{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KKSNBMMIIHMOGQ4NABGLEMAO6C","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":"18b6b1b869b971a0e051f4b75c3e29f521fe0fc008d9647293440475166147ea","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-12T17:11:58Z","title_canon_sha256":"ec676e2811b5e2a0c1403523baba0f899a134bc081cebf14037cae85ba4f0bb8"},"schema_version":"1.0","source":{"id":"2502.08580","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08580","created_at":"2026-07-05T10:13:24Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08580v1","created_at":"2026-07-05T10:13:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08580","created_at":"2026-07-05T10:13:24Z"},{"alias_kind":"pith_short_12","alias_value":"KKSNBMMIIHMO","created_at":"2026-07-05T10:13:24Z"},{"alias_kind":"pith_short_16","alias_value":"KKSNBMMIIHMOGQ4N","created_at":"2026-07-05T10:13:24Z"},{"alias_kind":"pith_short_8","alias_value":"KKSNBMMI","created_at":"2026-07-05T10:13:24Z"}],"graph_snapshots":[{"event_id":"sha256:7571c11501891e825c135a15be3952c44aa102e2e7f112d442ce206febaad828","target":"graph","created_at":"2026-07-05T10:13:24Z","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/2502.08580/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models for image generation have been a subject of increasing interest due to their ability to generate diverse, high-quality images. Image generation has immense potential in medical imaging because open-source medical images are difficult to obtain compared to natural images, especially for rare conditions. The generated images can be used later to train classification and segmentation models. In this paper, we propose simulating realistic ultrasound (US) images by successive fine-tuning of large diffusion models on different publicly available databases. To do so, we fine-tuned St","authors_text":"Adrian Basarab, Ali Nasiri-Sarvi, Anthony El-Khoury, Benoit Freiche, Damien Garcia, Hassan Rivaz, Mahdi S. Hosseini, Mathieu Boily","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-12T17:11:58Z","title":"Ultrasound Image Generation using Latent Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08580","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":"sha256:40d8c897fc7dfe3858454883e3716672ac9fb837248c79164fb7bae8a9f034e9","target":"record","created_at":"2026-07-05T10:13:24Z","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":"18b6b1b869b971a0e051f4b75c3e29f521fe0fc008d9647293440475166147ea","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-12T17:11:58Z","title_canon_sha256":"ec676e2811b5e2a0c1403523baba0f899a134bc081cebf14037cae85ba4f0bb8"},"schema_version":"1.0","source":{"id":"2502.08580","kind":"arxiv","version":1}},"canonical_sha256":"52a4d0b18841d8e3438d004cb2300ef08b52d17127bee4d89080c5ad168acaf3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52a4d0b18841d8e3438d004cb2300ef08b52d17127bee4d89080c5ad168acaf3","first_computed_at":"2026-07-05T10:13:24.883487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:13:24.883487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QL8J66r6Mar2MHQc17HJMUWZy9N0j2wT85uR73wpyL4FV0ck7XUAaaZ9Y1zeDdNizF5gtDX2S/UoTRv2l2TJDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:13:24.883957Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.08580","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40d8c897fc7dfe3858454883e3716672ac9fb837248c79164fb7bae8a9f034e9","sha256:7571c11501891e825c135a15be3952c44aa102e2e7f112d442ce206febaad828"],"state_sha256":"64df29ed96bca3be537b9c99ea4f0eed613736acbf8773350a45d58be1fb6613"}