{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VRFUUAMFD6MGE3XXUT2PVIDOJP","short_pith_number":"pith:VRFUUAMF","canonical_record":{"source":{"id":"2506.10675","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-12T13:04:32Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"74d785e9967d177fdb8a5530bb33eafe4962b34ef4d022e68125622515a9187e","abstract_canon_sha256":"9c728472928d48b0e84cee242c174655b71b57ca57e75033d99829dd0ea61069"},"schema_version":"1.0"},"canonical_sha256":"ac4b4a01851f98626ef7a4f4faa06e4bd41dd4977e694507c2120a419a5787c2","source":{"kind":"arxiv","id":"2506.10675","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10675","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10675v1","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10675","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"VRFUUAMFD6MG","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"VRFUUAMFD6MGE3XX","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"VRFUUAMF","created_at":"2026-07-05T11:20:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VRFUUAMFD6MGE3XXUT2PVIDOJP","target":"record","payload":{"canonical_record":{"source":{"id":"2506.10675","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-12T13:04:32Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"74d785e9967d177fdb8a5530bb33eafe4962b34ef4d022e68125622515a9187e","abstract_canon_sha256":"9c728472928d48b0e84cee242c174655b71b57ca57e75033d99829dd0ea61069"},"schema_version":"1.0"},"canonical_sha256":"ac4b4a01851f98626ef7a4f4faa06e4bd41dd4977e694507c2120a419a5787c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:28.349840Z","signature_b64":"hbkutUY5NsI3Jxjh4Gg5UxSCnciwhHAgyTQpWGTxbgRMy7sPRV73LdFjM4TE0OsrjeU85eYia/gbkSLPxOK6Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac4b4a01851f98626ef7a4f4faa06e4bd41dd4977e694507c2120a419a5787c2","last_reissued_at":"2026-07-05T11:20:28.349364Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:28.349364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.10675","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":"2026-07-05T11:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JlvUAJ7Kv8xrNF5ugwoR0ykIe+3vOz6IjrXgWSEv/x4XCXUm/WRocFL+1677quKLrudTMOZmwR+vg2NoPfsRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:34:26.241866Z"},"content_sha256":"317cc8e27dd72d5cd55a7df55df202aa08cc1f02438bae6867e95721eba4d3c2","schema_version":"1.0","event_id":"sha256:317cc8e27dd72d5cd55a7df55df202aa08cc1f02438bae6867e95721eba4d3c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VRFUUAMFD6MGE3XXUT2PVIDOJP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jinzhu Yang, Osmar R. Zaiane, Peng Cao, Xi Chen, Zhiqiang Shen","submitted_at":"2025-06-12T13:04:32Z","abstract_excerpt":"Medical images are usually collected from multiple domains, leading to domain shifts that impair the performance of medical image segmentation models. Domain Generalization (DG) aims to address this issue by training a robust model with strong generalizability. Recently, numerous domain randomization-based DG methods have been proposed. However, these methods suffer from the following limitations: 1) constrained efficiency of domain randomization due to their exclusive dependence on image style perturbation, and 2) neglect of the adverse effects of over-augmented images on model training. To a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10675","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/2506.10675/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":"2026-07-05T11:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8lrv5vkQKI7+ZW5HLVZYa+qZPYKsOQhAhAtpcEqg+0Tt0voAc9nsCmDXvd/SsQESDe175U41wNr/o1VBy63NBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:34:26.242400Z"},"content_sha256":"f417f201df0184fe4790133c1b06ae57958ec8df61df4bafbb5e1f61a6b6c2dc","schema_version":"1.0","event_id":"sha256:f417f201df0184fe4790133c1b06ae57958ec8df61df4bafbb5e1f61a6b6c2dc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP/bundle.json","state_url":"https://pith.science/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP/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":"2026-08-08T19:34:26Z","links":{"resolver":"https://pith.science/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP","bundle":"https://pith.science/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP/bundle.json","state":"https://pith.science/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VRFUUAMFD6MGE3XXUT2PVIDOJP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VRFUUAMFD6MGE3XXUT2PVIDOJP","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":"9c728472928d48b0e84cee242c174655b71b57ca57e75033d99829dd0ea61069","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-12T13:04:32Z","title_canon_sha256":"74d785e9967d177fdb8a5530bb33eafe4962b34ef4d022e68125622515a9187e"},"schema_version":"1.0","source":{"id":"2506.10675","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10675","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10675v1","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10675","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"VRFUUAMFD6MG","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"VRFUUAMFD6MGE3XX","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"VRFUUAMF","created_at":"2026-07-05T11:20:28Z"}],"graph_snapshots":[{"event_id":"sha256:f417f201df0184fe4790133c1b06ae57958ec8df61df4bafbb5e1f61a6b6c2dc","target":"graph","created_at":"2026-07-05T11:20:28Z","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/2506.10675/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical images are usually collected from multiple domains, leading to domain shifts that impair the performance of medical image segmentation models. Domain Generalization (DG) aims to address this issue by training a robust model with strong generalizability. Recently, numerous domain randomization-based DG methods have been proposed. However, these methods suffer from the following limitations: 1) constrained efficiency of domain randomization due to their exclusive dependence on image style perturbation, and 2) neglect of the adverse effects of over-augmented images on model training. To a","authors_text":"Jinzhu Yang, Osmar R. Zaiane, Peng Cao, Xi Chen, Zhiqiang Shen","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-12T13:04:32Z","title":"ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10675","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":"sha256:317cc8e27dd72d5cd55a7df55df202aa08cc1f02438bae6867e95721eba4d3c2","target":"record","created_at":"2026-07-05T11:20:28Z","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":"9c728472928d48b0e84cee242c174655b71b57ca57e75033d99829dd0ea61069","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-12T13:04:32Z","title_canon_sha256":"74d785e9967d177fdb8a5530bb33eafe4962b34ef4d022e68125622515a9187e"},"schema_version":"1.0","source":{"id":"2506.10675","kind":"arxiv","version":1}},"canonical_sha256":"ac4b4a01851f98626ef7a4f4faa06e4bd41dd4977e694507c2120a419a5787c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac4b4a01851f98626ef7a4f4faa06e4bd41dd4977e694507c2120a419a5787c2","first_computed_at":"2026-07-05T11:20:28.349364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:28.349364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hbkutUY5NsI3Jxjh4Gg5UxSCnciwhHAgyTQpWGTxbgRMy7sPRV73LdFjM4TE0OsrjeU85eYia/gbkSLPxOK6Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:28.349840Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.10675","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:317cc8e27dd72d5cd55a7df55df202aa08cc1f02438bae6867e95721eba4d3c2","sha256:f417f201df0184fe4790133c1b06ae57958ec8df61df4bafbb5e1f61a6b6c2dc"],"state_sha256":"ed284c77dea9e5965caff1cc0679714cb8e3451eac5d0864e24cbd7cec95c9fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qmdsqnPWJxia7mld3rK1oYsUBHLz+21cHW2oF7fwIKCpHBxUlBBOrko2aXCnehI+h1aGn/s5lKeIari0GmD4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:34:26.248385Z","bundle_sha256":"97631547ef2fcac59f607b1c215eb24f92c2b173b6e29eeaf3ed3c6d4daafb22"}}