{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:R2HB7AVE6UJEJQMDCVQU424KF7","short_pith_number":"pith:R2HB7AVE","canonical_record":{"source":{"id":"2312.08962","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:10:02Z","cross_cats_sorted":[],"title_canon_sha256":"46daed280d03cc254b042e8b1e32020d08cacccd929e22b37f110ca866e74d04","abstract_canon_sha256":"6c58ee1129a035011494c47c477fe16231e2992229f36bec08e917988a1a3da1"},"schema_version":"1.0"},"canonical_sha256":"8e8e1f82a4f51244c18315614e6b8a2fca1748633127670d9e3c44b64b6971d5","source":{"kind":"arxiv","id":"2312.08962","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08962","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08962v3","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08962","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"R2HB7AVE6UJE","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"R2HB7AVE6UJEJQMD","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"R2HB7AVE","created_at":"2026-07-05T08:43:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:R2HB7AVE6UJEJQMDCVQU424KF7","target":"record","payload":{"canonical_record":{"source":{"id":"2312.08962","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:10:02Z","cross_cats_sorted":[],"title_canon_sha256":"46daed280d03cc254b042e8b1e32020d08cacccd929e22b37f110ca866e74d04","abstract_canon_sha256":"6c58ee1129a035011494c47c477fe16231e2992229f36bec08e917988a1a3da1"},"schema_version":"1.0"},"canonical_sha256":"8e8e1f82a4f51244c18315614e6b8a2fca1748633127670d9e3c44b64b6971d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:43:24.839619Z","signature_b64":"QPN2Etmx2W0lYToJct0lJzrQYjWoaN4TPB0NkLNLLPRjOps8QR2se2YVUTCQoeDkdxyM4lha/QVcVKKqFTI4CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e8e1f82a4f51244c18315614e6b8a2fca1748633127670d9e3c44b64b6971d5","last_reissued_at":"2026-07-05T08:43:24.839151Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:43:24.839151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.08962","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jkm0NRPA9/TFw8/o3QBlQjtB42wuh1WiqjVUFLZIGW13dqGH1+CGXG88zuj+q/6t/9W1crprpGgwhVPq1+zbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:17:30.114430Z"},"content_sha256":"1dd3b4dddc731f423aaa22384bfbc77503b4a7e7f0641771fc092e53febc6d1c","schema_version":"1.0","event_id":"sha256:1dd3b4dddc731f423aaa22384bfbc77503b4a7e7f0641771fc092e53febc6d1c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:R2HB7AVE6UJEJQMDCVQU424KF7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Dong, Jinjin Gu, Tianfan Xue, Zhenfei Yin, Zheyuan Li, Zhiyuan You","submitted_at":"2023-12-14T14:10:02Z","abstract_excerpt":"We introduce a Depicted image Quality Assessment method (DepictQA), overcoming the constraints of traditional score-based methods. DepictQA allows for detailed, language-based, human-like evaluation of image quality by leveraging Multi-modal Large Language Models (MLLMs). Unlike conventional Image Quality Assessment (IQA) methods relying on scores, DepictQA interprets image content and distortions descriptively and comparatively, aligning closely with humans' reasoning process. To build the DepictQA model, we establish a hierarchical task framework, and collect a multi-modal IQA training datas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08962","kind":"arxiv","version":3},"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/2312.08962/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":"2026-07-05T08:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"scKQVceHSgbyS6DYIryy/3hAPe8SJi3upXNTMQcCN6pSBcbTLvd9yjqdDpDWHzIValZZUQ49veGoNu9ET6fuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:17:30.114995Z"},"content_sha256":"223f3899f825a9182bfd78cf8fe6931b70ec3a6e529b1a15ee5b85bb32001f1f","schema_version":"1.0","event_id":"sha256:223f3899f825a9182bfd78cf8fe6931b70ec3a6e529b1a15ee5b85bb32001f1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R2HB7AVE6UJEJQMDCVQU424KF7/bundle.json","state_url":"https://pith.science/pith/R2HB7AVE6UJEJQMDCVQU424KF7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