{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:XIRWGIQTAGWG24XBGOMOYAL34T","short_pith_number":"pith:XIRWGIQT","schema_version":"1.0","canonical_sha256":"ba2363221301ac6d72e13398ec017be4c9f586ba49d8c311e398b58241690b74","source":{"kind":"arxiv","id":"1806.04634","version":1},"attestation_state":"computed","paper":{"title":"Measures of Tractography Convergence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.TO","stat.AP"],"primary_cat":"q-bio.QM","authors_text":"Daniel Moyer, Greg Ver Steeg, Paul M. Thompson","submitted_at":"2018-06-12T16:30:25Z","abstract_excerpt":"In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the living brain. Based on diffusion MRI data, tractography is the starting point for many methods to study brain connectivity. Of the available methods to perform tractography, most reconstruct a finite set of streamlines, or 3D curves, representing probable connections between anatomical regions, yet relatively little is known about how the sampling of this set of streamlines affects downstream results, and how exhaust"},"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":"1806.04634","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2018-06-12T16:30:25Z","cross_cats_sorted":["cs.LG","q-bio.TO","stat.AP"],"title_canon_sha256":"055b5f5bb43ecc39f04a75b940812881ebe430d7053dacaf736881a037f50bf7","abstract_canon_sha256":"194fdaebf4e1b862113a6ad580ceccb760123aee65baeaf1559006d380e4d830"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:33.133178Z","signature_b64":"7wPv5MUgJZP8EXPCZw8VG/ym12PMMGwNzIPkPbJZrtmcvNUuWMnfg+XzrCoeWSoeeJ1NWb/E/IVqA+sONG5nDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba2363221301ac6d72e13398ec017be4c9f586ba49d8c311e398b58241690b74","last_reissued_at":"2026-05-18T00:13:33.132740Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:33.132740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Measures of Tractography Convergence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.TO","stat.AP"],"primary_cat":"q-bio.QM","authors_text":"Daniel Moyer, Greg Ver Steeg, Paul M. Thompson","submitted_at":"2018-06-12T16:30:25Z","abstract_excerpt":"In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the living brain. Based on diffusion MRI data, tractography is the starting point for many methods to study brain connectivity. Of the available methods to perform tractography, most reconstruct a finite set of streamlines, or 3D curves, representing probable connections between anatomical regions, yet relatively little is known about how the sampling of this set of streamlines affects downstream results, and how exhaust"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.04634","kind":"arxiv","version":1},"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":"1806.04634","created_at":"2026-05-18T00:13:33.132806+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.04634v1","created_at":"2026-05-18T00:13:33.132806+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.04634","created_at":"2026-05-18T00:13:33.132806+00:00"},{"alias_kind":"pith_short_12","alias_value":"XIRWGIQTAGWG","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_16","alias_value":"XIRWGIQTAGWG24XB","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_8","alias_value":"XIRWGIQT","created_at":"2026-05-18T12:33:01.666342+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/XIRWGIQTAGWG24XBGOMOYAL34T","json":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T.json","graph_json":"https://pith.science/api/pith-number/XIRWGIQTAGWG24XBGOMOYAL34T/graph.json","events_json":"https://pith.science/api/pith-number/XIRWGIQTAGWG24XBGOMOYAL34T/events.json","paper":"https://pith.science/paper/XIRWGIQT"},"agent_actions":{"view_html":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T","download_json":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T.json","view_paper":"https://pith.science/paper/XIRWGIQT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.04634&json=true","fetch_graph":"https://pith.science/api/pith-number/XIRWGIQTAGWG24XBGOMOYAL34T/graph.json","fetch_events":"https://pith.science/api/pith-number/XIRWGIQTAGWG24XBGOMOYAL34T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T/action/storage_attestation","attest_author":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T/action/author_attestation","sign_citation":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T/action/citation_signature","submit_replication":"https://pith.science/pith/XIRWGIQTAGWG24XBGOMOYAL34T/action/replication_record"}},"created_at":"2026-05-18T00:13:33.132806+00:00","updated_at":"2026-05-18T00:13:33.132806+00:00"}