{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:F6I7M3AJRII7R2AOP2MFBCCRCZ","short_pith_number":"pith:F6I7M3AJ","canonical_record":{"source":{"id":"1810.11919","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-29T01:47:09Z","cross_cats_sorted":[],"title_canon_sha256":"b9b681805caba19951163b2e0a36ebbd78b44dfdaf9da1a0c2c13802831f0483","abstract_canon_sha256":"d243f4e2cab5a558083fa3b8f219b4c936af48c89071c7e1dce49920a3d5556f"},"schema_version":"1.0"},"canonical_sha256":"2f91f66c098a11f8e80e7e985088511653622c217fe4a1b475cae36aa726b530","source":{"kind":"arxiv","id":"1810.11919","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.11919","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"arxiv_version","alias_value":"1810.11919v2","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.11919","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"pith_short_12","alias_value":"F6I7M3AJRII7","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F6I7M3AJRII7R2AO","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F6I7M3AJ","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:F6I7M3AJRII7R2AOP2MFBCCRCZ","target":"record","payload":{"canonical_record":{"source":{"id":"1810.11919","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-29T01:47:09Z","cross_cats_sorted":[],"title_canon_sha256":"b9b681805caba19951163b2e0a36ebbd78b44dfdaf9da1a0c2c13802831f0483","abstract_canon_sha256":"d243f4e2cab5a558083fa3b8f219b4c936af48c89071c7e1dce49920a3d5556f"},"schema_version":"1.0"},"canonical_sha256":"2f91f66c098a11f8e80e7e985088511653622c217fe4a1b475cae36aa726b530","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:44.581777Z","signature_b64":"2y2IpIBRrvVIJcunZxjR9zxUYsdGuNYv7DcFicz6N2gKkw7kA8JzC0SFifzDdzhrJQ2lCvJaE7+wyQtlKEvxCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f91f66c098a11f8e80e7e985088511653622c217fe4a1b475cae36aa726b530","last_reissued_at":"2026-05-17T23:59:44.581299Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:44.581299Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.11919","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:59:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kLfd12p0a9POiaJTAm4I6MdQy9+yMXM3c/+g2IwC2IM6rKpRQxypLp9X4Bpj+F6BaIiX/94gIfekVZmHZzqYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T12:58:18.887504Z"},"content_sha256":"6c31ae8222e4cc6405c14b413ea44b33345c83fd3a2703053e9e9083c0b1b687","schema_version":"1.0","event_id":"sha256:6c31ae8222e4cc6405c14b413ea44b33345c83fd3a2703053e9e9083c0b1b687"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:F6I7M3AJRII7R2AOP2MFBCCRCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Seonghyeon Nam, Seon Joo Kim, Yunji Kim","submitted_at":"2018-10-29T01:47:09Z","abstract_excerpt":"This paper addresses the problem of manipulating images using natural language description. Our task aims to semantically modify visual attributes of an object in an image according to the text describing the new visual appearance. Although existing methods synthesize images having new attributes, they do not fully preserve text-irrelevant contents of the original image. In this paper, we propose the text-adaptive generative adversarial network (TAGAN) to generate semantically manipulated images while preserving text-irrelevant contents. The key to our method is the text-adaptive discriminator"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11919","kind":"arxiv","version":2},"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":"2026-05-17T23:59:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Eanm0+5v8mfmQJN10ApQI6G2Jn9kqU0orq6dbfZNOGQOVBaZ9rDi6SgrH+OONLp/WS8XEfwXZJmrDeqmhOSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T12:58:18.888199Z"},"content_sha256":"cdc838540109986f18430eb44cb2d98ebc5a1fcc46a78a95b78270d290d05a8c","schema_version":"1.0","event_id":"sha256:cdc838540109986f18430eb44cb2d98ebc5a1fcc46a78a95b78270d290d05a8c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ/bundle.json","state_url":"https://pith.science/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ/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":"2026-05-27T12:58:18Z","links":{"resolver":"https://pith.science/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ","bundle":"https://pith.science/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ/bundle.json","state":"https://pith.science/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F6I7M3AJRII7R2AOP2MFBCCRCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:F6I7M3AJRII7R2AOP2MFBCCRCZ","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":"d243f4e2cab5a558083fa3b8f219b4c936af48c89071c7e1dce49920a3d5556f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-29T01:47:09Z","title_canon_sha256":"b9b681805caba19951163b2e0a36ebbd78b44dfdaf9da1a0c2c13802831f0483"},"schema_version":"1.0","source":{"id":"1810.11919","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.11919","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"arxiv_version","alias_value":"1810.11919v2","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.11919","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"pith_short_12","alias_value":"F6I7M3AJRII7","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"F6I7M3AJRII7R2AO","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"F6I7M3AJ","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:cdc838540109986f18430eb44cb2d98ebc5a1fcc46a78a95b78270d290d05a8c","target":"graph","created_at":"2026-05-17T23:59:44Z","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":"This paper addresses the problem of manipulating images using natural language description. Our task aims to semantically modify visual attributes of an object in an image according to the text describing the new visual appearance. Although existing methods synthesize images having new attributes, they do not fully preserve text-irrelevant contents of the original image. In this paper, we propose the text-adaptive generative adversarial network (TAGAN) to generate semantically manipulated images while preserving text-irrelevant contents. The key to our method is the text-adaptive discriminator","authors_text":"Seonghyeon Nam, Seon Joo Kim, Yunji Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-29T01:47:09Z","title":"Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11919","kind":"arxiv","version":2},"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":"sha256:6c31ae8222e4cc6405c14b413ea44b33345c83fd3a2703053e9e9083c0b1b687","target":"record","created_at":"2026-05-17T23:59:44Z","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":"d243f4e2cab5a558083fa3b8f219b4c936af48c89071c7e1dce49920a3d5556f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-29T01:47:09Z","title_canon_sha256":"b9b681805caba19951163b2e0a36ebbd78b44dfdaf9da1a0c2c13802831f0483"},"schema_version":"1.0","source":{"id":"1810.11919","kind":"arxiv","version":2}},"canonical_sha256":"2f91f66c098a11f8e80e7e985088511653622c217fe4a1b475cae36aa726b530","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f91f66c098a11f8e80e7e985088511653622c217fe4a1b475cae36aa726b530","first_computed_at":"2026-05-17T23:59:44.581299Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:44.581299Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2y2IpIBRrvVIJcunZxjR9zxUYsdGuNYv7DcFicz6N2gKkw7kA8JzC0SFifzDdzhrJQ2lCvJaE7+wyQtlKEvxCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:44.581777Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.11919","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c31ae8222e4cc6405c14b413ea44b33345c83fd3a2703053e9e9083c0b1b687","sha256:cdc838540109986f18430eb44cb2d98ebc5a1fcc46a78a95b78270d290d05a8c"],"state_sha256":"ee9fe23009d62d6e9aee1f1c617a07f18b7a14c90573421b7b87c6e4d22a1958"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kAKbocm+6r7sIdpNsfqkyMDu9BwEo+/A9VUBLnrpyYAN4buzwUc0Ynzm5sOW+Tjnq4JSmwJCw1YRMGgfYP7fAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T12:58:18.891529Z","bundle_sha256":"beac264f05de8dc1ff2daddff87097ac693fe33a107724249b9f2dc1daf017ab"}}