{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Y26N6CAUQNRVIP37S7SRRU2V2W","short_pith_number":"pith:Y26N6CAU","canonical_record":{"source":{"id":"2411.11116","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-17T16:14:00Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"72a77ea1da7a31f42322d66b936ab876fcecd571379ed4e1f54497e55263ae21","abstract_canon_sha256":"59187f0d00bc3135d2fbf185b494290cae93af262f5cd457d4a6f0e4baaa7a62"},"schema_version":"1.0"},"canonical_sha256":"c6bcdf08148363543f7f97e518d355d5ac50e27eede8a690d1bb3905c7bb6995","source":{"kind":"arxiv","id":"2411.11116","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11116","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11116v1","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11116","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"pith_short_12","alias_value":"Y26N6CAUQNRV","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"pith_short_16","alias_value":"Y26N6CAUQNRVIP37","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"pith_short_8","alias_value":"Y26N6CAU","created_at":"2026-07-05T09:36:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Y26N6CAUQNRVIP37S7SRRU2V2W","target":"record","payload":{"canonical_record":{"source":{"id":"2411.11116","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-17T16:14:00Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"72a77ea1da7a31f42322d66b936ab876fcecd571379ed4e1f54497e55263ae21","abstract_canon_sha256":"59187f0d00bc3135d2fbf185b494290cae93af262f5cd457d4a6f0e4baaa7a62"},"schema_version":"1.0"},"canonical_sha256":"c6bcdf08148363543f7f97e518d355d5ac50e27eede8a690d1bb3905c7bb6995","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:36:28.919829Z","signature_b64":"g/82paw/GL0kqnsebKwureQTJVVuMUzRfntqkpGCom/XKZNCxIIc8USM+9tRZlEkdC+KphsIDZ7hPw1nDAnlBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6bcdf08148363543f7f97e518d355d5ac50e27eede8a690d1bb3905c7bb6995","last_reissued_at":"2026-07-05T09:36:28.919464Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:36:28.919464Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.11116","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:36:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z/nmsrCm+q1vVRKquXCJtl0+0vITK5fbdv+U0qrmQc46cBoZJxFCXcFNzdhdMCyOdJKmz34hkxLBzileLldWBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:33:19.997478Z"},"content_sha256":"97a4107d4e849b1506a68748042b5c65fa778e1296ceacb3e21029186f4515f8","schema_version":"1.0","event_id":"sha256:97a4107d4e849b1506a68748042b5c65fa778e1296ceacb3e21029186f4515f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Y26N6CAUQNRVIP37S7SRRU2V2W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chang Li, Guoping Xu, Qing Huang, Wentao Liao, Ximing Wu, Xinglong Wu","submitted_at":"2024-11-17T16:14:00Z","abstract_excerpt":"Accurately segmenting lesions in ultrasound images is challenging due to the difficulty in distinguishing boundaries between lesions and surrounding tissues. While deep learning has improved segmentation accuracy, there is limited focus on boundary quality and its relationship with body structures. To address this, we introduce UBBS-Net, a dual-branch deep neural network that learns the relationship between body and boundary for improved segmentation. We also propose a feature fusion module to integrate body and boundary information. Evaluated on three public datasets, UBBS-Net outperforms exi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11116","kind":"arxiv","version":1},"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/2411.11116/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":"2026-07-05T09:36:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zo1chr6pMCSMxRAuXQXURazy8bjioLMoOz42HxAHep1CknxYxoTgvx+Gz11ak81+TdOV03GrgZMB0XMbKBbCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:33:19.997905Z"},"content_sha256":"a0a53f91c934e21de4baed0ae854773241b5f57bdaf20e6d9f603dff2e963d50","schema_version":"1.0","event_id":"sha256:a0a53f91c934e21de4baed0ae854773241b5f57bdaf20e6d9f603dff2e963d50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y26N6CAUQNRVIP37S7SRRU2V2W/bundle.json","state_url":"https://pith.science/pith/Y26N