{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:V37ULEK4B36I62PLW6HMHHQ27V","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":"90d243bdb406abc3e062049125314351c92e46427baf6ce70301d440e4d0e303","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T13:52:43Z","title_canon_sha256":"81f74e867517ccd2858c5eeef4b5ea72e1f76815ddeeec28bf3d52d9df00034f"},"schema_version":"1.0","source":{"id":"2411.09449","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09449","created_at":"2026-07-05T09:35:27Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09449v1","created_at":"2026-07-05T09:35:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09449","created_at":"2026-07-05T09:35:27Z"},{"alias_kind":"pith_short_12","alias_value":"V37ULEK4B36I","created_at":"2026-07-05T09:35:27Z"},{"alias_kind":"pith_short_16","alias_value":"V37ULEK4B36I62PL","created_at":"2026-07-05T09:35:27Z"},{"alias_kind":"pith_short_8","alias_value":"V37ULEK4","created_at":"2026-07-05T09:35:27Z"}],"graph_snapshots":[{"event_id":"sha256:48307c63a67eb3fe34f90a1e9d935ce9c59784cb450891090bf4ebe2d4d160bb","target":"graph","created_at":"2026-07-05T09:35:27Z","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/2411.09449/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have revitalized the image generation domain, playing crucial roles in both academic research and artistic expression. With the emergence of new diffusion models, assessing the performance of text-to-image models has become increasingly important. Current metrics focus on directly matching the input text with the generated image, but due to cross-modal information asymmetry, this leads to unreliable or incomplete assessment results. Motivated by this, we introduce the Image Regeneration task in this study to assess text-to-image models by tasking the T2I model with generating ","authors_text":"Chi Zhang, Chutian Meng, Fan Ma, Jiaxu Miao, Yi Yang, Yueting Zhuang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T13:52:43Z","title":"Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09449","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":"sha256:7793fc6e1ebd33a8306271f7f4fd1c686d8d330722a42d1d9f72ea854980f26c","target":"record","created_at":"2026-07-05T09:35:27Z","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":"90d243bdb406abc3e062049125314351c92e46427baf6ce70301d440e4d0e303","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-14T13:52:43Z","title_canon_sha256":"81f74e867517ccd2858c5eeef4b5ea72e1f76815ddeeec28bf3d52d9df00034f"},"schema_version":"1.0","source":{"id":"2411.09449","kind":"arxiv","version":1}},"canonical_sha256":"aeff45915c0efc8f69ebb78ec39e1afd6bb111cd08cedde9c7081abd46e917b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aeff45915c0efc8f69ebb78ec39e1afd6bb111cd08cedde9c7081abd46e917b4","first_computed_at":"2026-07-05T09:35:27.068830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:27.068830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ASXL5c07JGfoYPFfeXBGXDt9XNcEyvMpAsFTdxP4JphNOo/vxjzbTK6PSK2fAvHdkIptFr6i4EN9hzku141/AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:27.069372Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09449","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7793fc6e1ebd33a8306271f7f4fd1c686d8d330722a42d1d9f72ea854980f26c","sha256:48307c63a67eb3fe34f90a1e9d935ce9c59784cb450891090bf4ebe2d4d160bb"],"state_sha256":"c44725c272a22e6fed08b4048e9b684314e6938d679ac0554e6b86e25bdd6ce0"}