{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:FVYHPYFCBDEQMUO5764U5MB5HZ","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":"b05e1ed14eb4f4fcfeca7dd7fc67c3e49dd1396d317ba081c7bfad78d96d0a3a","cross_cats_sorted":["cs.CV","q-bio.QM","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-27T07:40:16Z","title_canon_sha256":"cb6116cf11e90824b415a62bbd25e8792514dcb0e9b3ef9340838988994e044c"},"schema_version":"1.0","source":{"id":"1910.00095","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.00095","created_at":"2026-07-05T00:40:58Z"},{"alias_kind":"arxiv_version","alias_value":"1910.00095v3","created_at":"2026-07-05T00:40:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.00095","created_at":"2026-07-05T00:40:58Z"},{"alias_kind":"pith_short_12","alias_value":"FVYHPYFCBDEQ","created_at":"2026-07-05T00:40:58Z"},{"alias_kind":"pith_short_16","alias_value":"FVYHPYFCBDEQMUO5","created_at":"2026-07-05T00:40:58Z"},{"alias_kind":"pith_short_8","alias_value":"FVYHPYFC","created_at":"2026-07-05T00:40:58Z"}],"graph_snapshots":[{"event_id":"sha256:a741c910c9e2b1bef78c65af568e4fe33f562b7815f2b9e9f5c888b62a9098ff","target":"graph","created_at":"2026-07-05T00:40:58Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1910.00095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities. In this work, we introduce a novel and robust fitting framework for the standard two-compartment IVIM microstructural model. This framework provides a significant improvement over the existing methods and helps estimate the associated diffusion and perfusion parameters of IVIM in an automatic manner. As a part of this work we provide capabilities to switch between more advanced global optimization methods such as simplicial homology (SH) and differential evolution (","authors_text":"Ariel Rokem, Christoph Lenglet, Eleftherios Garyfallidis, Eric Peterson, Hamza Farooq, Hu Cheng, Maryam Afzali, Rafael Neto Henriques, Serge Koudoro, Shahnawaz Ahmed, Sharlene Newman, Shreyas Fadnavis, Tryphon Georgiou","cross_cats":["cs.CV","q-bio.QM","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-27T07:40:16Z","title":"Fitting IVIM with Variable Projection and Simplicial Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.00095","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:befd08292ad9b6345c7a683e1ae7b5ed6c38b8802a4fca9664ecf2ade0ca73c5","target":"record","created_at":"2026-07-05T00:40:58Z","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":"b05e1ed14eb4f4fcfeca7dd7fc67c3e49dd1396d317ba081c7bfad78d96d0a3a","cross_cats_sorted":["cs.CV","q-bio.QM","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-27T07:40:16Z","title_canon_sha256":"cb6116cf11e90824b415a62bbd25e8792514dcb0e9b3ef9340838988994e044c"},"schema_version":"1.0","source":{"id":"1910.00095","kind":"arxiv","version":3}},"canonical_sha256":"2d7077e0a208c90651ddffb94eb03d3e74e63453240e718ef51a0156b2ba0102","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d7077e0a208c90651ddffb94eb03d3e74e63453240e718ef51a0156b2ba0102","first_computed_at":"2026-07-05T00:40:58.917986Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:40:58.917986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ca5vsynZv5Cacn3nE2/4Le1fM/k9t3sOWmzGQilTFE32QUr1sF/ndhrsoqLyUMXcx8OyyTD9ljrFpldBtwtbCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:40:58.918513Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.00095","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:befd08292ad9b6345c7a683e1ae7b5ed6c38b8802a4fca9664ecf2ade0ca73c5","sha256:a741c910c9e2b1bef78c65af568e4fe33f562b7815f2b9e9f5c888b62a9098ff"],"state_sha256":"474749add41cf603b58b56d6ed65ed756170a6192e402002f6a30d51e5d8105c"}