{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:S3G5CUFWA7MIVCRU3CECEEH7KV","short_pith_number":"pith:S3G5CUFW","schema_version":"1.0","canonical_sha256":"96cdd150b607d88a8a34d8882210ff554223d1267e7d50f5bad578af3eeeb84e","source":{"kind":"arxiv","id":"1907.07077","version":1},"attestation_state":"computed","paper":{"title":"Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Bradley Caron, Daniel Bullock, Emanuele Olivetti, Franco Pestilli, Giulia Bert\\`o, Paolo Avesani","submitted_at":"2019-07-16T15:42:21Z","abstract_excerpt":"Segmenting white matter bundles from human tractograms is a task of interest for several applications. Current methods for bundle segmentation consider either only prior knowledge about the relative anatomical position of a bundle, or only its geometrical properties. Our aim is to improve the results of segmentation by proposing a method that takes into account information about both the underlying anatomy and the geometry of bundles at the same time. To achieve this goal, we extend a state-of-the-art example-based method based on the Linear Assignment Problem (LAP) by including prior anatomic"},"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":"1907.07077","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-07-16T15:42:21Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e353943c196703a6f31cef0bd794950034f018fb4d3f769d52d75e1fde37711f","abstract_canon_sha256":"3f181529e3c38267ff653aa95a33e1b62903c408f57e8855959f830ad1b10cb4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:28.174018Z","signature_b64":"vU5OFVMFrb1HuvQPhmCDn56rdbcCuSLBbxSSUH0ehHhsNDjb2ZsXnKmJO8XTXzyqK0CDEiq1MwDpU7HYJx4rAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96cdd150b607d88a8a34d8882210ff554223d1267e7d50f5bad578af3eeeb84e","last_reissued_at":"2026-05-17T23:40:28.173089Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:28.173089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Bradley Caron, Daniel Bullock, Emanuele Olivetti, Franco Pestilli, Giulia Bert\\`o, Paolo Avesani","submitted_at":"2019-07-16T15:42:21Z","abstract_excerpt":"Segmenting white matter bundles from human tractograms is a task of interest for several applications. Current methods for bundle segmentation consider either only prior knowledge about the relative anatomical position of a bundle, or only its geometrical properties. Our aim is to improve the results of segmentation by proposing a method that takes into account information about both the underlying anatomy and the geometry of bundles at the same time. To achieve this goal, we extend a state-of-the-art example-based method based on the Linear Assignment Problem (LAP) by including prior anatomic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07077","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":"1907.07077","created_at":"2026-05-17T23:40:28.173221+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.07077v1","created_at":"2026-05-17T23:40:28.173221+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07077","created_at":"2026-05-17T23:40:28.173221+00:00"},{"alias_kind":"pith_short_12","alias_value":"S3G5CUFWA7MI","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"S3G5CUFWA7MIVCRU","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"S3G5CUFW","created_at":"2026-05-18T12:33:27.125529+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1907.07077","citing_title":"Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV","json":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV.json","graph_json":"https://pith.science/api/pith-number/S3G5CUFWA7MIVCRU3CECEEH7KV/graph.json","events_json":"https://pith.science/api/pith-number/S3G5CUFWA7MIVCRU3CECEEH7KV/events.json","paper":"https://pith.science/paper/S3G5CUFW"},"agent_actions":{"view_html":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV","download_json":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV.json","view_paper":"https://pith.science/paper/S3G5CUFW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.07077&json=true","fetch_graph":"https://pith.science/api/pith-number/S3G5CUFWA7MIVCRU3CECEEH7KV/graph.json","fetch_events":"https://pith.science/api/pith-number/S3G5CUFWA7MIVCRU3CECEEH7KV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV/action/storage_attestation","attest_author":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV/action/author_attestation","sign_citation":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV/action/citation_signature","submit_replication":"https://pith.science/pith/S3G5CUFWA7MIVCRU3CECEEH7KV/action/replication_record"}},"created_at":"2026-05-17T23:40:28.173221+00:00","updated_at":"2026-05-17T23:40:28.173221+00:00"}