{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:T4F3EJPDOPOVU3UROCUH36U4PO","short_pith_number":"pith:T4F3EJPD","canonical_record":{"source":{"id":"2505.16314","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T07:12:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ad01a50e5267a521d4d3ab06d1a826d7e2f64b35f36369cfabc4f4d8a908aaf6","abstract_canon_sha256":"63593a7e23f9e1aa1e3f25825900512b7af9ae82d049d0a8eeb9f9c434275852"},"schema_version":"1.0"},"canonical_sha256":"9f0bb225e373dd5a6e9170a87dfa9c7ba11c320a19bf3e31f964134f018e4151","source":{"kind":"arxiv","id":"2505.16314","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16314","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16314v1","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16314","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"T4F3EJPDOPOV","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"T4F3EJPDOPOVU3UR","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"T4F3EJPD","created_at":"2026-07-05T11:07:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:T4F3EJPDOPOVU3UROCUH36U4PO","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16314","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T07:12:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ad01a50e5267a521d4d3ab06d1a826d7e2f64b35f36369cfabc4f4d8a908aaf6","abstract_canon_sha256":"63593a7e23f9e1aa1e3f25825900512b7af9ae82d049d0a8eeb9f9c434275852"},"schema_version":"1.0"},"canonical_sha256":"9f0bb225e373dd5a6e9170a87dfa9c7ba11c320a19bf3e31f964134f018e4151","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:33.732824Z","signature_b64":"dvztd9cFJLVSmfs1LH/18sqLhYo/SAjkZFvV6hzAw4fTG7x2g83MyHAU7ZhnzxSO2pvpQPl8pyaEXZLgCFhZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f0bb225e373dd5a6e9170a87dfa9c7ba11c320a19bf3e31f964134f018e4151","last_reissued_at":"2026-07-05T11:07:33.732334Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:33.732334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16314","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":"2026-07-05T11:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mSIL4ksw54iBS5/+AM0yYcEoPdQcvfgUvzPNp4wu0zEMz8q0xNHdkDgeOkAtKK3wtKChk6wX+cXspSBDi+VeBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:11:31.876794Z"},"content_sha256":"63cdce39496f7c6456bed52edff2326cbc8685cfc686cb8aba01e2bc449555d8","schema_version":"1.0","event_id":"sha256:63cdce39496f7c6456bed52edff2326cbc8685cfc686cb8aba01e2bc449555d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:T4F3EJPDOPOVU3UROCUH36U4PO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bing Li, Bin Sun, Bo-Cheng Qiu, Bo Peng, Bo Yu, Can Li, Chia-Ming Lee, Chih-Chung Hsu, Chong Peng, Chongyi Li, Chuanbiao Song, Chunle Guo, Da Mu, Dehua Liu, Duy-Nam Ly, Fangyuan Kong, Fengbin Guan, Guangji Ma, Guangtao Zhai, Hai-Dang Nguyen, Haofeng Chen, Haotian Fan, Heng Cong, Hesong Li, Hongwei Xu, Huamei Sun, Huan Hou, Huiyu Duan, Jian Guo, Jianhui Sun, Jianqi Bi, Jiarong He, Jiarui Wang, Jing Dong, Jing Fu, Jingwei Sun, Juan Wang, Junda Lu, Junfeng Yang, Junhui Cui, Junkang Fang, Jun Lan, Jun Luo, Kele Xu, Liang Li, Lingzhi Fu, Liu Yang, Lulin Tang, Lu Liu, Mingrui Long, Mingxiu Chen, Minhao Lin, Minh-Hoang Le, Minh-Khoa Le-Phan, Minh-Triet Tran, Puhong Duan, Qiang Hu, Qingsong Xie, Qisheng Xu, Radu Timofte, Rongyu Zhang, Ruichen Wang, Shuai He, Shuhao Han, Shutao Li, Siyuan Li, Tao Li, Tianjiao Wan, Tianyi Wang, Trong-Hieu Nguyen-Mau, Wang Liu, Weikang Yu, Wei Luo, Weiming Hu, Wei