{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:FVNBCXSM46HEDJRTWEOLGDVW4B","short_pith_number":"pith:FVNBCXSM","schema_version":"1.0","canonical_sha256":"2d5a115e4ce78e41a633b11cb30eb6e04621f485e8fde3dd22a54971ce4e6867","source":{"kind":"arxiv","id":"1205.5568","version":1},"attestation_state":"computed","paper":{"title":"Optimal partial-arcs in VMAT treatment planning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"David Craft, Ehsan Salari, Jeremiah Wala, Wei Chen","submitted_at":"2012-05-24T20:53:41Z","abstract_excerpt":"Purpose: To improve the delivery efficiency of VMAT by extending the recently published VMAT treatment planning algorithm vmerge to automatically generate optimal partial-arc plans.\n  Methods and materials: A high-quality initial plan is created by solving a convex multicriteria optimization problem using 180 equi-spaced beams. This initial plan is used to form a set of dose constraints, and a set of partial-arc plans is created by searching the space of all possible partial-arc plans that satisfy these constraints. For each partial-arc, an iterative fluence map merging and sequencing algorith"},"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":"1205.5568","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2012-05-24T20:53:41Z","cross_cats_sorted":[],"title_canon_sha256":"2d59a93828c4f126cb3fa6a1539a7b23c1747c6eb7b45898b0b177dc040187e6","abstract_canon_sha256":"106241a6863aa0229f9c8c5b0580c6519c5b1d57f64a4ca09d6aaae574b61c47"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:57:17.602725Z","signature_b64":"cEeuvlVA7LrxhtZOQd2a2pySvtLGJ17cfT/VQ78CfnL95Hj3Bi1joP+08EFNHSQextp7T2eQ4rTkFMcfB2EwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d5a115e4ce78e41a633b11cb30eb6e04621f485e8fde3dd22a54971ce4e6867","last_reissued_at":"2026-05-18T01:57:17.602019Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:57:17.602019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal partial-arcs in VMAT treatment planning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"David Craft, Ehsan Salari, Jeremiah Wala, Wei Chen","submitted_at":"2012-05-24T20:53:41Z","abstract_excerpt":"Purpose: To improve the delivery efficiency of VMAT by extending the recently published VMAT treatment planning algorithm vmerge to automatically generate optimal partial-arc plans.\n  Methods and materials: A high-quality initial plan is created by solving a convex multicriteria optimization problem using 180 equi-spaced beams. This initial plan is used to form a set of dose constraints, and a set of partial-arc plans is created by searching the space of all possible partial-arc plans that satisfy these constraints. For each partial-arc, an iterative fluence map merging and sequencing algorith"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.5568","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":"1205.5568","created_at":"2026-05-18T01:57:17.602125+00:00"},{"alias_kind":"arxiv_version","alias_value":"1205.5568v1","created_at":"2026-05-18T01:57:17.602125+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.5568","created_at":"2026-05-18T01:57:17.602125+00:00"},{"alias_kind":"pith_short_12","alias_value":"FVNBCXSM46HE","created_at":"2026-05-18T12:27:06.952714+00:00"},{"alias_kind":"pith_short_16","alias_value":"FVNBCXSM46HEDJRT","created_at":"2026-05-18T12:27:06.952714+00:00"},{"alias_kind":"pith_short_8","alias_value":"FVNBCXSM","created_at":"2026-05-18T12:27:06.952714+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/FVNBCXSM46HEDJRTWEOLGDVW4B","json":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B.json","graph_json":"https://pith.science/api/pith-number/FVNBCXSM46HEDJRTWEOLGDVW4B/graph.json","events_json":"https://pith.science/api/pith-number/FVNBCXSM46HEDJRTWEOLGDVW4B/events.json","paper":"https://pith.science/paper/FVNBCXSM"},"agent_actions":{"view_html":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B","download_json":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B.json","view_paper":"https://pith.science/paper/FVNBCXSM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1205.5568&json=true","fetch_graph":"https://pith.science/api/pith-number/FVNBCXSM46HEDJRTWEOLGDVW4B/graph.json","fetch_events":"https://pith.science/api/pith-number/FVNBCXSM46HEDJRTWEOLGDVW4B/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B/action/storage_attestation","attest_author":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B/action/author_attestation","sign_citation":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B/action/citation_signature","submit_replication":"https://pith.science/pith/FVNBCXSM46HEDJRTWEOLGDVW4B/action/replication_record"}},"created_at":"2026-05-18T01:57:17.602125+00:00","updated_at":"2026-05-18T01:57:17.602125+00:00"}