{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:D4KPLLOLSD7T3E2SSPFU5MTYTC","short_pith_number":"pith:D4KPLLOL","canonical_record":{"source":{"id":"1904.12428","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T02:50:32Z","cross_cats_sorted":[],"title_canon_sha256":"55857173d9f797e8da88376b4aec9d7071979a04fbe9caa74079a0e434afa50e","abstract_canon_sha256":"4c6da8b285233e210b757b2941d104b674b667997959e8a125809ff43b292973"},"schema_version":"1.0"},"canonical_sha256":"1f14f5adcb90ff3d935293cb4eb27898a6ceb5cc12a115f7c05ae9b2aba69645","source":{"kind":"arxiv","id":"1904.12428","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12428","created_at":"2026-05-17T23:47:35Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12428v1","created_at":"2026-05-17T23:47:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12428","created_at":"2026-05-17T23:47:35Z"},{"alias_kind":"pith_short_12","alias_value":"D4KPLLOLSD7T","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"D4KPLLOLSD7T3E2S","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"D4KPLLOL","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:D4KPLLOLSD7T3E2SSPFU5MTYTC","target":"record","payload":{"canonical_record":{"source":{"id":"1904.12428","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T02:50:32Z","cross_cats_sorted":[],"title_canon_sha256":"55857173d9f797e8da88376b4aec9d7071979a04fbe9caa74079a0e434afa50e","abstract_canon_sha256":"4c6da8b285233e210b757b2941d104b674b667997959e8a125809ff43b292973"},"schema_version":"1.0"},"canonical_sha256":"1f14f5adcb90ff3d935293cb4eb27898a6ceb5cc12a115f7c05ae9b2aba69645","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:35.200052Z","signature_b64":"7BMUGNDUXkYcNziFwLx7KZWy7cFG2RWO0qXOhulYulIaqPDMIGIt7SDyQeOE0avXlXh94ZL6wOgMYiBXAucIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f14f5adcb90ff3d935293cb4eb27898a6ceb5cc12a115f7c05ae9b2aba69645","last_reissued_at":"2026-05-17T23:47:35.199630Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:35.199630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.12428","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":"2026-05-17T23:47:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OusL81yRcPhY7Fk0sFpaJzmDPPqfBi7CCFuR2Rd5g5e41ce2vTv/SWkdVvBedot4bDuVcJNZ9L5NtJSFY91TBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:07:22.135653Z"},"content_sha256":"06a2e806443f66cc086a0403db830b1050684ffc4643d354a32b3581e89d49ca","schema_version":"1.0","event_id":"sha256:06a2e806443f66cc086a0403db830b1050684ffc4643d354a32b3581e89d49ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:D4KPLLOLSD7T3E2SSPFU5MTYTC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenglin Wu, Jie Hu, Qixiang Ye, Rongrong Ji, Shengchuan Zhang, Xiaopeng Hong, Xinyang Li","submitted_at":"2019-04-29T02:50:32Z","abstract_excerpt":"Unpaired Image-to-Image Translation (UIT) focuses on translating images among different domains by using unpaired data, which has received increasing research focus due to its practical usage. However, existing UIT schemes defect in the need of supervised training, as well as the lack of encoding domain information. In this paper, we propose an Attribute Guided UIT model termed AGUIT to tackle these two challenges. AGUIT considers multi-modal and multi-domain tasks of UIT jointly with a novel semi-supervised setting, which also merits in representation disentanglement and fine control of outpu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12428","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":""},"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":"2026-05-17T23:47:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u+0fQsgELVDqguDoB/6QzPrJ4AFoAGdLONjQo/BBAOG+uBomqEUDGI2yMC0l77QiinXgqfeoD/aoHazrrvw3Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:07:22.136298Z"},"content_sha256":"40b15afaa16de2d98f39f1f40ae78f8dcbc2a5643c0c30f0dd84bfd470c24713","schema_version":"1.0","event_id":"sha256:40b15afaa16de2d98f39f1f40ae78f8dcbc2a5643c0c30f0dd84bfd470c24713"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC/bundle.json","state_url":"https://pith.science/