{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HVXUD72WWT7RUQCQUKMG5BNAVK","short_pith_number":"pith:HVXUD72W","canonical_record":{"source":{"id":"1807.09163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T14:48:57Z","cross_cats_sorted":[],"title_canon_sha256":"bbf7401d49705e3e96a518915876df5f3eb1f5c2384bd147583090d5f91a58c2","abstract_canon_sha256":"c7801a39196958912c45c1123d453ce83f98e7ce8fa8c7dfa1c03ec58af4516d"},"schema_version":"1.0"},"canonical_sha256":"3d6f41ff56b4ff1a4050a2986e85a0aa92724edb739123ede9878695af33875e","source":{"kind":"arxiv","id":"1807.09163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.09163","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"1807.09163v1","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.09163","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"HVXUD72WWT7R","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HVXUD72WWT7RUQCQ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HVXUD72W","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HVXUD72WWT7RUQCQUKMG5BNAVK","target":"record","payload":{"canonical_record":{"source":{"id":"1807.09163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T14:48:57Z","cross_cats_sorted":[],"title_canon_sha256":"bbf7401d49705e3e96a518915876df5f3eb1f5c2384bd147583090d5f91a58c2","abstract_canon_sha256":"c7801a39196958912c45c1123d453ce83f98e7ce8fa8c7dfa1c03ec58af4516d"},"schema_version":"1.0"},"canonical_sha256":"3d6f41ff56b4ff1a4050a2986e85a0aa92724edb739123ede9878695af33875e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:56.570790Z","signature_b64":"9cSGt2uLEiRb3iF4sg9Rit5zwDvSzAyibE++vtM9KmsvqEHmGGA61GMKXaDm2dEYAzkhr8pIQY9brHIvaOi/BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d6f41ff56b4ff1a4050a2986e85a0aa92724edb739123ede9878695af33875e","last_reissued_at":"2026-05-18T00:09:56.570108Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:56.570108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.09163","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":"Feug51BNq4nIFCEwPMewvVYBRNrrBoRy5cdC7K4AJBdSPStEmZFJn43TH4BI4P4eaG42L40RHJiPIma5JnODAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T14:07:31.016255Z"},"content_sha256":"b714008065585f7d80d1a128d43a3c50526013fe62d3c44a840006063d6900a7","schema_version":"1.0","event_id":"sha256:b714008065585f7d80d1a128d43a3c50526013fe62d3c44a840006063d6900a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HVXUD72WWT7RUQCQUKMG5BNAVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Skin disease identification from dermoscopy images using deep convolutional neural network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anabik Pal, Sounak Ray, Utpal Garain","submitted_at":"2018-07-24T14:48:57Z","abstract_excerpt":"In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images. The developed algorithm is applied on the task3 of the ISIC 2018 challenge dataset (Skin Lesion Analysis Towards Melanoma Detection)."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.09163","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":"NPVZyxUquyLuRcrGKxKDksWDPlEI6OQPerTu+3ZP28LqFsvsRnXTQryrfNGrj66i0zmjRGZMxIQ/ZfHGEG7UCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T14:07:31.016657Z"},"content_sha256":"7ccd6873087e899c6ed41f51079b535f68e4b771c62b97e5e35b635ccf51f014","schema_version":"1.0","event_id":"sha256:7ccd6873087e899c6ed41f51079b535f68e4b771c62b97e5e35b635ccf51f014"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HVXUD72WWT7RUQCQUKMG5BNAVK/bundle.json","state_url":"https://pith.science/pith/HVXUD72WWT7RUQCQUKMG5BNAVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HVXUD72WWT7RUQCQUKMG5BNAVK/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":"2026-06-30T14:07:31Z","links":{"resolver":"https://pith.science/pith/HVXUD72WWT7RUQCQUKMG5BNAVK","bundle":"https://pith.science/pith/HVXUD72WWT7RUQCQUKMG5BNAVK/bundle.json","state":"https://pith.science/pith/HVXUD72WWT7RUQCQUKMG5BNAVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HVXUD72WWT7RUQCQUKMG5BNAVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HVXUD72WWT7RUQCQUKMG5BNAVK","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":"c7801a39196958912c45c1123d453ce83f98e7ce8fa8c7dfa1c03ec58af4516d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T14:48:57Z","title_canon_sha256":"bbf7401d49705e3e96a518915876df5f3eb1f5c2384bd147583090d5f91a58c2"},"schema_version":"1.0","source":{"id":"1807.09163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.09163","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"1807.09163v1","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.09163","created_at":"2026-05-18T00:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"HVXUD72WWT7R","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HVXUD72WWT7RUQCQ","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HVXUD72W","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:7ccd6873087e899c6ed41f51079b535f68e4b771c62b97e5e35b635ccf51f014","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":"In this paper, a deep neural network based ensemble method is experimented for automatic identification of skin disease from dermoscopic images. The developed algorithm is applied on the task3 of the ISIC 2018 challenge dataset (Skin Lesion Analysis Towards Melanoma Detection).","authors_text":"Anabik Pal, Sounak Ray, Utpal Garain","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T14:48:57Z","title":"Skin disease identification from dermoscopy images using deep convolutional neural network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.09163","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:b714008065585f7d80d1a128d43a3c50526013fe62d3c44a840006063d6900a7","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":"c7801a39196958912c45c1123d453ce83f98e7ce8fa8c7dfa1c03ec58af4516d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-24T14:48:57Z","title_canon_sha256":"bbf7401d49705e3e96a518915876df5f3eb1f5c2384bd147583090d5f91a58c2"},"schema_version":"1.0","source":{"id":"1807.09163","kind":"arxiv","version":1}},"canonical_sha256":"3d6f41ff56b4ff1a4050a2986e85a0aa92724edb739123ede9878695af33875e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d6f41ff56b4ff1a4050a2986e85a0aa92724edb739123ede9878695af33875e","first_computed_at":"2026-05-18T00:09:56.570108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:56.570108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9cSGt2uLEiRb3iF4sg9Rit5zwDvSzAyibE++vtM9KmsvqEHmGGA61GMKXaDm2dEYAzkhr8pIQY9brHIvaOi/BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:56.570790Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.09163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b714008065585f7d80d1a128d43a3c50526013fe62d3c44a840006063d6900a7","sha256:7ccd6873087e899c6ed41f51079b535f68e4b771c62b97e5e35b635ccf51f014"],"state_sha256":"941b696ff87d39f013882f58c4a1a81acc269209fe3c3868e27f0b4932bf7dd9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OWR+1MfXgmEby0gXakLYSZtpik8nlqzm0Q4rzXFgM7GLGpnZB44G8dftYoy2V5SAYDsDO0Hy4Pwa699wtRUzAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T14:07:31.018523Z","bundle_sha256":"5aadf80d56c4c9340226aeb3f7e3c29d1aa385df062ed9904116cad05646b549"}}