{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:654CJ23DPV6XEWQZ52Y5WGDZ7C","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":"03f0b68fb6a4e63b43820b7472991d43eaf960f2074fe4eed7cb54a25cd3588f","cross_cats_sorted":["eess.IV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-30T07:23:55Z","title_canon_sha256":"bded4d3ec1ed1496455edaa57980dd796a41812edd51dcc9283a77084316d7b2"},"schema_version":"1.0","source":{"id":"2007.15273","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.15273","created_at":"2026-07-05T01:23:29Z"},{"alias_kind":"arxiv_version","alias_value":"2007.15273v1","created_at":"2026-07-05T01:23:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.15273","created_at":"2026-07-05T01:23:29Z"},{"alias_kind":"pith_short_12","alias_value":"654CJ23DPV6X","created_at":"2026-07-05T01:23:29Z"},{"alias_kind":"pith_short_16","alias_value":"654CJ23DPV6XEWQZ","created_at":"2026-07-05T01:23:29Z"},{"alias_kind":"pith_short_8","alias_value":"654CJ23D","created_at":"2026-07-05T01:23:29Z"}],"graph_snapshots":[{"event_id":"sha256:1bc434083a7db6111912ac0fef63ba39833b58793f5c44c25494084e968ec364","target":"graph","created_at":"2026-07-05T01:23:29Z","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/2007.15273/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D ultrasound (US) is widely used due to its rich diagnostic information, portability and low cost. Automated standard plane (SP) localization in US volume not only improves efficiency and reduces user-dependence, but also boosts 3D US interpretation. In this study, we propose a novel Multi-Agent Reinforcement Learning (MARL) framework to localize multiple uterine SPs in 3D US simultaneously. Our contribution is two-fold. First, we equip the MARL with a one-shot neural architecture search (NAS) module to obtain the optimal agent for each plane. Specifically, Gradient-based search using Differe","authors_text":"Alejandro Frangi, Chaoyu Chen, Dong Ni, Haoran Dou, Huanjia Luo, Jikuan Qian, Rui Li, Wenlong Shi, Xiaoqiong Huang, Xin Yang, Yi Xiong, Yuanji Zhang, Yuhao Huang","cross_cats":["eess.IV","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-30T07:23:55Z","title":"Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.15273","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":"sha256:4e250c781fbb916c9331a194470630def25a669849bbc9b58a9221e4c479659a","target":"record","created_at":"2026-07-05T01:23:29Z","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":"03f0b68fb6a4e63b43820b7472991d43eaf960f2074fe4eed7cb54a25cd3588f","cross_cats_sorted":["eess.IV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-30T07:23:55Z","title_canon_sha256":"bded4d3ec1ed1496455edaa57980dd796a41812edd51dcc9283a77084316d7b2"},"schema_version":"1.0","source":{"id":"2007.15273","kind":"arxiv","version":1}},"canonical_sha256":"f77824eb637d7d725a19eeb1db1879f89a227af1b2143f33059d91cf6b11d8c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f77824eb637d7d725a19eeb1db1879f89a227af1b2143f33059d91cf6b11d8c4","first_computed_at":"2026-07-05T01:23:29.189740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:23:29.189740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sy0/yvRWP5nN7Rn3PJdfCM13EjD9fZNG8spSo5Dx2xpOFRodHoz1LRXrcxnz0NFLPZFo3aRH6wpA2dKQmZvNDA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:23:29.190157Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.15273","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e250c781fbb916c9331a194470630def25a669849bbc9b58a9221e4c479659a","sha256:1bc434083a7db6111912ac0fef63ba39833b58793f5c44c25494084e968ec364"],"state_sha256":"2204d1fa42f79d0251276f805027fdd444d2d66fde3e2f26318082e506128f4d"}