{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NS47ESOPBSB74SSI3NXG3AWF5N","short_pith_number":"pith:NS47ESOP","canonical_record":{"source":{"id":"2411.16087","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T04:47:53Z","cross_cats_sorted":[],"title_canon_sha256":"a34698af0234f465f00a04fe0abff9e2540847a698f6c72f428971fd790a7d47","abstract_canon_sha256":"2932e50889db71def89f5a36c304541a38baa8180307ebb1463b65a902100bb7"},"schema_version":"1.0"},"canonical_sha256":"6cb9f249cf0c83fe4a48db6e6d82c5eb49f67f35105706c32d0dab58afa349b5","source":{"kind":"arxiv","id":"2411.16087","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16087","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16087v1","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16087","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"NS47ESOPBSB7","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_16","alias_value":"NS47ESOPBSB74SSI","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_8","alias_value":"NS47ESOP","created_at":"2026-07-05T09:40:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NS47ESOPBSB74SSI3NXG3AWF5N","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16087","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T04:47:53Z","cross_cats_sorted":[],"title_canon_sha256":"a34698af0234f465f00a04fe0abff9e2540847a698f6c72f428971fd790a7d47","abstract_canon_sha256":"2932e50889db71def89f5a36c304541a38baa8180307ebb1463b65a902100bb7"},"schema_version":"1.0"},"canonical_sha256":"6cb9f249cf0c83fe4a48db6e6d82c5eb49f67f35105706c32d0dab58afa349b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:03.797306Z","signature_b64":"pTcXiK72ggaeKqJPp3XE9vCn0wyvjUGIJMGcAddiDEwsDxb2jo/WHacOvcBhzYVLPv2BjRBEH5/ISuEP/L4tCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6cb9f249cf0c83fe4a48db6e6d82c5eb49f67f35105706c32d0dab58afa349b5","last_reissued_at":"2026-07-05T09:40:03.796821Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:03.796821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16087","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":"2026-07-05T09:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4MiduGeziiDidQ+ymHzzBFrZf5y+lKLzR6nc29cASPV46TM9x+gW/S85t1BQWImWht7+pvF1XtrJmIZOYlJHBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:32:29.090333Z"},"content_sha256":"8a528cdadd8fc1beb6494e60b17a0e2bdd36e98b0baac67eaf9b3e8669a9a636","schema_version":"1.0","event_id":"sha256:8a528cdadd8fc1beb6494e60b17a0e2bdd36e98b0baac67eaf9b3e8669a9a636"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NS47ESOPBSB74SSI3NXG3AWF5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Gao, Jili Xia, Kaifan Zhang, Leida Li, Lihuo He, Xinbo Gao","submitted_at":"2024-11-25T04:47:53Z","abstract_excerpt":"Recently, AI-generated images (AIGIs) created by given prompts (initial prompts) have garnered widespread attention. Nevertheless, due to technical nonproficiency, they often suffer from poor perception quality and Text-to-Image misalignment. Therefore, assessing the perception quality and alignment quality of AIGIs is crucial to improving the generative model's performance. Existing assessment methods overly rely on the initial prompts in the task prompt design and use the same prompts to guide both perceptual and alignment quality evaluation, overlooking the distinctions between the two task"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16087","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/2411.16087/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":"2026-07-05T09:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jg3f4xvdpmDPB5+fV7boeOmSBF83ayMQiN9q3sYUUexdPrYEfCAbem7PGg43xWCZesLRtu8CeIr6lQEHEXONBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:32:29.090840Z"},"content_sha256":"2feb444f03afc00f53080f273685b4d8fb95ac90529ab8fb291474733320ec59","schema_version":"1.0","event_id":"sha256:2feb444f03afc00f53080f273685b4d8fb95ac90529ab8fb291474733320ec59"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NS47ESOPBSB74SSI3NXG3AWF5N/bundle.json","state_url":"https://pith.science/pith/NS47ESOPBSB74SSI3