{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OPUJCSGNDW4UFNIFDRYUGHYD3M","short_pith_number":"pith:OPUJCSGN","canonical_record":{"source":{"id":"2308.10142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-20T03:00:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b4e8ec14f259520ad22daa62a6dbda1c7aab016bcc573ef199f77437ac52e9e8","abstract_canon_sha256":"c70513d7f3136c61e76814a90897fb7745c411bee8d4fbab181afae714c5efb8"},"schema_version":"1.0"},"canonical_sha256":"73e89148cd1db942b5051c71431f03db212017ae0ab8d973516f35742d25f0c0","source":{"kind":"arxiv","id":"2308.10142","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10142","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10142v1","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10142","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"pith_short_12","alias_value":"OPUJCSGNDW4U","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"pith_short_16","alias_value":"OPUJCSGNDW4UFNIF","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"pith_short_8","alias_value":"OPUJCSGN","created_at":"2026-07-05T06:42:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OPUJCSGNDW4UFNIFDRYUGHYD3M","target":"record","payload":{"canonical_record":{"source":{"id":"2308.10142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-20T03:00:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b4e8ec14f259520ad22daa62a6dbda1c7aab016bcc573ef199f77437ac52e9e8","abstract_canon_sha256":"c70513d7f3136c61e76814a90897fb7745c411bee8d4fbab181afae714c5efb8"},"schema_version":"1.0"},"canonical_sha256":"73e89148cd1db942b5051c71431f03db212017ae0ab8d973516f35742d25f0c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:52.086855Z","signature_b64":"09PFmH+crq2kVP10mdiWcK5uchRibjAvuGfqhW2IZzws8GvN2NWgVvKnb1YJoG/2PspFeVsLo4cvqqXkDnV5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73e89148cd1db942b5051c71431f03db212017ae0ab8d973516f35742d25f0c0","last_reissued_at":"2026-07-05T06:42:52.086407Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:52.086407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.10142","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:42:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y+wSPU9X3yobhDYWhtsI/zHfioXl61hpOdRAvIcdsK67h5K4yyNT4GoRhlXS3JoeuWUuklIJfhr9q5Kq/xNpDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:32:54.858978Z"},"content_sha256":"fed516da5c56571ef0bf4052b8bf3994173336ec65e22e5eef656917703b21b3","schema_version":"1.0","event_id":"sha256:fed516da5c56571ef0bf4052b8bf3994173336ec65e22e5eef656917703b21b3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OPUJCSGNDW4UFNIFDRYUGHYD3M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jianghong Xiao, Jie Zeng, Peng Wang, Xingchen Peng, Yan Wang, Zeyu Han","submitted_at":"2023-08-20T03:00:27Z","abstract_excerpt":"Recently, deep learning (DL) has automated and accelerated the clinical radiation therapy (RT) planning significantly by predicting accurate dose maps. However, most DL-based dose map prediction methods are data-driven and not applicable for cervical cancer where only a small amount of data is available. To address this problem, this paper proposes to transfer the rich knowledge learned from another cancer, i.e., rectum cancer, which has the same scanning area and more clinically available data, to improve the dose map prediction performance for cervical cancer through domain adaptation. In or"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10142","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/2308.10142/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:42:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"shsRH74VRCP9Y6kddn06eIUgNbTumfcUxiZruLY/kldUgyhRhEHL6aK0G/wDbm883yL4LR/V0lW9pWm0ncmKAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:32:54.859369Z"},"content_sha256":"ce8cc65a18366e0c462e402b3d1cabfec0e73f933e0d1a177bdb4b718eeab0b7","schema_version":"1.0","event_id":"sha256:ce8cc65a18366e0c462e402b3d1cabfec0e73f933e0d1a177bdb4b718eeab0b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M/bundle.json","state_url":"https://pith.science/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T11:32:54Z","links":{"resolver":"https://pith.science/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M","bundle":"https://pith.science/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M/bundle.json","state":"https://pith.science/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OPUJCSGNDW4UFNIFDRYUGHYD3M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OPUJCSGNDW4UFNIFDRYUGHYD3M","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":"c70513d7f3136c61e76814a90897fb7745c411bee8d4fbab181afae714c5efb8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-20T03:00:27Z","title_canon_sha256":"b4e8ec14f259520ad22daa62a6dbda1c7aab016bcc573ef199f77437ac52e9e8"},"schema_version":"1.0","source":{"id":"2308.10142","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10142","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10142v1","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10142","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"pith_short_12","alias_value":"OPUJCSGNDW4U","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"pith_short_16","alias_value":"OPUJCSGNDW4UFNIF","created_at":"2026-07-05T06:42:52Z"},{"alias_kind":"pith_short_8","alias_value":"OPUJCSGN","created_at":"2026-07-05T06:42:52Z"}],"graph_snapshots":[{"event_id":"sha256:ce8cc65a18366e0c462e402b3d1cabfec0e73f933e0d1a177bdb4b718eeab0b7","target":"graph","created_at":"2026-07-05T06:42:52Z","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/2308.10142/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep learning (DL) has automated and accelerated the clinical radiation therapy (RT) planning significantly by predicting accurate dose maps. However, most DL-based dose map prediction methods are data-driven and not applicable for cervical cancer where only a small amount of data is available. To address this problem, this paper proposes to transfer the rich knowledge learned from another cancer, i.e., rectum cancer, which has the same scanning area and more clinically available data, to improve the dose map prediction performance for cervical cancer through domain adaptation. In or","authors_text":"Jianghong Xiao, Jie Zeng, Peng Wang, Xingchen Peng, Yan Wang, Zeyu Han","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-20T03:00:27Z","title":"Polymerized Feature-based Domain Adaptation for Cervical Cancer Dose Map Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10142","kind":"arxiv","version":1},"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:fed516da5c56571ef0bf4052b8bf3994173336ec65e22e5eef656917703b21b3","target":"record","created_at":"2026-07-05T06:42:52Z","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":"c70513d7f3136c61e76814a90897fb7745c411bee8d4fbab181afae714c5efb8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-20T03:00:27Z","title_canon_sha256":"b4e8ec14f259520ad22daa62a6dbda1c7aab016bcc573ef199f77437ac52e9e8"},"schema_version":"1.0","source":{"id":"2308.10142","kind":"arxiv","version":1}},"canonical_sha256":"73e89148cd1db942b5051c71431f03db212017ae0ab8d973516f35742d25f0c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73e89148cd1db942b5051c71431f03db212017ae0ab8d973516f35742d25f0c0","first_computed_at":"2026-07-05T06:42:52.086407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:52.086407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"09PFmH+crq2kVP10mdiWcK5uchRibjAvuGfqhW2IZzws8GvN2NWgVvKnb1YJoG/2PspFeVsLo4cvqqXkDnV5BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:52.086855Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.10142","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fed516da5c56571ef0bf4052b8bf3994173336ec65e22e5eef656917703b21b3","sha256:ce8cc65a18366e0c462e402b3d1cabfec0e73f933e0d1a177bdb4b718eeab0b7"],"state_sha256":"dcc6c1e33d87775130554390e986e45c342088be3b9610d426f5311309bf9ade"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nyQdb8R93JV12FptaaNHRbYCK+8Jfm++Z7sYFsx3l7/lrrNxYLnMXghRSFhDGu5l8w2HrO8xhrSeTM7z36/jCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:32:54.861377Z","bundle_sha256":"72c044ac4af7da06cb886378531af2920f062ec147cbd0259d2b28310af3f62a"}}