{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:3RQMPR7XUAPT55DZW6FAWZALBN","short_pith_number":"pith:3RQMPR7X","canonical_record":{"source":{"id":"1807.09227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T16:45:49Z","cross_cats_sorted":[],"title_canon_sha256":"055517d29071fd6910eca3aa74979b69b04f16559a9623d235d67017b3722efb","abstract_canon_sha256":"7eeca2b0a119de7af9603e1b83f141858f287b2cadb4bdfa6bb0513eb5ab5232"},"schema_version":"1.0"},"canonical_sha256":"dc60c7c7f7a01f3ef479b78a0b640b0b4fd083e21382f8cb355aac3aad9b298a","source":{"kind":"arxiv","id":"1807.09227","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.09227","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"1807.09227v1","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.09227","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"3RQMPR7XUAPT","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3RQMPR7XUAPT55DZ","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3RQMPR7X","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:3RQMPR7XUAPT55DZW6FAWZALBN","target":"record","payload":{"canonical_record":{"source":{"id":"1807.09227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T16:45:49Z","cross_cats_sorted":[],"title_canon_sha256":"055517d29071fd6910eca3aa74979b69b04f16559a9623d235d67017b3722efb","abstract_canon_sha256":"7eeca2b0a119de7af9603e1b83f141858f287b2cadb4bdfa6bb0513eb5ab5232"},"schema_version":"1.0"},"canonical_sha256":"dc60c7c7f7a01f3ef479b78a0b640b0b4fd083e21382f8cb355aac3aad9b298a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:56.358162Z","signature_b64":"3ukHyMxBJlor3j7gG2E3gYYAUV0TfQUEfazJTs80uDHG9MDMQFiX5ewWi7FN63Rk3T5G0LuvgADb3lpjFTgnDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc60c7c7f7a01f3ef479b78a0b640b0b4fd083e21382f8cb355aac3aad9b298a","last_reissued_at":"2026-05-18T00:09:56.357571Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:56.357571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.09227","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":"2026-05-18T00:09:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WMgLCdg4XFxanm8PoFiVB2zXiiwaClWOdn6HnJ+sKwUE04DApej9zaVnH+Fde392N8i4oYlhzHE9YLHSEi1wCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T16:33:00.597640Z"},"content_sha256":"0c6cfeab45403b9cd0215b39bd60b4db81031fc8eb9f6e82d2483a09dd4dfda4","schema_version":"1.0","event_id":"sha256:0c6cfeab45403b9cd0215b39bd60b4db81031fc8eb9f6e82d2483a09dd4dfda4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:3RQMPR7XUAPT55DZW6FAWZALBN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Class Lesion Diagnosis with Pixel-wise Classification Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiahua Ng, Manu Goyal, Moi Hoon Yap","submitted_at":"2018-07-24T16:45:49Z","abstract_excerpt":"Lesion diagnosis of skin lesions is a very challenging task due to high inter-class similarities and intra-class variations in terms of color, size, site and appearance among different skin lesions. With the emergence of computer vision especially deep learning algorithms, lesion diagnosis is made possible using these algorithms trained on dermoscopic images. Usually, deep classification networks are used for the lesion diagnosis to determine different types of skin lesions. In this work, we used pixel-wise classification network to provide lesion diagnosis rather than classification network. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.09227","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":""},"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":"2026-05-18T00:09:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sUDNicUFizQgI9zf2d1fqNdPv66LOAOR9Q9XjGu4n8YwAioG5yOYLH/IhTRFU43pMVdDsRT7xsI7VpmuOiaQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T16:33:00.597979Z"},"content_sha256":"9cda459f02aa843a187066d300fe92b634a216da9898a6e0b6ee21c9c6940ccf","schema_version":"1.0","event_id":"sha256:9cda459f02aa843a187066d300fe92b634a216da9898a6e0b6ee21c9c6940ccf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3RQMPR7XUAPT55DZW6FAWZALBN/bundle.json","state_url