{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZC2HPICDCNCBQOA2G3TZWRUSSF","short_pith_number":"pith:ZC2HPICD","canonical_record":{"source":{"id":"2508.06327","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T13:57:48Z","cross_cats_sorted":[],"title_canon_sha256":"2fc7d137566d8902a50abb29e0f462d287ee4161720293a42c7f99f26f1499fc","abstract_canon_sha256":"b16a3043e33778466870dbec0d9434661cb7b67cee11f72f58cf96c4a4002e29"},"schema_version":"1.0"},"canonical_sha256":"c8b477a043134418381a36e79b4692917a369f1221bf9a18f79d0ebbff3dac13","source":{"kind":"arxiv","id":"2508.06327","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06327","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06327v1","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06327","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZC2HPICDCNCB","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZC2HPICDCNCBQOA2","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZC2HPICD","created_at":"2026-07-05T11:50:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZC2HPICDCNCBQOA2G3TZWRUSSF","target":"record","payload":{"canonical_record":{"source":{"id":"2508.06327","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T13:57:48Z","cross_cats_sorted":[],"title_canon_sha256":"2fc7d137566d8902a50abb29e0f462d287ee4161720293a42c7f99f26f1499fc","abstract_canon_sha256":"b16a3043e33778466870dbec0d9434661cb7b67cee11f72f58cf96c4a4002e29"},"schema_version":"1.0"},"canonical_sha256":"c8b477a043134418381a36e79b4692917a369f1221bf9a18f79d0ebbff3dac13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:54.263694Z","signature_b64":"HERH6CqgMY7gO3c3lxRZVi/Siogct44J4YnyQ1jdTm/s2N3LEtNfkCSlJZlCFACXY5a7S0bMMikTM0HA7OIWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c8b477a043134418381a36e79b4692917a369f1221bf9a18f79d0ebbff3dac13","last_reissued_at":"2026-07-05T11:50:54.263199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:54.263199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.06327","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":"2026-07-05T11:50:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GjfDuGl57Xfapi0v3nDcOtB7nQV6DhRXuC2q5ZEdGljXWLSGREriS/2WytFR8HpvPh9pEGNPSZB1KVVmnQ4tCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:21:20.382381Z"},"content_sha256":"a30eb2376b7d834400645cb30dfa32bca20ec02ba634dc73e2ecb76d5c5b269a","schema_version":"1.0","event_id":"sha256:a30eb2376b7d834400645cb30dfa32bca20ec02ba634dc73e2ecb76d5c5b269a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZC2HPICDCNCBQOA2G3TZWRUSSF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Duygu Sarikaya, Kieran Zucker, Marc de Kamps, Nishant Ravikumar, Xin Ci Wong","submitted_at":"2025-08-08T13:57:48Z","abstract_excerpt":"Magnetic resonance (MR) imaging, including cardiac MR, is prone to domain shift due to variations in imaging devices and acquisition protocols. This challenge limits the deployment of trained AI models in real-world scenarios, where performance degrades on unseen domains. Traditional solutions involve increasing the size of the dataset through ad-hoc image augmentation or additional online training/transfer learning, which have several limitations. Synthetic data offers a promising alternative, but anatomical/structural consistency constraints limit the effectiveness of generative models in cr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06327","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/2508.06327/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":"2026-07-05T11:50:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bs2vELowPhA7WjXcx3yX+9qWW2mwOISkXs5iZZueuJQFy0vr+/m1SKhPScXf2tbrUKgZDo/09hCpn9piJRxdCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:21:20.382970Z"},"content_sha256":"c3a09795c2b2c5c40536e4800265ce0544ef7754685ae9db10a8ff55151f23d9","schema_version":"1.0","event_id":"sha256:c3a09795c2b2c5c40536e4800265ce0544ef7754685ae9db10a8ff55151f23d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF/bundle.json","state_url":"https://pith.science/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF/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":"2026-08-07T09:21:20Z","links":{"resolver":"https://pith.science/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF","bundle":"https://pith.science/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF/bundle.json","state":"https://pith.science/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZC2HPICDCNCBQOA2G3TZWRUSSF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZC2HPICDCNCBQOA2G3TZWRUSSF","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":"b16a3043e33778466870dbec0d9434661cb7b67cee11f72f58cf96c4a4002e29","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T13:57:48Z","title_canon_sha256":"2fc7d137566d8902a50abb29e0f462d287ee4161720293a42c7f99f26f1499fc"},"schema_version":"1.0","source":{"id":"2508.06327","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06327","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06327v1","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06327","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZC2HPICDCNCB","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZC2HPICDCNCBQOA2","created_at":"2026-07-05T11:50:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZC2HPICD","created_at":"2026-07-05T11:50:54Z"}],"graph_snapshots":[{"event_id":"sha256:c3a09795c2b2c5c40536e4800265ce0544ef7754685ae9db10a8ff55151f23d9","target":"graph","created_at":"2026-07-05T11:50:54Z","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/2508.06327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Magnetic resonance (MR) imaging, including cardiac MR, is prone to domain shift due to variations in imaging devices and acquisition protocols. This challenge limits the deployment of trained AI models in real-world scenarios, where performance degrades on unseen domains. Traditional solutions involve increasing the size of the dataset through ad-hoc image augmentation or additional online training/transfer learning, which have several limitations. Synthetic data offers a promising alternative, but anatomical/structural consistency constraints limit the effectiveness of generative models in cr","authors_text":"Duygu Sarikaya, Kieran Zucker, Marc de Kamps, Nishant Ravikumar, Xin Ci Wong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T13:57:48Z","title":"Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06327","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:a30eb2376b7d834400645cb30dfa32bca20ec02ba634dc73e2ecb76d5c5b269a","target":"record","created_at":"2026-07-05T11:50:54Z","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":"b16a3043e33778466870dbec0d9434661cb7b67cee11f72f58cf96c4a4002e29","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-08T13:57:48Z","title_canon_sha256":"2fc7d137566d8902a50abb29e0f462d287ee4161720293a42c7f99f26f1499fc"},"schema_version":"1.0","source":{"id":"2508.06327","kind":"arxiv","version":1}},"canonical_sha256":"c8b477a043134418381a36e79b4692917a369f1221bf9a18f79d0ebbff3dac13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8b477a043134418381a36e79b4692917a369f1221bf9a18f79d0ebbff3dac13","first_computed_at":"2026-07-05T11:50:54.263199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:54.263199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HERH6CqgMY7gO3c3lxRZVi/Siogct44J4YnyQ1jdTm/s2N3LEtNfkCSlJZlCFACXY5a7S0bMMikTM0HA7OIWBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:54.263694Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.06327","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a30eb2376b7d834400645cb30dfa32bca20ec02ba634dc73e2ecb76d5c5b269a","sha256:c3a09795c2b2c5c40536e4800265ce0544ef7754685ae9db10a8ff55151f23d9"],"state_sha256":"2ad0315dfc02d43d487f581a692a6cba9f2e9c1379939f28785f49d73987ec6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UjTiH1KDj31X+kVjf9HCsvbfaF9eyQbNrndzkL9XSN7eNNH89fq1gs4w7ZSB5mK22Hr7AiHwWAswzRrsLcYwDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:21:20.390762Z","bundle_sha256":"537519e4d614cb368428be2fd70170158c10da5d7729e7599066e9007ef6609f"}}