{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2ABMWLFGWU2PFA22HYUXNIN57T","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":"2d74e6a1d226c9c62bb992c5a03bd5b4608aa95c1682e1421c437b06a61b1ae1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-23T19:54:42Z","title_canon_sha256":"cba3cb34e26be0217ab5ec62012f2146a1c8fd3e49499cafbb137bc3359a96de"},"schema_version":"1.0","source":{"id":"2412.17943","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17943","created_at":"2026-07-05T09:54:49Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17943v2","created_at":"2026-07-05T09:54:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17943","created_at":"2026-07-05T09:54:49Z"},{"alias_kind":"pith_short_12","alias_value":"2ABMWLFGWU2P","created_at":"2026-07-05T09:54:49Z"},{"alias_kind":"pith_short_16","alias_value":"2ABMWLFGWU2PFA22","created_at":"2026-07-05T09:54:49Z"},{"alias_kind":"pith_short_8","alias_value":"2ABMWLFG","created_at":"2026-07-05T09:54:49Z"}],"graph_snapshots":[{"event_id":"sha256:c0c185b137a4a6e2ed2eb6b46cfdcc8041f60ff906047c37eab6c3f48768b0f3","target":"graph","created_at":"2026-07-05T09:54:49Z","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/2412.17943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Purpose: To evaluate various Segmental Anything Model (SAM) prompt strategies across four lesions datasets and to subsequently develop a reinforcement learning (RL) agent to optimize SAM prompt placement. Materials and Methods: This retrospective study included patients with four independent ovarian, lung, renal, and breast tumor datasets. Manual segmentation and SAM-assisted segmentation were performed for all lesions. A RL model was developed to predict and select SAM points to maximize segmentation performance. Statistical analysis of segmentation was conducted using pairwise t-tests. Resul","authors_text":"Aaron Maxwell, Harrison X. Bai, Jing Wu, Scott Collins, Sophie Yao, Victoria Shi, Wen-Chi Hsu, Yuli Wang, Yuwei Dai, Zhicheng Jiao, Zhusi Zhong, Zishu Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-23T19:54:42Z","title":"Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17943","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":"sha256:0e528ac7dafcddb760317885406885bd8c2d022369fe348bbf53a4cfb8d0ceef","target":"record","created_at":"2026-07-05T09:54:49Z","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":"2d74e6a1d226c9c62bb992c5a03bd5b4608aa95c1682e1421c437b06a61b1ae1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-23T19:54:42Z","title_canon_sha256":"cba3cb34e26be0217ab5ec62012f2146a1c8fd3e49499cafbb137bc3359a96de"},"schema_version":"1.0","source":{"id":"2412.17943","kind":"arxiv","version":2}},"canonical_sha256":"d002cb2ca6b534f2835a3e2976a1bdfcdf2644aa4d502d176b888ec9c40392cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d002cb2ca6b534f2835a3e2976a1bdfcdf2644aa4d502d176b888ec9c40392cb","first_computed_at":"2026-07-05T09:54:49.459968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:49.459968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HlB31LUb306oQz5VZl8Cx90BXmKbUrPkcWYG6fKs3f07xJcYnVkIpzeYG0F/NM5yYSgEOyyCPQ+Da0uNWFkzBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:49.460378Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17943","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e528ac7dafcddb760317885406885bd8c2d022369fe348bbf53a4cfb8d0ceef","sha256:c0c185b137a4a6e2ed2eb6b46cfdcc8041f60ff906047c37eab6c3f48768b0f3"],"state_sha256":"0a550fbd6c76b5e35af311f901512900f42febe1417d360f8ab1e0f02b2b28e9"}