6CAUQNRVIP37S7SRRU2V2W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y26N6CAUQNRVIP37S7SRRU2V2W/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":"2026-08-13T16:33:20Z","links":{"resolver":"https://pith.science/pith/Y26N6CAUQNRVIP37S7SRRU2V2W","bundle":"https://pith.science/pith/Y26N6CAUQNRVIP37S7SRRU2V2W/bundle.json","state":"https://pith.science/pith/Y26N6CAUQNRVIP37S7SRRU2V2W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y26N6CAUQNRVIP37S7SRRU2V2W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y26N6CAUQNRVIP37S7SRRU2V2W","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":"59187f0d00bc3135d2fbf185b494290cae93af262f5cd457d4a6f0e4baaa7a62","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-17T16:14:00Z","title_canon_sha256":"72a77ea1da7a31f42322d66b936ab876fcecd571379ed4e1f54497e55263ae21"},"schema_version":"1.0","source":{"id":"2411.11116","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11116","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11116v1","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11116","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"pith_short_12","alias_value":"Y26N6CAUQNRV","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"pith_short_16","alias_value":"Y26N6CAUQNRVIP37","created_at":"2026-07-05T09:36:28Z"},{"alias_kind":"pith_short_8","alias_value":"Y26N6CAU","created_at":"2026-07-05T09:36:28Z"}],"graph_snapshots":[{"event_id":"sha256:a0a53f91c934e21de4baed0ae854773241b5f57bdaf20e6d9f603dff2e963d50","target":"graph","created_at":"2026-07-05T09:36:28Z","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/2411.11116/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately segmenting lesions in ultrasound images is challenging due to the difficulty in distinguishing boundaries between lesions and surrounding tissues. While deep learning has improved segmentation accuracy, there is limited focus on boundary quality and its relationship with body structures. To address this, we introduce UBBS-Net, a dual-branch deep neural network that learns the relationship between body and boundary for improved segmentation. We also propose a feature fusion module to integrate body and boundary information. Evaluated on three public datasets, UBBS-Net outperforms exi","authors_text":"Chang Li, Guoping Xu, Qing Huang, Wentao Liao, Ximing Wu, Xinglong Wu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-17T16:14:00Z","title":"DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11116","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":"sha256:97a4107d4e849b1506a68748042b5c65fa778e1296ceacb3e21029186f4515f8","target":"record","created_at":"2026-07-05T09:36:28Z","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":"59187f0d00bc3135d2fbf185b494290cae93af262f5cd457d4a6f0e4baaa7a62","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-17T16:14:00Z","title_canon_sha256":"72a77ea1da7a31f42322d66b936ab876fcecd571379ed4e1f54497e55263ae21"},"schema_version":"1.0","source":{"id":"2411.11116","kind":"arxiv","version":1}},"canonical_sha256":"c6bcdf08148363543f7f97e518d355d5ac50e27eede8a690d1bb3905c7bb6995","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6bcdf08148363543f7f97e518d355d5ac50e27eede8a690d1bb3905c7bb6995","first_computed_at":"2026-07-05T09:36:28.919464Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:36:28.919464Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g/82paw/GL0kqnsebKwureQTJVVuMUzRfntqkpGCom/XKZNCxIIc8USM+9tRZlEkdC+KphsIDZ7hPw1nDAnlBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:36:28.919829Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11116","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97a4107d4e849b1506a68748042b5c65fa778e1296ceacb3e21029186f4515f8","sha256:a0a53f91c934e21de4baed0ae854773241b5f57bdaf20e6d9f603dff2e963d50"],"state_sha256":"95ab455a1cd393f61b365c0130977650d66101393aa7610a8218972e9033ba97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TsHTNtfXAyt63P3vF7T60JpdsyWwn014NemTqenCC3OgzDex0YMqNMEVA7G6W/q4Sm1ymE+aNmqNHCGptNHcAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T16:33:20.020972Z","bundle_sha256":"e1b558a2f9a772a976cc828f1f985ac04270ae536bbb2d145d8943f2608c0c4a"}}