{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:66P6R6DXQUK3SCZ7BCAW5Q2QV4","short_pith_number":"pith:66P6R6DX","canonical_record":{"source":{"id":"1804.00410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-02T06:27:50Z","cross_cats_sorted":[],"title_canon_sha256":"3169ee2a37d459111797595c8de3daf571c78f76e8de55703a16d6e6a9a40091","abstract_canon_sha256":"bae9663b4f640c496ca669bc6fbf00378056d993613b605a234cf99ef508a0de"},"schema_version":"1.0"},"canonical_sha256":"f79fe8f8778515b90b3f08816ec350af036576e45c839cbc78dacaa49d9a330f","source":{"kind":"arxiv","id":"1804.00410","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00410","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00410v1","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00410","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"66P6R6DXQUK3","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"66P6R6DXQUK3SCZ7","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"66P6R6DX","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:66P6R6DXQUK3SCZ7BCAW5Q2QV4","target":"record","payload":{"canonical_record":{"source":{"id":"1804.00410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-02T06:27:50Z","cross_cats_sorted":[],"title_canon_sha256":"3169ee2a37d459111797595c8de3daf571c78f76e8de55703a16d6e6a9a40091","abstract_canon_sha256":"bae9663b4f640c496ca669bc6fbf00378056d993613b605a234cf99ef508a0de"},"schema_version":"1.0"},"canonical_sha256":"f79fe8f8778515b90b3f08816ec350af036576e45c839cbc78dacaa49d9a330f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:37.295936Z","signature_b64":"IptHGAYqlfxq6Y5OdIdrQC2QXIDVDgcmFrgYabYZpevNXOwKJl4L08Vn2ErP1VduXAYR3p7N19HQWfLWKb45Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f79fe8f8778515b90b3f08816ec350af036576e45c839cbc78dacaa49d9a330f","last_reissued_at":"2026-05-18T00:19:37.295163Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:37.295163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.00410","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":"2026-05-18T00:19:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3hLukQ3S91iQXOil++3lRiPXGRDi2ycKLi2KUhAktGNt1FvonacM3Tk+ACOaVcfPwV3nCJ6XC6lMCjiXBewBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T19:11:47.220370Z"},"content_sha256":"7ef3d47dbb54be150fd84b5981a15dd05dfb5166693a44d4402f1fcdba42f7a8","schema_version":"1.0","event_id":"sha256:7ef3d47dbb54be150fd84b5981a15dd05dfb5166693a44d4402f1fcdba42f7a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:66P6R6DXQUK3SCZ7BCAW5Q2QV4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chien-Wen Chen, Min-Chun Hu, Wen-Cheng Chen","submitted_at":"2018-04-02T06:27:50Z","abstract_excerpt":"Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. Most existing methods of conditional based cross-modal GANs adopt the strategy of one-directional transfer and have achieved preliminary success on text-to-image transfer. Instead of learning the transfer between different modalities, we aim to learn a synchronous latent space representing the cross-modal common concept. A novel network component named synchronizer is proposed in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00410","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":"2026-05-18T00:19:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A2XCZ4RFJHskTiXq9D0au1kd00gpNADbiJbER8ogCbn3XZAJ/9b0vMzR12cSNcu6p8+xTPic1Az7GY+ow7wECA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T19:11:47.220718Z"},"content_sha256":"9087a0e228f671f88468b686f1f94626f753bf416b29b24d733aa005f920fb88","schema_version":"1.0","event_id":"sha256:9087a0e228f671f88468b686f1f94626f753bf416b29b24d733aa005f920fb88"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4/bundle.json","state_url":"https://pith.science/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4/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":"2026-06-30T19:11:47Z","links":{"resolver":"https://pith.science/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4","bundle":"https://pith.science/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4/bundle.json","state":"https://pith.science/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66P6R6DXQUK3SCZ7BCAW5Q2QV4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:66P6R6DXQUK3SCZ7BCAW5Q2QV4","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":"bae9663b4f640c496ca669bc6fbf00378056d993613b605a234cf99ef508a0de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-02T06:27:50Z","title_canon_sha256":"3169ee2a37d459111797595c8de3daf571c78f76e8de55703a16d6e6a9a40091"},"schema_version":"1.0","source":{"id":"1804.00410","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00410","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00410v1","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00410","created_at":"2026-05-18T00:19:37Z"},{"alias_kind":"pith_short_12","alias_value":"66P6R6DXQUK3","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"66P6R6DXQUK3SCZ7","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"66P6R6DX","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:9087a0e228f671f88468b686f1f94626f753bf416b29b24d733aa005f920fb88","target":"graph","created_at":"2026-05-18T00:19:37Z","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":"Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. Most existing methods of conditional based cross-modal GANs adopt the strategy of one-directional transfer and have achieved preliminary success on text-to-image transfer. Instead of learning the transfer between different modalities, we aim to learn a synchronous latent space representing the cross-modal common concept. A novel network component named synchronizer is proposed in t","authors_text":"Chien-Wen Chen, Min-Chun Hu, Wen-Cheng Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-02T06:27:50Z","title":"SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00410","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":"sha256:7ef3d47dbb54be150fd84b5981a15dd05dfb5166693a44d4402f1fcdba42f7a8","target":"record","created_at":"2026-05-18T00:19:37Z","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":"bae9663b4f640c496ca669bc6fbf00378056d993613b605a234cf99ef508a0de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-02T06:27:50Z","title_canon_sha256":"3169ee2a37d459111797595c8de3daf571c78f76e8de55703a16d6e6a9a40091"},"schema_version":"1.0","source":{"id":"1804.00410","kind":"arxiv","version":1}},"canonical_sha256":"f79fe8f8778515b90b3f08816ec350af036576e45c839cbc78dacaa49d9a330f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f79fe8f8778515b90b3f08816ec350af036576e45c839cbc78dacaa49d9a330f","first_computed_at":"2026-05-18T00:19:37.295163Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:37.295163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IptHGAYqlfxq6Y5OdIdrQC2QXIDVDgcmFrgYabYZpevNXOwKJl4L08Vn2ErP1VduXAYR3p7N19HQWfLWKb45Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:37.295936Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.00410","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ef3d47dbb54be150fd84b5981a15dd05dfb5166693a44d4402f1fcdba42f7a8","sha256:9087a0e228f671f88468b686f1f94626f753bf416b29b24d733aa005f920fb88"],"state_sha256":"1318728b5e12006e521cc7ec3d7c4704b0fc61e4b51cf3192ca89e96745ad9c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XHGedwo8DUIAqsh5MlyGcYavhWKCF/nOCQohvMUX4Wpn5LyXuZoVP0vH4acr84BQDhopOyU5beTwegdx80BCDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T19:11:47.222606Z","bundle_sha256":"7a61a239b966974a09025d946987357460c27a84b17fc01f61511550cb5164f8"}}