{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:QVBXOA5JEWP2A4ZTAIWMVHDYYA","short_pith_number":"pith:QVBXOA5J","schema_version":"1.0","canonical_sha256":"85437703a9259fa07333022cca9c78c03d994f44aff7134ed8cf92bc1b093235","source":{"kind":"arxiv","id":"2103.11587","version":1},"attestation_state":"computed","paper":{"title":"Brain Image Synthesis with Unsupervised Multivariate Canonical CSC$\\ell_4$Net","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Danyang Wang, Feng Zheng, Ling Shao, Matthew R. Scott, Weilin Huang, Yawen Huang","submitted_at":"2021-03-22T05:19:40Z","abstract_excerpt":"Recent advances in neuroscience have highlighted the effectiveness of multi-modal medical data for investigating certain pathologies and understanding human cognition. However, obtaining full sets of different modalities is limited by various factors, such as long acquisition times, high examination costs and artifact suppression. In addition, the complexity, high dimensionality and heterogeneity of neuroimaging data remains another key challenge in leveraging existing randomized scans effectively, as data of the same modality is often measured differently by different machines. There is a cle"},"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":"2103.11587","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-22T05:19:40Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"d7bb7760e66f2cb6f4764031f15006d5cf5b4a48a013b81c15e1552ae3418c69","abstract_canon_sha256":"e37c279912313f0b194124586769cc32db53cf265bd086d0a895704a2c9925a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:25:01.647582Z","signature_b64":"Kp9Gd4dcmBBI+mw8SS2QT8kncgXRmuAbrCmAimbEB3ZXDaF3uXhxpccQ1zwR0mCRc8kdf51iYZDsVolUkF24BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85437703a9259fa07333022cca9c78c03d994f44aff7134ed8cf92bc1b093235","last_reissued_at":"2026-07-05T02:25:01.647118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:25:01.647118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Brain Image Synthesis with Unsupervised Multivariate Canonical CSC$\\ell_4$Net","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Danyang Wang, Feng Zheng, Ling Shao, Matthew R. Scott, Weilin Huang, Yawen Huang","submitted_at":"2021-03-22T05:19:40Z","abstract_excerpt":"Recent advances in neuroscience have highlighted the effectiveness of multi-modal medical data for investigating certain pathologies and understanding human cognition. However, obtaining full sets of different modalities is limited by various factors, such as long acquisition times, high examination costs and artifact suppression. In addition, the complexity, high dimensionality and heterogeneity of neuroimaging data remains another key challenge in leveraging existing randomized scans effectively, as data of the same modality is often measured differently by different machines. There is a cle"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.11587","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/2103.11587/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":"2103.11587","created_at":"2026-07-05T02:25:01.647170+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.11587v1","created_at":"2026-07-05T02:25:01.647170+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.11587","created_at":"2026-07-05T02:25:01.647170+00:00"},{"alias_kind":"pith_short_12","alias_value":"QVBXOA5JEWP2","created_at":"2026-07-05T02:25:01.647170+00:00"},{"alias_kind":"pith_short_16","alias_value":"QVBXOA5JEWP2A4ZT","created_at":"2026-07-05T02:25:01.647170+00:00"},{"alias_kind":"pith_short_8","alias_value":"QVBXOA5J","created_at":"2026-07-05T02:25:01.647170+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/QVBXOA5JEWP2A4ZTAIWMVHDYYA","json":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA.json","graph_json":"https://pith.science/api/pith-number/QVBXOA5JEWP2A4ZTAIWMVHDYYA/graph.json","events_json":"https://pith.science/api/pith-number/QVBXOA5JEWP2A4ZTAIWMVHDYYA/events.json","paper":"https://pith.science/paper/QVBXOA5J"},"agent_actions":{"view_html":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA","download_json":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA.json","view_paper":"https://pith.science/paper/QVBXOA5J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.11587&json=true","fetch_graph":"https://pith.science/api/pith-number/QVBXOA5JEWP2A4ZTAIWMVHDYYA/graph.json","fetch_events":"https://pith.science/api/pith-number/QVBXOA5JEWP2A4ZTAIWMVHDYYA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA/action/storage_attestation","attest_author":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA/action/author_attestation","sign_citation":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA/action/citation_signature","submit_replication":"https://pith.science/pith/QVBXOA5JEWP2A4ZTAIWMVHDYYA/action/replication_record"}},"created_at":"2026-07-05T02:25:01.647170+00:00","updated_at":"2026-07-05T02:25:01.647170+00:00"}