{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WBOITVMM44D7F7E7QQEYAW2NJ4","short_pith_number":"pith:WBOITVMM","schema_version":"1.0","canonical_sha256":"b05c89d58ce707f2fc9f8409805b4d4f3c5a2f8e3e3430b0c3c635aabf3247a7","source":{"kind":"arxiv","id":"2603.03710","version":3},"attestation_state":"computed","paper":{"title":"MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chen Jin, Daniel C. Alexander, Henry F. J. Tregidgo, Matteo Figini, Seunghoi Kim","submitted_at":"2026-03-04T04:25:32Z","abstract_excerpt":"Zero-shot MRI reconstruction relies on generative priors, but single-modality unconditional priors produce hallucinations under severe ill-posedness. In many clinical workflows, complementary MRI acquisitions (e.g. high-quality structural scans) are routinely available, yet existing reconstruction methods lack mechanisms to leverage this additional information. We propose MPFlow, a zero-shot multi-modal reconstruction framework built on rectified flow that incorporates auxiliary MRI modalities at inference time without retraining the generative prior to improve anatomical fidelity. Cross-modal"},"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":"2603.03710","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-03-04T04:25:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d6e944a9a77ab1f7e521f27fbe4a6ddedee95a0feac9de926a4506b831330001","abstract_canon_sha256":"4ddea1d9eb8a3ac93838cc194624f31468be4f3a69ed12e456c2e55b89ec3d3b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:15:04.302489Z","signature_b64":"5YeiDwW4EpQjEJWYSgeLTiugyUWk47w+hPpYzZAjN6nINSFw2MdSCtOi5h7PU7dau0pm65iWCIJynHY7Ebi5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b05c89d58ce707f2fc9f8409805b4d4f3c5a2f8e3e3430b0c3c635aabf3247a7","last_reissued_at":"2026-06-29T01:15:04.301997Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:15:04.301997Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chen Jin, Daniel C. Alexander, Henry F. J. Tregidgo, Matteo Figini, Seunghoi Kim","submitted_at":"2026-03-04T04:25:32Z","abstract_excerpt":"Zero-shot MRI reconstruction relies on generative priors, but single-modality unconditional priors produce hallucinations under severe ill-posedness. In many clinical workflows, complementary MRI acquisitions (e.g. high-quality structural scans) are routinely available, yet existing reconstruction methods lack mechanisms to leverage this additional information. We propose MPFlow, a zero-shot multi-modal reconstruction framework built on rectified flow that incorporates auxiliary MRI modalities at inference time without retraining the generative prior to improve anatomical fidelity. Cross-modal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.03710","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/2603.03710/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":"2603.03710","created_at":"2026-06-29T01:15:04.302050+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.03710v3","created_at":"2026-06-29T01:15:04.302050+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.03710","created_at":"2026-06-29T01:15:04.302050+00:00"},{"alias_kind":"pith_short_12","alias_value":"WBOITVMM44D7","created_at":"2026-06-29T01:15:04.302050+00:00"},{"alias_kind":"pith_short_16","alias_value":"WBOITVMM44D7F7E7","created_at":"2026-06-29T01:15:04.302050+00:00"},{"alias_kind":"pith_short_8","alias_value":"WBOITVMM","created_at":"2026-06-29T01:15:04.302050+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/WBOITVMM44D7F7E7QQEYAW2NJ4","json":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4.json","graph_json":"https://pith.science/api/pith-number/WBOITVMM44D7F7E7QQEYAW2NJ4/graph.json","events_json":"https://pith.science/api/pith-number/WBOITVMM44D7F7E7QQEYAW2NJ4/events.json","paper":"https://pith.science/paper/WBOITVMM"},"agent_actions":{"view_html":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4","download_json":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4.json","view_paper":"https://pith.science/paper/WBOITVMM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.03710&json=true","fetch_graph":"https://pith.science/api/pith-number/WBOITVMM44D7F7E7QQEYAW2NJ4/graph.json","fetch_events":"https://pith.science/api/pith-number/WBOITVMM44D7F7E7QQEYAW2NJ4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4/action/storage_attestation","attest_author":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4/action/author_attestation","sign_citation":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4/action/citation_signature","submit_replication":"https://pith.science/pith/WBOITVMM44D7F7E7QQEYAW2NJ4/action/replication_record"}},"created_at":"2026-06-29T01:15:04.302050+00:00","updated_at":"2026-06-29T01:15:04.302050+00:00"}