{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:KXM6CBV3GQA56YIZ6HZV7CMRNT","short_pith_number":"pith:KXM6CBV3","canonical_record":{"source":{"id":"1808.01676","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T19:13:15Z","cross_cats_sorted":[],"title_canon_sha256":"1d2694b68b67ff1617e0464e11beefb9a8065db2e5d5114f7bcb4b4c1046b65a","abstract_canon_sha256":"da861590d6293ca43afe207bbb4f589824e539191fd1e443e030925635a54e4b"},"schema_version":"1.0"},"canonical_sha256":"55d9e106bb3401df6119f1f35f89916ce87b03db721f1f59309890c56c2ade1e","source":{"kind":"arxiv","id":"1808.01676","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.01676","created_at":"2026-05-17T23:52:52Z"},{"alias_kind":"arxiv_version","alias_value":"1808.01676v1","created_at":"2026-05-17T23:52:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.01676","created_at":"2026-05-17T23:52:52Z"},{"alias_kind":"pith_short_12","alias_value":"KXM6CBV3GQA5","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KXM6CBV3GQA56YIZ","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KXM6CBV3","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:KXM6CBV3GQA56YIZ6HZV7CMRNT","target":"record","payload":{"canonical_record":{"source":{"id":"1808.01676","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T19:13:15Z","cross_cats_sorted":[],"title_canon_sha256":"1d2694b68b67ff1617e0464e11beefb9a8065db2e5d5114f7bcb4b4c1046b65a","abstract_canon_sha256":"da861590d6293ca43afe207bbb4f589824e539191fd1e443e030925635a54e4b"},"schema_version":"1.0"},"canonical_sha256":"55d9e106bb3401df6119f1f35f89916ce87b03db721f1f59309890c56c2ade1e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:52.503725Z","signature_b64":"hIzW6uTxt1szOx8PYPI62V/ck7DZEYdAebI/DgBtchsRKCq6QhVErA7AdNPifhuYHc95BUL/y4xOw4X/HG7yCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55d9e106bb3401df6119f1f35f89916ce87b03db721f1f59309890c56c2ade1e","last_reissued_at":"2026-05-17T23:52:52.502895Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:52.502895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.01676","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":"2026-05-17T23:52:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2NVrw5ME5SHcP+Px2qd7P29H/Bo23LtJdb/1iGPyY8EPCLo69sDD3y46AMnRR0rwletyN7roNd6Hmp/7toXRAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T22:27:05.387832Z"},"content_sha256":"d388fbd199b203b61a6ab5a44c6772135e342b2975577099caf7a25b6a1bc303","schema_version":"1.0","event_id":"sha256:d388fbd199b203b61a6ab5a44c6772135e342b2975577099caf7a25b6a1bc303"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:KXM6CBV3GQA56YIZ6HZV7CMRNT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Multi-task Framework for Skin Lesion Detection and Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andreas Maier, Nishant Ravikumar, Shreyas Malakarjun Patil, Sulaiman Vesal","submitted_at":"2018-08-05T19:13:15Z","abstract_excerpt":"Early detection and segmentation of skin lesions is crucial for timely diagnosis and treatment, necessary to improve the survival rate of patients. However, manual delineation is time consuming and subject to intra- and inter-observer variations among dermatologists. This underlines the need for an accurate and automatic approach to skin lesion segmentation. To tackle this issue, we propose a multi-task convolutional neural network (CNN) based, joint detection and segmentation framework, designed to initially localize the lesion and subsequently, segment it. A `Faster region-based convolutiona"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.01676","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":"2026-05-17T23:52:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y1ImHrijVkfraWjSNh0zTgpsUhWqWyaccGzt51uPdez2//AexN0qYeQtb/KTqIlB27CmJ6sXItuk0FoF3HXKCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T22:27:05.388181Z"},"content_sha256":"919bb4af5a5b2b895d73473de82d5e9c556de278a465c0844bcd2be7d4002d51","schema_version":"1.0","event_id":"sha256:919bb4af5a5b2b895d73473de82d5e9c556de278a465c0844bcd2be7d4002d51"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT/bundle.json","state_url":"https://pith.science