{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:MDIVYUAEKCB6DJLUU66O3HIZ4L","short_pith_number":"pith:MDIVYUAE","schema_version":"1.0","canonical_sha256":"60d15c50045083e1a574a7bced9d19e2ca51283266924ae2659bd32f7d33a3fb","source":{"kind":"arxiv","id":"1903.04760","version":2},"attestation_state":"computed","paper":{"title":"Suite of Meshless Algorithms for Accurate Computation of Soft Tissue Deformation for Surgical Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Adam Wittek, Benjamin Zwick, Damon Hyde, George Bourantas, Grand Joldes, Habib Chowdhury, Karol Miller, Konstantinos Mountris, Simon K. Warfield, Sudip Agrawal","submitted_at":"2019-03-12T07:37:25Z","abstract_excerpt":"The ability to predict patient-specific soft tissue deformations is key for computer-integrated surgery systems and the core enabling technology for a new era of personalized medicine. Element-Free Galerkin (EFG) methods are better suited for solving soft tissue deformation problems than the finite element method (FEM) due to their capability of handling large deformation while also eliminating the necessity of creating a complex predefined mesh. Nevertheless, meshless methods based on EFG formulation, exhibit three major limitations: i) meshless shape functions using higher order basis cannot"},"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":"1903.04760","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2019-03-12T07:37:25Z","cross_cats_sorted":[],"title_canon_sha256":"7fe0d045d458096a0d1a2a72e86a9f04b4ef6e30188df1066ca0142ea5cc8b84","abstract_canon_sha256":"88b2ec2657b9df603886fbe0ce272eee08d8e59985671f0613fc40a791599c75"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:27.805557Z","signature_b64":"X7ylPkSX8L4XoYJjryumN9R7A2rjNm8gJ/9TVJeDwEV/bpuAAsQnJ3yQy8HmMFx/ag9cULEen1pRJVGR207vBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60d15c50045083e1a574a7bced9d19e2ca51283266924ae2659bd32f7d33a3fb","last_reissued_at":"2026-05-17T23:43:27.805134Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:27.805134Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Suite of Meshless Algorithms for Accurate Computation of Soft Tissue Deformation for Surgical Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Adam Wittek, Benjamin Zwick, Damon Hyde, George Bourantas, Grand Joldes, Habib Chowdhury, Karol Miller, Konstantinos Mountris, Simon K. Warfield, Sudip Agrawal","submitted_at":"2019-03-12T07:37:25Z","abstract_excerpt":"The ability to predict patient-specific soft tissue deformations is key for computer-integrated surgery systems and the core enabling technology for a new era of personalized medicine. Element-Free Galerkin (EFG) methods are better suited for solving soft tissue deformation problems than the finite element method (FEM) due to their capability of handling large deformation while also eliminating the necessity of creating a complex predefined mesh. Nevertheless, meshless methods based on EFG formulation, exhibit three major limitations: i) meshless shape functions using higher order basis cannot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04760","kind":"arxiv","version":2},"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":"1903.04760","created_at":"2026-05-17T23:43:27.805197+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.04760v2","created_at":"2026-05-17T23:43:27.805197+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04760","created_at":"2026-05-17T23:43:27.805197+00:00"},{"alias_kind":"pith_short_12","alias_value":"MDIVYUAEKCB6","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"MDIVYUAEKCB6DJLU","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"MDIVYUAE","created_at":"2026-05-18T12:33:21.387695+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/MDIVYUAEKCB6DJLUU66O3HIZ4L","json":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L.json","graph_json":"https://pith.science/api/pith-number/MDIVYUAEKCB6DJLUU66O3HIZ4L/graph.json","events_json":"https://pith.science/api/pith-number/MDIVYUAEKCB6DJLUU66O3HIZ4L/events.json","paper":"https://pith.science/paper/MDIVYUAE"},"agent_actions":{"view_html":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L","download_json":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L.json","view_paper":"https://pith.science/paper/MDIVYUAE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.04760&json=true","fetch_graph":"https://pith.science/api/pith-number/MDIVYUAEKCB6DJLUU66O3HIZ4L/graph.json","fetch_events":"https://pith.science/api/pith-number/MDIVYUAEKCB6DJLUU66O3HIZ4L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L/action/storage_attestation","attest_author":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L/action/author_attestation","sign_citation":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L/action/citation_signature","submit_replication":"https://pith.science/pith/MDIVYUAEKCB6DJLUU66O3HIZ4L/action/replication_record"}},"created_at":"2026-05-17T23:43:27.805197+00:00","updated_at":"2026-05-17T23:43:27.805197+00:00"}