{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2GFKSFTLJKAKEMZKDFPE7ZPSVE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"eb7c13549b95551fab3582e48927a45b59c3e984b5ec543e714158ec38a54d58","cross_cats_sorted":["astro-ph.SR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.EP","submitted_at":"2024-12-15T22:17:33Z","title_canon_sha256":"55215dbd5dc638e771fbcf0cee215c961ec60b165b778fae769eb79620897e6a"},"schema_version":"1.0","source":{"id":"2412.11329","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11329","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11329v1","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11329","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"pith_short_12","alias_value":"2GFKSFTLJKAK","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"pith_short_16","alias_value":"2GFKSFTLJKAKEMZK","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"pith_short_8","alias_value":"2GFKSFTL","created_at":"2026-07-05T09:49:30Z"}],"graph_snapshots":[{"event_id":"sha256:4c727d4f0733ba3a91751896677495ac7ac92f7e5974ea934426ad2d4a108c6c","target":"graph","created_at":"2026-07-05T09:49:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.11329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stellar activity contamination of radial velocity (RV) data is one of the top challenges plaguing the field of extreme precision RV (EPRV) science. Previous work has shown that photometry can be very effective at removing such signals from RV data, especially stellar activity caused by rotating star spots and plage.The exact utility of photometry for removing RV activity contamination, and the best way to apply it, is not well known. We present a combination photometric and RV study of eight Kepler/K2 FGK stars with known stellar variability. We use NEID RVs acquired simultaneously with TESS p","authors_text":"Andrea S.J. Lin, Arpita Roy, Arvind F. Gupta, Brad Holden, Christian Schwab, Corey Beard, Cullen H. Blake, Daniel M. Krolikowski, Dan Li, Emily Lubar, Gudmundur Stefansson, Jack Lubin, Jason T. Wright, Joe P. Ninan, Leonardo A. Paredes, Michael W. McElwain, Paul A. Dalba, Paul Robertson, Pranav Premnath, Rae Holcomb, R. Paul Butler, Ryan C. Terrien, Samuel Halverson, Sarah E. Logsdon, Scott A. Diddams, Suvrath Mahadevan, Te Han","cross_cats":["astro-ph.SR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.EP","submitted_at":"2024-12-15T22:17:33Z","title":"Jitter Across 15 Years: Leveraging Precise Photometry from Kepler and TESS to Extract Exoplanets from Radial Velocity Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11329","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:84e38f8b590cf7abc514b4c9dbb167b83a125288f441923df41da65b072e34a6","target":"record","created_at":"2026-07-05T09:49:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"eb7c13549b95551fab3582e48927a45b59c3e984b5ec543e714158ec38a54d58","cross_cats_sorted":["astro-ph.SR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.EP","submitted_at":"2024-12-15T22:17:33Z","title_canon_sha256":"55215dbd5dc638e771fbcf0cee215c961ec60b165b778fae769eb79620897e6a"},"schema_version":"1.0","source":{"id":"2412.11329","kind":"arxiv","version":1}},"canonical_sha256":"d18aa9166b4a80a2332a195e4fe5f2a91309334e65658532beac6cc1fe4c3c41","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d18aa9166b4a80a2332a195e4fe5f2a91309334e65658532beac6cc1fe4c3c41","first_computed_at":"2026-07-05T09:49:30.822496Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:30.822496Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kXkaOshnUt1kAUGR9pz46PG94oqhROKBvoJjM6mK8gzeAma3OZLBXelcaVc3UTSPMWU8oxPuyXuuHU/+IJ1pAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:30.822901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11329","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:84e38f8b590cf7abc514b4c9dbb167b83a125288f441923df41da65b072e34a6","sha256:4c727d4f0733ba3a91751896677495ac7ac92f7e5974ea934426ad2d4a108c6c"],"state_sha256":"ed0abd19902b387dea25a3eb2c40b723bb72004e76407a6adccd2e38d6d27767"}