{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZI2WHM7TSZBDOUZ7OEFHKVU4JA","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":"f8375f959c86296a638fc69b81ed598e1d262cc4f13613032764d504261250ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-07T02:26:21Z","title_canon_sha256":"6c87a950ea45898e822893bb6260d9a3c83bee3d329a522358a2978128d5be45"},"schema_version":"1.0","source":{"id":"1703.02182","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.02182","created_at":"2026-05-18T00:48:59Z"},{"alias_kind":"arxiv_version","alias_value":"1703.02182v2","created_at":"2026-05-18T00:48:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.02182","created_at":"2026-05-18T00:48:59Z"},{"alias_kind":"pith_short_12","alias_value":"ZI2WHM7TSZBD","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZI2WHM7TSZBDOUZ7","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZI2WHM7T","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:901dafcbe59a28391a269be23820a667c5eb2a8c40fe14db4de59c41b9fd36c4","target":"graph","created_at":"2026-05-18T00:48:59Z","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"},"paper":{"abstract_excerpt":"Skin cancer, the most common human malignancy, is primarily diagnosed visually by physicians [1]. Classification with an automated method like CNN [2, 3] shows potential for challenging tasks [1]. By now, the deep convolutional neural networks are on par with human dermatologist [1]. This abstract is dedicated on developing a Deep Learning method for ISIC [5] 2017 Skin Lesion Detection Competition hosted at [6] to classify the dermatology pictures, which is aimed at improving the diagnostic accuracy rate and general level of the human health. The challenge falls into three sub-challenges, incl","authors_text":"Liangcai Gao, Runtao Liu, Wenhao Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-07T02:26:21Z","title":"Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.02182","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:c15e104a7eafb3ff4ec47f8c3cf2e4b8895168c9ba6c1cfec5ac6aeb27e4d995","target":"record","created_at":"2026-05-18T00:48:59Z","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":"f8375f959c86296a638fc69b81ed598e1d262cc4f13613032764d504261250ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-07T02:26:21Z","title_canon_sha256":"6c87a950ea45898e822893bb6260d9a3c83bee3d329a522358a2978128d5be45"},"schema_version":"1.0","source":{"id":"1703.02182","kind":"arxiv","version":2}},"canonical_sha256":"ca3563b3f3964237533f710a75569c48124ac5e9ce743a2e0fa186c6f86046f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca3563b3f3964237533f710a75569c48124ac5e9ce743a2e0fa186c6f86046f5","first_computed_at":"2026-05-18T00:48:59.215067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:59.215067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5HEnuvWg9SHZfMoQk/hSHqFV4qXxyrTUU+J7JMmDVbYogpOTjdgYkKjMblpsfErDdSOnTNlTi7tBfie5AaciBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:59.215692Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.02182","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c15e104a7eafb3ff4ec47f8c3cf2e4b8895168c9ba6c1cfec5ac6aeb27e4d995","sha256:901dafcbe59a28391a269be23820a667c5eb2a8c40fe14db4de59c41b9fd36c4"],"state_sha256":"1513a3693328e99947d9a46475fa9f26c7850fa32b5bae702b0f40f698469950"}