{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ALDZW4JNXTAJTFNW5A5MHWQWAN","short_pith_number":"pith:ALDZW4JN","canonical_record":{"source":{"id":"2412.20007","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-28T04:06:44Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fb14b525638c945ce69f2cbaed820be9ccfb617e64e6afd4809e56ddd89df301","abstract_canon_sha256":"1587c709c09965b3edc768627519d029c070e2a1106d2448d3ce009fc2a177e1"},"schema_version":"1.0"},"canonical_sha256":"02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c","source":{"kind":"arxiv","id":"2412.20007","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20007","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20007v1","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20007","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"pith_short_12","alias_value":"ALDZW4JNXTAJ","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"pith_short_16","alias_value":"ALDZW4JNXTAJTFNW","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"pith_short_8","alias_value":"ALDZW4JN","created_at":"2026-07-05T09:54:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ALDZW4JNXTAJTFNW5A5MHWQWAN","target":"record","payload":{"canonical_record":{"source":{"id":"2412.20007","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-28T04:06:44Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"fb14b525638c945ce69f2cbaed820be9ccfb617e64e6afd4809e56ddd89df301","abstract_canon_sha256":"1587c709c09965b3edc768627519d029c070e2a1106d2448d3ce009fc2a177e1"},"schema_version":"1.0"},"canonical_sha256":"02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:53.045709Z","signature_b64":"EMobQA2QTsulw6zmAa/+qpKpbiDIM4ag200QyMZqiZHUi3mkllqpfHyf3cDGwdqIfAFKlxG9hoVdEMax5TPwDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c","last_reissued_at":"2026-07-05T09:54:53.045337Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:53.045337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.20007","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":"2026-07-05T09:54:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b/uil0Q9f7tXeaf9513tMNx4kGCbBFBg5nHFNNSroZ006l8AbX5U2qcoS1LJnfaKKHtkXoFSqpRY6IMeuWoOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:21:17.917318Z"},"content_sha256":"781679f43c7856fdb39c6f4dd265a496f57eb947a8b040f86d3ab4c3d6eb5b23","schema_version":"1.0","event_id":"sha256:781679f43c7856fdb39c6f4dd265a496f57eb947a8b040f86d3ab4c3d6eb5b23"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ALDZW4JNXTAJTFNW5A5MHWQWAN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Elhoucine Elfatimi, Pratik Shah","submitted_at":"2024-12-28T04:06:44Z","abstract_excerpt":"Deep learning models (DLMs) frequently achieve accurate segmentation and classification of tumors from medical images. However, DLMs lacking feedback on their image segmentation mechanisms, such as Dice coefficients and confidence in their performance, face challenges when processing previously unseen images in real-world clinical settings. Uncertainty estimates to identify DLM predictions at the cellular or single-pixel level that require clinician review can enhance trust. However, their deployment requires significant computational resources. This study reports two DLMs, one trained from sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20007","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/2412.20007/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":"2026-07-05T09:54:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ShTW/AMqjAgbmRyD4C2ktsyBn/9sCXbjQpUp3whURm4IwnF7peJ8yT8mgJkj271fIVG3ZCkokQoOqwMJX9kNAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:21:17.918092Z"},"content_sha256":"c94621ddcaac710a4211e3315bff33a637618e6c698ded7ebe115b1ba4036d09","schema_version":"1.0","event_id":"sha256:c94621ddcaac710a4211e3315bff33a637618e6c698ded7ebe115b1ba4036d09"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN/bundle.json","state_url":"https://pith.science/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN/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":"2026-08-21T13:21:17Z","links":{"resolver":"https://pith.science/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN","bundle":"https://pith.science/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN/bundle.json","state":"https://pith.science/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ALDZW4JNXTAJTFNW5A5MHWQWAN","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":"1587c709c09965b3edc768627519d029c070e2a1106d2448d3ce009fc2a177e1","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-28T04:06:44Z","title_canon_sha256":"fb14b525638c945ce69f2cbaed820be9ccfb617e64e6afd4809e56ddd89df301"},"schema_version":"1.0","source":{"id":"2412.20007","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20007","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20007v1","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20007","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"pith_short_12","alias_value":"ALDZW4JNXTAJ","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"pith_short_16","alias_value":"ALDZW4JNXTAJTFNW","created_at":"2026-07-05T09:54:53Z"},{"alias_kind":"pith_short_8","alias_value":"ALDZW4JN","created_at":"2026-07-05T09:54:53Z"}],"graph_snapshots":[{"event_id":"sha256:c94621ddcaac710a4211e3315bff33a637618e6c698ded7ebe115b1ba4036d09","target":"graph","created_at":"2026-07-05T09:54:53Z","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/2412.20007/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models (DLMs) frequently achieve accurate segmentation and classification of tumors from medical images. However, DLMs lacking feedback on their image segmentation mechanisms, such as Dice coefficients and confidence in their performance, face challenges when processing previously unseen images in real-world clinical settings. Uncertainty estimates to identify DLM predictions at the cellular or single-pixel level that require clinician review can enhance trust. However, their deployment requires significant computational resources. This study reports two DLMs, one trained from sc","authors_text":"Elhoucine Elfatimi, Pratik Shah","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-28T04:06:44Z","title":"Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20007","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":"sha256:781679f43c7856fdb39c6f4dd265a496f57eb947a8b040f86d3ab4c3d6eb5b23","target":"record","created_at":"2026-07-05T09:54:53Z","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":"1587c709c09965b3edc768627519d029c070e2a1106d2448d3ce009fc2a177e1","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-12-28T04:06:44Z","title_canon_sha256":"fb14b525638c945ce69f2cbaed820be9ccfb617e64e6afd4809e56ddd89df301"},"schema_version":"1.0","source":{"id":"2412.20007","kind":"arxiv","version":1}},"canonical_sha256":"02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c","first_computed_at":"2026-07-05T09:54:53.045337Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:53.045337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EMobQA2QTsulw6zmAa/+qpKpbiDIM4ag200QyMZqiZHUi3mkllqpfHyf3cDGwdqIfAFKlxG9hoVdEMax5TPwDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:53.045709Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20007","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:781679f43c7856fdb39c6f4dd265a496f57eb947a8b040f86d3ab4c3d6eb5b23","sha256:c94621ddcaac710a4211e3315bff33a637618e6c698ded7ebe115b1ba4036d09"],"state_sha256":"2d6fe2129f5bbd03b01875e4de695c9583a006b965ba104f1a22e3f3fa4b3c6b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RsD++zrTTsFm7Ggscu4RL/nabdh+AmJua9m8wP1ba7iMlEN/TXRMI7km+le3UAI18gJ1Iv6hF9fkXr4gb87QCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T13:21:17.924607Z","bundle_sha256":"ab5044ef0fbb64e29f2b582516b6551467c2b9b109525cc369b3492ae1aff774"}}