{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:NKMT4MAUUCRE243F7VQZXBDD2R","short_pith_number":"pith:NKMT4MAU","schema_version":"1.0","canonical_sha256":"6a993e3014a0a24d7365fd619b8463d4626ad8ab8adab76cd4b6dcd6e94f85f8","source":{"kind":"arxiv","id":"2409.17524","version":2},"attestation_state":"computed","paper":{"title":"JoyType: A Robust Design for Multilingual Visual Text Creation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Li, Chen Jiang, Guoxin Wang, Jun Zhao, Xiaolong Liu","submitted_at":"2024-09-26T04:23:17Z","abstract_excerpt":"Generating images with accurately represented text, especially in non-Latin languages, poses a significant challenge for diffusion models. Existing approaches, such as the integration of hint condition diagrams via auxiliary networks (e.g., ControlNet), have made strides towards addressing this issue. However, diffusion models often fall short in tasks requiring controlled text generation, such as specifying particular fonts or producing text in small fonts. In this paper, we introduce a novel approach for multilingual visual text creation, named JoyType, designed to maintain the font style of"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2409.17524","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-26T04:23:17Z","cross_cats_sorted":[],"title_canon_sha256":"c0b5a54e754eeeda722bf6c8ec81ae2dd0479ea20fd268c36b8f2de72207777a","abstract_canon_sha256":"519ad22602f0775dfda9d8693ac4fd8931c14ca638a4d3f2800a3b64cb251cbc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:35.887848Z","signature_b64":"+xuoxXYzgr+o5C6VLqtzGjw+Fn//5RPGFalrzaOHYtxKGVTYQYpd6x1mroiO0fXBViMUZbj3jxd1hHMkAvpdDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a993e3014a0a24d7365fd619b8463d4626ad8ab8adab76cd4b6dcd6e94f85f8","last_reissued_at":"2026-07-05T10:40:35.887458Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:35.887458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"JoyType: A Robust Design for Multilingual Visual Text Creation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Li, Chen Jiang, Guoxin Wang, Jun Zhao, Xiaolong Liu","submitted_at":"2024-09-26T04:23:17Z","abstract_excerpt":"Generating images with accurately represented text, especially in non-Latin languages, poses a significant challenge for diffusion models. Existing approaches, such as the integration of hint condition diagrams via auxiliary networks (e.g., ControlNet), have made strides towards addressing this issue. However, diffusion models often fall short in tasks requiring controlled text generation, such as specifying particular fonts or producing text in small fonts. In this paper, we introduce a novel approach for multilingual visual text creation, named JoyType, designed to maintain the font style of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17524","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/2409.17524/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2409.17524","created_at":"2026-07-05T10:40:35.887518+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.17524v2","created_at":"2026-07-05T10:40:35.887518+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17524","created_at":"2026-07-05T10:40:35.887518+00:00"},{"alias_kind":"pith_short_12","alias_value":"NKMT4MAUUCRE","created_at":"2026-07-05T10:40:35.887518+00:00"},{"alias_kind":"pith_short_16","alias_value":"NKMT4MAUUCRE243F","created_at":"2026-07-05T10:40:35.887518+00:00"},{"alias_kind":"pith_short_8","alias_value":"NKMT4MAU","created_at":"2026-07-05T10:40:35.887518+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2411.18159","citing_title":"Type-R: Automatically Retouching Typos for Text-to-Image Generation","ref_index":18,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R","json":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R.json","graph_json":"https://pith.science/api/pith-number/NKMT4MAUUCRE243F7VQZXBDD2R/graph.json","events_json":"https://pith.science/api/pith-number/NKMT4MAUUCRE243F7VQZXBDD2R/events.json","paper":"https://pith.science/paper/NKMT4MAU"},"agent_actions":{"view_html":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R","download_json":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R.json","view_paper":"https://pith.science/paper/NKMT4MAU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.17524&json=true","fetch_graph":"https://pith.science/api/pith-number/NKMT4MAUUCRE243F7VQZXBDD2R/graph.json","fetch_events":"https://pith.science/api/pith-number/NKMT4MAUUCRE243F7VQZXBDD2R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R/action/storage_attestation","attest_author":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R/action/author_attestation","sign_citation":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R/action/citation_signature","submit_replication":"https://pith.science/pith/NKMT4MAUUCRE243F7VQZXBDD2R/action/replication_record"}},"created_at":"2026-07-05T10:40:35.887518+00:00","updated_at":"2026-07-05T10:40:35.887518+00:00"}