{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:SA6LUK32LWUQJGBIMFYDV44RTA","short_pith_number":"pith:SA6LUK32","schema_version":"1.0","canonical_sha256":"903cba2b7a5da904982861703af391983c25cc1313342e5a30a5cd565443d3c1","source":{"kind":"arxiv","id":"1803.04971","version":1},"attestation_state":"computed","paper":{"title":"Forward Modeling of the Kepler Stellar Rotation Period Distribution: Interpreting Periods from Mixed and Biased Stellar Populations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Jennifer L. van Saders, Marc H. Pinsonneault, Mauro Barbieri","submitted_at":"2018-03-13T18:00:00Z","abstract_excerpt":"Stellar surface rotation carries information about stellar parameters---particularly ages---and thus the large rotational datasets extracted from Kepler timeseries represent powerful probes of stellar populations. In this article, we address the challenge of interpreting such datasets with a forward-modeling exercise. We combine theoretical models of stellar rotation, a stellar population model for the galaxy, and prescriptions for observational bias and confusion to predict the rotation distribution in the Kepler field under standard \"vanilla\" assumptions. We arrive at two central conclusions"},"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":"1803.04971","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2018-03-13T18:00:00Z","cross_cats_sorted":[],"title_canon_sha256":"94e95b184eb253fa1ff06133f1e4bb054520bfa10df5c6ae1208032cd61199db","abstract_canon_sha256":"70f376534af922711c4cbaeb9f60095dfa58a47ef0898915748df5ac415026bf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:44.192466Z","signature_b64":"g8fVfdd73ABSUcPlmoqi258z43lnJV1vH+jiE8SK9TVNy76UeIybkE2prk8w9sMIX/+knRRC2JH5fH6bN2/xDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"903cba2b7a5da904982861703af391983c25cc1313342e5a30a5cd565443d3c1","last_reissued_at":"2026-05-17T23:52:44.191863Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:44.191863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Forward Modeling of the Kepler Stellar Rotation Period Distribution: Interpreting Periods from Mixed and Biased Stellar Populations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Jennifer L. van Saders, Marc H. Pinsonneault, Mauro Barbieri","submitted_at":"2018-03-13T18:00:00Z","abstract_excerpt":"Stellar surface rotation carries information about stellar parameters---particularly ages---and thus the large rotational datasets extracted from Kepler timeseries represent powerful probes of stellar populations. In this article, we address the challenge of interpreting such datasets with a forward-modeling exercise. We combine theoretical models of stellar rotation, a stellar population model for the galaxy, and prescriptions for observational bias and confusion to predict the rotation distribution in the Kepler field under standard \"vanilla\" assumptions. We arrive at two central conclusions"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.04971","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":"1803.04971","created_at":"2026-05-17T23:52:44.191961+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.04971v1","created_at":"2026-05-17T23:52:44.191961+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.04971","created_at":"2026-05-17T23:52:44.191961+00:00"},{"alias_kind":"pith_short_12","alias_value":"SA6LUK32LWUQ","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_16","alias_value":"SA6LUK32LWUQJGBI","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_8","alias_value":"SA6LUK32","created_at":"2026-05-18T12:32:50.500415+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/SA6LUK32LWUQJGBIMFYDV44RTA","json":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA.json","graph_json":"https://pith.science/api/pith-number/SA6LUK32LWUQJGBIMFYDV44RTA/graph.json","events_json":"https://pith.science/api/pith-number/SA6LUK32LWUQJGBIMFYDV44RTA/events.json","paper":"https://pith.science/paper/SA6LUK32"},"agent_actions":{"view_html":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA","download_json":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA.json","view_paper":"https://pith.science/paper/SA6LUK32","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.04971&json=true","fetch_graph":"https://pith.science/api/pith-number/SA6LUK32LWUQJGBIMFYDV44RTA/graph.json","fetch_events":"https://pith.science/api/pith-number/SA6LUK32LWUQJGBIMFYDV44RTA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA/action/storage_attestation","attest_author":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA/action/author_attestation","sign_citation":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA/action/citation_signature","submit_replication":"https://pith.science/pith/SA6LUK32LWUQJGBIMFYDV44RTA/action/replication_record"}},"created_at":"2026-05-17T23:52:44.191961+00:00","updated_at":"2026-05-17T23:52:44.191961+00:00"}