{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:3ATJKAIKWVMIQWAMGKTQSYYKJN","short_pith_number":"pith:3ATJKAIK","schema_version":"1.0","canonical_sha256":"d82695010ab55888580c32a709630a4b7b5d7c9620bf20f37556c615b8438306","source":{"kind":"arxiv","id":"1103.1164","version":2},"attestation_state":"computed","paper":{"title":"A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Jinsheng Li, Steve B. Jiang, Urszula Jelen, Xuejun Gu, Xun Jia","submitted_at":"2011-03-06T21:14:31Z","abstract_excerpt":"Targeting at the development of an accurate and efficient dose calculation engine for online adaptive radiotherapy, we have implemented a finite size pencil beam (FSPB) algorithm with a 3D-density correction method on GPU. This new GPU-based dose engine is built on our previously published ultrafast FSPB computational framework [Gu et al. Phys. Med. Biol. 54 6287-97, 2009]. Dosimetric evaluations against Monte Carlo dose calculations are conducted on 10 IMRT treatment plans (5 head-and-neck cases and 5 lung cases). For all cases, there is improvement with the 3D-density correction over the con"},"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":"1103.1164","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"physics.med-ph","submitted_at":"2011-03-06T21:14:31Z","cross_cats_sorted":[],"title_canon_sha256":"ad4a544bb1f8dea791005601020369322087e7df564cb728d5664863a996e0e1","abstract_canon_sha256":"acebf69812d6893c99661bd04143b7dc8dc0118982ef94593fcff81f89b48ea3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:02:59.152409Z","signature_b64":"YXO9O95PQ0sHweOCwiHxdjx/c0S+uJMN4Y5xyB+AZVWIQiy9UZeiRYNngfCXpJL+m97G1QWI5Wtu3M+QLsSNBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d82695010ab55888580c32a709630a4b7b5d7c9620bf20f37556c615b8438306","last_reissued_at":"2026-05-18T02:02:59.151573Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:02:59.151573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Jinsheng Li, Steve B. Jiang, Urszula Jelen, Xuejun Gu, Xun Jia","submitted_at":"2011-03-06T21:14:31Z","abstract_excerpt":"Targeting at the development of an accurate and efficient dose calculation engine for online adaptive radiotherapy, we have implemented a finite size pencil beam (FSPB) algorithm with a 3D-density correction method on GPU. This new GPU-based dose engine is built on our previously published ultrafast FSPB computational framework [Gu et al. Phys. Med. Biol. 54 6287-97, 2009]. Dosimetric evaluations against Monte Carlo dose calculations are conducted on 10 IMRT treatment plans (5 head-and-neck cases and 5 lung cases). For all cases, there is improvement with the 3D-density correction over the con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1103.1164","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":"1103.1164","created_at":"2026-05-18T02:02:59.151693+00:00"},{"alias_kind":"arxiv_version","alias_value":"1103.1164v2","created_at":"2026-05-18T02:02:59.151693+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1103.1164","created_at":"2026-05-18T02:02:59.151693+00:00"},{"alias_kind":"pith_short_12","alias_value":"3ATJKAIKWVMI","created_at":"2026-05-18T12:26:18.847500+00:00"},{"alias_kind":"pith_short_16","alias_value":"3ATJKAIKWVMIQWAM","created_at":"2026-05-18T12:26:18.847500+00:00"},{"alias_kind":"pith_short_8","alias_value":"3ATJKAIK","created_at":"2026-05-18T12:26:18.847500+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/3ATJKAIKWVMIQWAMGKTQSYYKJN","json":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN.json","graph_json":"https://pith.science/api/pith-number/3ATJKAIKWVMIQWAMGKTQSYYKJN/graph.json","events_json":"https://pith.science/api/pith-number/3ATJKAIKWVMIQWAMGKTQSYYKJN/events.json","paper":"https://pith.science/paper/3ATJKAIK"},"agent_actions":{"view_html":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN","download_json":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN.json","view_paper":"https://pith.science/paper/3ATJKAIK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1103.1164&json=true","fetch_graph":"https://pith.science/api/pith-number/3ATJKAIKWVMIQWAMGKTQSYYKJN/graph.json","fetch_events":"https://pith.science/api/pith-number/3ATJKAIKWVMIQWAMGKTQSYYKJN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN/action/storage_attestation","attest_author":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN/action/author_attestation","sign_citation":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN/action/citation_signature","submit_replication":"https://pith.science/pith/3ATJKAIKWVMIQWAMGKTQSYYKJN/action/replication_record"}},"created_at":"2026-05-18T02:02:59.151693+00:00","updated_at":"2026-05-18T02:02:59.151693+00:00"}