{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:W6QUBLV7CFGLL4C2BVARZHSEPD","short_pith_number":"pith:W6QUBLV7","canonical_record":{"source":{"id":"1903.03374","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-08T11:27:34Z","cross_cats_sorted":[],"title_canon_sha256":"a3df22d0e851488b7f530845265a577f88db1372d198c2d63f9da729dc06673b","abstract_canon_sha256":"bab1135ee2c538eb9000c3521c60db054605a7baa2a496f5a677340c0dbc7e8c"},"schema_version":"1.0"},"canonical_sha256":"b7a140aebf114cb5f05a0d411c9e4478ddd15105af63bacf3ea176fbe1ec87ac","source":{"kind":"arxiv","id":"1903.03374","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.03374","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"1903.03374v1","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.03374","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"W6QUBLV7CFGL","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"pith_short_16","alias_value":"W6QUBLV7CFGLL4C2","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"pith_short_8","alias_value":"W6QUBLV7","created_at":"2026-07-05T02:10:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:W6QUBLV7CFGLL4C2BVARZHSEPD","target":"record","payload":{"canonical_record":{"source":{"id":"1903.03374","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-08T11:27:34Z","cross_cats_sorted":[],"title_canon_sha256":"a3df22d0e851488b7f530845265a577f88db1372d198c2d63f9da729dc06673b","abstract_canon_sha256":"bab1135ee2c538eb9000c3521c60db054605a7baa2a496f5a677340c0dbc7e8c"},"schema_version":"1.0"},"canonical_sha256":"b7a140aebf114cb5f05a0d411c9e4478ddd15105af63bacf3ea176fbe1ec87ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:10:47.598925Z","signature_b64":"cNnrounixSQS95TeEKl3TrU65i434uVzhAigIlJtWgE7j33NR/KwHZURFVIYYOxo7wsxrzZRl3EHgL3HPOQyDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7a140aebf114cb5f05a0d411c9e4478ddd15105af63bacf3ea176fbe1ec87ac","last_reissued_at":"2026-07-05T02:10:47.598519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:10:47.598519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.03374","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":"2026-07-05T02:10:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tv4FnkvDgMpwcEOii6Is/JGI+Amvsy6iXstreADF/yCTlcGKq+SyYVtb37CFw4ttvUVxMSaqkeuCkY82VLZeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:28:22.865012Z"},"content_sha256":"89dc464e8c7171c5fccd9a35bcee686070c47cc5c3b03d1b843f1461e5ab62c0","schema_version":"1.0","event_id":"sha256:89dc464e8c7171c5fccd9a35bcee686070c47cc5c3b03d1b843f1461e5ab62c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:W6QUBLV7CFGLL4C2BVARZHSEPD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unsupervised Medical Image Translation Using Cycle-MedGAN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Yang, Chenming Jiang, Karim Armanious, Sergios Gatidis, Sherif Abdulatif, Thomas K\\\"ustner","submitted_at":"2019-03-08T11:27:34Z","abstract_excerpt":"Image-to-image translation is a new field in computer vision with multiple potential applications in the medical domain. However, for supervised image translation frameworks, co-registered datasets, paired in a pixel-wise sense, are required. This is often difficult to acquire in realistic medical scenarios. On the other hand, unsupervised translation frameworks often result in blurred translated images with unrealistic details. In this work, we propose a new unsupervised translation framework which is titled Cycle-MedGAN. The proposed framework utilizes new non-adversarial cycle losses which "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.03374","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/1903.03374/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":"2026-07-05T02:10:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1fIPKOdRrm1qbl/62SLxZWKrW4hmDxRaZaUWRqP3SS+PfNej5TlWu+YCylA0eeRCne+M/0h8SYk0CmZplvsSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:28:22.865636Z"},"content_sha256":"70778ef2b9d95912ef27ad6193c023c0a459680dbb9e75605ab36a8965d88f5d","schema_version":"1.0","event_id":"sha256:70778ef2b9d95912ef27ad6193c023c0a459680dbb9e75605ab36a8965d88f5d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W6QUBLV7CFGLL4C2BVARZHSEPD/bundle.json","state_url":"https://pith.science