{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:RMY4MM7TKAZTRPAXRCAF6GSXGK","short_pith_number":"pith:RMY4MM7T","canonical_record":{"source":{"id":"1608.06974","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2016-08-24T21:33:25Z","cross_cats_sorted":[],"title_canon_sha256":"47b7fa132c28fb744e3ec05d314e00fd0bef25eb542f95a5d99a41a034f97d2b","abstract_canon_sha256":"617e1735c089d180e61c28fea3318c596005fca931835a8ec7a982533998d0ee"},"schema_version":"1.0"},"canonical_sha256":"8b31c633f3503338bc1788805f1a57329d307d3d22634784fec6eba46c4c725f","source":{"kind":"arxiv","id":"1608.06974","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.06974","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1608.06974v2","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.06974","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"RMY4MM7TKAZT","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RMY4MM7TKAZTRPAX","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RMY4MM7T","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:RMY4MM7TKAZTRPAXRCAF6GSXGK","target":"record","payload":{"canonical_record":{"source":{"id":"1608.06974","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2016-08-24T21:33:25Z","cross_cats_sorted":[],"title_canon_sha256":"47b7fa132c28fb744e3ec05d314e00fd0bef25eb542f95a5d99a41a034f97d2b","abstract_canon_sha256":"617e1735c089d180e61c28fea3318c596005fca931835a8ec7a982533998d0ee"},"schema_version":"1.0"},"canonical_sha256":"8b31c633f3503338bc1788805f1a57329d307d3d22634784fec6eba46c4c725f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:09.533544Z","signature_b64":"0zqmVxLAgaDuR7LLS71BspCDwQCAcw2babuSd3PCTZIZo6K/iv5lWMNOs6w+CI7tz7QX1hWYeu/snmgLG3g5Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b31c633f3503338bc1788805f1a57329d307d3d22634784fec6eba46c4c725f","last_reissued_at":"2026-05-18T00:50:09.532992Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:09.532992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.06974","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zh7E7wtKrANPjjhVLRByudkXEHLVuc7084s3ZmvBzTLwKeLfZF1Nqcls9lFm/aRkkXqng8YcHCvjPQeblPVoCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T01:41:19.569870Z"},"content_sha256":"508ce1b449c105fc88d61b73851b26947864f528c713e7a0a227b54b73f0e980","schema_version":"1.0","event_id":"sha256:508ce1b449c105fc88d61b73851b26947864f528c713e7a0a227b54b73f0e980"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:RMY4MM7TKAZTRPAXRCAF6GSXGK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Daniel K Sodickson, Florian Knoll, Jakob Assl\\\"ander, J\\\"urgen Hennig, Martijn A Cloos, Riccardo Lattanzi","submitted_at":"2016-08-24T21:33:25Z","abstract_excerpt":"Purpose\n  The proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for Magnetic Resonance Fingerprinting (MRF).\n  Methods\n  Based on a singular value decomposition (SVD) of the signal evolution, MRF is formulated as a low rank inverse problem in which one image is reconstructed for each singular value under consideration. This low rank approximation of the signal evolution reduces the computational burden by reducing the number of Fourier transformations. Also, the low rank approximation improves the conditioning of the problem, which "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.06974","kind":"arxiv","version":2},"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":"2026-05-18T00:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uND8q8LXqX0Nu5UM8DGMO5koKo6B0R8Ox0/I9PO43p5WGbmGusgCs/e8HcJv2f4NyPl3tOQJkD/t1fQU3fk6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T01:41:19.570241Z"},"content_sha256":"4648c4fa40eb6ad8fbf0ecfbf7ec1d326263176537d7b1c6b4603e3f1d30d799","schema_version":"1.0","event_id":"sha256:4648c4fa40eb6ad8fbf0ecfbf7ec1d326263176537d7b1c6b4603e3f1d30d799"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK/bundle.json","state_url":"https://pith.science/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK/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":"2026-06-22T01:41:19Z","links":{"resolver":"https://pith.science/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK","bundle":"https://pith.science/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK/bundle.json","state":"https://pith.science/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RMY4MM7TKAZTRPAXRCAF6GSXGK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:RMY4MM7TKAZTRPAXRCAF6GSXGK","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":"617e1735c089d180e61c28fea3318c596005fca931835a8ec7a982533998d0ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2016-08-24T21:33:25Z","title_canon_sha256":"47b7fa132c28fb744e3ec05d314e00fd0bef25eb542f95a5d99a41a034f97d2b"},"schema_version":"1.0","source":{"id":"1608.06974","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.06974","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1608.06974v2","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.06974","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"RMY4MM7TKAZT","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RMY4MM7TKAZTRPAX","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RMY4MM7T","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:4648c4fa40eb6ad8fbf0ecfbf7ec1d326263176537d7b1c6b4603e3f1d30d799","target":"graph","created_at":"2026-05-18T00:50:09Z","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":"Purpose\n  The proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for Magnetic Resonance Fingerprinting (MRF).\n  Methods\n  Based on a singular value decomposition (SVD) of the signal evolution, MRF is formulated as a low rank inverse problem in which one image is reconstructed for each singular value under consideration. This low rank approximation of the signal evolution reduces the computational burden by reducing the number of Fourier transformations. Also, the low rank approximation improves the conditioning of the problem, which ","authors_text":"Daniel K Sodickson, Florian Knoll, Jakob Assl\\\"ander, J\\\"urgen Hennig, Martijn A Cloos, Riccardo Lattanzi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2016-08-24T21:33:25Z","title":"Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.06974","kind":"arxiv","version":2},"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":"sha256:508ce1b449c105fc88d61b73851b26947864f528c713e7a0a227b54b73f0e980","target":"record","created_at":"2026-05-18T00:50:09Z","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":"617e1735c089d180e61c28fea3318c596005fca931835a8ec7a982533998d0ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2016-08-24T21:33:25Z","title_canon_sha256":"47b7fa132c28fb744e3ec05d314e00fd0bef25eb542f95a5d99a41a034f97d2b"},"schema_version":"1.0","source":{"id":"1608.06974","kind":"arxiv","version":2}},"canonical_sha256":"8b31c633f3503338bc1788805f1a57329d307d3d22634784fec6eba46c4c725f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b31c633f3503338bc1788805f1a57329d307d3d22634784fec6eba46c4c725f","first_computed_at":"2026-05-18T00:50:09.532992Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:09.532992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0zqmVxLAgaDuR7LLS71BspCDwQCAcw2babuSd3PCTZIZo6K/iv5lWMNOs6w+CI7tz7QX1hWYeu/snmgLG3g5Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:09.533544Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.06974","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:508ce1b449c105fc88d61b73851b26947864f528c713e7a0a227b54b73f0e980","sha256:4648c4fa40eb6ad8fbf0ecfbf7ec1d326263176537d7b1c6b4603e3f1d30d799"],"state_sha256":"12aebdba8720b61565795f98a1070f0f575e315b9bcb6ce71865d7bf3b6d708e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KLQ/4xafLyC/3dpTrY6UebNP14DRumW8tFz/2J/D+1a9ZA8OqmxUnNiq0OAu1dKAaMyDskNLZxkXTbCoWJoPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T01:41:19.572246Z","bundle_sha256":"85f7c77d8fc2810444cd45c3f884523ce64e1c9cd971adb904e906c79da6fb71"}}