{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:453INXJZ5IZ56F3YCMYB2DA6CT","short_pith_number":"pith:453INXJZ","canonical_record":{"source":{"id":"2411.18159","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T09:11:45Z","cross_cats_sorted":[],"title_canon_sha256":"a060669fadb944c5c97e44f6b8cce6259a3be13a1bc7412c685a295e11e2a96c","abstract_canon_sha256":"b5c9fcfd1fae5de80b3d5d7d3b28b8d2a78004a5f624f620b2de255bb3b7ca4e"},"schema_version":"1.0"},"canonical_sha256":"e77686dd39ea33df177813301d0c1e14f308b8c33bd94b28e128c006be8da35b","source":{"kind":"arxiv","id":"2411.18159","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18159","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18159v2","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18159","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_12","alias_value":"453INXJZ5IZ5","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_16","alias_value":"453INXJZ5IZ56F3Y","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_8","alias_value":"453INXJZ","created_at":"2026-07-05T10:56:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:453INXJZ5IZ56F3YCMYB2DA6CT","target":"record","payload":{"canonical_record":{"source":{"id":"2411.18159","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T09:11:45Z","cross_cats_sorted":[],"title_canon_sha256":"a060669fadb944c5c97e44f6b8cce6259a3be13a1bc7412c685a295e11e2a96c","abstract_canon_sha256":"b5c9fcfd1fae5de80b3d5d7d3b28b8d2a78004a5f624f620b2de255bb3b7ca4e"},"schema_version":"1.0"},"canonical_sha256":"e77686dd39ea33df177813301d0c1e14f308b8c33bd94b28e128c006be8da35b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:56:12.675239Z","signature_b64":"tMYPJoNQCOdQG1FL7IswOkYLXWGJ8BzekR5dMr2Lx9QUKHyswWgB7ouiqp8Ex2pf5ARTaAgirjDnESaxsoa4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e77686dd39ea33df177813301d0c1e14f308b8c33bd94b28e128c006be8da35b","last_reissued_at":"2026-07-05T10:56:12.674702Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:56:12.674702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.18159","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":"2026-07-05T10:56:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8qGeOWOnaJFVUT6DjsDQk6mapNBsaU9FdCoHBNHkjTTTZ1tR5MUttQNRFS3sAD7Dzg04wYoEZn/7dyn9tKzZAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:41:25.608125Z"},"content_sha256":"0c2f0b9f22faa504c2fe1b6a2e006ce91579491df06b115aa5e00a3e22748b09","schema_version":"1.0","event_id":"sha256:0c2f0b9f22faa504c2fe1b6a2e006ce91579491df06b115aa5e00a3e22748b09"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:453INXJZ5IZ56F3YCMYB2DA6CT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Type-R: Automatically Retouching Typos for Text-to-Image Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daichi Haraguchi, Hayato Mitani, Kota Yamaguchi, Naoto Inoue, Seiichi Uchida, Wataru Shimoda","submitted_at":"2024-11-27T09:11:45Z","abstract_excerpt":"While recent text-to-image models can generate photorealistic images from text prompts that reflect detailed instructions, they still face significant challenges in accurately rendering words in the image. In this paper, we propose to retouch erroneous text renderings in the post-processing pipeline. Our approach, called Type-R, identifies typographical errors in the generated image, erases the erroneous text, regenerates text boxes for missing words, and finally corrects typos in the rendered words. Through extensive experiments, we show that Type-R, in combination with the latest text-to-ima"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18159","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.18159/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":"2026-07-05T10:56:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tRT0kTw3lg8+9gfjJB5tmvFAwMH+joR8Vb3+mbdQWdtc0b4IUwzrGFCt5lBXy31b4RGfnshmlAulVHpxdlCZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:41:25.608638Z"},"content_sha256":"07b355490ece3a0bc4424b6afa885fd8559a687cbb2d2def4580698c254e7efa","schema_version":"1.0","event_id":"sha256:07b355490ece3a0bc4424b6afa885fd8559a687cbb2d2def4580698c254e7efa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/453INXJZ5IZ56F3YCMYB2DA6CT/bundle.json","state_url":"https://pith