{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:LHSFG6ZWYB5ERAQESTKQL4JSX4","short_pith_number":"pith:LHSFG6ZW","schema_version":"1.0","canonical_sha256":"59e4537b36c07a48820494d505f132bf1d65fee0655e234384c5ec73ed694f98","source":{"kind":"arxiv","id":"1401.7427","version":1},"attestation_state":"computed","paper":{"title":"Cluster membership probabilities from proper motions and multiwavelength photometric catalogues: I. Method and application to the Pleiades cluster","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"A. Berihuete, D. Barrado, E. Bertin, E. Moraux, E. Solano, H. Bouy, J. Bouvier, J.-C. Cuillandre, L. M. Sarro","submitted_at":"2014-01-29T08:11:14Z","abstract_excerpt":"We present a new technique designed to take full advantage of the high dimensionality (photometric, astrometric, temporal) of the DANCe survey to derive self-consistent and robust membership probabilities of the Pleiades cluster. We aim at developing a methodology to infer membership probabilities to the Pleiades cluster from the DANCe multidimensional astro-photometric data set in a consistent way throughout the entire derivation. The determination of the membership probabilities has to be applicable to censored data and must incorporate the measurement uncertainties into the inference proced"},"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":"1401.7427","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2014-01-29T08:11:14Z","cross_cats_sorted":[],"title_canon_sha256":"6d28e73bfd5270b43a2402e221ab098a746b27f455dc3c3d73f0e9eaf35036ae","abstract_canon_sha256":"6bfa2dca3a3bb33fb2c5fd39b5b82aaba60cc0674249dbc799c7d53797f8b437"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:45:00.072486Z","signature_b64":"80+geqo1rUeUgBiT36bg7rgVdl+S0MGaNa7g+AFi7yU+8Mub94j0lK8xZ26QdyK7WRqJQvHouEtUpUMOIPFrAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59e4537b36c07a48820494d505f132bf1d65fee0655e234384c5ec73ed694f98","last_reissued_at":"2026-05-18T01:45:00.071597Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:45:00.071597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cluster membership probabilities from proper motions and multiwavelength photometric catalogues: I. Method and application to the Pleiades cluster","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"A. Berihuete, D. Barrado, E. Bertin, E. Moraux, E. Solano, H. Bouy, J. Bouvier, J.-C. Cuillandre, L. M. Sarro","submitted_at":"2014-01-29T08:11:14Z","abstract_excerpt":"We present a new technique designed to take full advantage of the high dimensionality (photometric, astrometric, temporal) of the DANCe survey to derive self-consistent and robust membership probabilities of the Pleiades cluster. We aim at developing a methodology to infer membership probabilities to the Pleiades cluster from the DANCe multidimensional astro-photometric data set in a consistent way throughout the entire derivation. The determination of the membership probabilities has to be applicable to censored data and must incorporate the measurement uncertainties into the inference proced"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.7427","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":"1401.7427","created_at":"2026-05-18T01:45:00.071727+00:00"},{"alias_kind":"arxiv_version","alias_value":"1401.7427v1","created_at":"2026-05-18T01:45:00.071727+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.7427","created_at":"2026-05-18T01:45:00.071727+00:00"},{"alias_kind":"pith_short_12","alias_value":"LHSFG6ZWYB5E","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_16","alias_value":"LHSFG6ZWYB5ERAQE","created_at":"2026-05-18T12:28:38.356838+00:00"},{"alias_kind":"pith_short_8","alias_value":"LHSFG6ZW","created_at":"2026-05-18T12:28:38.356838+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/LHSFG6ZWYB5ERAQESTKQL4JSX4","json":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4.json","graph_json":"https://pith.science/api/pith-number/LHSFG6ZWYB5ERAQESTKQL4JSX4/graph.json","events_json":"https://pith.science/api/pith-number/LHSFG6ZWYB5ERAQESTKQL4JSX4/events.json","paper":"https://pith.science/paper/LHSFG6ZW"},"agent_actions":{"view_html":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4","download_json":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4.json","view_paper":"https://pith.science/paper/LHSFG6ZW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1401.7427&json=true","fetch_graph":"https://pith.science/api/pith-number/LHSFG6ZWYB5ERAQESTKQL4JSX4/graph.json","fetch_events":"https://pith.science/api/pith-number/LHSFG6ZWYB5ERAQESTKQL4JSX4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4/action/storage_attestation","attest_author":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4/action/author_attestation","sign_citation":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4/action/citation_signature","submit_replication":"https://pith.science/pith/LHSFG6ZWYB5ERAQESTKQL4JSX4/action/replication_record"}},"created_at":"2026-05-18T01:45:00.071727+00:00","updated_at":"2026-05-18T01:45:00.071727+00:00"}