{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HZ56W4OM7GNFDV72GFHJUUI5PX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8565d0e7b9171a429c229572c75e530bb53b23785b09da1c36df9d9e99836a63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2021-10-19T13:57:03Z","title_canon_sha256":"63f4b24dfe98c196a5b22d6b99e039475066e6123e1569b8309cc81b59769b82"},"schema_version":"1.0","source":{"id":"2110.09984","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.09984","created_at":"2026-07-05T05:05:01Z"},{"alias_kind":"arxiv_version","alias_value":"2110.09984v2","created_at":"2026-07-05T05:05:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.09984","created_at":"2026-07-05T05:05:01Z"},{"alias_kind":"pith_short_12","alias_value":"HZ56W4OM7GNF","created_at":"2026-07-05T05:05:01Z"},{"alias_kind":"pith_short_16","alias_value":"HZ56W4OM7GNFDV72","created_at":"2026-07-05T05:05:01Z"},{"alias_kind":"pith_short_8","alias_value":"HZ56W4OM","created_at":"2026-07-05T05:05:01Z"}],"graph_snapshots":[{"event_id":"sha256:2a0fa019dca9493d42e57bf16546a15429490bcc5605f97a55420121e9784e45","target":"graph","created_at":"2026-07-05T05:05:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2110.09984/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Purpose: We present a framework for robust automated treatment planning using machine learning, comprising scenario-specific dose prediction and robust dose mimicking.\n  Methods: The scenario dose prediction pipeline is divided into the prediction of nominal dose from input image and the prediction of scenario dose from nominal dose, each using a deep learning model with U-net architecture. By using a specially developed dose-volume histogram-based loss function, the predicted scenario doses are ensured sufficient target coverage despite the possibility of the training data being non-robust. D","authors_text":"Oskar Eriksson, Tianfang Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2021-10-19T13:57:03Z","title":"Robust automated radiation therapy treatment planning using scenario-specific dose prediction and robust dose mimicking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.09984","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fceaf9a66e25b405d376678a775ccf6817e4f341c27c75e20db3278e3c568a8d","target":"record","created_at":"2026-07-05T05:05:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8565d0e7b9171a429c229572c75e530bb53b23785b09da1c36df9d9e99836a63","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.med-ph","submitted_at":"2021-10-19T13:57:03Z","title_canon_sha256":"63f4b24dfe98c196a5b22d6b99e039475066e6123e1569b8309cc81b59769b82"},"schema_version":"1.0","source":{"id":"2110.09984","kind":"arxiv","version":2}},"canonical_sha256":"3e7beb71ccf99a51d7fa314e9a511d7dde0b89ddb1aa32f7567fe73bb957da82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e7beb71ccf99a51d7fa314e9a511d7dde0b89ddb1aa32f7567fe73bb957da82","first_computed_at":"2026-07-05T05:05:01.149327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:01.149327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ccAxfKVn2uRceneU7HkOKob6c7bp+04a+u1mf+4tzu+vgsCy7NbEgKybtl5ik0TrF8LEeJH2zevJTOHjnmJWCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:01.149731Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.09984","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fceaf9a66e25b405d376678a775ccf6817e4f341c27c75e20db3278e3c568a8d","sha256:2a0fa019dca9493d42e57bf16546a15429490bcc5605f97a55420121e9784e45"],"state_sha256":"a25ea92b8f121e55af021ad2a40312e480d9e35f31480b61bddd94358c76abd5"}