.science/pith/453INXJZ5IZ56F3YCMYB2DA6CT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/453INXJZ5IZ56F3YCMYB2DA6CT/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":"2026-08-04T13:41:25Z","links":{"resolver":"https://pith.science/pith/453INXJZ5IZ56F3YCMYB2DA6CT","bundle":"https://pith.science/pith/453INXJZ5IZ56F3YCMYB2DA6CT/bundle.json","state":"https://pith.science/pith/453INXJZ5IZ56F3YCMYB2DA6CT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/453INXJZ5IZ56F3YCMYB2DA6CT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:453INXJZ5IZ56F3YCMYB2DA6CT","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":"b5c9fcfd1fae5de80b3d5d7d3b28b8d2a78004a5f624f620b2de255bb3b7ca4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T09:11:45Z","title_canon_sha256":"a060669fadb944c5c97e44f6b8cce6259a3be13a1bc7412c685a295e11e2a96c"},"schema_version":"1.0","source":{"id":"2411.18159","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18159","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18159v2","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18159","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_12","alias_value":"453INXJZ5IZ5","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_16","alias_value":"453INXJZ5IZ56F3Y","created_at":"2026-07-05T10:56:12Z"},{"alias_kind":"pith_short_8","alias_value":"453INXJZ","created_at":"2026-07-05T10:56:12Z"}],"graph_snapshots":[{"event_id":"sha256:07b355490ece3a0bc4424b6afa885fd8559a687cbb2d2def4580698c254e7efa","target":"graph","created_at":"2026-07-05T10:56:12Z","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/2411.18159/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While recent text-to-image models can generate photorealistic images from text prompts that reflect detailed instructions, they still face significant challenges in accurately rendering words in the image. In this paper, we propose to retouch erroneous text renderings in the post-processing pipeline. Our approach, called Type-R, identifies typographical errors in the generated image, erases the erroneous text, regenerates text boxes for missing words, and finally corrects typos in the rendered words. Through extensive experiments, we show that Type-R, in combination with the latest text-to-ima","authors_text":"Daichi Haraguchi, Hayato Mitani, Kota Yamaguchi, Naoto Inoue, Seiichi Uchida, Wataru Shimoda","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T09:11:45Z","title":"Type-R: Automatically Retouching Typos for Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18159","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":"sha256:0c2f0b9f22faa504c2fe1b6a2e006ce91579491df06b115aa5e00a3e22748b09","target":"record","created_at":"2026-07-05T10:56:12Z","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":"b5c9fcfd1fae5de80b3d5d7d3b28b8d2a78004a5f624f620b2de255bb3b7ca4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-27T09:11:45Z","title_canon_sha256":"a060669fadb944c5c97e44f6b8cce6259a3be13a1bc7412c685a295e11e2a96c"},"schema_version":"1.0","source":{"id":"2411.18159","kind":"arxiv","version":2}},"canonical_sha256":"e77686dd39ea33df177813301d0c1e14f308b8c33bd94b28e128c006be8da35b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e77686dd39ea33df177813301d0c1e14f308b8c33bd94b28e128c006be8da35b","first_computed_at":"2026-07-05T10:56:12.674702Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:12.674702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tMYPJoNQCOdQG1FL7IswOkYLXWGJ8BzekR5dMr2Lx9QUKHyswWgB7ouiqp8Ex2pf5ARTaAgirjDnESaxsoa4Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:12.675239Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18159","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c2f0b9f22faa504c2fe1b6a2e006ce91579491df06b115aa5e00a3e22748b09","sha256:07b355490ece3a0bc4424b6afa885fd8559a687cbb2d2def4580698c254e7efa"],"state_sha256":"260589aa0f0052b6c65371f182078eed73b59f8fcac1226a9f02de3dc07c8f43"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nNzs/7KHxd3OlxKTFkl773DybsO2g7nT09Y7wVN5s6re8NMVxOgI0K0gKqZQi2FZ2TPdUxBcII15oBDV280vCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T13:41:25.612304Z","bundle_sha256":"5785334f435eadd1131ea836738c03560f1c399c11bc35519f916869fbc5e3e1"}}