":"https://pith.science/pith/3RQMPR7XUAPT55DZW6FAWZALBN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3RQMPR7XUAPT55DZW6FAWZALBN/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":"2026-06-27T16:33:00Z","links":{"resolver":"https://pith.science/pith/3RQMPR7XUAPT55DZW6FAWZALBN","bundle":"https://pith.science/pith/3RQMPR7XUAPT55DZW6FAWZALBN/bundle.json","state":"https://pith.science/pith/3RQMPR7XUAPT55DZW6FAWZALBN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3RQMPR7XUAPT55DZW6FAWZALBN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3RQMPR7XUAPT55DZW6FAWZALBN","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":"7eeca2b0a119de7af9603e1b83f141858f287b2cadb4bdfa6bb0513eb5ab5232","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T16:45:49Z","title_canon_sha256":"055517d29071fd6910eca3aa74979b69b04f16559a9623d235d67017b3722efb"},"schema_version":"1.0","source":{"id":"1807.09227","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.09227","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"1807.09227v1","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.09227","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"3RQMPR7XUAPT","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"3RQMPR7XUAPT55DZ","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"3RQMPR7X","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:9cda459f02aa843a187066d300fe92b634a216da9898a6e0b6ee21c9c6940ccf","target":"graph","created_at":"2026-05-18T00:09:56Z","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":"Lesion diagnosis of skin lesions is a very challenging task due to high inter-class similarities and intra-class variations in terms of color, size, site and appearance among different skin lesions. With the emergence of computer vision especially deep learning algorithms, lesion diagnosis is made possible using these algorithms trained on dermoscopic images. Usually, deep classification networks are used for the lesion diagnosis to determine different types of skin lesions. In this work, we used pixel-wise classification network to provide lesion diagnosis rather than classification network. ","authors_text":"Jiahua Ng, Manu Goyal, Moi Hoon Yap","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T16:45:49Z","title":"Multi-Class Lesion Diagnosis with Pixel-wise Classification Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.09227","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":"sha256:0c6cfeab45403b9cd0215b39bd60b4db81031fc8eb9f6e82d2483a09dd4dfda4","target":"record","created_at":"2026-05-18T00:09:56Z","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":"7eeca2b0a119de7af9603e1b83f141858f287b2cadb4bdfa6bb0513eb5ab5232","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T16:45:49Z","title_canon_sha256":"055517d29071fd6910eca3aa74979b69b04f16559a9623d235d67017b3722efb"},"schema_version":"1.0","source":{"id":"1807.09227","kind":"arxiv","version":1}},"canonical_sha256":"dc60c7c7f7a01f3ef479b78a0b640b0b4fd083e21382f8cb355aac3aad9b298a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc60c7c7f7a01f3ef479b78a0b640b0b4fd083e21382f8cb355aac3aad9b298a","first_computed_at":"2026-05-18T00:09:56.357571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:56.357571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3ukHyMxBJlor3j7gG2E3gYYAUV0TfQUEfazJTs80uDHG9MDMQFiX5ewWi7FN63Rk3T5G0LuvgADb3lpjFTgnDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:56.358162Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.09227","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c6cfeab45403b9cd0215b39bd60b4db81031fc8eb9f6e82d2483a09dd4dfda4","sha256:9cda459f02aa843a187066d300fe92b634a216da9898a6e0b6ee21c9c6940ccf"],"state_sha256":"2cab093d6f341a23df54c35d427ac81e3eb4e460bde86923bcfeca6bb721b21b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+4bGjIZW7ECffsElZ44QCNNCfuMiTxMq6tXvl1kKjwUifNiD6P1U6M81QHwovNEpylx0Qm8V7CA1DiS7ri45Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T16:33:00.599864Z","bundle_sha256":"bfc2b74aca217fc3f91b9ce95133d80062f8fa2116602117302c65b51b019a53"}}