{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:T5MHYH5BDNE73V22GX2JGTNDQQ","short_pith_number":"pith:T5MHYH5B","canonical_record":{"source":{"id":"1905.01744","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-05T20:16:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"000b18d45fea5323494d8c0031814f23747673f2d0141f3cb1abe79cb34997dd","abstract_canon_sha256":"fbd513eeaaf7c97cc13e469816b7dbfcbae4021cad25ebd173d3ccbd2ee60be0"},"schema_version":"1.0"},"canonical_sha256":"9f587c1fa11b49fdd75a35f4934da384277ac4a9161170dd517f8ca3ebf7335d","source":{"kind":"arxiv","id":"1905.01744","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01744","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01744v1","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01744","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"pith_short_12","alias_value":"T5MHYH5BDNE7","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"T5MHYH5BDNE73V22","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"T5MHYH5B","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:T5MHYH5BDNE73V22GX2JGTNDQQ","target":"record","payload":{"canonical_record":{"source":{"id":"1905.01744","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-05T20:16:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"000b18d45fea5323494d8c0031814f23747673f2d0141f3cb1abe79cb34997dd","abstract_canon_sha256":"fbd513eeaaf7c97cc13e469816b7dbfcbae4021cad25ebd173d3ccbd2ee60be0"},"schema_version":"1.0"},"canonical_sha256":"9f587c1fa11b49fdd75a35f4934da384277ac4a9161170dd517f8ca3ebf7335d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:57.580640Z","signature_b64":"KNQC8B5Nu2E0WccZyBiI1D0muP4moQqbONvtDzfbUhv/2HYp2lJnvWm99XpQa1UOWoe/tHBqyvNdn3M+/FuFBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f587c1fa11b49fdd75a35f4934da384277ac4a9161170dd517f8ca3ebf7335d","last_reissued_at":"2026-05-17T23:46:57.579968Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:57.579968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.01744","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":"2026-05-17T23:46:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bEqg4QFjYsWjQY2zWznm1skWIYI0aiwAgBxyxlWgET0pIIoW6ppfIe/0zjL6cr7rGsQGADKIE0pO2KjGySWPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T22:37:17.559856Z"},"content_sha256":"5df73b2250ce0f272d37936ca613545c476a76eb82998eab5912f77115983129","schema_version":"1.0","event_id":"sha256:5df73b2250ce0f272d37936ca613545c476a76eb82998eab5912f77115983129"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:T5MHYH5BDNE73V22GX2JGTNDQQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Instance-level Image-to-Image Translation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jianping Shi, Mingyang Huang, Thomas Huang, Xiangyang Xue, Zhiqiang Shen","submitted_at":"2019-05-05T20:16:41Z","abstract_excerpt":"Unpaired Image-to-image Translation is a new rising and challenging vision problem that aims to learn a mapping between unaligned image pairs in diverse domains. Recent advances in this field like MUNIT and DRIT mainly focus on disentangling content and style/attribute from a given image first, then directly adopting the global style to guide the model to synthesize new domain images. However, this kind of approaches severely incurs contradiction if the target domain images are content-rich with multiple discrepant objects. In this paper, we present a simple yet effective instance-aware image-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01744","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":"2026-05-17T23:46:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ubmf3p1FlUatbpXCIvrPEW9hMkXow0HQrM4HUZy0B0gysvUCkVcLUPbJ2s9SdbG5dTmoYBaEHlilARZq+kKvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T22:37:17.560517Z"},"content_sha256":"c1ea641439d9b9c635bf69249c1b99f57a11496d0cfb2c4e5a3d8de67f9ad340","schema_version":"1.0","event_id":"sha256:c1ea641439d9b9c635bf69249c1b99f57a11496d0cfb2c4e5a3d8de67f9ad340"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T5MHYH5BDNE73V22GX2JGTNDQQ/bundle.json","state_url":"https://pith.science/pith/T5MHYH5BDNE73V22GX2JGTNDQQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T5MHYH5BDNE73V22GX2JGTNDQQ/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":"2026-05-28T22:37:17Z","links":{"resolver":"https://pith.science/pith/T5MHYH5BDNE73V22GX2JGTNDQQ","bundle":"https://pith.science/pith/T5MHYH5BDNE73V22GX2JGTNDQQ/bundle.json","state":"https://pith.science/pith/T5MHYH5BDNE73V22GX2JGTNDQQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T5MHYH5BDNE73V22GX2JGTNDQQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:T5MHYH5BDNE73V22GX2JGTNDQQ","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":"fbd513eeaaf7c97cc13e469816b7dbfcbae4021cad25ebd173d3ccbd2ee60be0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-05T20:16:41Z","title_canon_sha256":"000b18d45fea5323494d8c0031814f23747673f2d0141f3cb1abe79cb34997dd"},"schema_version":"1.0","source":{"id":"1905.01744","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01744","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01744v1","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01744","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"pith_short_12","alias_value":"T5MHYH5BDNE7","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"T5MHYH5BDNE73V22","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"T5MHYH5B","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:c1ea641439d9b9c635bf69249c1b99f57a11496d0cfb2c4e5a3d8de67f9ad340","target":"graph","created_at":"2026-05-17T23:46:57Z","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 is a new rising and challenging vision problem that aims to learn a mapping between unaligned image pairs in diverse domains. Recent advances in this field like MUNIT and DRIT mainly focus on disentangling content and style/attribute from a given image first, then directly adopting the global style to guide the model to synthesize new domain images. However, this kind of approaches severely incurs contradiction if the target domain images are content-rich with multiple discrepant objects. In this paper, we present a simple yet effective instance-aware image-","authors_text":"Jianping Shi, Mingyang Huang, Thomas Huang, Xiangyang Xue, Zhiqiang Shen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-05T20:16:41Z","title":"Towards Instance-level Image-to-Image Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01744","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":"sha256:5df73b2250ce0f272d37936ca613545c476a76eb82998eab5912f77115983129","target":"record","created_at":"2026-05-17T23:46:57Z","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":"fbd513eeaaf7c97cc13e469816b7dbfcbae4021cad25ebd173d3ccbd2ee60be0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-05T20:16:41Z","title_canon_sha256":"000b18d45fea5323494d8c0031814f23747673f2d0141f3cb1abe79cb34997dd"},"schema_version":"1.0","source":{"id":"1905.01744","kind":"arxiv","version":1}},"canonical_sha256":"9f587c1fa11b49fdd75a35f4934da384277ac4a9161170dd517f8ca3ebf7335d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f587c1fa11b49fdd75a35f4934da384277ac4a9161170dd517f8ca3ebf7335d","first_computed_at":"2026-05-17T23:46:57.579968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:57.579968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KNQC8B5Nu2E0WccZyBiI1D0muP4moQqbONvtDzfbUhv/2HYp2lJnvWm99XpQa1UOWoe/tHBqyvNdn3M+/FuFBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:57.580640Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.01744","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5df73b2250ce0f272d37936ca613545c476a76eb82998eab5912f77115983129","sha256:c1ea641439d9b9c635bf69249c1b99f57a11496d0cfb2c4e5a3d8de67f9ad340"],"state_sha256":"89d1f5248ae583ca8316f24fb663362681be33e28cfc6c67b16e0058a6b2d5d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mBae9RgdmfM0Y1NZmRF29URwCI0/QhtQBd8QhA59pxl2oeeddFw0xP860IxXzxfL3SMvUfxTmGP3csYsE4ZMDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T22:37:17.563876Z","bundle_sha256":"9f5611ae1d5f4b9294596943e5ff2299ce8670b72de6991b4a2c4cb0966b5e4c"}}