{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:E6HAHWMLYOEXLQHXPXLLHQVTFW","short_pith_number":"pith:E6HAHWML","schema_version":"1.0","canonical_sha256":"278e03d98bc38975c0f77dd6b3c2b32d9cd66697f8edba398dacce892ceff3aa","source":{"kind":"arxiv","id":"1401.6016","version":1},"attestation_state":"computed","paper":{"title":"Joint Planck and WMAP CMB Map Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Rassat, F. Sureau, J. Bobin, J.-L. Starck, P. Paykari","submitted_at":"2014-01-23T15:50:25Z","abstract_excerpt":"We present a novel estimate of the cosmological microwave background (CMB) map by combining the two latest full-sky microwave surveys: WMAP nine-year and Planck PR1. The joint processing benefits from a recently introduced component separation method coined \"local-generalized morphological component analysis'' (LGMCA) based on the sparse distribution of the foregrounds in the wavelet domain. The proposed estimation procedure takes advantage of the IRIS 100 micron as an extra observation on the galactic center for enhanced dust removal. We show that this new CMB map presents several interesting"},"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":"1401.6016","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2014-01-23T15:50:25Z","cross_cats_sorted":[],"title_canon_sha256":"05131aaef633ac277de9a62080593e19c9f8f8757d1385fb4cea0c0998e29409","abstract_canon_sha256":"8cf07329852b9eb390fe5b436ba34011037adba64b146bd563054cf6063dfc57"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:45:17.528352Z","signature_b64":"EW5oFWAskwMc9MMZW70+rg/caidKn3fyrq4fPfQ7Dodc2EPD1IjznhWnflX8bT2JOzmSokc6M8ABJx/Z5vNQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"278e03d98bc38975c0f77dd6b3c2b32d9cd66697f8edba398dacce892ceff3aa","last_reissued_at":"2026-05-18T01:45:17.527834Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:45:17.527834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Planck and WMAP CMB Map Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Rassat, F. Sureau, J. Bobin, J.-L. Starck, P. Paykari","submitted_at":"2014-01-23T15:50:25Z","abstract_excerpt":"We present a novel estimate of the cosmological microwave background (CMB) map by combining the two latest full-sky microwave surveys: WMAP nine-year and Planck PR1. The joint processing benefits from a recently introduced component separation method coined \"local-generalized morphological component analysis'' (LGMCA) based on the sparse distribution of the foregrounds in the wavelet domain. The proposed estimation procedure takes advantage of the IRIS 100 micron as an extra observation on the galactic center for enhanced dust removal. We show that this new CMB map presents several interesting"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.6016","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":"1401.6016","created_at":"2026-05-18T01:45:17.527915+00:00"},{"alias_kind":"arxiv_version","alias_value":"1401.6016v1","created_at":"2026-05-18T01:45:17.527915+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.6016","created_at":"2026-05-18T01:45:17.527915+00:00"},{"alias_kind":"pith_short_12","alias_value":"E6HAHWMLYOEX","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"E6HAHWMLYOEXLQHX","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"E6HAHWML","created_at":"2026-05-18T12:28:25.294606+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.03458","citing_title":"Comparison of Halo Model and Simulation Predictions for Projected-Field Kinematic Sunyaev-Zel'dovich Cross-Correlations","ref_index":34,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW","json":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW.json","graph_json":"https://pith.science/api/pith-number/E6HAHWMLYOEXLQHXPXLLHQVTFW/graph.json","events_json":"https://pith.science/api/pith-number/E6HAHWMLYOEXLQHXPXLLHQVTFW/events.json","paper":"https://pith.science/paper/E6HAHWML"},"agent_actions":{"view_html":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW","download_json":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW.json","view_paper":"https://pith.science/paper/E6HAHWML","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1401.6016&json=true","fetch_graph":"https://pith.science/api/pith-number/E6HAHWMLYOEXLQHXPXLLHQVTFW/graph.json","fetch_events":"https://pith.science/api/pith-number/E6HAHWMLYOEXLQHXPXLLHQVTFW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW/action/storage_attestation","attest_author":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW/action/author_attestation","sign_citation":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW/action/citation_signature","submit_replication":"https://pith.science/pith/E6HAHWMLYOEXLQHXPXLLHQVTFW/action/replication_record"}},"created_at":"2026-05-18T01:45:17.527915+00:00","updated_at":"2026-05-18T01:45:17.527915+00:00"}