/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT/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":"2026-06-22T22:27:05Z","links":{"resolver":"https://pith.science/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT","bundle":"https://pith.science/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT/bundle.json","state":"https://pith.science/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KXM6CBV3GQA56YIZ6HZV7CMRNT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KXM6CBV3GQA56YIZ6HZV7CMRNT","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":"da861590d6293ca43afe207bbb4f589824e539191fd1e443e030925635a54e4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T19:13:15Z","title_canon_sha256":"1d2694b68b67ff1617e0464e11beefb9a8065db2e5d5114f7bcb4b4c1046b65a"},"schema_version":"1.0","source":{"id":"1808.01676","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.01676","created_at":"2026-05-17T23:52:52Z"},{"alias_kind":"arxiv_version","alias_value":"1808.01676v1","created_at":"2026-05-17T23:52:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.01676","created_at":"2026-05-17T23:52:52Z"},{"alias_kind":"pith_short_12","alias_value":"KXM6CBV3GQA5","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KXM6CBV3GQA56YIZ","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KXM6CBV3","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:919bb4af5a5b2b895d73473de82d5e9c556de278a465c0844bcd2be7d4002d51","target":"graph","created_at":"2026-05-17T23:52:52Z","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"},"paper":{"abstract_excerpt":"Early detection and segmentation of skin lesions is crucial for timely diagnosis and treatment, necessary to improve the survival rate of patients. However, manual delineation is time consuming and subject to intra- and inter-observer variations among dermatologists. This underlines the need for an accurate and automatic approach to skin lesion segmentation. To tackle this issue, we propose a multi-task convolutional neural network (CNN) based, joint detection and segmentation framework, designed to initially localize the lesion and subsequently, segment it. A `Faster region-based convolutiona","authors_text":"Andreas Maier, Nishant Ravikumar, Shreyas Malakarjun Patil, Sulaiman Vesal","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T19:13:15Z","title":"A Multi-task Framework for Skin Lesion Detection and Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.01676","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:d388fbd199b203b61a6ab5a44c6772135e342b2975577099caf7a25b6a1bc303","target":"record","created_at":"2026-05-17T23:52:52Z","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":"da861590d6293ca43afe207bbb4f589824e539191fd1e443e030925635a54e4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-05T19:13:15Z","title_canon_sha256":"1d2694b68b67ff1617e0464e11beefb9a8065db2e5d5114f7bcb4b4c1046b65a"},"schema_version":"1.0","source":{"id":"1808.01676","kind":"arxiv","version":1}},"canonical_sha256":"55d9e106bb3401df6119f1f35f89916ce87b03db721f1f59309890c56c2ade1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55d9e106bb3401df6119f1f35f89916ce87b03db721f1f59309890c56c2ade1e","first_computed_at":"2026-05-17T23:52:52.502895Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:52.502895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hIzW6uTxt1szOx8PYPI62V/ck7DZEYdAebI/DgBtchsRKCq6QhVErA7AdNPifhuYHc95BUL/y4xOw4X/HG7yCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:52.503725Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.01676","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d388fbd199b203b61a6ab5a44c6772135e342b2975577099caf7a25b6a1bc303","sha256:919bb4af5a5b2b895d73473de82d5e9c556de278a465c0844bcd2be7d4002d51"],"state_sha256":"dd13fb7a2d27c45f6b63bc3098022ebc2f2f2e89269f3869d7067ef376e05b2a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iHgD+sFUcSBVpXRbNWNAp/+Vr8OFL0ncPOkkcO88zObWNOeh76JmZguw8E6d2FW15OM3g4tTJ+O6B9aPD9UYBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T22:27:05.390097Z","bundle_sha256":"746319f8d6d8908735c7a7846c0408c5e3d7a6fb75da4e39eee674e46f709cf5"}}