{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:UT4VXN5OUKHMXI26Y5PWHRZPKD","short_pith_number":"pith:UT4VXN5O","schema_version":"1.0","canonical_sha256":"a4f95bb7aea28ecba35ec75f63c72f50cc063ecff00e05a3b61fe4b7298ffc45","source":{"kind":"arxiv","id":"1602.01644","version":1},"attestation_state":"computed","paper":{"title":"A semi-automatic computer-aided method for surgical template design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CG","cs.CV"],"primary_cat":"cs.GR","authors_text":"Jan Egger, Lu Xu, Xiaojun Chen, Yue Yang","submitted_at":"2016-02-04T11:33:22Z","abstract_excerpt":"This paper presents a generalized integrated framework of semi-automatic surgical template design. Several algorithms were implemented including the mesh segmentation, offset surface generation, collision detection, ruled surface generation, etc., and a special software named TemDesigner was developed. With a simple user interface, a customized template can be semi- automatically designed according to the preoperative plan. Firstly, mesh segmentation with signed scalar of vertex is utilized to partition the inner surface from the input surface mesh based on the indicated point loop. Then, the "},"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":"1602.01644","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2016-02-04T11:33:22Z","cross_cats_sorted":["cs.CG","cs.CV"],"title_canon_sha256":"f70179e6c722b242a833fc1660590f9b00bc231949d18bda06bf8a823490bea1","abstract_canon_sha256":"023b04f030636928ad365f88eba839a540cbb7fcc67adc7e5b5bd0b387caaa58"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:15.248298Z","signature_b64":"LFI5J75jbqBDXXJH21WvgAeWDd7BiABZFjZtdSfL/gDI/MUIKsmG7vPdkSjtgTYqL+tyfiKO5lTLSdwV2jofAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4f95bb7aea28ecba35ec75f63c72f50cc063ecff00e05a3b61fe4b7298ffc45","last_reissued_at":"2026-05-18T01:21:15.247762Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:15.247762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A semi-automatic computer-aided method for surgical template design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CG","cs.CV"],"primary_cat":"cs.GR","authors_text":"Jan Egger, Lu Xu, Xiaojun Chen, Yue Yang","submitted_at":"2016-02-04T11:33:22Z","abstract_excerpt":"This paper presents a generalized integrated framework of semi-automatic surgical template design. Several algorithms were implemented including the mesh segmentation, offset surface generation, collision detection, ruled surface generation, etc., and a special software named TemDesigner was developed. With a simple user interface, a customized template can be semi- automatically designed according to the preoperative plan. Firstly, mesh segmentation with signed scalar of vertex is utilized to partition the inner surface from the input surface mesh based on the indicated point loop. Then, the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01644","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":"1602.01644","created_at":"2026-05-18T01:21:15.247854+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.01644v1","created_at":"2026-05-18T01:21:15.247854+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01644","created_at":"2026-05-18T01:21:15.247854+00:00"},{"alias_kind":"pith_short_12","alias_value":"UT4VXN5OUKHM","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_16","alias_value":"UT4VXN5OUKHMXI26","created_at":"2026-05-18T12:30:46.583412+00:00"},{"alias_kind":"pith_short_8","alias_value":"UT4VXN5O","created_at":"2026-05-18T12:30:46.583412+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/UT4VXN5OUKHMXI26Y5PWHRZPKD","json":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD.json","graph_json":"https://pith.science/api/pith-number/UT4VXN5OUKHMXI26Y5PWHRZPKD/graph.json","events_json":"https://pith.science/api/pith-number/UT4VXN5OUKHMXI26Y5PWHRZPKD/events.json","paper":"https://pith.science/paper/UT4VXN5O"},"agent_actions":{"view_html":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD","download_json":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD.json","view_paper":"https://pith.science/paper/UT4VXN5O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.01644&json=true","fetch_graph":"https://pith.science/api/pith-number/UT4VXN5OUKHMXI26Y5PWHRZPKD/graph.json","fetch_events":"https://pith.science/api/pith-number/UT4VXN5OUKHMXI26Y5PWHRZPKD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD/action/storage_attestation","attest_author":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD/action/author_attestation","sign_citation":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD/action/citation_signature","submit_replication":"https://pith.science/pith/UT4VXN5OUKHMXI26Y5PWHRZPKD/action/replication_record"}},"created_at":"2026-05-18T01:21:15.247854+00:00","updated_at":"2026-05-18T01:21:15.247854+00:00"}