{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FW7M66A32COGEEOPIAWALJFMAC","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":"dcb47c3202d5f50d0da92d9a180bd25ec576cde8cf2762c4625e831ce921ac78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-11-16T20:55:00Z","title_canon_sha256":"f10352da9dc44b74e601b1f3225a022cf14b99e66d5aab7b476944f6c08c8bcd"},"schema_version":"1.0","source":{"id":"2311.10193","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10193","created_at":"2026-07-05T09:19:52Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10193v2","created_at":"2026-07-05T09:19:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10193","created_at":"2026-07-05T09:19:52Z"},{"alias_kind":"pith_short_12","alias_value":"FW7M66A32COG","created_at":"2026-07-05T09:19:52Z"},{"alias_kind":"pith_short_16","alias_value":"FW7M66A32COGEEOP","created_at":"2026-07-05T09:19:52Z"},{"alias_kind":"pith_short_8","alias_value":"FW7M66A3","created_at":"2026-07-05T09:19:52Z"}],"graph_snapshots":[{"event_id":"sha256:d08f4fac9d29a0dddc48e59a6f8967a3f2287693ae2f4535fa04571966d6c165","target":"graph","created_at":"2026-07-05T09:19:52Z","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/2311.10193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sound (SOS). Although full-waveform inversion (FWI) is an effective method for accurate SOS reconstruction, it can be computationally challenging for large-scale problems. Deep learning-based image-to-image learned reconstruction (IILR) methods can offer computationally efficient alternatives. This study investigates the impact of the chosen input modalities on IILR methods for high-resolution SOS reconstruction in USCT. The selected modalities are traveltime tomography (TT) and reflection tomograp","authors_text":"Fu Li, Gangwon Jeong, Mark A. Anastasio, Nebojsa Duric, Trevor M. Mitcham, Umberto Villa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-11-16T20:55:00Z","title":"Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10193","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":"sha256:65efa725f85488228a1e8292d2842d43619168674b473c41d992cbb246916dd4","target":"record","created_at":"2026-07-05T09:19:52Z","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":"dcb47c3202d5f50d0da92d9a180bd25ec576cde8cf2762c4625e831ce921ac78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-11-16T20:55:00Z","title_canon_sha256":"f10352da9dc44b74e601b1f3225a022cf14b99e66d5aab7b476944f6c08c8bcd"},"schema_version":"1.0","source":{"id":"2311.10193","kind":"arxiv","version":2}},"canonical_sha256":"2dbecf781bd09c6211cf402c05a4ac00bd901bc9a33b63844173efe035bcbc58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2dbecf781bd09c6211cf402c05a4ac00bd901bc9a33b63844173efe035bcbc58","first_computed_at":"2026-07-05T09:19:52.964481Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:52.964481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W8AMpAAgvPI6CcnDoXYsNT7s1Pk9navAr3zrlQfEF0ijBVvpRKP583w397DWDCfyOqqW7Oi5zqyluH7OiXm5Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:52.964975Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.10193","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:65efa725f85488228a1e8292d2842d43619168674b473c41d992cbb246916dd4","sha256:d08f4fac9d29a0dddc48e59a6f8967a3f2287693ae2f4535fa04571966d6c165"],"state_sha256":"d60f9078f247cd654de1bc476653f5a3e7b137580ca7b1c4591a7360d5091e4c"}