{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XUEB2PUKMVVEWYQNLOHTWNC3XN","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":"c4058566631e14e920c07e530aa5fc52f85d0d434ddc91171ad14500de0553f9","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-25T21:42:54Z","title_canon_sha256":"c3e14d2aba6eb7402d9aeedfa2e23e6bb6be7c110d19da41ec96f7c7911821ec"},"schema_version":"1.0","source":{"id":"2508.19303","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19303","created_at":"2026-07-05T11:59:42Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19303v1","created_at":"2026-07-05T11:59:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19303","created_at":"2026-07-05T11:59:42Z"},{"alias_kind":"pith_short_12","alias_value":"XUEB2PUKMVVE","created_at":"2026-07-05T11:59:42Z"},{"alias_kind":"pith_short_16","alias_value":"XUEB2PUKMVVEWYQN","created_at":"2026-07-05T11:59:42Z"},{"alias_kind":"pith_short_8","alias_value":"XUEB2PUK","created_at":"2026-07-05T11:59:42Z"}],"graph_snapshots":[{"event_id":"sha256:bb1ae57d032feeda1fad14137bad0dcfdeca8d4c34f3400b9338f644d26aca0e","target":"graph","created_at":"2026-07-05T11:59:42Z","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/2508.19303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Abdominal aortic aneurysms (AAA) pose a significant clinical risk due to their potential for rupture, which is often asymptomatic but can be fatal. Although maximum diameter is commonly used for risk assessment, diameter alone is insufficient as it does not capture the properties of the underlying material of the vessel wall, which play a critical role in determining the risk of rupture. To overcome this limitation, we propose a deep learning-based framework for elasticity imaging of AAAs with 2D ultrasound. Leveraging finite element simulations, we generate a diverse dataset of displacement f","authors_text":"Doran Mix, Michael Richards, Richard Simon, Utsav Ratna Tuladhar","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-25T21:42:54Z","title":"2D Ultrasound Elasticity Imaging of Abdominal Aortic Aneurysms Using Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19303","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":"sha256:67eaeec323086f6197474d197ac39e8f4407f194449740340b960130d0e292f2","target":"record","created_at":"2026-07-05T11:59:42Z","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":"c4058566631e14e920c07e530aa5fc52f85d0d434ddc91171ad14500de0553f9","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-25T21:42:54Z","title_canon_sha256":"c3e14d2aba6eb7402d9aeedfa2e23e6bb6be7c110d19da41ec96f7c7911821ec"},"schema_version":"1.0","source":{"id":"2508.19303","kind":"arxiv","version":1}},"canonical_sha256":"bd081d3e8a656a4b620d5b8f3b345bbb4c93258f6f0b3b3c53b90cca588b434a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd081d3e8a656a4b620d5b8f3b345bbb4c93258f6f0b3b3c53b90cca588b434a","first_computed_at":"2026-07-05T11:59:42.807429Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:42.807429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/gNt8cUSPaDGTEGo5xHIgkveBbWWtzqyu5m42SFh42efvcNih+M+Tvkr6fnGjh/T07gBdiRfp55sy9PoExUBDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:42.807858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.19303","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67eaeec323086f6197474d197ac39e8f4407f194449740340b960130d0e292f2","sha256:bb1ae57d032feeda1fad14137bad0dcfdeca8d4c34f3400b9338f644d26aca0e"],"state_sha256":"9b933ee51ca8a9815fcecb1af79ac46aa27c953631d514f5682d3da7c88aff9a"}