{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KCQQQ34GR6OXGU6RNOIDUKD6GW","short_pith_number":"pith:KCQQQ34G","canonical_record":{"source":{"id":"2502.04353","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-04T18:08:23Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"6b46456a5aba279b5456015ce7e3704016914d1593bbbc2426699dcf8aed5c08","abstract_canon_sha256":"cb52c4d2859251831ffddd3ac7d7aa53bbfa40c1e36850c77f2b9e48b80c1d76"},"schema_version":"1.0"},"canonical_sha256":"50a1086f868f9d7353d16b903a287e358e92c9042e48b9f31acd0651ab8c3f57","source":{"kind":"arxiv","id":"2502.04353","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04353","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04353v1","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04353","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"pith_short_12","alias_value":"KCQQQ34GR6OX","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"pith_short_16","alias_value":"KCQQQ34GR6OXGU6R","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"pith_short_8","alias_value":"KCQQQ34G","created_at":"2026-07-05T10:10:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KCQQQ34GR6OXGU6RNOIDUKD6GW","target":"record","payload":{"canonical_record":{"source":{"id":"2502.04353","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-04T18:08:23Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"6b46456a5aba279b5456015ce7e3704016914d1593bbbc2426699dcf8aed5c08","abstract_canon_sha256":"cb52c4d2859251831ffddd3ac7d7aa53bbfa40c1e36850c77f2b9e48b80c1d76"},"schema_version":"1.0"},"canonical_sha256":"50a1086f868f9d7353d16b903a287e358e92c9042e48b9f31acd0651ab8c3f57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:10:50.160089Z","signature_b64":"wSm42z/3iHp6hJQRMyBoNUVlvUQbAFmE2JydIUdpafYteEUQf4OdUqXtdEEUCiPxrn3RGDgjVryfZYtC+hOaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50a1086f868f9d7353d16b903a287e358e92c9042e48b9f31acd0651ab8c3f57","last_reissued_at":"2026-07-05T10:10:50.159633Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:10:50.159633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.04353","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":"2026-07-05T10:10:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a8IZ9JrNILNcXWJjDxDwAOWA8Y20Dt9u5CE8S7DLEB4yuJk6bMQdel32NDjRVyGsZi7Ph/WIAy2s/PNsflC+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:59:11.522684Z"},"content_sha256":"8c80d0902c7aa97916b88543546b0fbcca431813fc6d88dfe2829afc18d4e7e9","schema_version":"1.0","event_id":"sha256:8c80d0902c7aa97916b88543546b0fbcca431813fc6d88dfe2829afc18d4e7e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KCQQQ34GR6OXGU6RNOIDUKD6GW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CL","authors_text":"Afshin Khadangi, Amir Sartipi, Gilbert Fridgen, Igor Tchappi","submitted_at":"2025-02-04T18:08:23Z","abstract_excerpt":"Art, as a universal language, can be interpreted in diverse ways, with artworks embodying profound meanings and nuances. The advent of Large Language Models (LLMs) and the availability of Multimodal Large Language Models (MLLMs) raise the question of how these transformative models can be used to assess and interpret the artistic elements of artworks. While research has been conducted in this domain, to the best of our knowledge, a deep and detailed understanding of the technical and expressive features of artworks using LLMs has not been explored. In this study, we investigate the automation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04353","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/2502.04353/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":"2026-07-05T10:10:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e90txL/bOYfsKZ2MBGjGey3CbZ/jGgXJPBi0xiEvHqiuAO3MqjSQtYHaoWOaEIm5KFPWkydRTOkv/1F2iM2XCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:59:11.523432Z"},"content_sha256":"ddb7cc0cbba7965c15d5ca9714e2edd40e003ca44d660b6edc530eaff07bf051","schema_version":"1.0","event_id":"sha256:ddb7cc0cbba7965c15d5ca9714e2edd40e003ca44d660b6edc530eaff07bf051"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW/bundle.json","state_url":"https://pith.science/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW/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":"2026-08-09T23:59:11Z","links":{"resolver":"https://pith.science/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW","bundle":"https://pith.science/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW/bundle.json","state":"https://pith.science/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KCQQQ34GR6OXGU6RNOIDUKD6GW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KCQQQ34GR6OXGU6RNOIDUKD6GW","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":"cb52c4d2859251831ffddd3ac7d7aa53bbfa40c1e36850c77f2b9e48b80c1d76","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-04T18:08:23Z","title_canon_sha256":"6b46456a5aba279b5456015ce7e3704016914d1593bbbc2426699dcf8aed5c08"},"schema_version":"1.0","source":{"id":"2502.04353","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04353","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04353v1","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04353","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"pith_short_12","alias_value":"KCQQQ34GR6OX","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"pith_short_16","alias_value":"KCQQQ34GR6OXGU6R","created_at":"2026-07-05T10:10:50Z"},{"alias_kind":"pith_short_8","alias_value":"KCQQQ34G","created_at":"2026-07-05T10:10:50Z"}],"graph_snapshots":[{"event_id":"sha256:ddb7cc0cbba7965c15d5ca9714e2edd40e003ca44d660b6edc530eaff07bf051","target":"graph","created_at":"2026-07-05T10:10:50Z","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/2502.04353/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Art, as a universal language, can be interpreted in diverse ways, with artworks embodying profound meanings and nuances. The advent of Large Language Models (LLMs) and the availability of Multimodal Large Language Models (MLLMs) raise the question of how these transformative models can be used to assess and interpret the artistic elements of artworks. While research has been conducted in this domain, to the best of our knowledge, a deep and detailed understanding of the technical and expressive features of artworks using LLMs has not been explored. In this study, we investigate the automation ","authors_text":"Afshin Khadangi, Amir Sartipi, Gilbert Fridgen, Igor Tchappi","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-04T18:08:23Z","title":"CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04353","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":"sha256:8c80d0902c7aa97916b88543546b0fbcca431813fc6d88dfe2829afc18d4e7e9","target":"record","created_at":"2026-07-05T10:10:50Z","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":"cb52c4d2859251831ffddd3ac7d7aa53bbfa40c1e36850c77f2b9e48b80c1d76","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-04T18:08:23Z","title_canon_sha256":"6b46456a5aba279b5456015ce7e3704016914d1593bbbc2426699dcf8aed5c08"},"schema_version":"1.0","source":{"id":"2502.04353","kind":"arxiv","version":1}},"canonical_sha256":"50a1086f868f9d7353d16b903a287e358e92c9042e48b9f31acd0651ab8c3f57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"50a1086f868f9d7353d16b903a287e358e92c9042e48b9f31acd0651ab8c3f57","first_computed_at":"2026-07-05T10:10:50.159633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:50.159633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wSm42z/3iHp6hJQRMyBoNUVlvUQbAFmE2JydIUdpafYteEUQf4OdUqXtdEEUCiPxrn3RGDgjVryfZYtC+hOaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:50.160089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04353","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c80d0902c7aa97916b88543546b0fbcca431813fc6d88dfe2829afc18d4e7e9","sha256:ddb7cc0cbba7965c15d5ca9714e2edd40e003ca44d660b6edc530eaff07bf051"],"state_sha256":"606a51d4615164512bbab66b853df0ff9810d449c72766e2caa99cc6cc39ceca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XBZAz5C3+p4rAaYr9YXBEY9ejShXlKeDE/Ip1qVS4gPSkQfN4ZcecULYBaBv+K2N7F/gUeDxmMHmic2QND9KAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T23:59:11.528988Z","bundle_sha256":"771e7da8f359259f36e0b11bbf07835b0b6962b19cd9fb8e742b0e0f0d2de39d"}}