{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:KTQKE4EU5VPP7BYVZLIKX4642W","short_pith_number":"pith:KTQKE4EU","schema_version":"1.0","canonical_sha256":"54e0a27094ed5eff8715cad0abf3dcd5bb2aebd1208d89102d13574216a8ce96","source":{"kind":"arxiv","id":"2608.06604","version":1},"attestation_state":"computed","paper":{"title":"The Maunder Model and Catalog: Stellar Rotation, Bimodal Activity, and Magnetic Braking in Kepler Main-Sequence Stars","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Hagai B. Perets, Ilay Kamai, Lavi Somers","submitted_at":"2026-08-06T21:26:28Z","abstract_excerpt":"We present The Maunder, a machine learning pipeline and resulting catalog of rotation periods for 148,746 main-sequence stars in the Kepler field. To overcome single-catalog systematics and the simulation-to-reality gap, our architecture employs a hybrid training objective: a joint-embedding self-supervised loss applied to all light curves, combined with a supervised loss trained strictly on cross-catalog consensus labels. By processing multi-scale time- and frequency-domain inputs over rolling windows, the model leverages conformalized quantile regression to output calibrated predictive inter"},"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":"2608.06604","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.SR","submitted_at":"2026-08-06T21:26:28Z","cross_cats_sorted":[],"title_canon_sha256":"666837b582c9a2a2543a1e418ffcb27b778547a76522ed9438f69c93eacd393b","abstract_canon_sha256":"0e9ca7e828d47fd872751d500661c9ebea2ab1eebf02777339da239b03df0b1a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-10T01:11:27.845964Z","signature_b64":"tFT6uEbNC8wxEhqaDMrmzFblGyFAOMYXdjPspwn8n5ciPZRXGJmfI8s2diI7Jmcxp/x1EO+kendJQrTd0TK3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54e0a27094ed5eff8715cad0abf3dcd5bb2aebd1208d89102d13574216a8ce96","last_reissued_at":"2026-08-10T01:11:27.843669Z","signature_status":"signed_v1","first_computed_at":"2026-08-10T01:11:27.843669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Maunder Model and Catalog: Stellar Rotation, Bimodal Activity, and Magnetic Braking in Kepler Main-Sequence Stars","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Hagai B. Perets, Ilay Kamai, Lavi Somers","submitted_at":"2026-08-06T21:26:28Z","abstract_excerpt":"We present The Maunder, a machine learning pipeline and resulting catalog of rotation periods for 148,746 main-sequence stars in the Kepler field. To overcome single-catalog systematics and the simulation-to-reality gap, our architecture employs a hybrid training objective: a joint-embedding self-supervised loss applied to all light curves, combined with a supervised loss trained strictly on cross-catalog consensus labels. By processing multi-scale time- and frequency-domain inputs over rolling windows, the model leverages conformalized quantile regression to output calibrated predictive inter"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06604","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/2608.06604/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":"2608.06604","created_at":"2026-08-10T01:11:27.844564+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.06604v1","created_at":"2026-08-10T01:11:27.844564+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06604","created_at":"2026-08-10T01:11:27.844564+00:00"},{"alias_kind":"pith_short_12","alias_value":"KTQKE4EU5VPP","created_at":"2026-08-10T01:11:27.844564+00:00"},{"alias_kind":"pith_short_16","alias_value":"KTQKE4EU5VPP7BYV","created_at":"2026-08-10T01:11:27.844564+00:00"},{"alias_kind":"pith_short_8","alias_value":"KTQKE4EU","created_at":"2026-08-10T01:11:27.844564+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/KTQKE4EU5VPP7BYVZLIKX4642W","json":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W.json","graph_json":"https://pith.science/api/pith-number/KTQKE4EU5VPP7BYVZLIKX4642W/graph.json","events_json":"https://pith.science/api/pith-number/KTQKE4EU5VPP7BYVZLIKX4642W/events.json","paper":"https://pith.science/paper/KTQKE4EU"},"agent_actions":{"view_html":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W","download_json":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W.json","view_paper":"https://pith.science/paper/KTQKE4EU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.06604&json=true","fetch_graph":"https://pith.science/api/pith-number/KTQKE4EU5VPP7BYVZLIKX4642W/graph.json","fetch_events":"https://pith.science/api/pith-number/KTQKE4EU5VPP7BYVZLIKX4642W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W/action/storage_attestation","attest_author":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W/action/author_attestation","sign_citation":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W/action/citation_signature","submit_replication":"https://pith.science/pith/KTQKE4EU5VPP7BYVZLIKX4642W/action/replication_record"}},"created_at":"2026-08-10T01:11:27.844564+00:00","updated_at":"2026-08-10T01:11:27.844564+00:00"}