{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FQDJQYBILSALJXTUCGTMQLINOV","short_pith_number":"pith:FQDJQYBI","canonical_record":{"source":{"id":"2101.03711","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-01-11T05:45:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"7ddffac8ae9a26d63891c4f91b8cd5b32d1b5eb9160da1e629c4e80963257ed0","abstract_canon_sha256":"6b54756febafa485f43579fd0cf5fa8fe2bc61fe683e6ac1b697cc513bf63c37"},"schema_version":"1.0"},"canonical_sha256":"2c069860285c80b4de7411a6c82d0d7562ea0194899f5b4701dff227c8452a65","source":{"kind":"arxiv","id":"2101.03711","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.03711","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"arxiv_version","alias_value":"2101.03711v1","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.03711","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"pith_short_12","alias_value":"FQDJQYBILSAL","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"pith_short_16","alias_value":"FQDJQYBILSALJXTU","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"pith_short_8","alias_value":"FQDJQYBI","created_at":"2026-07-05T02:05:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FQDJQYBILSALJXTUCGTMQLINOV","target":"record","payload":{"canonical_record":{"source":{"id":"2101.03711","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-01-11T05:45:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"7ddffac8ae9a26d63891c4f91b8cd5b32d1b5eb9160da1e629c4e80963257ed0","abstract_canon_sha256":"6b54756febafa485f43579fd0cf5fa8fe2bc61fe683e6ac1b697cc513bf63c37"},"schema_version":"1.0"},"canonical_sha256":"2c069860285c80b4de7411a6c82d0d7562ea0194899f5b4701dff227c8452a65","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:05:53.046046Z","signature_b64":"nb3faHdA1FUBptUIjRQ8JuRvbHI9ouEayoZShueKj7xrKIJ3d0EmVRB70zaif8NSqNEB/ojEkFcRnZP5vpv2DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c069860285c80b4de7411a6c82d0d7562ea0194899f5b4701dff227c8452a65","last_reissued_at":"2026-07-05T02:05:53.045686Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:05:53.045686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.03711","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":"2026-07-05T02:05:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QoBQLiEWSLkaLLgK0sj1udhpXRttRhKZjzzZlnDLTLprnMJzI18w4Gl3TIuCFGxRVUadsNnGRGBFzDW/1QmGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:58:10.972368Z"},"content_sha256":"afa65dee0483de3915498278bf889bb04c092a3cf6dadc4ccb6f92d0d3964d70","schema_version":"1.0","event_id":"sha256:afa65dee0483de3915498278bf889bb04c092a3cf6dadc4ccb6f92d0d3964d70"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FQDJQYBILSALJXTUCGTMQLINOV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Alejandro F Frangi, Dong Ni, Guangquan Zhou, Rui Gao, Rui Li, Xiaoqiong Huang, Xin Yang, Yankai Huang, Yi Xiong, Yuanji Zhang, Zhendong Liu","submitted_at":"2021-01-11T05:45:30Z","abstract_excerpt":"Deep segmentation models that generalize to images with unknown appearance are important for real-world medical image analysis. Retraining models leads to high latency and complex pipelines, which are impractical in clinical settings. The situation becomes more severe for ultrasound image analysis because of their large appearance shifts. In this paper, we propose a novel method for robust segmentation under unknown appearance shifts. Our contribution is three-fold. First, we advance a one-stage plug-and-play solution by embedding hierarchical style transfer units into a segmentation architect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.03711","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/2101.03711/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":"2026-07-05T02:05:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZmKaD1qd8qcqefJQ6M8dBK0G8M1BlvmqsRBNTLkCqHyFWu2Gum7XljHXOy0hECWgBJOLJTTnk3cN5l1ezoxdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:58:10.973080Z"},"content_sha256":"8c5219ed328169c0d0d1dea61d1299170668b24ea7be485464cd16960416c031","schema_version":"1.0","event_id":"sha256:8c5219ed328169c0d0d1dea61d1299170668b24ea7be485464cd16960416c031"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FQDJQYBILSALJXTUCGTMQLINOV/bundle.json","state_url":"https://pith.science/pith/FQDJQYBILSALJXTUCGTMQLINOV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FQDJQYBILSALJXTUCGTMQLINOV/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":"2026-07-09T05:58:10Z","links":{"resolver":"https://pith.science/pith/FQDJQYBILSALJXTUCGTMQLINOV","bundle":"https://pith.science/pith/FQDJQYBILSALJXTUCGTMQLINOV/bundle.json","state":"https://pith.science/pith/FQDJQYBILSALJXTUCGTMQLINOV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FQDJQYBILSALJXTUCGTMQLINOV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FQDJQYBILSALJXTUCGTMQLINOV","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":"6b54756febafa485f43579fd0cf5fa8fe2bc61fe683e6ac1b697cc513bf63c37","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-01-11T05:45:30Z","title_canon_sha256":"7ddffac8ae9a26d63891c4f91b8cd5b32d1b5eb9160da1e629c4e80963257ed0"},"schema_version":"1.0","source":{"id":"2101.03711","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.03711","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"arxiv_version","alias_value":"2101.03711v1","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.03711","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"pith_short_12","alias_value":"FQDJQYBILSAL","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"pith_short_16","alias_value":"FQDJQYBILSALJXTU","created_at":"2026-07-05T02:05:53Z"},{"alias_kind":"pith_short_8","alias_value":"FQDJQYBI","created_at":"2026-07-05T02:05:53Z"}],"graph_snapshots":[{"event_id":"sha256:8c5219ed328169c0d0d1dea61d1299170668b24ea7be485464cd16960416c031","target":"graph","created_at":"2026-07-05T02:05:53Z","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/2101.03711/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep segmentation models that generalize to images with unknown appearance are important for real-world medical image analysis. Retraining models leads to high latency and complex pipelines, which are impractical in clinical settings. The situation becomes more severe for ultrasound image analysis because of their large appearance shifts. In this paper, we propose a novel method for robust segmentation under unknown appearance shifts. Our contribution is three-fold. First, we advance a one-stage plug-and-play solution by embedding hierarchical style transfer units into a segmentation architect","authors_text":"Alejandro F Frangi, Dong Ni, Guangquan Zhou, Rui Gao, Rui Li, Xiaoqiong Huang, Xin Yang, Yankai Huang, Yi Xiong, Yuanji Zhang, Zhendong Liu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-01-11T05:45:30Z","title":"Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.03711","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:afa65dee0483de3915498278bf889bb04c092a3cf6dadc4ccb6f92d0d3964d70","target":"record","created_at":"2026-07-05T02:05:53Z","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":"6b54756febafa485f43579fd0cf5fa8fe2bc61fe683e6ac1b697cc513bf63c37","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-01-11T05:45:30Z","title_canon_sha256":"7ddffac8ae9a26d63891c4f91b8cd5b32d1b5eb9160da1e629c4e80963257ed0"},"schema_version":"1.0","source":{"id":"2101.03711","kind":"arxiv","version":1}},"canonical_sha256":"2c069860285c80b4de7411a6c82d0d7562ea0194899f5b4701dff227c8452a65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c069860285c80b4de7411a6c82d0d7562ea0194899f5b4701dff227c8452a65","first_computed_at":"2026-07-05T02:05:53.045686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:05:53.045686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nb3faHdA1FUBptUIjRQ8JuRvbHI9ouEayoZShueKj7xrKIJ3d0EmVRB70zaif8NSqNEB/ojEkFcRnZP5vpv2DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:05:53.046046Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.03711","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afa65dee0483de3915498278bf889bb04c092a3cf6dadc4ccb6f92d0d3964d70","sha256:8c5219ed328169c0d0d1dea61d1299170668b24ea7be485464cd16960416c031"],"state_sha256":"9876b3682e27898da1b9a787b172108aec393d920537e76b643a8383bd136c53"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l6nd/uTkoRNeZkmOYc8XF4T935lTK8ll8iXRfZfY2HFd2JRCW8jugdSK5Vt7QkurmuCB13ZgR8yuJbGLgj0tCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:58:10.976636Z","bundle_sha256":"a3550c39bc8ca5b25c58ed09d3a9a363d3a1b55b97c82a0c8b5f1f95449efdf9"}}