{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:SKHONXLP2AJSGL3L3JYI35CE73","short_pith_number":"pith:SKHONXLP","schema_version":"1.0","canonical_sha256":"928ee6dd6fd013232f6bda708df444fed6dae2d59bcedb796bd53d701a9e1921","source":{"kind":"arxiv","id":"2308.09298","version":1},"attestation_state":"computed","paper":{"title":"Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lisheng Wang, Rui Xin, Tao Yang, Yusheng Liu","submitted_at":"2023-08-18T04:48:23Z","abstract_excerpt":"Inferior Alveolar Nerve (IAN) canal detection in CBCT is an important step in many dental and maxillofacial surgery applications to prevent irreversible damage to the nerve during the procedure.The ToothFairy2023 Challenge aims to establish a 3D maxillofacial dataset consisting of all sparse labels and partial dense labels, and improve the ability of automatic IAN segmentation. In this work, in order to avoid the negative impact brought by sparse labeling, we transform the mixed supervised problem into a semi-supervised problem. Inspired by self-training via pseudo labeling, we propose a selec"},"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":"2308.09298","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T04:48:23Z","cross_cats_sorted":[],"title_canon_sha256":"a68e589f9b0be853ede84452f1171ea6dfe71290fd7ea8a9eaa16287964c1aa5","abstract_canon_sha256":"7658ff687c7621b29697666d917d97785f223c6e1e2e471489d9f0cf523a3819"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:30.496643Z","signature_b64":"7JzTgwcvhl8ddDCDLPzYlfTtjM1Fegn6jyuYyTFj+6qEfXJ4+lQ1ZkgpitQ08aaP8c57xb8YVaiba/3Pn7WzAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"928ee6dd6fd013232f6bda708df444fed6dae2d59bcedb796bd53d701a9e1921","last_reissued_at":"2026-07-05T06:42:30.496174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:30.496174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lisheng Wang, Rui Xin, Tao Yang, Yusheng Liu","submitted_at":"2023-08-18T04:48:23Z","abstract_excerpt":"Inferior Alveolar Nerve (IAN) canal detection in CBCT is an important step in many dental and maxillofacial surgery applications to prevent irreversible damage to the nerve during the procedure.The ToothFairy2023 Challenge aims to establish a 3D maxillofacial dataset consisting of all sparse labels and partial dense labels, and improve the ability of automatic IAN segmentation. In this work, in order to avoid the negative impact brought by sparse labeling, we transform the mixed supervised problem into a semi-supervised problem. Inspired by self-training via pseudo labeling, we propose a selec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09298","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.09298/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2308.09298","created_at":"2026-07-05T06:42:30.496230+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.09298v1","created_at":"2026-07-05T06:42:30.496230+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09298","created_at":"2026-07-05T06:42:30.496230+00:00"},{"alias_kind":"pith_short_12","alias_value":"SKHONXLP2AJS","created_at":"2026-07-05T06:42:30.496230+00:00"},{"alias_kind":"pith_short_16","alias_value":"SKHONXLP2AJSGL3L","created_at":"2026-07-05T06:42:30.496230+00:00"},{"alias_kind":"pith_short_8","alias_value":"SKHONXLP","created_at":"2026-07-05T06:42:30.496230+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/SKHONXLP2AJSGL3L3JYI35CE73","json":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73.json","graph_json":"https://pith.science/api/pith-number/SKHONXLP2AJSGL3L3JYI35CE73/graph.json","events_json":"https://pith.science/api/pith-number/SKHONXLP2AJSGL3L3JYI35CE73/events.json","paper":"https://pith.science/paper/SKHONXLP"},"agent_actions":{"view_html":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73","download_json":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73.json","view_paper":"https://pith.science/paper/SKHONXLP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.09298&json=true","fetch_graph":"https://pith.science/api/pith-number/SKHONXLP2AJSGL3L3JYI35CE73/graph.json","fetch_events":"https://pith.science/api/pith-number/SKHONXLP2AJSGL3L3JYI35CE73/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73/action/storage_attestation","attest_author":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73/action/author_attestation","sign_citation":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73/action/citation_signature","submit_replication":"https://pith.science/pith/SKHONXLP2AJSGL3L3JYI35CE73/action/replication_record"}},"created_at":"2026-07-05T06:42:30.496230+00:00","updated_at":"2026-07-05T06:42:30.496230+00:00"}