{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:DZZ2BJXN7JPUZ2JWQ5WHT7CNNP","short_pith_number":"pith:DZZ2BJXN","schema_version":"1.0","canonical_sha256":"1e73a0a6edfa5f4ce936876c79fc4d6bfddab93ec69d629cb8a518780710c304","source":{"kind":"arxiv","id":"2111.00462","version":1},"attestation_state":"computed","paper":{"title":"Optimizing foreground mitigation for CMB lensing with combined multifrequency and geometric methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Blake D. Sherwin, Emmanuel Schaan, Noah Sailer, Omar Darwish, Simone Ferraro","submitted_at":"2021-10-31T10:49:00Z","abstract_excerpt":"A key challenge for current and upcoming CMB lensing measurements is their sensitivity to biases from extragalactic foregrounds, such as Sunyaev-Zeldovich (SZ) signals or cosmic infrared background emission. Several methods have been developed to mitigate these lensing foreground biases, dividing broadly into multi-frequency cleaning approaches and modifications to the estimator geometry, but how to optimally combine these methods has not yet been explored in detail. In this paper, we examine which combination of lensing foreground mitigation strategies is best able to reduce the impact of for"},"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":"2111.00462","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2021-10-31T10:49:00Z","cross_cats_sorted":[],"title_canon_sha256":"d7809b60e52d62637198f00b71c253e245ade23115c406fc8b76a8bff6a6b117","abstract_canon_sha256":"8900e8a6183b90648cd103ec6081eaf032c36bb1e0bd4f57037bef44e3b8d6c9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:27:42.904601Z","signature_b64":"PtU1JX+ESveDPwgeQ1HraxbiXH6i0R6uXkQa7n0Qa20GZRIbsT9EOurYjER05hwM1XR9W/0wRRQ/EWCFHx8OAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e73a0a6edfa5f4ce936876c79fc4d6bfddab93ec69d629cb8a518780710c304","last_reissued_at":"2026-07-05T03:27:42.904241Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:27:42.904241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimizing foreground mitigation for CMB lensing with combined multifrequency and geometric methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Blake D. Sherwin, Emmanuel Schaan, Noah Sailer, Omar Darwish, Simone Ferraro","submitted_at":"2021-10-31T10:49:00Z","abstract_excerpt":"A key challenge for current and upcoming CMB lensing measurements is their sensitivity to biases from extragalactic foregrounds, such as Sunyaev-Zeldovich (SZ) signals or cosmic infrared background emission. Several methods have been developed to mitigate these lensing foreground biases, dividing broadly into multi-frequency cleaning approaches and modifications to the estimator geometry, but how to optimally combine these methods has not yet been explored in detail. In this paper, we examine which combination of lensing foreground mitigation strategies is best able to reduce the impact of for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.00462","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/2111.00462/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":"2111.00462","created_at":"2026-07-05T03:27:42.904296+00:00"},{"alias_kind":"arxiv_version","alias_value":"2111.00462v1","created_at":"2026-07-05T03:27:42.904296+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.00462","created_at":"2026-07-05T03:27:42.904296+00:00"},{"alias_kind":"pith_short_12","alias_value":"DZZ2BJXN7JPU","created_at":"2026-07-05T03:27:42.904296+00:00"},{"alias_kind":"pith_short_16","alias_value":"DZZ2BJXN7JPUZ2JW","created_at":"2026-07-05T03:27:42.904296+00:00"},{"alias_kind":"pith_short_8","alias_value":"DZZ2BJXN","created_at":"2026-07-05T03:27:42.904296+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2304.05203","citing_title":"The Atacama Cosmology Telescope: DR6 Gravitational Lensing Map and Cosmological Parameters","ref_index":45,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP","json":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP.json","graph_json":"https://pith.science/api/pith-number/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/graph.json","events_json":"https://pith.science/api/pith-number/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/events.json","paper":"https://pith.science/paper/DZZ2BJXN"},"agent_actions":{"view_html":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP","download_json":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP.json","view_paper":"https://pith.science/paper/DZZ2BJXN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2111.00462&json=true","fetch_graph":"https://pith.science/api/pith-number/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/graph.json","fetch_events":"https://pith.science/api/pith-number/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/action/storage_attestation","attest_author":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/action/author_attestation","sign_citation":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/action/citation_signature","submit_replication":"https://pith.science/pith/DZZ2BJXN7JPUZ2JWQ5WHT7CNNP/action/replication_record"}},"created_at":"2026-07-05T03:27:42.904296+00:00","updated_at":"2026-07-05T03:27:42.904296+00:00"}