{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:THHOGFNBPNDZTMSTKG5RNZRF5N","short_pith_number":"pith:THHOGFNB","canonical_record":{"source":{"id":"2211.12081","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T08:25:35Z","cross_cats_sorted":[],"title_canon_sha256":"62c16ca4155abda9dac2d745c31d0ad83fe3acb55b13e9dc603a2a41109c8cc8","abstract_canon_sha256":"fadb5fdd5c3aa336a2e3badfc5f1043d3812947a0dcc421dd3a27d7c409cd38b"},"schema_version":"1.0"},"canonical_sha256":"99cee315a17b4799b25351bb16e625eb53a5c37f26ab8c5ce35dc0a7f7b5eee3","source":{"kind":"arxiv","id":"2211.12081","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.12081","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"arxiv_version","alias_value":"2211.12081v1","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12081","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"pith_short_12","alias_value":"THHOGFNBPNDZ","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"pith_short_16","alias_value":"THHOGFNBPNDZTMST","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"pith_short_8","alias_value":"THHOGFNB","created_at":"2026-07-05T05:18:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:THHOGFNBPNDZTMSTKG5RNZRF5N","target":"record","payload":{"canonical_record":{"source":{"id":"2211.12081","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T08:25:35Z","cross_cats_sorted":[],"title_canon_sha256":"62c16ca4155abda9dac2d745c31d0ad83fe3acb55b13e9dc603a2a41109c8cc8","abstract_canon_sha256":"fadb5fdd5c3aa336a2e3badfc5f1043d3812947a0dcc421dd3a27d7c409cd38b"},"schema_version":"1.0"},"canonical_sha256":"99cee315a17b4799b25351bb16e625eb53a5c37f26ab8c5ce35dc0a7f7b5eee3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:18:12.856716Z","signature_b64":"Omzik8GjiXYcrEko2DrutyyuKdsFNK6Q3rjvBpyS001Sku6OZ0N5KIPWhUC1qaAzotBO8TT+yrDHj4TyWI5oCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99cee315a17b4799b25351bb16e625eb53a5c37f26ab8c5ce35dc0a7f7b5eee3","last_reissued_at":"2026-07-05T05:18:12.856125Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:18:12.856125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.12081","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":"2026-07-05T05:18:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AEdAlba/e+/m3mYFOfljHNoV0g5JfdHEekhjA4/AB9Mpvs/ped7q7OAlSn5MaBxpnr5BWMXlVUii9W1zsD9IBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:51:54.395841Z"},"content_sha256":"339d34a77097d3367b4ea536327167b6c5916ba0a1202d503315c7fa16e02382","schema_version":"1.0","event_id":"sha256:339d34a77097d3367b4ea536327167b6c5916ba0a1202d503315c7fa16e02382"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:THHOGFNBPNDZTMSTKG5RNZRF5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dimitris N. Metaxas, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Kang Li, Ran Gu, Shaoting Zhang, Shichuan Zhang, Wenhui Lei, Wenjun Liao, Yinan Chen","submitted_at":"2022-11-22T08:25:35Z","abstract_excerpt":"Generalization to previously unseen images with potential domain shifts and different styles is essential for clinically applicable medical image segmentation, and the ability to disentangle domain-specific and domain-invariant features is key for achieving Domain Generalization (DG). However, existing DG methods can hardly achieve effective disentanglement to get high generalizability. To deal with this problem, we propose an efficient Contrastive Domain Disentanglement and Style Augmentation (CDDSA) framework for generalizable medical image segmentation. First, a disentangle network is propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12081","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/2211.12081/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":"2026-07-05T05:18:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kZru0zCfjtc/s/epZgPfov2H9c1LLQtq0UoZpPyrE9DznkM9eUHTn6aXaHYWbFpo6vaKiq759mnUjt1b9oYHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:51:54.396478Z"},"content_sha256":"a5f6e7edeec08d996f9c2b80b31ecbd83e44bee8409f92f1ad76c41850723fbf","schema_version":"1.0","event_id":"sha256:a5f6e7edeec08d996f9c2b80b31ecbd83e44bee8409f92f1ad76c41850723fbf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/THHOGFNBPNDZTMSTKG5RNZRF5N/bundle.json","state_url":"https://pith.science/pith/THHOGFNBPNDZTMSTKG5RNZRF5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/THHOGFNBPNDZTMSTKG5RNZRF5N/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":"2026-07-09T04:51:54Z","links":{"resolver":"https://pith.science/pith/THHOGFNBPNDZTMSTKG5RNZRF5N","bundle":"https://pith.science/pith/THHOGFNBPNDZTMSTKG5RNZRF5N/bundle.json","state":"https://pith.science/pith/THHOGFNBPNDZTMSTKG5RNZRF5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/THHOGFNBPNDZTMSTKG5RNZRF5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:THHOGFNBPNDZTMSTKG5RNZRF5N","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":"fadb5fdd5c3aa336a2e3badfc5f1043d3812947a0dcc421dd3a27d7c409cd38b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T08:25:35Z","title_canon_sha256":"62c16ca4155abda9dac2d745c31d0ad83fe3acb55b13e9dc603a2a41109c8cc8"},"schema_version":"1.0","source":{"id":"2211.12081","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.12081","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"arxiv_version","alias_value":"2211.12081v1","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12081","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"pith_short_12","alias_value":"THHOGFNBPNDZ","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"pith_short_16","alias_value":"THHOGFNBPNDZTMST","created_at":"2026-07-05T05:18:12Z"},{"alias_kind":"pith_short_8","alias_value":"THHOGFNB","created_at":"2026-07-05T05:18:12Z"}],"graph_snapshots":[{"event_id":"sha256:a5f6e7edeec08d996f9c2b80b31ecbd83e44bee8409f92f1ad76c41850723fbf","target":"graph","created_at":"2026-07-05T05:18:12Z","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/2211.12081/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generalization to previously unseen images with potential domain shifts and different styles is essential for clinically applicable medical image segmentation, and the ability to disentangle domain-specific and domain-invariant features is key for achieving Domain Generalization (DG). However, existing DG methods can hardly achieve effective disentanglement to get high generalizability. To deal with this problem, we propose an efficient Contrastive Domain Disentanglement and Style Augmentation (CDDSA) framework for generalizable medical image segmentation. First, a disentangle network is propo","authors_text":"Dimitris N. Metaxas, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Kang Li, Ran Gu, Shaoting Zhang, Shichuan Zhang, Wenhui Lei, Wenjun Liao, Yinan Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T08:25:35Z","title":"CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12081","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":"sha256:339d34a77097d3367b4ea536327167b6c5916ba0a1202d503315c7fa16e02382","target":"record","created_at":"2026-07-05T05:18:12Z","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":"fadb5fdd5c3aa336a2e3badfc5f1043d3812947a0dcc421dd3a27d7c409cd38b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T08:25:35Z","title_canon_sha256":"62c16ca4155abda9dac2d745c31d0ad83fe3acb55b13e9dc603a2a41109c8cc8"},"schema_version":"1.0","source":{"id":"2211.12081","kind":"arxiv","version":1}},"canonical_sha256":"99cee315a17b4799b25351bb16e625eb53a5c37f26ab8c5ce35dc0a7f7b5eee3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99cee315a17b4799b25351bb16e625eb53a5c37f26ab8c5ce35dc0a7f7b5eee3","first_computed_at":"2026-07-05T05:18:12.856125Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:18:12.856125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Omzik8GjiXYcrEko2DrutyyuKdsFNK6Q3rjvBpyS001Sku6OZ0N5KIPWhUC1qaAzotBO8TT+yrDHj4TyWI5oCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:18:12.856716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.12081","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:339d34a77097d3367b4ea536327167b6c5916ba0a1202d503315c7fa16e02382","sha256:a5f6e7edeec08d996f9c2b80b31ecbd83e44bee8409f92f1ad76c41850723fbf"],"state_sha256":"053af6f7b68699cb3b90039bc66029c80807c45b28ca97f07cf735c815a2b0b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CBR0tDxB2mdMdhCOASBsQkXKunTX/7R2NFS/Z7+lux429frufxba9O/fv5esOJA818RJiHcSOFEpjFXISQWZAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T04:51:54.399617Z","bundle_sha256":"e167455de86213348db72e7766b2e26fc32e4491339cc1f613121bc4fcca244c"}}