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC/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":"2026-05-26T11:07:22Z","links":{"resolver":"https://pith.science/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC","bundle":"https://pith.science/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC/bundle.json","state":"https://pith.science/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D4KPLLOLSD7T3E2SSPFU5MTYTC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:D4KPLLOLSD7T3E2SSPFU5MTYTC","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":"4c6da8b285233e210b757b2941d104b674b667997959e8a125809ff43b292973","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T02:50:32Z","title_canon_sha256":"55857173d9f797e8da88376b4aec9d7071979a04fbe9caa74079a0e434afa50e"},"schema_version":"1.0","source":{"id":"1904.12428","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.12428","created_at":"2026-05-17T23:47:35Z"},{"alias_kind":"arxiv_version","alias_value":"1904.12428v1","created_at":"2026-05-17T23:47:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.12428","created_at":"2026-05-17T23:47:35Z"},{"alias_kind":"pith_short_12","alias_value":"D4KPLLOLSD7T","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"D4KPLLOLSD7T3E2S","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"D4KPLLOL","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:40b15afaa16de2d98f39f1f40ae78f8dcbc2a5643c0c30f0dd84bfd470c24713","target":"graph","created_at":"2026-05-17T23:47:35Z","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"},"paper":{"abstract_excerpt":"Unpaired Image-to-Image Translation (UIT) focuses on translating images among different domains by using unpaired data, which has received increasing research focus due to its practical usage. However, existing UIT schemes defect in the need of supervised training, as well as the lack of encoding domain information. In this paper, we propose an Attribute Guided UIT model termed AGUIT to tackle these two challenges. AGUIT considers multi-modal and multi-domain tasks of UIT jointly with a novel semi-supervised setting, which also merits in representation disentanglement and fine control of outpu","authors_text":"Chenglin Wu, Jie Hu, Qixiang Ye, Rongrong Ji, Shengchuan Zhang, Xiaopeng Hong, Xinyang Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T02:50:32Z","title":"Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.12428","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":"sha256:06a2e806443f66cc086a0403db830b1050684ffc4643d354a32b3581e89d49ca","target":"record","created_at":"2026-05-17T23:47:35Z","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":"4c6da8b285233e210b757b2941d104b674b667997959e8a125809ff43b292973","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-29T02:50:32Z","title_canon_sha256":"55857173d9f797e8da88376b4aec9d7071979a04fbe9caa74079a0e434afa50e"},"schema_version":"1.0","source":{"id":"1904.12428","kind":"arxiv","version":1}},"canonical_sha256":"1f14f5adcb90ff3d935293cb4eb27898a6ceb5cc12a115f7c05ae9b2aba69645","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f14f5adcb90ff3d935293cb4eb27898a6ceb5cc12a115f7c05ae9b2aba69645","first_computed_at":"2026-05-17T23:47:35.199630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:35.199630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7BMUGNDUXkYcNziFwLx7KZWy7cFG2RWO0qXOhulYulIaqPDMIGIt7SDyQeOE0avXlXh94ZL6wOgMYiBXAucIBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:35.200052Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.12428","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06a2e806443f66cc086a0403db830b1050684ffc4643d354a32b3581e89d49ca","sha256:40b15afaa16de2d98f39f1f40ae78f8dcbc2a5643c0c30f0dd84bfd470c24713"],"state_sha256":"ffbe5c7ad94d96d8594587ecf3859557139ab50b75cae31bc6f0e418952a67b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ppLBqII3ZajODzSlEvWXYnVwSkOWt8geGvTl4R7UEiR4vAhNU0Wx/yXICkEXxQ+tgPeD5nbK51aEQPjlkHwwDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:07:22.139705Z","bundle_sha256":"222717aba146cee6ac05305a287bec524d96f9a25f0d8b72ce2ff4496bda49c4"}}