{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7NT2NMMKQCTEQ7RRC4FJMFYUB5","short_pith_number":"pith:7NT2NMMK","canonical_record":{"source":{"id":"1807.06912","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-18T13:16:13Z","cross_cats_sorted":[],"title_canon_sha256":"82d1f7f5a47d17ed497ff9e903aa2f4d6d51b19997d8e3a883509c4ee1fe31ef","abstract_canon_sha256":"e394794fa8e70bd41f85322c95415ee4f4734447e29717fe6992a841ab05fdac"},"schema_version":"1.0"},"canonical_sha256":"fb67a6b18a80a6487e31170a9617140f5975c6afa745c98300c326150dccdc9a","source":{"kind":"arxiv","id":"1807.06912","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.06912","created_at":"2026-05-17T23:39:27Z"},{"alias_kind":"arxiv_version","alias_value":"1807.06912v2","created_at":"2026-05-17T23:39:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.06912","created_at":"2026-05-17T23:39:27Z"},{"alias_kind":"pith_short_12","alias_value":"7NT2NMMKQCTE","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7NT2NMMKQCTEQ7RR","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7NT2NMMK","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7NT2NMMKQCTEQ7RRC4FJMFYUB5","target":"record","payload":{"canonical_record":{"source":{"id":"1807.06912","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-18T13:16:13Z","cross_cats_sorted":[],"title_canon_sha256":"82d1f7f5a47d17ed497ff9e903aa2f4d6d51b19997d8e3a883509c4ee1fe31ef","abstract_canon_sha256":"e394794fa8e70bd41f85322c95415ee4f4734447e29717fe6992a841ab05fdac"},"schema_version":"1.0"},"canonical_sha256":"fb67a6b18a80a6487e31170a9617140f5975c6afa745c98300c326150dccdc9a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:27.249625Z","signature_b64":"iw4tyHYg6qw4lVPFiJIP42c2MuKIRsqmihHP3eMV/GmRmPpFRUazaD+odu1YTdgBzT4E2xO8loUXXoMM+h2rAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb67a6b18a80a6487e31170a9617140f5975c6afa745c98300c326150dccdc9a","last_reissued_at":"2026-05-17T23:39:27.248965Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:27.248965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.06912","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":"2026-05-17T23:39:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DnBaLQgnCzYZkM9HYhg7C+VfqN55r2C6O1rLb2W32TZ7GwpWRHyJlIUVI3qEmjqDV7AvxhOQuvK0uZYmnOEWBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T23:05:22.567033Z"},"content_sha256":"3e13d0a481fc1c2dae52daf5d32b7c92b221f76a9b666168f21f588f57ecd14d","schema_version":"1.0","event_id":"sha256:3e13d0a481fc1c2dae52daf5d32b7c92b221f76a9b666168f21f588f57ecd14d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7NT2NMMKQCTEQ7RRC4FJMFYUB5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Greedy Approximate Projection for Magnetic Resonance Fingerprinting with Partial Volumes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Audrey Repetti, Mike Davies, Pedro A. G\\'omez, Roberto Duarte, Yves Wiaux","submitted_at":"2018-07-18T13:16:13Z","abstract_excerpt":"In quantitative Magnetic Resonance Imaging, traditional methods suffer from the so-called Partial Volume Effect (PVE) due to spatial resolution limitations. As a consequence of PVE, the parameters of the voxels containing more than one tissue are not correctly estimated. Magnetic Resonance Fingerprinting (MRF) is not an exception. The existing methods addressing PVE are neither scalable nor accurate. We propose to formulate the recovery of multiple tissues per voxel as a nonconvex constrained least-squares minimisation problem. To solve this problem, we develop a memory efficient, greedy appro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.06912","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":"2026-05-17T23:39:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q9x4jMEukkrkWzFHAoH2c9bIgiH4Pf/rz8cSZactoxu/F4hqe0T/QSskvAkpCkcJ6WjSqPnPRG3++BK+70JHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T23:05:22.567706Z"},"content_sha256":"170c061bf2b6788c8c9ae05390fd08f6108b379363b046f95e698dae19c77a30","schema_version":"1.0","event_id":"sha256:170c061bf2b6788c8c9ae05390fd08f6108b379363b046f95e698dae19c77a30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5/bundle.json","state_url":"https://pith