{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7PFYFSHXJXIRRPI4OTBMOXFW3Z","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":"012bc8a453f673ab6fda8f6b9e5976ec9e99b8352f88698c7c48e017b354f948","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-25T03:09:46Z","title_canon_sha256":"79a92e8afb50efcb6e0262be1cc19ac1c7537be030fdf46e1d4b4f8302ec3f2c"},"schema_version":"1.0","source":{"id":"2202.12474","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.12474","created_at":"2026-07-05T03:59:55Z"},{"alias_kind":"arxiv_version","alias_value":"2202.12474v1","created_at":"2026-07-05T03:59:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.12474","created_at":"2026-07-05T03:59:55Z"},{"alias_kind":"pith_short_12","alias_value":"7PFYFSHXJXIR","created_at":"2026-07-05T03:59:55Z"},{"alias_kind":"pith_short_16","alias_value":"7PFYFSHXJXIRRPI4","created_at":"2026-07-05T03:59:55Z"},{"alias_kind":"pith_short_8","alias_value":"7PFYFSHX","created_at":"2026-07-05T03:59:55Z"}],"graph_snapshots":[{"event_id":"sha256:eea80125402b6ed147f58320c15d27fc377fb86323d94db8c3e84150ae966f11","target":"graph","created_at":"2026-07-05T03:59:55Z","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/2202.12474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cycle reconstruction regularized adversarial training -- e.g., CycleGAN, DiscoGAN, and DualGAN -- has been widely used for image style transfer with unpaired training data. Several recent works, however, have shown that local distortions are frequent, and structural consistency cannot be guaranteed. Targeting this issue, prior works usually relied on additional segmentation or consistent feature extraction steps that are task-specific. To counter this, this work aims to learn a general add-on structural feature extractor, by explicitly enforcing the structural alignment between an input and it","authors_text":"Fangxu Xing, Georges El Fakhri, Jerry L. Prince, Jonghye Woo, Maureen Stone, Xiaofeng Liu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-25T03:09:46Z","title":"Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.12474","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":"sha256:6642ba0c4547b2a27e55cea84bde08752f4054a98d268172440cdca9cf5e954a","target":"record","created_at":"2026-07-05T03:59:55Z","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":"012bc8a453f673ab6fda8f6b9e5976ec9e99b8352f88698c7c48e017b354f948","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-25T03:09:46Z","title_canon_sha256":"79a92e8afb50efcb6e0262be1cc19ac1c7537be030fdf46e1d4b4f8302ec3f2c"},"schema_version":"1.0","source":{"id":"2202.12474","kind":"arxiv","version":1}},"canonical_sha256":"fbcb82c8f74dd118bd1c74c2c75cb6de7122df3080a2b8698c0629ab467e98ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fbcb82c8f74dd118bd1c74c2c75cb6de7122df3080a2b8698c0629ab467e98ea","first_computed_at":"2026-07-05T03:59:55.701039Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:55.701039Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cAt8jrlYkQcuczK0dec4edm65jrqtxixlIy5QbLI6RWeypwleYcczUCxxiYCuIj4poIdDpqgziHRQ/35usP4CA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:55.701562Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.12474","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6642ba0c4547b2a27e55cea84bde08752f4054a98d268172440cdca9cf5e954a","sha256:eea80125402b6ed147f58320c15d27fc377fb86323d94db8c3e84150ae966f11"],"state_sha256":"bb092828b4c60743b880f3b0f485673d97f8db0cb4efc8ab825b3fc73cc6b759"}