{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6PGG4LMOUFFEGJTLVO7K7VIR6L","short_pith_number":"pith:6PGG4LMO","canonical_record":{"source":{"id":"2506.19694","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T15:00:38Z","cross_cats_sorted":[],"title_canon_sha256":"fb1ade8b49adfb3257131d6907272047387f23ed73866eab88064e402186bd4b","abstract_canon_sha256":"453b8ef6d10c5f0fcb74f9f86c465471ead9c981297c17a06e98ba2d0b4370b9"},"schema_version":"1.0"},"canonical_sha256":"f3cc6e2d8ea14a43266babbeafd511f2e0fda3d08683f34b057409d8eefc585c","source":{"kind":"arxiv","id":"2506.19694","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19694","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19694v2","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19694","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"pith_short_12","alias_value":"6PGG4LMOUFFE","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"pith_short_16","alias_value":"6PGG4LMOUFFEGJTL","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"pith_short_8","alias_value":"6PGG4LMO","created_at":"2026-07-05T11:51:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6PGG4LMOUFFEGJTLVO7K7VIR6L","target":"record","payload":{"canonical_record":{"source":{"id":"2506.19694","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T15:00:38Z","cross_cats_sorted":[],"title_canon_sha256":"fb1ade8b49adfb3257131d6907272047387f23ed73866eab88064e402186bd4b","abstract_canon_sha256":"453b8ef6d10c5f0fcb74f9f86c465471ead9c981297c17a06e98ba2d0b4370b9"},"schema_version":"1.0"},"canonical_sha256":"f3cc6e2d8ea14a43266babbeafd511f2e0fda3d08683f34b057409d8eefc585c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:30.893450Z","signature_b64":"mwE4d/sHcNJiEVrXl14Wvf/1VVbZyrL+GUV/aFBRu4uP6wEApRyiSZcKmpXcv6b4om+/plTWcaqRRHE/TT11BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3cc6e2d8ea14a43266babbeafd511f2e0fda3d08683f34b057409d8eefc585c","last_reissued_at":"2026-07-05T11:51:30.892935Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:30.892935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.19694","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:51:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"epAwr2rj9z77c93VpJtTWCBKC6eB2QNK9zLF0k1DgbLrl7QFKYK8BD2L3SgXwN+WWricIEs3uCVsHfhNxGzPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:47:41.433414Z"},"content_sha256":"e7797177b76755154d36aaf9db8ced747917f279d5d731f792e304bcd08e231c","schema_version":"1.0","event_id":"sha256:e7797177b76755154d36aaf9db8ced747917f279d5d731f792e304bcd08e231c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6PGG4LMOUFFEGJTLVO7K7VIR6L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nassir Navab, Wei Wang, Wenjuan Tong, Yuan Bi, Yue Zhou, Zhongliang Jiang","submitted_at":"2025-06-24T15:00:38Z","abstract_excerpt":"Precise anomaly detection in medical images is critical for clinical decision-making. While recent unsupervised or semi-supervised anomaly detection methods trained on large-scale normal data show promising results, they lack fine-grained differentiation, such as benign vs. malignant tumors. Additionally, ultrasound (US) imaging is highly sensitive to devices and acquisition parameter variations, creating significant domain gaps in the resulting US images. To address these challenges, we propose UltraAD, a vision-language model (VLM)-based approach that leverages few-shot US examples for gener"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19694","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.19694/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:51:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rvhjxw7FJJuIZWLSRbkFtuEk1KjTMciEqiuJT8I3x21/pcUUakS4UK+92jupPARpTuohtj3JmBZqlRNSk+o5CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:47:41.434066Z"},"content_sha256":"c8794ab50d46fe12c062c4b6763204ff82d8e19bc52bd02e86f932f744a14d45","schema_version":"1.0","event_id":"sha256:c8794ab50d46fe12c062c4b6763204ff82d8e19bc52bd02e86f932f744a14d45"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L/bundle.json","state_url":"https://pith.science/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T11:47:41Z","links":{"resolver":"https://pith.science/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L","bundle":"https://pith.science/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L/bundle.json","state":"https://pith.science/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6PGG4LMOUFFEGJTLVO7K7VIR6L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6PGG4LMOUFFEGJTLVO7K7VIR6L","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":"453b8ef6d10c5f0fcb74f9f86c465471ead9c981297c17a06e98ba2d0b4370b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T15:00:38Z","title_canon_sha256":"fb1ade8b49adfb3257131d6907272047387f23ed73866eab88064e402186bd4b"},"schema_version":"1.0","source":{"id":"2506.19694","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19694","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19694v2","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19694","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"pith_short_12","alias_value":"6PGG4LMOUFFE","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"pith_short_16","alias_value":"6PGG4LMOUFFEGJTL","created_at":"2026-07-05T11:51:30Z"},{"alias_kind":"pith_short_8","alias_value":"6PGG4LMO","created_at":"2026-07-05T11:51:30Z"}],"graph_snapshots":[{"event_id":"sha256:c8794ab50d46fe12c062c4b6763204ff82d8e19bc52bd02e86f932f744a14d45","target":"graph","created_at":"2026-07-05T11:51:30Z","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/2506.19694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precise anomaly detection in medical images is critical for clinical decision-making. While recent unsupervised or semi-supervised anomaly detection methods trained on large-scale normal data show promising results, they lack fine-grained differentiation, such as benign vs. malignant tumors. Additionally, ultrasound (US) imaging is highly sensitive to devices and acquisition parameter variations, creating significant domain gaps in the resulting US images. To address these challenges, we propose UltraAD, a vision-language model (VLM)-based approach that leverages few-shot US examples for gener","authors_text":"Nassir Navab, Wei Wang, Wenjuan Tong, Yuan Bi, Yue Zhou, Zhongliang Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T15:00:38Z","title":"UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19694","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:e7797177b76755154d36aaf9db8ced747917f279d5d731f792e304bcd08e231c","target":"record","created_at":"2026-07-05T11:51:30Z","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":"453b8ef6d10c5f0fcb74f9f86c465471ead9c981297c17a06e98ba2d0b4370b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-24T15:00:38Z","title_canon_sha256":"fb1ade8b49adfb3257131d6907272047387f23ed73866eab88064e402186bd4b"},"schema_version":"1.0","source":{"id":"2506.19694","kind":"arxiv","version":2}},"canonical_sha256":"f3cc6e2d8ea14a43266babbeafd511f2e0fda3d08683f34b057409d8eefc585c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3cc6e2d8ea14a43266babbeafd511f2e0fda3d08683f34b057409d8eefc585c","first_computed_at":"2026-07-05T11:51:30.892935Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:51:30.892935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mwE4d/sHcNJiEVrXl14Wvf/1VVbZyrL+GUV/aFBRu4uP6wEApRyiSZcKmpXcv6b4om+/plTWcaqRRHE/TT11BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:51:30.893450Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19694","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7797177b76755154d36aaf9db8ced747917f279d5d731f792e304bcd08e231c","sha256:c8794ab50d46fe12c062c4b6763204ff82d8e19bc52bd02e86f932f744a14d45"],"state_sha256":"87406e1b774c29c1796c4b945a89f53baf0401a8a9e2670c7764a778700c9a4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZlRBnZG7ewSSQGMQOGzmMCYOmi/g8+tpr//hbOpla/VrOthMAG3GGgGTNXTwGS9GgJTto0aGydmDmFGGQQuOBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:47:41.439115Z","bundle_sha256":"064b0843ab4c98b05e4aed650040496b262871920f73156eccbd566b3742dd97"}}