{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JODX3CIO4ZN272WV6TQRRF3DTM","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":"6d5f5481b19f66de0fb217b9875e0be28bb75ab8d27c22c7e499d408e1927b63","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-13T14:48:07Z","title_canon_sha256":"1bb58f7f493d73984f9424c586dcb145337d6b7933fb757b8c563b6e4df7f586"},"schema_version":"1.0","source":{"id":"2511.10367","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.10367","created_at":"2026-06-02T03:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2511.10367v2","created_at":"2026-06-02T03:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.10367","created_at":"2026-06-02T03:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"JODX3CIO4ZN2","created_at":"2026-06-02T03:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"JODX3CIO4ZN272WV","created_at":"2026-06-02T03:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"JODX3CIO","created_at":"2026-06-02T03:04:35Z"}],"graph_snapshots":[{"event_id":"sha256:88dab0d057540913676dc908fc7c044e9cd98bac2fdbf7a4fb8bd4ffcfbb8830","target":"graph","created_at":"2026-06-02T03:04:35Z","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/2511.10367/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI-based dermatology adoption remains limited by biased datasets, variable image quality, and limited validation. We introduce DermAI, a lightweight, smartphone-based application that enables real-time capture, annotation, and classification of skin lesions during routine consultations. Unlike prior dermoscopy-focused tools, DermAI performs on-device quality checks, and local model adaptation. The DermAI clinical dataset, encompasses a wide range of skin tones, ethinicity and source devices. In preliminary experiments, models trained on public datasets failed to generalize to our samples, whil","authors_text":"Emanoel Thyago, \\'Erico Medeiros, F\\'abio Papais, Francisco Mauro, J\\'essica Guido, Kelvin Cunha, Nat\\'alia Lopes, Paulo Borba, Rodrigo Abreu, Shirley Cruz, Thales Bezerra, Tsang Ing Ren","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-13T14:48:07Z","title":"DermAI: Clinical dermatology acquisition through quality-driven image collection for AI classification in mobile"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.10367","kind":"arxiv","version":2},"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:ca57bc0427bdc1e6a6257d47bcb353808dd09b23d7fe16c4818bfff49b5d0fdf","target":"record","created_at":"2026-06-02T03:04:35Z","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":"6d5f5481b19f66de0fb217b9875e0be28bb75ab8d27c22c7e499d408e1927b63","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-13T14:48:07Z","title_canon_sha256":"1bb58f7f493d73984f9424c586dcb145337d6b7933fb757b8c563b6e4df7f586"},"schema_version":"1.0","source":{"id":"2511.10367","kind":"arxiv","version":2}},"canonical_sha256":"4b877d890ee65bafead5f4e11897639b0f30fd00b4bd0a58cc8014a684e89fdc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b877d890ee65bafead5f4e11897639b0f30fd00b4bd0a58cc8014a684e89fdc","first_computed_at":"2026-06-02T03:04:35.634405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T03:04:35.634405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vWelXcj49kHfjTmZ4TweK79qwZosgAWFwOpeFFqv3aU/pvanKvCRIBmLdQ4TbagLj4fbPmH/3VIHWI90A12gCA==","signature_status":"signed_v1","signed_at":"2026-06-02T03:04:35.634889Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.10367","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca57bc0427bdc1e6a6257d47bcb353808dd09b23d7fe16c4818bfff49b5d0fdf","sha256:88dab0d057540913676dc908fc7c044e9cd98bac2fdbf7a4fb8bd4ffcfbb8830"],"state_sha256":"1e010bea8d5407ee5f7206dbca85d02a94e48e0c402802989029b283f029bc09"}