{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU","short_pith_number":"pith:Z6ZYA3ZJ","canonical_record":{"source":{"id":"2004.00207","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-01T03:00:03Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"91c6cbd86b3a3550ea9d9a927659caf325b5a9a6d7719c2f5427afabdb3cbb1d","abstract_canon_sha256":"089ae3950cca110113904de99db1c3f98ba74bf8befb907c5af435391eaf2c32"},"schema_version":"1.0"},"canonical_sha256":"cfb3806f291005c027798588ec4ca3b5017523a867966de0bd6a0f32c78fe3ad","source":{"kind":"arxiv","id":"2004.00207","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.00207","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"arxiv_version","alias_value":"2004.00207v1","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.00207","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"pith_short_12","alias_value":"Z6ZYA3ZJCAC4","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"pith_short_16","alias_value":"Z6ZYA3ZJCAC4AJ3Z","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"pith_short_8","alias_value":"Z6ZYA3ZJ","created_at":"2026-07-05T00:51:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU","target":"record","payload":{"canonical_record":{"source":{"id":"2004.00207","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-01T03:00:03Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"91c6cbd86b3a3550ea9d9a927659caf325b5a9a6d7719c2f5427afabdb3cbb1d","abstract_canon_sha256":"089ae3950cca110113904de99db1c3f98ba74bf8befb907c5af435391eaf2c32"},"schema_version":"1.0"},"canonical_sha256":"cfb3806f291005c027798588ec4ca3b5017523a867966de0bd6a0f32c78fe3ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:51:57.650713Z","signature_b64":"gy+Mknastd0ehJYR3nnq0/mCHKCamQrNC6TQDqQhv8Bl+fWq4zT56cT+ClLKCN671ccBj53TzcxYXhI/pRVEBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cfb3806f291005c027798588ec4ca3b5017523a867966de0bd6a0f32c78fe3ad","last_reissued_at":"2026-07-05T00:51:57.649930Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:51:57.649930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.00207","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":"2026-07-05T00:51:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SzO7KDJqLaf12/noGuJ+Lkqy9YbP6BTq7cPw1IucIHMXzMF7+qL9prfG18i4c5OUGdciQYk6z1ipsIKzraXQCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T13:35:05.499320Z"},"content_sha256":"aec4dcdfbd5c6972f935ad89e9e7d8e298f773479ff361487ff7a6ad15b2ba16","schema_version":"1.0","event_id":"sha256:aec4dcdfbd5c6972f935ad89e9e7d8e298f773479ff361487ff7a6ad15b2ba16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Chaoyu Chen, Dong Ni, Huanjia Luo, Mingrong Lin, Ruobing Huang, Shengfeng Liu, Wenlong Shi, Xin Yang, Yankai Huang, Yi Xiong, Yong Yang, Yuanji Zhang, Yuhao Huang","submitted_at":"2020-04-01T03:00:03Z","abstract_excerpt":"3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the evaluated organs accurately. Typical deep learning methods usually regress the coordinates directly or involve heatmap-matching. However, these methods struggle to deal with volumes with large sizes and the highly-varying positions and orientations of fetuses. In this work, we exploit an object detection framework to detect landmarks in 3D fetal facial US volumes. By regressing multiple parameters of the landmark-cent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.00207","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/2004.00207/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":"2026-07-05T00:51:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kTBMHCKVPzcVcANPDWqg3il1EWpaKf3AmVc0TwlisLDOt9AMqMDFzDLSHQq2FgQ0krWHnRBlk+7fNsxu0RUuCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T13:35:05.500234Z"},"content_sha256":"c4284897ab1fc497a760d6b4810b601183e8dc5add663c9147f68cda21256a2c","schema_version":"1.0","event_id":"sha256:c4284897ab1fc497a760d6b4810b601183e8dc5add663c9147f68cda21256a2c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU/bundle.json","state_url":"https://pith.science/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU/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":"2026-08-17T13:35:05Z","links":{"resolver":"https://pith.science/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU","bundle":"https://pith.science/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU/bundle.json","state":"https://pith.science/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Z6ZYA3ZJCAC4AJ3ZQWEOYTFDWU","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":"089ae3950cca110113904de99db1c3f98ba74bf8befb907c5af435391eaf2c32","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-01T03:00:03Z","title_canon_sha256":"91c6cbd86b3a3550ea9d9a927659caf325b5a9a6d7719c2f5427afabdb3cbb1d"},"schema_version":"1.0","source":{"id":"2004.00207","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.00207","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"arxiv_version","alias_value":"2004.00207v1","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.00207","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"pith_short_12","alias_value":"Z6ZYA3ZJCAC4","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"pith_short_16","alias_value":"Z6ZYA3ZJCAC4AJ3Z","created_at":"2026-07-05T00:51:57Z"},{"alias_kind":"pith_short_8","alias_value":"Z6ZYA3ZJ","created_at":"2026-07-05T00:51:57Z"}],"graph_snapshots":[{"event_id":"sha256:c4284897ab1fc497a760d6b4810b601183e8dc5add663c9147f68cda21256a2c","target":"graph","created_at":"2026-07-05T00:51:57Z","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/2004.00207/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the evaluated organs accurately. Typical deep learning methods usually regress the coordinates directly or involve heatmap-matching. However, these methods struggle to deal with volumes with large sizes and the highly-varying positions and orientations of fetuses. In this work, we exploit an object detection framework to detect landmarks in 3D fetal facial US volumes. By regressing multiple parameters of the landmark-cent","authors_text":"Chaoyu Chen, Dong Ni, Huanjia Luo, Mingrong Lin, Ruobing Huang, Shengfeng Liu, Wenlong Shi, Xin Yang, Yankai Huang, Yi Xiong, Yong Yang, Yuanji Zhang, Yuhao Huang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-01T03:00:03Z","title":"Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.00207","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:aec4dcdfbd5c6972f935ad89e9e7d8e298f773479ff361487ff7a6ad15b2ba16","target":"record","created_at":"2026-07-05T00:51:57Z","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":"089ae3950cca110113904de99db1c3f98ba74bf8befb907c5af435391eaf2c32","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-01T03:00:03Z","title_canon_sha256":"91c6cbd86b3a3550ea9d9a927659caf325b5a9a6d7719c2f5427afabdb3cbb1d"},"schema_version":"1.0","source":{"id":"2004.00207","kind":"arxiv","version":1}},"canonical_sha256":"cfb3806f291005c027798588ec4ca3b5017523a867966de0bd6a0f32c78fe3ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cfb3806f291005c027798588ec4ca3b5017523a867966de0bd6a0f32c78fe3ad","first_computed_at":"2026-07-05T00:51:57.649930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:51:57.649930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gy+Mknastd0ehJYR3nnq0/mCHKCamQrNC6TQDqQhv8Bl+fWq4zT56cT+ClLKCN671ccBj53TzcxYXhI/pRVEBw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:51:57.650713Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.00207","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aec4dcdfbd5c6972f935ad89e9e7d8e298f773479ff361487ff7a6ad15b2ba16","sha256:c4284897ab1fc497a760d6b4810b601183e8dc5add663c9147f68cda21256a2c"],"state_sha256":"017555e36ce2a8637e188ac8fdf62ab50399b422258782daa9100d63b6759168"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5bvSoBIBRWAaPDlMBls55PDqYn7I5GWL9agfHGRDo12XVsx2LqIDEqJFvWp+++FSoTE/jVv/Utjaj4QU1S21Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T13:35:05.505780Z","bundle_sha256":"a5ccf8b8c1c9ca5e94a28f679886c862ef8e75494917ff6f64b00d623cae35f0"}}