{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:2BIUV2FHORMZUOZHE72V3IQN6Z","short_pith_number":"pith:2BIUV2FH","canonical_record":{"source":{"id":"1304.5054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2013-04-18T08:50:45Z","cross_cats_sorted":["physics.med-ph"],"title_canon_sha256":"57e87cca8ccd0e28fd7f677513f586259ddc60ae240b06e6d34b3c437c0f0808","abstract_canon_sha256":"34639c92cdf9150ce3b155beebc42d3e80543add4c11845cc5e325ce3495534d"},"schema_version":"1.0"},"canonical_sha256":"d0514ae8a774599a3b2727f55da20df64c327685973e79b70a5b5155219fd1ee","source":{"kind":"arxiv","id":"1304.5054","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.5054","created_at":"2026-05-18T03:05:35Z"},{"alias_kind":"arxiv_version","alias_value":"1304.5054v3","created_at":"2026-05-18T03:05:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.5054","created_at":"2026-05-18T03:05:35Z"},{"alias_kind":"pith_short_12","alias_value":"2BIUV2FHORMZ","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"2BIUV2FHORMZUOZH","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"2BIUV2FH","created_at":"2026-05-18T12:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:2BIUV2FHORMZUOZHE72V3IQN6Z","target":"record","payload":{"canonical_record":{"source":{"id":"1304.5054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2013-04-18T08:50:45Z","cross_cats_sorted":["physics.med-ph"],"title_canon_sha256":"57e87cca8ccd0e28fd7f677513f586259ddc60ae240b06e6d34b3c437c0f0808","abstract_canon_sha256":"34639c92cdf9150ce3b155beebc42d3e80543add4c11845cc5e325ce3495534d"},"schema_version":"1.0"},"canonical_sha256":"d0514ae8a774599a3b2727f55da20df64c327685973e79b70a5b5155219fd1ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:35.605343Z","signature_b64":"YxlD0shM8fKRCeLrxm5jWorZJirefr1r/h2Apfu8sIaKz+hQj6SFxzXbz5w3t1kzY8bGslKNUjJxFtadbQ1UCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0514ae8a774599a3b2727f55da20df64c327685973e79b70a5b5155219fd1ee","last_reissued_at":"2026-05-18T03:05:35.604757Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:35.604757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1304.5054","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:05:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bDMsQmPsGzQBWY3izxbp+Q8R8Njdct9V64sziYkcQoTpjBbc6tddpDmQw4l7+EQl6H3guLwnZAhlbItCaA+vCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T10:58:59.551254Z"},"content_sha256":"f4476375c86f5ea2296dd9324be8e040f66faf600852221c7e5609f74ccf06f9","schema_version":"1.0","event_id":"sha256:f4476375c86f5ea2296dd9324be8e040f66faf600852221c7e5609f74ccf06f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:2BIUV2FHORMZUOZHE72V3IQN6Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aggregated motion estimation for real-time MRI reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.med-ph"],"primary_cat":"math.NA","authors_text":"Axel Munk, Housen Li, Jens Frahm, Markus Haltmeier, Shuo Zhang","submitted_at":"2013-04-18T08:50:45Z","abstract_excerpt":"Real-time magnetic resonance imaging (MRI) methods generally shorten the measuring time by acquiring less data than needed according to the sampling theorem. In order to obtain a proper image from such undersampled data, the reconstruction is commonly defined as the solution of an inverse problem, which is regularized by a priori assumptions about the object. While practical realizations have hitherto been surprisingly successful, strong assumptions about the continuity of image features may affect the temporal fidelity of the estimated images. Here we propose a novel approach for the reconstr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.5054","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:05:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hPIwa/SaF5uu5584pqfYoBsBJ2039bnNAsZtOiZYZEXOAF1Xc1pG0MWCH0spAuq1t6aVTdmVkELkK141yIJECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T10:58:59.551608Z"},"content_sha256":"faae34fdfbb430cc5b54ff86e27b7cde9d95146dff685289b9095fb54c3d7330","schema_version":"1.0","event_id":"sha256:faae34fdfbb430cc5b54ff86e27b7cde9d95146dff685289b9095fb54c3d7330"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2BIUV2FHORMZUOZHE72V3IQN6Z/bundle.json","state_url":"https://pith.science/pith/2BIUV2FHORMZUOZHE72V3IQN6Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2BIUV2FHORMZUOZHE72V3IQN6Z/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-04T10:58:59Z","links":{"resolver":"https://pith.science/pith/2BIUV2FHORMZUOZHE72V3IQN6Z","bundle":"https://pith.science/pith/2BIUV2FHORMZUOZHE72V3IQN6Z/bundle.json","state":"https://pith.science/pith/2BIUV2FHORMZUOZHE72V3IQN6Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2BIUV2FHORMZUOZHE72V3IQN6Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:2BIUV2FHORMZUOZHE72V3IQN6Z","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"34639c92cdf9150ce3b155beebc42d3e80543add4c11845cc5e325ce3495534d","cross_cats_sorted":["physics.med-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2013-04-18T08:50:45Z","title_canon_sha256":"57e87cca8ccd0e28fd7f677513f586259ddc60ae240b06e6d34b3c437c0f0808"},"schema_version":"1.0","source":{"id":"1304.5054","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1304.5054","created_at":"2026-05-18T03:05:35Z"},{"alias_kind":"arxiv_version","alias_value":"1304.5054v3","created_at":"2026-05-18T03:05:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.5054","created_at":"2026-05-18T03:05:35Z"},{"alias_kind":"pith_short_12","alias_value":"2BIUV2FHORMZ","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"2BIUV2FHORMZUOZH","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"2BIUV2FH","created_at":"2026-05-18T12:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:faae34fdfbb430cc5b54ff86e27b7cde9d95146dff685289b9095fb54c3d7330","target":"graph","created_at":"2026-05-18T03:05:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Real-time magnetic resonance imaging (MRI) methods generally shorten the measuring time by acquiring less data than needed according to the sampling theorem. In order to obtain a proper image from such undersampled data, the reconstruction is commonly defined as the solution of an inverse problem, which is regularized by a priori assumptions about the object. While practical realizations have hitherto been surprisingly successful, strong assumptions about the continuity of image features may affect the temporal fidelity of the estimated images. Here we propose a novel approach for the reconstr","authors_text":"Axel Munk, Housen Li, Jens Frahm, Markus Haltmeier, Shuo Zhang","cross_cats":["physics.med-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2013-04-18T08:50:45Z","title":"Aggregated motion estimation for real-time MRI reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.5054","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f4476375c86f5ea2296dd9324be8e040f66faf600852221c7e5609f74ccf06f9","target":"record","created_at":"2026-05-18T03:05:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"34639c92cdf9150ce3b155beebc42d3e80543add4c11845cc5e325ce3495534d","cross_cats_sorted":["physics.med-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.NA","submitted_at":"2013-04-18T08:50:45Z","title_canon_sha256":"57e87cca8ccd0e28fd7f677513f586259ddc60ae240b06e6d34b3c437c0f0808"},"schema_version":"1.0","source":{"id":"1304.5054","kind":"arxiv","version":3}},"canonical_sha256":"d0514ae8a774599a3b2727f55da20df64c327685973e79b70a5b5155219fd1ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0514ae8a774599a3b2727f55da20df64c327685973e79b70a5b5155219fd1ee","first_computed_at":"2026-05-18T03:05:35.604757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:05:35.604757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YxlD0shM8fKRCeLrxm5jWorZJirefr1r/h2Apfu8sIaKz+hQj6SFxzXbz5w3t1kzY8bGslKNUjJxFtadbQ1UCg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:05:35.605343Z","signed_message":"canonical_sha256_bytes"},"source_id":"1304.5054","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4476375c86f5ea2296dd9324be8e040f66faf600852221c7e5609f74ccf06f9","sha256:faae34fdfbb430cc5b54ff86e27b7cde9d95146dff685289b9095fb54c3d7330"],"state_sha256":"3c181401f3872d4e44199dd931c4e8b43e97a16483acfb2e428bbfdd46545ad6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"firgt5hAvAHstUND6rnUuR8R+RVaqc9c/WJLlEuP5q4YD8AHnCaxpZey/u8L+v0gpwV6FeiVtcZ+YHCMsZpPAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T10:58:59.553540Z","bundle_sha256":"2a03c98c9ad72e11098bab4e2788e1d1f8d028de4e9c780c5dd5f569fd421841"}}