{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:7R7RHEOJOAMQZKQPX4KNUAYXWH","short_pith_number":"pith:7R7RHEOJ","schema_version":"1.0","canonical_sha256":"fc7f1391c970190caa0fbf14da0317b1fefc5f9c080602abdafe6433e3ce59e9","source":{"kind":"arxiv","id":"2511.17847","version":3},"attestation_state":"computed","paper":{"title":"Generative MR Multitasking with complex-harmonic cardiac encoding: Bridging the gap between gated imaging and real-time imaging","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Anthony G. Christodoulou, Xinguo Fang","submitted_at":"2025-11-22T00:16:05Z","abstract_excerpt":"Purpose: To develop a unified image reconstruction framework that bridges real-time and gated cardiac MRI, including quantitative MRI. Methods: We introduce Generative Multitasking, which learns an implicit neural temporal basis from sequence timings and an interpretable latent space for cardiac and respiratory motion. Cardiac motion is modeled as a complex harmonic, with phase encoding timing and a latent amplitude capturing beat-to-beat functional variability, linking cardiac phase-resolved (\"gated-like\") and time-resolved (\"real-time-like\") views. We implemented the framework using a condit"},"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":"2511.17847","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-11-22T00:16:05Z","cross_cats_sorted":[],"title_canon_sha256":"ee8f3e2e8a2f044bde64833ac7ec607c50048a5e88225c4c05e5dd51568c2b61","abstract_canon_sha256":"192d9e1d59d9227801b9b211e221e2589de5fd582613a6d96df77a0ffe8c3448"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:33.185267Z","signature_b64":"mN8lSCe5DeHN5aG16Yq425uABmv0Mqr2e0O++OeB/1pIYiF9+QS3VmlBXpIjKRCZw5GJHE66uDarjl2c14vRCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc7f1391c970190caa0fbf14da0317b1fefc5f9c080602abdafe6433e3ce59e9","last_reissued_at":"2026-05-28T01:04:33.184804Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:33.184804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generative MR Multitasking with complex-harmonic cardiac encoding: Bridging the gap between gated imaging and real-time imaging","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Anthony G. Christodoulou, Xinguo Fang","submitted_at":"2025-11-22T00:16:05Z","abstract_excerpt":"Purpose: To develop a unified image reconstruction framework that bridges real-time and gated cardiac MRI, including quantitative MRI. Methods: We introduce Generative Multitasking, which learns an implicit neural temporal basis from sequence timings and an interpretable latent space for cardiac and respiratory motion. Cardiac motion is modeled as a complex harmonic, with phase encoding timing and a latent amplitude capturing beat-to-beat functional variability, linking cardiac phase-resolved (\"gated-like\") and time-resolved (\"real-time-like\") views. We implemented the framework using a condit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.17847","kind":"arxiv","version":3},"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/2511.17847/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":"2511.17847","created_at":"2026-05-28T01:04:33.184867+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.17847v3","created_at":"2026-05-28T01:04:33.184867+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.17847","created_at":"2026-05-28T01:04:33.184867+00:00"},{"alias_kind":"pith_short_12","alias_value":"7R7RHEOJOAMQ","created_at":"2026-05-28T01:04:33.184867+00:00"},{"alias_kind":"pith_short_16","alias_value":"7R7RHEOJOAMQZKQP","created_at":"2026-05-28T01:04:33.184867+00:00"},{"alias_kind":"pith_short_8","alias_value":"7R7RHEOJ","created_at":"2026-05-28T01:04:33.184867+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/7R7RHEOJOAMQZKQPX4KNUAYXWH","json":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH.json","graph_json":"https://pith.science/api/pith-number/7R7RHEOJOAMQZKQPX4KNUAYXWH/graph.json","events_json":"https://pith.science/api/pith-number/7R7RHEOJOAMQZKQPX4KNUAYXWH/events.json","paper":"https://pith.science/paper/7R7RHEOJ"},"agent_actions":{"view_html":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH","download_json":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH.json","view_paper":"https://pith.science/paper/7R7RHEOJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.17847&json=true","fetch_graph":"https://pith.science/api/pith-number/7R7RHEOJOAMQZKQPX4KNUAYXWH/graph.json","fetch_events":"https://pith.science/api/pith-number/7R7RHEOJOAMQZKQPX4KNUAYXWH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH/action/storage_attestation","attest_author":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH/action/author_attestation","sign_citation":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH/action/citation_signature","submit_replication":"https://pith.science/pith/7R7RHEOJOAMQZKQPX4KNUAYXWH/action/replication_record"}},"created_at":"2026-05-28T01:04:33.184867+00:00","updated_at":"2026-05-28T01:04:33.184867+00:00"}