NXG3AWF5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NS47ESOPBSB74SSI3NXG3AWF5N/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":"2026-08-04T08:32:29Z","links":{"resolver":"https://pith.science/pith/NS47ESOPBSB74SSI3NXG3AWF5N","bundle":"https://pith.science/pith/NS47ESOPBSB74SSI3NXG3AWF5N/bundle.json","state":"https://pith.science/pith/NS47ESOPBSB74SSI3NXG3AWF5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NS47ESOPBSB74SSI3NXG3AWF5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NS47ESOPBSB74SSI3NXG3AWF5N","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":"2932e50889db71def89f5a36c304541a38baa8180307ebb1463b65a902100bb7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T04:47:53Z","title_canon_sha256":"a34698af0234f465f00a04fe0abff9e2540847a698f6c72f428971fd790a7d47"},"schema_version":"1.0","source":{"id":"2411.16087","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16087","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16087v1","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16087","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"NS47ESOPBSB7","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_16","alias_value":"NS47ESOPBSB74SSI","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_8","alias_value":"NS47ESOP","created_at":"2026-07-05T09:40:03Z"}],"graph_snapshots":[{"event_id":"sha256:2feb444f03afc00f53080f273685b4d8fb95ac90529ab8fb291474733320ec59","target":"graph","created_at":"2026-07-05T09:40:03Z","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/2411.16087/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, AI-generated images (AIGIs) created by given prompts (initial prompts) have garnered widespread attention. Nevertheless, due to technical nonproficiency, they often suffer from poor perception quality and Text-to-Image misalignment. Therefore, assessing the perception quality and alignment quality of AIGIs is crucial to improving the generative model's performance. Existing assessment methods overly rely on the initial prompts in the task prompt design and use the same prompts to guide both perceptual and alignment quality evaluation, overlooking the distinctions between the two task","authors_text":"Fei Gao, Jili Xia, Kaifan Zhang, Leida Li, Lihuo He, Xinbo Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T04:47:53Z","title":"AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16087","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":"sha256:8a528cdadd8fc1beb6494e60b17a0e2bdd36e98b0baac67eaf9b3e8669a9a636","target":"record","created_at":"2026-07-05T09:40:03Z","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":"2932e50889db71def89f5a36c304541a38baa8180307ebb1463b65a902100bb7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T04:47:53Z","title_canon_sha256":"a34698af0234f465f00a04fe0abff9e2540847a698f6c72f428971fd790a7d47"},"schema_version":"1.0","source":{"id":"2411.16087","kind":"arxiv","version":1}},"canonical_sha256":"6cb9f249cf0c83fe4a48db6e6d82c5eb49f67f35105706c32d0dab58afa349b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6cb9f249cf0c83fe4a48db6e6d82c5eb49f67f35105706c32d0dab58afa349b5","first_computed_at":"2026-07-05T09:40:03.796821Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:03.796821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pTcXiK72ggaeKqJPp3XE9vCn0wyvjUGIJMGcAddiDEwsDxb2jo/WHacOvcBhzYVLPv2BjRBEH5/ISuEP/L4tCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:03.797306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16087","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a528cdadd8fc1beb6494e60b17a0e2bdd36e98b0baac67eaf9b3e8669a9a636","sha256:2feb444f03afc00f53080f273685b4d8fb95ac90529ab8fb291474733320ec59"],"state_sha256":"2c6f08254c99a29020814c2410a14a213192e8dc5eb637df2e5533c900c8f7ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3e4szg/VaW4XnEqodOyBDoWBJJlV4EdMJdxMsFSyMYBdrTG18LlMNpcLifxLeowWz6DlwIdfrf6GzTGKGfqCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T08:32:29.095944Z","bundle_sha256":"5c49def13819a2e590a6d85b88b52d945a23719bf0b989dad8919481e7cec1c4"}}