Sun, Wending Zhao, Wenjie Liao, Xiaohong Liu, Xin Li, Xinli Yue, Xinyang Huang, Xinyue Li, Xiongkuo Min, Xuanxuan He, Xudong Kang, Xuecheng Wu, Xuezhi Cao, Xuhui Zheng, Yang Tai, Yan Hong, Yiting Lu, Yongqing Huang, Yu-Fan Lin, Yukang Lin, Yunhao Li, Yunqiu Wang, Yuqi Liang, Zehao Wang, Zeming Liu, Zewen Chen, Zhenchen Tang, Zhe Pang, Zhichao Zhang, Zhihao Li, Zhishan Qiao, Zhiyu Wang, Zhizhuo Shao, Zicheng Zhang, Zichuan Wang, Zihao Yu, Zijian Gao, Zijian Zhang, Zitang Zhou, Zitong Xu, Ziyu Feng","submitted_at":"2025-05-22T07:12:36Z","abstract_excerpt":"This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2025. The aim of this challenge is to address the fine-grained quality assessment of text-to-image generation models. This challenge evaluates text-to-image models from two aspects: image-text alignment and image structural distortion detection, and is divided into the alignment track and the structural track. The alignment track uses the EvalMuse-40K, which contains around "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16314","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/2505.16314/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":"2026-07-05T11:07:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aCrNTNGPGPzBHMkzUBgx5pP5g54QXLWEglE63I4OsrsxdoCdB2b73RMVC18Ykw7L3fYBxac5yHBN3O2/6vdECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:11:31.877339Z"},"content_sha256":"35daf4fca87b65c07187b38f1c6c6e949977233eec9de9ede190a04d7bfdbae4","schema_version":"1.0","event_id":"sha256:35daf4fca87b65c07187b38f1c6c6e949977233eec9de9ede190a04d7bfdbae4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T4F3EJPDOPOVU3UROCUH36U4PO/bundle.json","state_url":"https://pith.science/pith/T4F3EJPDOPOVU3UROCUH36U4PO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T4F3EJPDOPOVU3UROCUH36U4PO/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":"2026-08-07T14:11:31Z","links":{"resolver":"https://pith.science/pith/T4F3EJPDOPOVU3UROCUH36U4PO","bundle":"https://pith.science/pith/T4F3EJPDOPOVU3UROCUH36U4PO/bundle.json","state":"https://pith.science/pith/T4F3EJPDOPOVU3UROCUH36U4PO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T4F3EJPDOPOVU3UROCUH36U4PO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T4F3EJPDOPOVU3UROCUH36U4PO","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":"63593a7e23f9e1aa1e3f25825900512b7af9ae82d049d0a8eeb9f9c434275852","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T07:12:36Z","title_canon_sha256":"ad01a50e5267a521d4d3ab06d1a826d7e2f64b35f36369cfabc4f4d8a908aaf6"},"schema_version":"1.0","source":{"id":"2505.16314","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16314","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16314v1","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16314","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_12","alias_value":"T4F3EJPDOPOV","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_16","alias_value":"T4F3EJPDOPOVU3UR","created_at":"2026-07-05T11:07:33Z"},{"alias_kind":"pith_short_8","alias_value":"T4F3EJPD","created_at":"2026-07-05T11:07:33Z"}],"graph_snapshots":[{"event_id":"sha256:35daf4fca87b65c07187b38f1c6c6e949977233eec9de9ede190a04d7bfdbae4","target":"graph","created_at":"2026-07-05T11:07:33Z","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/2505.16314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2025. The aim of this challenge is to address the fine-grained quality assessment of text-to-image generation models. This