ce075baaeb81354f738652ff6348","last_reissued_at":"2026-05-18T02:13:30.042450Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:13:30.042450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Comparative clustering analysis of variable stars in the Hipparcos, OGLE Large Magellanic Cloud and CoRoT exoplanet databases","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"C. Aerts, J. Debosscher, L. M. Sarro, M. L\\'opez","submitted_at":"2009-06-01T14:57:00Z","abstract_excerpt":"Context. Discovery of new variability classes in large surveys using multivariate statistics techniques such as clustering, relies heavily on the correct understanding of the distribution of known classes as point processes in parameter space. Aims. Our objective is to analyze the correspondence between the classical stellar variability types and the clusters found in the distribution of light curve parameters and colour indices of stars in the CoRoT exoplanet sample. The final aim is to help in the identification on new types of variability by first identifying the well known variables in the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0906.0304","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":""},"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":"0906.0304","created_at":"2026-05-18T02:13:30.042538+00:00"},{"alias_kind":"arxiv_version","alias_value":"0906.0304v1","created_at":"2026-05-18T02:13:30.042538+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0906.0304","created_at":"2026-05-18T02:13:30.042538+00:00"},{"alias_kind":"pith_short_12","alias_value":"SVDB5TQD6O5F","created_at":"2026-05-18T12:26:01.383474+00:00"},{"alias_kind":"pith_short_16","alias_value":"SVDB5TQD6O5FQSLX","created_at":"2026-05-18T12:26:01.383474+00:00"},{"alias_kind":"pith_short_8","alias_value":"SVDB5TQD","created_at":"2026-05-18T12:26:01.383474+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/SVDB5TQD6O5FQSLXTVTDYCD2PD","json":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD.json","graph_json":"https://pith.science/api/pith-number/SVDB5TQD6O5FQSLXTVTDYCD2PD/graph.json","events_json":"https://pith.science/api/pith-number/SVDB5TQD6O5FQSLXTVTDYCD2PD/events.json","paper":"https://pith.science/paper/SVDB5TQD"},"agent_actions":{"view_html":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD","download_json":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD.json","view_paper":"https://pith.science/paper/SVDB5TQD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0906.0304&json=true","fetch_graph":"https://pith.science/api/pith-number/SVDB5TQD6O5FQSLXTVTDYCD2PD/graph.json","fetch_events":"https://pith.science/api/pith-number/SVDB5TQD6O5FQSLXTVTDYCD2PD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD/action/storage_attestation","attest_author":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD/action/author_attestation","sign_citation":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD/action/citation_signature","submit_replication":"https://pith.science/pith/SVDB5TQD6O5FQSLXTVTDYCD2PD/action/replication_record"}},"created_at":"2026-05-18T02:13:30.042538+00:00","updated_at":"2026-05-18T02:13:30.042538+00:00"}