/pith/W6QUBLV7CFGLL4C2BVARZHSEPD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W6QUBLV7CFGLL4C2BVARZHSEPD/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":"2026-07-07T05:28:22Z","links":{"resolver":"https://pith.science/pith/W6QUBLV7CFGLL4C2BVARZHSEPD","bundle":"https://pith.science/pith/W6QUBLV7CFGLL4C2BVARZHSEPD/bundle.json","state":"https://pith.science/pith/W6QUBLV7CFGLL4C2BVARZHSEPD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W6QUBLV7CFGLL4C2BVARZHSEPD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:W6QUBLV7CFGLL4C2BVARZHSEPD","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":"bab1135ee2c538eb9000c3521c60db054605a7baa2a496f5a677340c0dbc7e8c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-08T11:27:34Z","title_canon_sha256":"a3df22d0e851488b7f530845265a577f88db1372d198c2d63f9da729dc06673b"},"schema_version":"1.0","source":{"id":"1903.03374","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.03374","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"1903.03374v1","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.03374","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"W6QUBLV7CFGL","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"pith_short_16","alias_value":"W6QUBLV7CFGLL4C2","created_at":"2026-07-05T02:10:47Z"},{"alias_kind":"pith_short_8","alias_value":"W6QUBLV7","created_at":"2026-07-05T02:10:47Z"}],"graph_snapshots":[{"event_id":"sha256:70778ef2b9d95912ef27ad6193c023c0a459680dbb9e75605ab36a8965d88f5d","target":"graph","created_at":"2026-07-05T02:10:47Z","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/1903.03374/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image-to-image translation is a new field in computer vision with multiple potential applications in the medical domain. However, for supervised image translation frameworks, co-registered datasets, paired in a pixel-wise sense, are required. This is often difficult to acquire in realistic medical scenarios. On the other hand, unsupervised translation frameworks often result in blurred translated images with unrealistic details. In this work, we propose a new unsupervised translation framework which is titled Cycle-MedGAN. The proposed framework utilizes new non-adversarial cycle losses which ","authors_text":"Bin Yang, Chenming Jiang, Karim Armanious, Sergios Gatidis, Sherif Abdulatif, Thomas K\\\"ustner","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-08T11:27:34Z","title":"Unsupervised Medical Image Translation Using Cycle-MedGAN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.03374","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":"sha256:89dc464e8c7171c5fccd9a35bcee686070c47cc5c3b03d1b843f1461e5ab62c0","target":"record","created_at":"2026-07-05T02:10:47Z","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":"bab1135ee2c538eb9000c3521c60db054605a7baa2a496f5a677340c0dbc7e8c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-08T11:27:34Z","title_canon_sha256":"a3df22d0e851488b7f530845265a577f88db1372d198c2d63f9da729dc06673b"},"schema_version":"1.0","source":{"id":"1903.03374","kind":"arxiv","version":1}},"canonical_sha256":"b7a140aebf114cb5f05a0d411c9e4478ddd15105af63bacf3ea176fbe1ec87ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7a140aebf114cb5f05a0d411c9e4478ddd15105af63bacf3ea176fbe1ec87ac","first_computed_at":"2026-07-05T02:10:47.598519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:10:47.598519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cNnrounixSQS95TeEKl3TrU65i434uVzhAigIlJtWgE7j33NR/KwHZURFVIYYOxo7wsxrzZRl3EHgL3HPOQyDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:10:47.598925Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.03374","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89dc464e8c7171c5fccd9a35bcee686070c47cc5c3b03d1b843f1461e5ab62c0","sha256:70778ef2b9d95912ef27ad6193c023c0a459680dbb9e75605ab36a8965d88f5d"],"state_sha256":"8047504763d57797cb1f58fc10459b43af1cd4eddf23eab4166b89a862867bfb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fQg5kG6f1iYLCbER/X3WLjWl9+ey+QRnA4luNP1ylMDgEvM5+cTv9MzkCY8HCVT9rgIoTduQHJPhkp5K9GZ5AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:28:22.868817Z","bundle_sha256":"170426979c263c00cbec7f48b07903f8263e9948f15eb9155d599d1fb03ebe40"}}