{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RDEVOAXTL6555TMCUKLKOGVDM7","short_pith_number":"pith:RDEVOAXT","canonical_record":{"source":{"id":"2306.06877","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T05:30:09Z","cross_cats_sorted":[],"title_canon_sha256":"16786271139130b618e540bbf0251f6c5bdc6dc8f4ca702f1dc492925124d6e9","abstract_canon_sha256":"afa001bc84f30061416319f732529a50b9888b21365f0c77d4b3c5483bc27054"},"schema_version":"1.0"},"canonical_sha256":"88c95702f35fbbdecd82a296a71aa367d1432ec5141af7eaf925fc08f90e3722","source":{"kind":"arxiv","id":"2306.06877","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06877","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06877v1","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06877","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"RDEVOAXTL655","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"RDEVOAXTL6555TMC","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"RDEVOAXT","created_at":"2026-07-05T06:19:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RDEVOAXTL6555TMCUKLKOGVDM7","target":"record","payload":{"canonical_record":{"source":{"id":"2306.06877","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T05:30:09Z","cross_cats_sorted":[],"title_canon_sha256":"16786271139130b618e540bbf0251f6c5bdc6dc8f4ca702f1dc492925124d6e9","abstract_canon_sha256":"afa001bc84f30061416319f732529a50b9888b21365f0c77d4b3c5483bc27054"},"schema_version":"1.0"},"canonical_sha256":"88c95702f35fbbdecd82a296a71aa367d1432ec5141af7eaf925fc08f90e3722","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:45.186672Z","signature_b64":"8mimjIDwjQnJdZAfAltakKfRT/r1csMxeCGGc/RJ3ii0kS6VKpuLs1ip149+MB4Bpuv1YOU4b80s1KywJijxBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88c95702f35fbbdecd82a296a71aa367d1432ec5141af7eaf925fc08f90e3722","last_reissued_at":"2026-07-05T06:19:45.186119Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:45.186119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.06877","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":"2026-07-05T06:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"isVTtrx/czjoozWk+Q7GgSMzf8TK5b4o1yuKy01bS9E0zw+rUxo5iDgmCTQxyom9PeCEzYMExst/CMkYoRzzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:09:06.812233Z"},"content_sha256":"5b4a64f02059a9f9d04a529968377d3d5f1569eaef545db4cdfd8e10993a3f7a","schema_version":"1.0","event_id":"sha256:5b4a64f02059a9f9d04a529968377d3d5f1569eaef545db4cdfd8e10993a3f7a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RDEVOAXTL6555TMCUKLKOGVDM7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"AnLan Sun, Dong Wang, Liwei Wang, Meng Lei, Yuting Dai, Zhao Zhang","submitted_at":"2023-06-12T05:30:09Z","abstract_excerpt":"Breast ultrasound videos contain richer information than ultrasound images, therefore it is more meaningful to develop video models for this diagnosis task. However, the collection of ultrasound video datasets is much harder. In this paper, we explore the feasibility of enhancing the performance of ultrasound video classification using the static image dataset. To this end, we propose KGA-Net and coherence loss. The KGA-Net adopts both video clips and static images to train the network. The coherence loss uses the feature centers generated by the static images to guide the frame attention in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06877","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/2306.06877/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":"2026-07-05T06:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sA+wCKmFltFMBx4rZVcy96Enblx7sqtxst6QMQJ522cyhaS89WUlWjkCRM+P0mGvFCRX6jVbomd3lw7rxscMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T15:09:06.812614Z"},"content_sha256":"41d794ad2ace72203fdc58b8e8e32a803376030d27c48efb360d87218963e9ed","schema_version":"1.0","event_id":"sha256:41d794ad2ace72203fdc58b8e8e32a803376030d27c48efb360d87218963e9ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RDEVOAXTL6555TMCUKLKOGVDM7/bundle.json","state_url":"https://pith.science/pith/RDEVOAXTL6555TMCUKLKOGVDM7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RDEVOAXTL6555TMCUKLKOGVDM7/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":"2026-07-06T15:09:06Z","links":{"resolver":"https://pith.science/pith/RDEVOAXTL6555TMCUKLKOGVDM7","bundle":"https://pith.science/pith/RDEVOAXTL6555TMCUKLKOGVDM7/bundle.json","state":"https://pith.science/pith/RDEVOAXTL6555TMCUKLKOGVDM7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RDEVOAXTL6555TMCUKLKOGVDM7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RDEVOAXTL6555TMCUKLKOGVDM7","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":"afa001bc84f30061416319f732529a50b9888b21365f0c77d4b3c5483bc27054","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T05:30:09Z","title_canon_sha256":"16786271139130b618e540bbf0251f6c5bdc6dc8f4ca702f1dc492925124d6e9"},"schema_version":"1.0","source":{"id":"2306.06877","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06877","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06877v1","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06877","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"RDEVOAXTL655","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"RDEVOAXTL6555TMC","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"RDEVOAXT","created_at":"2026-07-05T06:19:45Z"}],"graph_snapshots":[{"event_id":"sha256:41d794ad2ace72203fdc58b8e8e32a803376030d27c48efb360d87218963e9ed","target":"graph","created_at":"2026-07-05T06:19:45Z","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/2306.06877/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Breast ultrasound videos contain richer information than ultrasound images, therefore it is more meaningful to develop video models for this diagnosis task. However, the collection of ultrasound video datasets is much harder. In this paper, we explore the feasibility of enhancing the performance of ultrasound video classification using the static image dataset. To this end, we propose KGA-Net and coherence loss. The KGA-Net adopts both video clips and static images to train the network. The coherence loss uses the feature centers generated by the static images to guide the frame attention in t","authors_text":"AnLan Sun, Dong Wang, Liwei Wang, Meng Lei, Yuting Dai, Zhao Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T05:30:09Z","title":"Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06877","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":"sha256:5b4a64f02059a9f9d04a529968377d3d5f1569eaef545db4cdfd8e10993a3f7a","target":"record","created_at":"2026-07-05T06:19:45Z","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":"afa001bc84f30061416319f732529a50b9888b21365f0c77d4b3c5483bc27054","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-12T05:30:09Z","title_canon_sha256":"16786271139130b618e540bbf0251f6c5bdc6dc8f4ca702f1dc492925124d6e9"},"schema_version":"1.0","source":{"id":"2306.06877","kind":"arxiv","version":1}},"canonical_sha256":"88c95702f35fbbdecd82a296a71aa367d1432ec5141af7eaf925fc08f90e3722","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88c95702f35fbbdecd82a296a71aa367d1432ec5141af7eaf925fc08f90e3722","first_computed_at":"2026-07-05T06:19:45.186119Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:45.186119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8mimjIDwjQnJdZAfAltakKfRT/r1csMxeCGGc/RJ3ii0kS6VKpuLs1ip149+MB4Bpuv1YOU4b80s1KywJijxBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:45.186672Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06877","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b4a64f02059a9f9d04a529968377d3d5f1569eaef545db4cdfd8e10993a3f7a","sha256:41d794ad2ace72203fdc58b8e8e32a803376030d27c48efb360d87218963e9ed"],"state_sha256":"14e9504d427b2e0dd6d017ae0c1bd5be68fbc8bc563ab9d291d1445cf2539ef6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ys7ut2dJ5EhgLTPKI/NBRmB7hxVxRIu9WDV52u58U8DAqSN3O2ld+i5F5P8LSAoUt/so1sQBEklDAOP2wi2kDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T15:09:06.814532Z","bundle_sha256":"6013d6e513981e4e41ff9c1082ac1103d693811391b0a1007e7279f0ab3c3557"}}