{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:A6I3QXL54VSORQTKTFSIFWDFPS","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":"4c86cddb091528ac3ee506304754c0e71ab325b010b29534728d25d3b322534a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T22:16:24Z","title_canon_sha256":"98e26ae259807168232e32ad3634712bc428f841df82fb157d713f9d54f75663"},"schema_version":"1.0","source":{"id":"2605.20536","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20536","created_at":"2026-05-21T01:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20536v1","created_at":"2026-05-21T01:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20536","created_at":"2026-05-21T01:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"A6I3QXL54VSO","created_at":"2026-05-21T01:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"A6I3QXL54VSORQTK","created_at":"2026-05-21T01:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"A6I3QXL5","created_at":"2026-05-21T01:04:41Z"}],"graph_snapshots":[{"event_id":"sha256:50e86bcf218a73586c00131309c58ceb4f90e7b9ff43a8405fa096de23e53e89","target":"graph","created_at":"2026-05-21T01:04:41Z","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/2605.20536/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate classification of breast ultrasound images into benign, malignant, and normal categories is a critical clinical task complicated by speckle noise, acoustic shadowing, and inter-class visual ambiguity. Existing deep learning methods rely on single-stream architectures with generic augmentation that ignores ultrasound acquisition physics, and no prior method dedicates a stream to the lesion boundary features identified as the most diagnostically significant visual cue. We propose HADS-Net, a Hybrid Attention-Augmented Dual-Stream Network exploiting global texture and local boundary cues","authors_text":"Blessing Nwamaka Iduh, Chinedu Emmanuel Mbonu, Doris Chinedu Asogwa, Joseph Ikechukwu Odo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T22:16:24Z","title":"HADS-Net:A Hybrid Attention-Augmented Dual-Stream Network with Physics-Informed Augmentation for Breast Ultrasound Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20536","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":"sha256:0c26a81ab104a23098525e58ebdc8b398ec37afd3eea38f01466ecc1ea6324f1","target":"record","created_at":"2026-05-21T01:04:41Z","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":"4c86cddb091528ac3ee506304754c0e71ab325b010b29534728d25d3b322534a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T22:16:24Z","title_canon_sha256":"98e26ae259807168232e32ad3634712bc428f841df82fb157d713f9d54f75663"},"schema_version":"1.0","source":{"id":"2605.20536","kind":"arxiv","version":1}},"canonical_sha256":"0791b85d7de564e8c26a996482d8657c8e9e8d6231c83ec95b3ac29a19cce507","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0791b85d7de564e8c26a996482d8657c8e9e8d6231c83ec95b3ac29a19cce507","first_computed_at":"2026-05-21T01:04:41.535740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:04:41.535740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A/b3xldnQLvcVr6aqFQiEIzblY4/myZZzre36opqW+3atbvHIZPu9b5GYhx+ISCH6VCulxJBG7jbqnxqANPjBQ==","signature_status":"signed_v1","signed_at":"2026-05-21T01:04:41.536304Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20536","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c26a81ab104a23098525e58ebdc8b398ec37afd3eea38f01466ecc1ea6324f1","sha256:50e86bcf218a73586c00131309c58ceb4f90e7b9ff43a8405fa096de23e53e89"],"state_sha256":"9e03d31ff45dd3ad545a95b191465b05ff478a849da4ab96da273f4f6d9a4ed7"}