.science/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5/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":"2026-06-06T23:05:22Z","links":{"resolver":"https://pith.science/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5","bundle":"https://pith.science/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5/bundle.json","state":"https://pith.science/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7NT2NMMKQCTEQ7RRC4FJMFYUB5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7NT2NMMKQCTEQ7RRC4FJMFYUB5","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":"e394794fa8e70bd41f85322c95415ee4f4734447e29717fe6992a841ab05fdac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-18T13:16:13Z","title_canon_sha256":"82d1f7f5a47d17ed497ff9e903aa2f4d6d51b19997d8e3a883509c4ee1fe31ef"},"schema_version":"1.0","source":{"id":"1807.06912","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.06912","created_at":"2026-05-17T23:39:27Z"},{"alias_kind":"arxiv_version","alias_value":"1807.06912v2","created_at":"2026-05-17T23:39:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.06912","created_at":"2026-05-17T23:39:27Z"},{"alias_kind":"pith_short_12","alias_value":"7NT2NMMKQCTE","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7NT2NMMKQCTEQ7RR","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7NT2NMMK","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:170c061bf2b6788c8c9ae05390fd08f6108b379363b046f95e698dae19c77a30","target":"graph","created_at":"2026-05-17T23:39:27Z","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":"In quantitative Magnetic Resonance Imaging, traditional methods suffer from the so-called Partial Volume Effect (PVE) due to spatial resolution limitations. As a consequence of PVE, the parameters of the voxels containing more than one tissue are not correctly estimated. Magnetic Resonance Fingerprinting (MRF) is not an exception. The existing methods addressing PVE are neither scalable nor accurate. We propose to formulate the recovery of multiple tissues per voxel as a nonconvex constrained least-squares minimisation problem. To solve this problem, we develop a memory efficient, greedy appro","authors_text":"Audrey Repetti, Mike Davies, Pedro A. G\\'omez, Roberto Duarte, Yves Wiaux","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-18T13:16:13Z","title":"Greedy Approximate Projection for Magnetic Resonance Fingerprinting with Partial Volumes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.06912","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":"sha256:3e13d0a481fc1c2dae52daf5d32b7c92b221f76a9b666168f21f588f57ecd14d","target":"record","created_at":"2026-05-17T23:39:27Z","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":"e394794fa8e70bd41f85322c95415ee4f4734447e29717fe6992a841ab05fdac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-18T13:16:13Z","title_canon_sha256":"82d1f7f5a47d17ed497ff9e903aa2f4d6d51b19997d8e3a883509c4ee1fe31ef"},"schema_version":"1.0","source":{"id":"1807.06912","kind":"arxiv","version":2}},"canonical_sha256":"fb67a6b18a80a6487e31170a9617140f5975c6afa745c98300c326150dccdc9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb67a6b18a80a6487e31170a9617140f5975c6afa745c98300c326150dccdc9a","first_computed_at":"2026-05-17T23:39:27.248965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:27.248965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iw4tyHYg6qw4lVPFiJIP42c2MuKIRsqmihHP3eMV/GmRmPpFRUazaD+odu1YTdgBzT4E2xO8loUXXoMM+h2rAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:27.249625Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.06912","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e13d0a481fc1c2dae52daf5d32b7c92b221f76a9b666168f21f588f57ecd14d","sha256:170c061bf2b6788c8c9ae05390fd08f6108b379363b046f95e698dae19c77a30"],"state_sha256":"f79a5b9e93f19a2381cc0ace3f765a83d50a45e3dc2162e876c43f5b64e229fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hPpl/IYoOAuDpnyXpbqJkNAXxSAoJ9mRkFZfAS+PQ2kF0vUZGDj7oN6SlRCamAk2E/gbsE9ewmr23ILWe155Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T23:05:22.571176Z","bundle_sha256":"7eee04f253c80f4525c06f79a162fd6d2a4828475fe2fe1cb858128de1c21d0b"}}