{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:6AN4FFASEYX6YEKGDLLRN22QPG","short_pith_number":"pith:6AN4FFAS","canonical_record":{"source":{"id":"1908.05730","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-08-14T02:48:49Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"4f27ec4dbcdf61478641d21f21d809d44f454071d162ffac1caa1cbf75ddde1c","abstract_canon_sha256":"3b196b9ccd04fa459a96ce2f5873d914fe153e9e56af97b3c0af8bb889262916"},"schema_version":"1.0"},"canonical_sha256":"f01bc29412262fec11461ad716eb5079ba3378a4b48d5be83970a298a07cc095","source":{"kind":"arxiv","id":"1908.05730","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05730","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05730v1","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05730","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"6AN4FFASEYX6","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"6AN4FFASEYX6YEKG","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"6AN4FFAS","created_at":"2026-07-04T23:57:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:6AN4FFASEYX6YEKGDLLRN22QPG","target":"record","payload":{"canonical_record":{"source":{"id":"1908.05730","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-08-14T02:48:49Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"4f27ec4dbcdf61478641d21f21d809d44f454071d162ffac1caa1cbf75ddde1c","abstract_canon_sha256":"3b196b9ccd04fa459a96ce2f5873d914fe153e9e56af97b3c0af8bb889262916"},"schema_version":"1.0"},"canonical_sha256":"f01bc29412262fec11461ad716eb5079ba3378a4b48d5be83970a298a07cc095","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:57:52.718980Z","signature_b64":"bF2UiD8ITmdhaEmSEm4B2V/GxZoX8WswzhXe75IRggsWv4gEFdrXY6ahR3KN+Od5UakvobIQl6xx+x5GVbiSCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f01bc29412262fec11461ad716eb5079ba3378a4b48d5be83970a298a07cc095","last_reissued_at":"2026-07-04T23:57:52.718576Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:57:52.718576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.05730","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":"2026-07-04T23:57:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8uyxtKGZyfV6zCUeX+ijMvd07vQfr4+ZUcmGj9hqBZKx75oXOJu+e2SBTX+gxGxGsDOWGNPPxLqov1Txue5VAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T22:26:30.838284Z"},"content_sha256":"f12e5c3b2b2bcf2ce189fdd2b30a31d208e899f7a240102a60003750cc658a8e","schema_version":"1.0","event_id":"sha256:f12e5c3b2b2bcf2ce189fdd2b30a31d208e899f7a240102a60003750cc658a8e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:6AN4FFASEYX6YEKGDLLRN22QPG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","stat.ML"],"primary_cat":"eess.IV","authors_text":"Manawaduge Supun De Silva, Redha Ali, Russell C. Hardie, Temesguen Messay Kebede","submitted_at":"2019-08-14T02:48:49Z","abstract_excerpt":"This short report describes our submission to the ISIC 2018 Challenge in Skin Lesion Analysis Towards Melanoma Detection for Task1 and Task 3. This work has been accomplished by a team of researchers at the University of Dayton Signal and Image Processing Lab. Our proposed approach is computationally efficient are combines information from both deep learning and handcrafted features. For Task3, we form a new type of image features, called hybrid features, which has stronger discrimination ability than single method features. These features are utilized as inputs to a decision-making model that"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05730","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/1908.05730/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":"2026-07-04T23:57:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FV8/eqB7ZLI6cRAjzteDreFJu/WG+B7SbnR8PEjnighJg2NHQF5ANv/yHSHL5LhT5Jdj2rwpPrKqU12cHJkOAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T22:26:30.838948Z"},"content_sha256":"83bd64e1333dd4f596fdea93e74aa8bab5f11b19507d9fd1a94daf3a06e46142","schema_version":"1.0","event_id":"sha256:83bd64e1333dd4f596fdea93e74aa8bab5f11b19507d9fd1a94daf3a06e46142"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6AN4FFASEYX6YEKGDLLRN22QPG/bundle.json","state_url":"https://pith.science/pith/6AN4FFASEYX6YEKGDLLRN22QPG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6AN4FFASEYX6YEKGDLLRN22QPG/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":"2026-08-16T22:26:30Z","links":{"resolver":"https://pith.science/pith/6AN4FFASEYX6YEKGDLLRN22QPG","bundle":"https://pith.science/pith/6AN4FFASEYX6YEKGDLLRN22QPG/bundle.json","state":"https://pith.science/pith/6AN4FFASEYX6YEKGDLLRN22QPG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6AN4FFASEYX6YEKGDLLRN22QPG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:6AN4FFASEYX6YEKGDLLRN22QPG","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":"3b196b9ccd04fa459a96ce2f5873d914fe153e9e56af97b3c0af8bb889262916","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-08-14T02:48:49Z","title_canon_sha256":"4f27ec4dbcdf61478641d21f21d809d44f454071d162ffac1caa1cbf75ddde1c"},"schema_version":"1.0","source":{"id":"1908.05730","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05730","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05730v1","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05730","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"6AN4FFASEYX6","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"6AN4FFASEYX6YEKG","created_at":"2026-07-04T23:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"6AN4FFAS","created_at":"2026-07-04T23:57:52Z"}],"graph_snapshots":[{"event_id":"sha256:83bd64e1333dd4f596fdea93e74aa8bab5f11b19507d9fd1a94daf3a06e46142","target":"graph","created_at":"2026-07-04T23:57:52Z","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/1908.05730/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This short report describes our submission to the ISIC 2018 Challenge in Skin Lesion Analysis Towards Melanoma Detection for Task1 and Task 3. This work has been accomplished by a team of researchers at the University of Dayton Signal and Image Processing Lab. Our proposed approach is computationally efficient are combines information from both deep learning and handcrafted features. For Task3, we form a new type of image features, called hybrid features, which has stronger discrimination ability than single method features. These features are utilized as inputs to a decision-making model that","authors_text":"Manawaduge Supun De Silva, Redha Ali, Russell C. Hardie, Temesguen Messay Kebede","cross_cats":["cs.CV","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-08-14T02:48:49Z","title":"Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05730","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:f12e5c3b2b2bcf2ce189fdd2b30a31d208e899f7a240102a60003750cc658a8e","target":"record","created_at":"2026-07-04T23:57:52Z","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":"3b196b9ccd04fa459a96ce2f5873d914fe153e9e56af97b3c0af8bb889262916","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-08-14T02:48:49Z","title_canon_sha256":"4f27ec4dbcdf61478641d21f21d809d44f454071d162ffac1caa1cbf75ddde1c"},"schema_version":"1.0","source":{"id":"1908.05730","kind":"arxiv","version":1}},"canonical_sha256":"f01bc29412262fec11461ad716eb5079ba3378a4b48d5be83970a298a07cc095","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f01bc29412262fec11461ad716eb5079ba3378a4b48d5be83970a298a07cc095","first_computed_at":"2026-07-04T23:57:52.718576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:57:52.718576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bF2UiD8ITmdhaEmSEm4B2V/GxZoX8WswzhXe75IRggsWv4gEFdrXY6ahR3KN+Od5UakvobIQl6xx+x5GVbiSCQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:57:52.718980Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05730","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f12e5c3b2b2bcf2ce189fdd2b30a31d208e899f7a240102a60003750cc658a8e","sha256:83bd64e1333dd4f596fdea93e74aa8bab5f11b19507d9fd1a94daf3a06e46142"],"state_sha256":"1b96bebbdb480dacbf0c3a249146a8f647850d47ba4d80d9d1be3f49b3879788"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZuDPm/wzhP5ZyH+Q1nu7fR+wbzER1AfK/OdPXVwcTwwqIGsjnU9txHMbrRcFfRlAVWxFyjDEpNwwj7fAzGPZCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T22:26:30.844553Z","bundle_sha256":"6d1cd5492ddadbfbe3b3e8a31a5f86347eb6858ba67c111462f41c3a94545331"}}