{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JYJBCP4L3EAY6HWNVFIVUK3PLX","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":"04040f6b1272919d68445b30f66c4fca15a9d13137abc29ac4ae155336eb9843","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-21T09:02:17Z","title_canon_sha256":"a45ecde0afd14f38f35690857c573bd39c5f63f0896c972c1a31f3cbb2b32919"},"schema_version":"1.0","source":{"id":"2403.14243","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.14243","created_at":"2026-07-05T10:40:00Z"},{"alias_kind":"arxiv_version","alias_value":"2403.14243v1","created_at":"2026-07-05T10:40:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.14243","created_at":"2026-07-05T10:40:00Z"},{"alias_kind":"pith_short_12","alias_value":"JYJBCP4L3EAY","created_at":"2026-07-05T10:40:00Z"},{"alias_kind":"pith_short_16","alias_value":"JYJBCP4L3EAY6HWN","created_at":"2026-07-05T10:40:00Z"},{"alias_kind":"pith_short_8","alias_value":"JYJBCP4L","created_at":"2026-07-05T10:40:00Z"}],"graph_snapshots":[{"event_id":"sha256:145ffe8f229f68ba36fcc333f6085b1c462e0e8efe94706ca74bd2dfc6bfecd4","target":"graph","created_at":"2026-07-05T10:40:00Z","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/2403.14243/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rise of Artificial Intelligence creates great promise in the field of medical discovery, diagnostics and patient management. However, the vast complexity of all medical domains require a more complex approach that combines machine learning algorithms, classifiers, segmentation algorithms and, lately, large language models. In this paper, we describe, implement and assess an Artificial Intelligence-empowered system and methodology aimed at assisting the diagnosis process of skin lesions and other skin conditions within the field of dermatology that aims to holistically address the diagnosti","authors_text":"Dimitrios P. Panagoulias, Evridiki Tsoureli-Nikita, George A. Tsihrintzis, Maria Virvou","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-21T09:02:17Z","title":"Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.14243","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:a8028c93982fe7da88b42046c67f50d498c9d48c3f49bccaee5c30c47fd0efff","target":"record","created_at":"2026-07-05T10:40:00Z","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":"04040f6b1272919d68445b30f66c4fca15a9d13137abc29ac4ae155336eb9843","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-21T09:02:17Z","title_canon_sha256":"a45ecde0afd14f38f35690857c573bd39c5f63f0896c972c1a31f3cbb2b32919"},"schema_version":"1.0","source":{"id":"2403.14243","kind":"arxiv","version":1}},"canonical_sha256":"4e12113f8bd9018f1ecda9515a2b6f5dd43f7ca029b64f58ccfcec6c6ea7b752","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e12113f8bd9018f1ecda9515a2b6f5dd43f7ca029b64f58ccfcec6c6ea7b752","first_computed_at":"2026-07-05T10:40:00.433143Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:40:00.433143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z4PEvc3mXkI+hQMyIDAYF8pme/d20Ydcs4+TZEN/yQLAiYqCFX24desU5Pou7N31IFcUVoiyUZekoaUOYz8oBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:40:00.433609Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.14243","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8028c93982fe7da88b42046c67f50d498c9d48c3f49bccaee5c30c47fd0efff","sha256:145ffe8f229f68ba36fcc333f6085b1c462e0e8efe94706ca74bd2dfc6bfecd4"],"state_sha256":"45382051325292a20c1e0570d9c3f5c5e07951defd5e3498a0777141d9ea5d78"}