{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:IUTP3Q5YJC45YA2HNC3Y3IWOBB","short_pith_number":"pith:IUTP3Q5Y","canonical_record":{"source":{"id":"1908.05324","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T19:35:02Z","cross_cats_sorted":[],"title_canon_sha256":"42660529f1aece0d34ad9485ea136df080cfd2783335418f6cd1b7808b43bd23","abstract_canon_sha256":"229853862d3a7c756264a0d5078d8340975740d03fe804ce793391c96cef5624"},"schema_version":"1.0"},"canonical_sha256":"4526fdc3b848b9dc034768b78da2ce0851fccbe9eab2871261d0d6a855fa63a2","source":{"kind":"arxiv","id":"1908.05324","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05324","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05324v1","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05324","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"pith_short_12","alias_value":"IUTP3Q5YJC45","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"pith_short_16","alias_value":"IUTP3Q5YJC45YA2H","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"pith_short_8","alias_value":"IUTP3Q5Y","created_at":"2026-07-04T23:56:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:IUTP3Q5YJC45YA2HNC3Y3IWOBB","target":"record","payload":{"canonical_record":{"source":{"id":"1908.05324","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T19:35:02Z","cross_cats_sorted":[],"title_canon_sha256":"42660529f1aece0d34ad9485ea136df080cfd2783335418f6cd1b7808b43bd23","abstract_canon_sha256":"229853862d3a7c756264a0d5078d8340975740d03fe804ce793391c96cef5624"},"schema_version":"1.0"},"canonical_sha256":"4526fdc3b848b9dc034768b78da2ce0851fccbe9eab2871261d0d6a855fa63a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:56:50.181938Z","signature_b64":"7EVvy6R8vIbxmSCNNN0+Elp3TMKkLpND3wwAs3OY+t3r6agnkHHtG3ts0d5QEYcauFhwQlLpsQK3eocHvgMdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4526fdc3b848b9dc034768b78da2ce0851fccbe9eab2871261d0d6a855fa63a2","last_reissued_at":"2026-07-04T23:56:50.181526Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:56:50.181526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.05324","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":"2026-07-04T23:56:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xya8+SP5FdvMvzABYxgXNCAalGtpS+E1FJonPCm0W99sddBoxdBDO8mMNMN6+7mMOQ0h1DCH1QgzGTmiZBMcBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:34:51.604935Z"},"content_sha256":"a84e8f672e547b4ac03a60505ba66fe72a27f8b45ab1bc15d397349ac3c0fd16","schema_version":"1.0","event_id":"sha256:a84e8f672e547b4ac03a60505ba66fe72a27f8b45ab1bc15d397349ac3c0fd16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:IUTP3Q5YJC45YA2HNC3Y3IWOBB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual Adversarial Inference for Text-to-Image Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmad Pesaranghader, Francis Dutil, Lisa Di Jorio, Mohammad Havaei, Qicheng Lao, Thomas Fevens","submitted_at":"2019-08-14T19:35:02Z","abstract_excerpt":"Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly described in the text (e.g., color, composition, etc.), and the style, which is usually not well described in the text (e.g., location, quantity, size, etc.). However, in previous works, it is typically treated as a process of generating images only from the content, i.e., without considering learning meaningful style representations. In this paper, we aim to learn two variables that are disentangled in the latent space, representing content and style"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05324","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/1908.05324/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":"2026-07-04T23:56:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kt3MoBTI8OaWQl76iGXMRbpj28r7mU8p9PfQ//chKn8xwYWOs42CpTZ1uDHuaxYse0F/a5dfeEcQgynH2l+YCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:34:51.605543Z"},"content_sha256":"c14bb15a84261973822ed76a63395a2ee9875d4701bf4890e79cc3e32ee80879","schema_version":"1.0","event_id":"sha256:c14bb15a84261973822ed76a63395a2ee9875d4701bf4890e79cc3e32ee80879"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB/bundle.json","state_url":"https://pith.science/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB/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":"2026-08-15T21:34:51Z","links":{"resolver":"https://pith.science/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB","bundle":"https://pith.science/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB/bundle.json","state":"https://pith.science/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IUTP3Q5YJC45YA2HNC3Y3IWOBB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IUTP3Q5YJC45YA2HNC3Y3IWOBB","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":"229853862d3a7c756264a0d5078d8340975740d03fe804ce793391c96cef5624","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T19:35:02Z","title_canon_sha256":"42660529f1aece0d34ad9485ea136df080cfd2783335418f6cd1b7808b43bd23"},"schema_version":"1.0","source":{"id":"1908.05324","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05324","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05324v1","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05324","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"pith_short_12","alias_value":"IUTP3Q5YJC45","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"pith_short_16","alias_value":"IUTP3Q5YJC45YA2H","created_at":"2026-07-04T23:56:50Z"},{"alias_kind":"pith_short_8","alias_value":"IUTP3Q5Y","created_at":"2026-07-04T23:56:50Z"}],"graph_snapshots":[{"event_id":"sha256:c14bb15a84261973822ed76a63395a2ee9875d4701bf4890e79cc3e32ee80879","target":"graph","created_at":"2026-07-04T23:56:50Z","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/1908.05324/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly described in the text (e.g., color, composition, etc.), and the style, which is usually not well described in the text (e.g., location, quantity, size, etc.). However, in previous works, it is typically treated as a process of generating images only from the content, i.e., without considering learning meaningful style representations. In this paper, we aim to learn two variables that are disentangled in the latent space, representing content and style","authors_text":"Ahmad Pesaranghader, Francis Dutil, Lisa Di Jorio, Mohammad Havaei, Qicheng Lao, Thomas Fevens","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T19:35:02Z","title":"Dual Adversarial Inference for Text-to-Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05324","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:a84e8f672e547b4ac03a60505ba66fe72a27f8b45ab1bc15d397349ac3c0fd16","target":"record","created_at":"2026-07-04T23:56:50Z","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":"229853862d3a7c756264a0d5078d8340975740d03fe804ce793391c96cef5624","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T19:35:02Z","title_canon_sha256":"42660529f1aece0d34ad9485ea136df080cfd2783335418f6cd1b7808b43bd23"},"schema_version":"1.0","source":{"id":"1908.05324","kind":"arxiv","version":1}},"canonical_sha256":"4526fdc3b848b9dc034768b78da2ce0851fccbe9eab2871261d0d6a855fa63a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4526fdc3b848b9dc034768b78da2ce0851fccbe9eab2871261d0d6a855fa63a2","first_computed_at":"2026-07-04T23:56:50.181526Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:56:50.181526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7EVvy6R8vIbxmSCNNN0+Elp3TMKkLpND3wwAs3OY+t3r6agnkHHtG3ts0d5QEYcauFhwQlLpsQK3eocHvgMdCA==","signature_status":"signed_v1","signed_at":"2026-07-04T23:56:50.181938Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05324","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a84e8f672e547b4ac03a60505ba66fe72a27f8b45ab1bc15d397349ac3c0fd16","sha256:c14bb15a84261973822ed76a63395a2ee9875d4701bf4890e79cc3e32ee80879"],"state_sha256":"dff907efb696cd9dd4cb9468693635a6928126e37110c33b70df778539e10a34"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nFkeky59XIoae6tNmi3TojM20xy7/6+/SqZshxA4w2xrNM9UYuhRH6YavVAg9nRyUmZhlaKwtNkjRqJlDj0lBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T21:34:51.609775Z","bundle_sha256":"3161b62031ae56e78d2515015338ef7a2ef44a18e2dc02d070e9e61832545d77"}}