R2HB7AVE6UJEJQMDCVQU424KF7/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":"2026-08-16T04:17:30Z","links":{"resolver":"https://pith.science/pith/R2HB7AVE6UJEJQMDCVQU424KF7","bundle":"https://pith.science/pith/R2HB7AVE6UJEJQMDCVQU424KF7/bundle.json","state":"https://pith.science/pith/R2HB7AVE6UJEJQMDCVQU424KF7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R2HB7AVE6UJEJQMDCVQU424KF7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:R2HB7AVE6UJEJQMDCVQU424KF7","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":"6c58ee1129a035011494c47c477fe16231e2992229f36bec08e917988a1a3da1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:10:02Z","title_canon_sha256":"46daed280d03cc254b042e8b1e32020d08cacccd929e22b37f110ca866e74d04"},"schema_version":"1.0","source":{"id":"2312.08962","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08962","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08962v3","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08962","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"R2HB7AVE6UJE","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"R2HB7AVE6UJEJQMD","created_at":"2026-07-05T08:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"R2HB7AVE","created_at":"2026-07-05T08:43:24Z"}],"graph_snapshots":[{"event_id":"sha256:223f3899f825a9182bfd78cf8fe6931b70ec3a6e529b1a15ee5b85bb32001f1f","target":"graph","created_at":"2026-07-05T08:43:24Z","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/2312.08962/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a Depicted image Quality Assessment method (DepictQA), overcoming the constraints of traditional score-based methods. DepictQA allows for detailed, language-based, human-like evaluation of image quality by leveraging Multi-modal Large Language Models (MLLMs). Unlike conventional Image Quality Assessment (IQA) methods relying on scores, DepictQA interprets image content and distortions descriptively and comparatively, aligning closely with humans' reasoning process. To build the DepictQA model, we establish a hierarchical task framework, and collect a multi-modal IQA training datas","authors_text":"Chao Dong, Jinjin Gu, Tianfan Xue, Zhenfei Yin, Zheyuan Li, Zhiyuan You","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:10:02Z","title":"Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08962","kind":"arxiv","version":3},"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":"sha256:1dd3b4dddc731f423aaa22384bfbc77503b4a7e7f0641771fc092e53febc6d1c","target":"record","created_at":"2026-07-05T08:43:24Z","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":"6c58ee1129a035011494c47c477fe16231e2992229f36bec08e917988a1a3da1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-14T14:10:02Z","title_canon_sha256":"46daed280d03cc254b042e8b1e32020d08cacccd929e22b37f110ca866e74d04"},"schema_version":"1.0","source":{"id":"2312.08962","kind":"arxiv","version":3}},"canonical_sha256":"8e8e1f82a4f51244c18315614e6b8a2fca1748633127670d9e3c44b64b6971d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e8e1f82a4f51244c18315614e6b8a2fca1748633127670d9e3c44b64b6971d5","first_computed_at":"2026-07-05T08:43:24.839151Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:24.839151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QPN2Etmx2W0lYToJct0lJzrQYjWoaN4TPB0NkLNLLPRjOps8QR2se2YVUTCQoeDkdxyM4lha/QVcVKKqFTI4CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:24.839619Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.08962","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dd3b4dddc731f423aaa22384bfbc77503b4a7e7f0641771fc092e53febc6d1c","sha256:223f3899f825a9182bfd78cf8fe6931b70ec3a6e529b1a15ee5b85bb32001f1f"],"state_sha256":"a6278f145f433a133d1993019992260cf859a12e7b8f7141c6b90cd308249039"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wkPUfmtD9KGAbPxezqSkryGzWjBDZ7kwcdUW25D/aKC7XS0gL8zVy0fTQ1FgeseMZWYDX5JF2HBMgKsi5XWTBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T04:17:30.118713Z","bundle_sha256":"1f34c64f36ed73584638879223bb748a672fc8c85349e84b164c3de1ed89131c"}}