{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:GDQLGKDHSOFY3MGRFXADLXWVQU","short_pith_number":"pith:GDQLGKDH","canonical_record":{"source":{"id":"1312.2465","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-12-09T15:26:03Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"17781883531240b5011c086fc36d235cb8aa0ed2a3384d591448feedef70df26","abstract_canon_sha256":"310b0ff6af11c02b4e0daf1510750ff2f548adb2926457f54dec8725a4f6e637"},"schema_version":"1.0"},"canonical_sha256":"30e0b32867938b8db0d12dc035ded585030f5caac92c37e80c2b0163fd7ba3b5","source":{"kind":"arxiv","id":"1312.2465","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.2465","created_at":"2026-05-18T02:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1312.2465v2","created_at":"2026-05-18T02:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.2465","created_at":"2026-05-18T02:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"GDQLGKDHSOFY","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_16","alias_value":"GDQLGKDHSOFY3MGR","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_8","alias_value":"GDQLGKDH","created_at":"2026-05-18T12:27:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:GDQLGKDHSOFY3MGRFXADLXWVQU","target":"record","payload":{"canonical_record":{"source":{"id":"1312.2465","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-12-09T15:26:03Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"17781883531240b5011c086fc36d235cb8aa0ed2a3384d591448feedef70df26","abstract_canon_sha256":"310b0ff6af11c02b4e0daf1510750ff2f548adb2926457f54dec8725a4f6e637"},"schema_version":"1.0"},"canonical_sha256":"30e0b32867938b8db0d12dc035ded585030f5caac92c37e80c2b0163fd7ba3b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:50:22.812833Z","signature_b64":"7kuPsR/LrwYH4PmJoALSsnW5HfEQsBDQuC5IqxwzZQE+bRjhvVI8fyPcbcQhMXaNGRACQVd6qT/ft+MMXtd6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30e0b32867938b8db0d12dc035ded585030f5caac92c37e80c2b0163fd7ba3b5","last_reissued_at":"2026-05-18T02:50:22.812150Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:50:22.812150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1312.2465","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":"2026-05-18T02:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ktXEXoVGe4xgzz4qT5v+Rpx61BnVOquePyqMfHiS6iwpWZx0m0e+UECH+oiOMs8e5WygN8whczifJ3QrxpHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:37:57.617495Z"},"content_sha256":"41e69d4bae9ba908e4518968bbabab5a6e4b14a9676dc2791901da402b6ce2c0","schema_version":"1.0","event_id":"sha256:41e69d4bae9ba908e4518968bbabab5a6e4b14a9676dc2791901da402b6ce2c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:GDQLGKDHSOFY3MGRFXADLXWVQU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Compressed Sensing Framework for Magnetic Resonance Fingerprinting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Gilles Puy, Mike Davies, Pierre Vandergheynst, Yves Wiaux","submitted_at":"2013-12-09T15:26:03Z","abstract_excerpt":"Inspired by the recently proposed Magnetic Resonance Fingerprinting (MRF) technique, we develop a principled compressed sensing framework for quantitative MRI. The three key components are: a random pulse excitation sequence following the MRF technique; a random EPI subsampling strategy and an iterative projection algorithm that imposes consistency with the Bloch equations. We show that theoretically, as long as the excitation sequence possesses an appropriate form of persistent excitation, we are able to accurately recover the proton density, T1, T2 and off-resonance maps simultaneously from "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.2465","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":"2026-05-18T02:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jjZdXesX1qf7e+x4eQrlA6d5qj9iLRLjDCKe8lBxpAY6W+vIJ3fDIibcObIFNX9OdwZonUyBe8YIrsFJMHN5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:37:57.617840Z"},"content_sha256":"65a654886b94bb11a03942dc2f3af342f89b659d7ca530aed01a1b1647588c92","schema_version":"1.0","event_id":"sha256:65a654886b94bb11a03942dc2f3af342f89b659d7ca530aed01a1b1647588c92"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GDQLGKDHSOFY3MGRFXADLXWVQU/bundle.json","state_url":"https://pith.science/pith/GDQLGKDHSOFY3MGRFXADLXWVQU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GDQLGKDHSOFY3MGRFXADLXWVQU/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":"2026-06-01T18:37:57Z","links":{"resolver":"https://pith.science/pith/GDQLGKDHSOFY3MGRFXADLXWVQU","bundle":"https://pith.science/pith/GDQLGKDHSOFY3MGRFXADLXWVQU/bundle.json","state":"https://pith.science/pith/GDQLGKDHSOFY3MGRFXADLXWVQU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GDQLGKDHSOFY3MGRFXADLXWVQU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:GDQLGKDHSOFY3MGRFXADLXWVQU","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":"310b0ff6af11c02b4e0daf1510750ff2f548adb2926457f54dec8725a4f6e637","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-12-09T15:26:03Z","title_canon_sha256":"17781883531240b5011c086fc36d235cb8aa0ed2a3384d591448feedef70df26"},"schema_version":"1.0","source":{"id":"1312.2465","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.2465","created_at":"2026-05-18T02:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1312.2465v2","created_at":"2026-05-18T02:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.2465","created_at":"2026-05-18T02:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"GDQLGKDHSOFY","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_16","alias_value":"GDQLGKDHSOFY3MGR","created_at":"2026-05-18T12:27:45Z"},{"alias_kind":"pith_short_8","alias_value":"GDQLGKDH","created_at":"2026-05-18T12:27:45Z"}],"graph_snapshots":[{"event_id":"sha256:65a654886b94bb11a03942dc2f3af342f89b659d7ca530aed01a1b1647588c92","target":"graph","created_at":"2026-05-18T02:50:22Z","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":"Inspired by the recently proposed Magnetic Resonance Fingerprinting (MRF) technique, we develop a principled compressed sensing framework for quantitative MRI. The three key components are: a random pulse excitation sequence following the MRF technique; a random EPI subsampling strategy and an iterative projection algorithm that imposes consistency with the Bloch equations. We show that theoretically, as long as the excitation sequence possesses an appropriate form of persistent excitation, we are able to accurately recover the proton density, T1, T2 and off-resonance maps simultaneously from ","authors_text":"Gilles Puy, Mike Davies, Pierre Vandergheynst, Yves Wiaux","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-12-09T15:26:03Z","title":"A Compressed Sensing Framework for Magnetic Resonance Fingerprinting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.2465","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":"sha256:41e69d4bae9ba908e4518968bbabab5a6e4b14a9676dc2791901da402b6ce2c0","target":"record","created_at":"2026-05-18T02:50:22Z","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":"310b0ff6af11c02b4e0daf1510750ff2f548adb2926457f54dec8725a4f6e637","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2013-12-09T15:26:03Z","title_canon_sha256":"17781883531240b5011c086fc36d235cb8aa0ed2a3384d591448feedef70df26"},"schema_version":"1.0","source":{"id":"1312.2465","kind":"arxiv","version":2}},"canonical_sha256":"30e0b32867938b8db0d12dc035ded585030f5caac92c37e80c2b0163fd7ba3b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30e0b32867938b8db0d12dc035ded585030f5caac92c37e80c2b0163fd7ba3b5","first_computed_at":"2026-05-18T02:50:22.812150Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:50:22.812150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7kuPsR/LrwYH4PmJoALSsnW5HfEQsBDQuC5IqxwzZQE+bRjhvVI8fyPcbcQhMXaNGRACQVd6qT/ft+MMXtd6Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:50:22.812833Z","signed_message":"canonical_sha256_bytes"},"source_id":"1312.2465","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41e69d4bae9ba908e4518968bbabab5a6e4b14a9676dc2791901da402b6ce2c0","sha256:65a654886b94bb11a03942dc2f3af342f89b659d7ca530aed01a1b1647588c92"],"state_sha256":"928a07c92460a43de8fc393842ba80e5ab6346d2f092c6f16962ca2f9859fdd6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5nomP5oKKmPBJl6I+c/jwegL52byCQE5dJPjN4za4Xx/18g/6wKeFsuIrMpTOEqSV6H1gP1zyvc+PvxWjL0RDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T18:37:57.619800Z","bundle_sha256":"2ebfa81b7b8e4e87fe4b7fab543355dccd2c136dac7c8016621a84450b5307bc"}}