{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WS75NQC6BA4BV6IOLN5SL45CC5","short_pith_number":"pith:WS75NQC6","canonical_record":{"source":{"id":"2509.10260","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T14:03:00Z","cross_cats_sorted":[],"title_canon_sha256":"842789f72a5d3e2b235667a082c498b1a65562e7e550340639253944bb9fdaf3","abstract_canon_sha256":"14697f555539c5d0f76254bad6e5c8288ebee34ec97779dcc87bcbd8343132b2"},"schema_version":"1.0"},"canonical_sha256":"b4bfd6c05e08381af90e5b7b25f3a21756f0c5227d532aed0f835c79926f41f6","source":{"kind":"arxiv","id":"2509.10260","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10260","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10260v1","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10260","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"WS75NQC6BA4B","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"WS75NQC6BA4BV6IO","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"WS75NQC6","created_at":"2026-07-05T12:11:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WS75NQC6BA4BV6IOLN5SL45CC5","target":"record","payload":{"canonical_record":{"source":{"id":"2509.10260","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T14:03:00Z","cross_cats_sorted":[],"title_canon_sha256":"842789f72a5d3e2b235667a082c498b1a65562e7e550340639253944bb9fdaf3","abstract_canon_sha256":"14697f555539c5d0f76254bad6e5c8288ebee34ec97779dcc87bcbd8343132b2"},"schema_version":"1.0"},"canonical_sha256":"b4bfd6c05e08381af90e5b7b25f3a21756f0c5227d532aed0f835c79926f41f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:05.898448Z","signature_b64":"oaGIbUu2ZVPd65UozKaLX8WHqo636itq+Meim/s3VfdUf6snOyUGuWx7Ly0drUTmBuIfdjo/p9QzJNeXOOCPAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b4bfd6c05e08381af90e5b7b25f3a21756f0c5227d532aed0f835c79926f41f6","last_reissued_at":"2026-07-05T12:11:05.897921Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:05.897921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.10260","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":"2026-07-05T12:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UlaR67K7EHMHuDWSNgn+Duz7dTnzPrPBQGYOe1zNmsYlfCwDhkAxlo7TyIJ1oenYOF6iNAt/hT11N5x8OkK3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T14:44:37.822924Z"},"content_sha256":"ed51882a76079084677a786694a7c60331ad4ce9d03a28974631f5c291b0fdea","schema_version":"1.0","event_id":"sha256:ed51882a76079084677a786694a7c60331ad4ce9d03a28974631f5c291b0fdea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WS75NQC6BA4BV6IOLN5SL45CC5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanghang Ma, Jia Wang, Jie Hu, Xiaoming Wei, Xiaoqi Ma, Yanbing Zeng","submitted_at":"2025-09-12T14:03:00Z","abstract_excerpt":"Text-to-image (T2I) generation has achieved remarkable progress in instruction following and aesthetics. However, a persistent challenge is the prevalence of physical artifacts, such as anatomical and structural flaws, which severely degrade perceptual quality and limit application. Given the diversity and complexity of these artifacts, a systematic and fine-grained evaluation framework is required, which is lacking in current benchmarks. To fill this gap, we introduce MagicMirror, a comprehensive framework for artifacts assessment. We first establish a detailed taxonomy of generated image art"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10260","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/2509.10260/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":"2026-07-05T12:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C+LgPPA75be+Co9eZY/x6rFZBj3+L7PHFV1yveoOXKHZr5+5tWctkjo6vIJu5ae/wlSnYT/1VGwxH4iROKXqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T14:44:37.823418Z"},"content_sha256":"c84d1773e47a724566ee6356cce89e2ba90af40b1b45aaf0288a21ea036b28c2","schema_version":"1.0","event_id":"sha256:c84d1773e47a724566ee6356cce89e2ba90af40b1b45aaf0288a21ea036b28c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WS75NQC6BA4BV6IOLN5SL45CC5/bundle.json","state_url":"https://pith.science/pith/WS75NQC6BA4BV6IOLN5SL45CC5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WS75NQC6BA4BV6IOLN5SL45CC5/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":"2026-08-02T14:44:37Z","links":{"resolver":"https://pith.science/pith/WS75NQC6BA4BV6IOLN5SL45CC5","bundle":"https://pith.science/pith/WS75NQC6BA4BV6IOLN5SL45CC5/bundle.json","state":"https://pith.science/pith/WS75NQC6BA4BV6IOLN5SL45CC5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WS75NQC6BA4BV6IOLN5SL45CC5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WS75NQC6BA4BV6IOLN5SL45CC5","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":"14697f555539c5d0f76254bad6e5c8288ebee34ec97779dcc87bcbd8343132b2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T14:03:00Z","title_canon_sha256":"842789f72a5d3e2b235667a082c498b1a65562e7e550340639253944bb9fdaf3"},"schema_version":"1.0","source":{"id":"2509.10260","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10260","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10260v1","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10260","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"WS75NQC6BA4B","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"WS75NQC6BA4BV6IO","created_at":"2026-07-05T12:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"WS75NQC6","created_at":"2026-07-05T12:11:05Z"}],"graph_snapshots":[{"event_id":"sha256:c84d1773e47a724566ee6356cce89e2ba90af40b1b45aaf0288a21ea036b28c2","target":"graph","created_at":"2026-07-05T12:11:05Z","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/2509.10260/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image (T2I) generation has achieved remarkable progress in instruction following and aesthetics. However, a persistent challenge is the prevalence of physical artifacts, such as anatomical and structural flaws, which severely degrade perceptual quality and limit application. Given the diversity and complexity of these artifacts, a systematic and fine-grained evaluation framework is required, which is lacking in current benchmarks. To fill this gap, we introduce MagicMirror, a comprehensive framework for artifacts assessment. We first establish a detailed taxonomy of generated image art","authors_text":"Hanghang Ma, Jia Wang, Jie Hu, Xiaoming Wei, Xiaoqi Ma, Yanbing Zeng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T14:03:00Z","title":"MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10260","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:ed51882a76079084677a786694a7c60331ad4ce9d03a28974631f5c291b0fdea","target":"record","created_at":"2026-07-05T12:11:05Z","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":"14697f555539c5d0f76254bad6e5c8288ebee34ec97779dcc87bcbd8343132b2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T14:03:00Z","title_canon_sha256":"842789f72a5d3e2b235667a082c498b1a65562e7e550340639253944bb9fdaf3"},"schema_version":"1.0","source":{"id":"2509.10260","kind":"arxiv","version":1}},"canonical_sha256":"b4bfd6c05e08381af90e5b7b25f3a21756f0c5227d532aed0f835c79926f41f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4bfd6c05e08381af90e5b7b25f3a21756f0c5227d532aed0f835c79926f41f6","first_computed_at":"2026-07-05T12:11:05.897921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:05.897921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oaGIbUu2ZVPd65UozKaLX8WHqo636itq+Meim/s3VfdUf6snOyUGuWx7Ly0drUTmBuIfdjo/p9QzJNeXOOCPAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:05.898448Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10260","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed51882a76079084677a786694a7c60331ad4ce9d03a28974631f5c291b0fdea","sha256:c84d1773e47a724566ee6356cce89e2ba90af40b1b45aaf0288a21ea036b28c2"],"state_sha256":"e61666e15d06914e09ecc16ca6f94a95758cf861c94bfc3dadd8a719596eb3f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JBhqCqhS45lpfMfOqhGpL4OXg4uJ8MUnfu682D3wyvnBkFk9xsP8FNmnb/DH/nwOA4D4eNmtuty91G3FjkTNAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T14:44:37.827427Z","bundle_sha256":"16f7cb9790affc055e8b4981a269023952ceaaa0a85d662e34d0043b66d379e7"}}