{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:TOHJT5SPZDFEODG4LKS7YFY2IS","short_pith_number":"pith:TOHJT5SP","schema_version":"1.0","canonical_sha256":"9b8e99f64fc8ca470cdc5aa5fc171a448a71a769c6cdb64009dc4ad01729520c","source":{"kind":"arxiv","id":"1411.0721","version":3},"attestation_state":"computed","paper":{"title":"Evaluating the accuracy of diffusion MRI models in white matter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.QM","authors_text":"Ariel Rokem, Aviv Mezer, Brian A. Wandell, Franco Pestilli, Jason D. Yeatman, Kendrick N. Kay, Stefan Van Der Walt","submitted_at":"2014-11-03T22:25:33Z","abstract_excerpt":"Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorithms. A useful model must fit the data accurately. However, evaluations of model-accuracy of some of the models that are commonly used in analyzing human white matter have not been published before. Here, we evaluate model-accuracy of the two main classes of diffusion MRI models. The diffusion tensor model (DTM) summarizes diffusion as a 3-dimensional Gaussian distribution. Sparse fascicle models (SFM) summarize the s"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1411.0721","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2014-11-03T22:25:33Z","cross_cats_sorted":[],"title_canon_sha256":"72c18a1f1f16d3367980fc7b5e3d1e62ea9e69e9e0d0e25e357d269c9dee7576","abstract_canon_sha256":"fb07804c764549308a78d91f068cdbebbb5f520b88db9a5ce9f3ae2b937aa8fe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:18.932725Z","signature_b64":"y5demPEIvl53ikdpo3xLeHIV2wHqoy8KFsCVigOr1yf0YtJ2nYPTyWpnl9e0fspmN+Xz1ctL75B3QPvyE9XXDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b8e99f64fc8ca470cdc5aa5fc171a448a71a769c6cdb64009dc4ad01729520c","last_reissued_at":"2026-05-18T00:51:18.932094Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:18.932094Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating the accuracy of diffusion MRI models in white matter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.QM","authors_text":"Ariel Rokem, Aviv Mezer, Brian A. Wandell, Franco Pestilli, Jason D. Yeatman, Kendrick N. Kay, Stefan Van Der Walt","submitted_at":"2014-11-03T22:25:33Z","abstract_excerpt":"Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorithms. A useful model must fit the data accurately. However, evaluations of model-accuracy of some of the models that are commonly used in analyzing human white matter have not been published before. Here, we evaluate model-accuracy of the two main classes of diffusion MRI models. The diffusion tensor model (DTM) summarizes diffusion as a 3-dimensional Gaussian distribution. Sparse fascicle models (SFM) summarize the s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.0721","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1411.0721","created_at":"2026-05-18T00:51:18.932207+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.0721v3","created_at":"2026-05-18T00:51:18.932207+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.0721","created_at":"2026-05-18T00:51:18.932207+00:00"},{"alias_kind":"pith_short_12","alias_value":"TOHJT5SPZDFE","created_at":"2026-05-18T12:28:49.207871+00:00"},{"alias_kind":"pith_short_16","alias_value":"TOHJT5SPZDFEODG4","created_at":"2026-05-18T12:28:49.207871+00:00"},{"alias_kind":"pith_short_8","alias_value":"TOHJT5SP","created_at":"2026-05-18T12:28:49.207871+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS","json":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS.json","graph_json":"https://pith.science/api/pith-number/TOHJT5SPZDFEODG4LKS7YFY2IS/graph.json","events_json":"https://pith.science/api/pith-number/TOHJT5SPZDFEODG4LKS7YFY2IS/events.json","paper":"https://pith.science/paper/TOHJT5SP"},"agent_actions":{"view_html":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS","download_json":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS.json","view_paper":"https://pith.science/paper/TOHJT5SP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.0721&json=true","fetch_graph":"https://pith.science/api/pith-number/TOHJT5SPZDFEODG4LKS7YFY2IS/graph.json","fetch_events":"https://pith.science/api/pith-number/TOHJT5SPZDFEODG4LKS7YFY2IS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS/action/storage_attestation","attest_author":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS/action/author_attestation","sign_citation":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS/action/citation_signature","submit_replication":"https://pith.science/pith/TOHJT5SPZDFEODG4LKS7YFY2IS/action/replication_record"}},"created_at":"2026-05-18T00:51:18.932207+00:00","updated_at":"2026-05-18T00:51:18.932207+00:00"}