challenge evaluates text-to-image models from two aspects: image-text alignment and image structural distortion detection, and is divided into the alignment track and the structural track. The alignment track uses the EvalMuse-40K, which contains around ","authors_text":"Bing Li, Bin Sun, Bo-Cheng Qiu, Bo Peng, Bo Yu, Can Li, Chia-Ming Lee, Chih-Chung Hsu, Chong Peng, Chongyi Li, Chuanbiao Song, Chunle Guo, Da Mu, Dehua Liu, Duy-Nam Ly, Fangyuan Kong, Fengbin Guan, Guangji Ma, Guangtao Zhai, Hai-Dang Nguyen, Haofeng Chen, Haotian Fan, Heng Cong, Hesong Li, Hongwei Xu, Huamei Sun, Huan Hou, Huiyu Duan, Jian Guo, Jianhui Sun, Jianqi Bi, Jiarong He, Jiarui Wang, Jing Dong, Jing Fu, Jingwei Sun, Juan Wang, Junda Lu, Junfeng Yang, Junhui Cui, Junkang Fang, Jun Lan, Jun Luo, Kele Xu, Liang Li, Lingzhi Fu, Liu Yang, Lulin Tang, Lu Liu, Mingrui Long, Mingxiu Chen, Minhao Lin, Minh-Hoang Le, Minh-Khoa Le-Phan, Minh-Triet Tran, Puhong Duan, Qiang Hu, Qingsong Xie, Qisheng Xu, Radu Timofte, Rongyu Zhang, Ruichen Wang, Shuai He, Shuhao Han, Shutao Li, Siyuan Li, Tao Li, Tianjiao Wan, Tianyi Wang, Trong-Hieu Nguyen-Mau, Wang Liu, Weikang Yu, Wei Luo, Weiming Hu, Wei Sun, Wending Zhao, Wenjie Liao, Xiaohong Liu, Xin Li, Xinli Yue, Xinyang Huang, Xinyue Li, Xiongkuo Min, Xuanxuan He, Xudong Kang, Xuecheng Wu, Xuezhi Cao, Xuhui Zheng, Yang Tai, Yan Hong, Yiting Lu, Yongqing Huang, Yu-Fan Lin, Yukang Lin, Yunhao Li, Yunqiu Wang, Yuqi Liang, Zehao Wang, Zeming Liu, Zewen Chen, Zhenchen Tang, Zhe Pang, Zhichao Zhang, Zhihao Li, Zhishan Qiao, Zhiyu Wang, Zhizhuo Shao, Zicheng Zhang, Zichuan Wang, Zihao Yu, Zijian Gao, Zijian Zhang, Zitang Zhou, Zitong Xu, Ziyu Feng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T07:12:36Z","title":"NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16314","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":"sha256:63cdce39496f7c6456bed52edff2326cbc8685cfc686cb8aba01e2bc449555d8","target":"record","created_at":"2026-07-05T11:07:33Z","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":"63593a7e23f9e1aa1e3f25825900512b7af9ae82d049d0a8eeb9f9c434275852","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-22T07:12:36Z","title_canon_sha256":"ad01a50e5267a521d4d3ab06d1a826d7e2f64b35f36369cfabc4f4d8a908aaf6"},"schema_version":"1.0","source":{"id":"2505.16314","kind":"arxiv","version":1}},"canonical_sha256":"9f0bb225e373dd5a6e9170a87dfa9c7ba11c320a19bf3e31f964134f018e4151","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f0bb225e373dd5a6e9170a87dfa9c7ba11c320a19bf3e31f964134f018e4151","first_computed_at":"2026-07-05T11:07:33.732334Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:33.732334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dvztd9cFJLVSmfs1LH/18sqLhYo/SAjkZFvV6hzAw4fTG7x2g83MyHAU7ZhnzxSO2pvpQPl8pyaEXZLgCFhZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:33.732824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16314","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63cdce39496f7c6456bed52edff2326cbc8685cfc686cb8aba01e2bc449555d8","sha256:35daf4fca87b65c07187b38f1c6c6e949977233eec9de9ede190a04d7bfdbae4"],"state_sha256":"74a7e6c63474a74daff23ec036a09bfa4017d0c6475028efb3a98d26ecd30b4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5eTZXY3WZ5UXeOTrclJNAL1jePkML8McMcd9pXqITVoUTxFR3pWkE0oWnzsZm0pgFcYeP1hU0zuLUtpQffESBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T14:11:31.881337Z","bundle_sha256":"68a36f0551e79895bfd085dbc66370dcf19cd4f1de3b48eb020dde36ab92d2d4"}}