{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:7W44XB74ELBDKEVGW2DA64CIMI","short_pith_number":"pith:7W44XB74","schema_version":"1.0","canonical_sha256":"fdb9cb87fc22c23512a6b6860f7048623dc358dd1753c4972c6cc49cf2da5b79","source":{"kind":"arxiv","id":"2607.13869","version":1},"attestation_state":"computed","paper":{"title":"Direct probabilistic IMPT treatment planning with setup and range errors for neuro-oncological patients","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Danny Lathouwers, Jelte R. de Jong, Jenneke I. de Jong, Mischa S. Hoogeman, Sebastiaan Breedveld, Steven J. M. Habraken, Zolt\\'an Perk\\'o","submitted_at":"2026-07-15T14:17:43Z","abstract_excerpt":"To show clinical feasibility of a previously proposed probabilistic planning approach that can precisely optimize for clinical goals with patient-specific acceptance probabilities on a neuro-oncological patient group, we compared probabilistic plans with (automated) robust plans for one patient (group A) that could achieve sufficient clinical target coverage and for four patients (group B) where target coverage had to be compromised due to organ-at-risk (OAR) dose constraints. The probabilistic approach is percentile-based and uses the fact that a (dose) percentile can be approximated as a lin"},"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":"2607.13869","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.med-ph","submitted_at":"2026-07-15T14:17:43Z","cross_cats_sorted":[],"title_canon_sha256":"a2963cced3f059a86262983b73f2b01f114044ccb54f4e6fd1436a71dfb0d167","abstract_canon_sha256":"3973a425dc172cd2414a2abe6eb4969b400fbd3d23c5871f573f86fda95283a2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-16T01:23:10.801769Z","signature_b64":"3LggS27z+83NyiYbhnDxOBa3dGIvq2IHQ4BM3dz9GZhAdQBplA+XqL71/fawLKHnuB23XUAk+bzMHqQU8NEWDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdb9cb87fc22c23512a6b6860f7048623dc358dd1753c4972c6cc49cf2da5b79","last_reissued_at":"2026-07-16T01:23:10.800954Z","signature_status":"signed_v1","first_computed_at":"2026-07-16T01:23:10.800954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Direct probabilistic IMPT treatment planning with setup and range errors for neuro-oncological patients","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Danny Lathouwers, Jelte R. de Jong, Jenneke I. de Jong, Mischa S. Hoogeman, Sebastiaan Breedveld, Steven J. M. Habraken, Zolt\\'an Perk\\'o","submitted_at":"2026-07-15T14:17:43Z","abstract_excerpt":"To show clinical feasibility of a previously proposed probabilistic planning approach that can precisely optimize for clinical goals with patient-specific acceptance probabilities on a neuro-oncological patient group, we compared probabilistic plans with (automated) robust plans for one patient (group A) that could achieve sufficient clinical target coverage and for four patients (group B) where target coverage had to be compromised due to organ-at-risk (OAR) dose constraints. The probabilistic approach is percentile-based and uses the fact that a (dose) percentile can be approximated as a lin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13869","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/2607.13869/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":"2607.13869","created_at":"2026-07-16T01:23:10.801379+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.13869v1","created_at":"2026-07-16T01:23:10.801379+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13869","created_at":"2026-07-16T01:23:10.801379+00:00"},{"alias_kind":"pith_short_12","alias_value":"7W44XB74ELBD","created_at":"2026-07-16T01:23:10.801379+00:00"},{"alias_kind":"pith_short_16","alias_value":"7W44XB74ELBDKEVG","created_at":"2026-07-16T01:23:10.801379+00:00"},{"alias_kind":"pith_short_8","alias_value":"7W44XB74","created_at":"2026-07-16T01:23:10.801379+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/7W44XB74ELBDKEVGW2DA64CIMI","json":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI.json","graph_json":"https://pith.science/api/pith-number/7W44XB74ELBDKEVGW2DA64CIMI/graph.json","events_json":"https://pith.science/api/pith-number/7W44XB74ELBDKEVGW2DA64CIMI/events.json","paper":"https://pith.science/paper/7W44XB74"},"agent_actions":{"view_html":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI","download_json":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI.json","view_paper":"https://pith.science/paper/7W44XB74","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.13869&json=true","fetch_graph":"https://pith.science/api/pith-number/7W44XB74ELBDKEVGW2DA64CIMI/graph.json","fetch_events":"https://pith.science/api/pith-number/7W44XB74ELBDKEVGW2DA64CIMI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI/action/storage_attestation","attest_author":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI/action/author_attestation","sign_citation":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI/action/citation_signature","submit_replication":"https://pith.science/pith/7W44XB74ELBDKEVGW2DA64CIMI/action/replication_record"}},"created_at":"2026-07-16T01:23:10.801379+00:00","updated_at":"2026-07-16T01:23:10.801379+00:00"}