{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:R3QRQYI3EN2TPEVZTNQBKD3QLV","short_pith_number":"pith:R3QRQYI3","canonical_record":{"source":{"id":"2503.17536","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-21T20:45:39Z","cross_cats_sorted":[],"title_canon_sha256":"64550cbc3bea0de9521ad86cd3e2d4857537b1359665153372b307aaaa9aca3a","abstract_canon_sha256":"5476926502a74f81baa9116e3cde25134864b53323edac190e575355fb8f8e08"},"schema_version":"1.0"},"canonical_sha256":"8ee118611b23753792b99b60150f705d58a14d5eddc53335c1edc485dc044d6e","source":{"kind":"arxiv","id":"2503.17536","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17536","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17536v1","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17536","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"pith_short_12","alias_value":"R3QRQYI3EN2T","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"pith_short_16","alias_value":"R3QRQYI3EN2TPEVZ","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"pith_short_8","alias_value":"R3QRQYI3","created_at":"2026-07-05T10:37:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:R3QRQYI3EN2TPEVZTNQBKD3QLV","target":"record","payload":{"canonical_record":{"source":{"id":"2503.17536","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-21T20:45:39Z","cross_cats_sorted":[],"title_canon_sha256":"64550cbc3bea0de9521ad86cd3e2d4857537b1359665153372b307aaaa9aca3a","abstract_canon_sha256":"5476926502a74f81baa9116e3cde25134864b53323edac190e575355fb8f8e08"},"schema_version":"1.0"},"canonical_sha256":"8ee118611b23753792b99b60150f705d58a14d5eddc53335c1edc485dc044d6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:37:11.639520Z","signature_b64":"fxFFTI6ttL/Bh1iiaN3Rpzk8BvuGB8hpc4cvvNxkzlnXfLXeoZ20PPvz9yeHyR2G2risIg4MvntZpGgeqoedDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ee118611b23753792b99b60150f705d58a14d5eddc53335c1edc485dc044d6e","last_reissued_at":"2026-07-05T10:37:11.638966Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:37:11.638966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.17536","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":"2026-07-05T10:37:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4t6ZY5A0GwisDLeLo78H1Ut2Jjkmg92/+NQ2mzevO7uiAzrTdkkepsQNlV3t3WacRgmczgM8r0KMCY6PpXKxBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:12:37.751773Z"},"content_sha256":"151d70e7c77d4183be8c86ba76581eae3ba1eea07f9f6bc0cf60213f2615e264","schema_version":"1.0","event_id":"sha256:151d70e7c77d4183be8c86ba76581eae3ba1eea07f9f6bc0cf60213f2615e264"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:R3QRQYI3EN2TPEVZTNQBKD3QLV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdullah-Al-Zubaer Imran, Nusrat Munia","submitted_at":"2025-03-21T20:45:39Z","abstract_excerpt":"Skin diseases, such as skin cancer, are a significant public health issue, and early diagnosis is crucial for effective treatment. Artificial intelligence (AI) algorithms have the potential to assist in triaging benign vs malignant skin lesions and improve diagnostic accuracy. However, existing AI models for skin disease diagnosis are often developed and tested on limited and biased datasets, leading to poor performance on certain skin tones. To address this problem, we propose a novel generative model, named DermDiff, that can generate diverse and representative dermoscopic image data for ski"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17536","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/2503.17536/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":"2026-07-05T10:37:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3MCnbsO3Akq5GuBFCiPmmGQDkzz/jzEyFZxKIDFhYpgxYRVwZv27ubaPmpaBWbiamiUHiuOkLUcAXI3PqY/hBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T21:12:37.752147Z"},"content_sha256":"3e09c20cbf0e9d047fd4f5192fc68e5e247bafaf8f0f39b6d4fc617f833e33d3","schema_version":"1.0","event_id":"sha256:3e09c20cbf0e9d047fd4f5192fc68e5e247bafaf8f0f39b6d4fc617f833e33d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV/bundle.json","state_url":"https://pith.science/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV/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":"2026-07-06T21:12:37Z","links":{"resolver":"https://pith.science/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV","bundle":"https://pith.science/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV/bundle.json","state":"https://pith.science/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R3QRQYI3EN2TPEVZTNQBKD3QLV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:R3QRQYI3EN2TPEVZTNQBKD3QLV","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":"5476926502a74f81baa9116e3cde25134864b53323edac190e575355fb8f8e08","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-21T20:45:39Z","title_canon_sha256":"64550cbc3bea0de9521ad86cd3e2d4857537b1359665153372b307aaaa9aca3a"},"schema_version":"1.0","source":{"id":"2503.17536","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17536","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17536v1","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17536","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"pith_short_12","alias_value":"R3QRQYI3EN2T","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"pith_short_16","alias_value":"R3QRQYI3EN2TPEVZ","created_at":"2026-07-05T10:37:11Z"},{"alias_kind":"pith_short_8","alias_value":"R3QRQYI3","created_at":"2026-07-05T10:37:11Z"}],"graph_snapshots":[{"event_id":"sha256:3e09c20cbf0e9d047fd4f5192fc68e5e247bafaf8f0f39b6d4fc617f833e33d3","target":"graph","created_at":"2026-07-05T10:37:11Z","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/2503.17536/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Skin diseases, such as skin cancer, are a significant public health issue, and early diagnosis is crucial for effective treatment. Artificial intelligence (AI) algorithms have the potential to assist in triaging benign vs malignant skin lesions and improve diagnostic accuracy. However, existing AI models for skin disease diagnosis are often developed and tested on limited and biased datasets, leading to poor performance on certain skin tones. To address this problem, we propose a novel generative model, named DermDiff, that can generate diverse and representative dermoscopic image data for ski","authors_text":"Abdullah-Al-Zubaer Imran, Nusrat Munia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-21T20:45:39Z","title":"DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17536","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":"sha256:151d70e7c77d4183be8c86ba76581eae3ba1eea07f9f6bc0cf60213f2615e264","target":"record","created_at":"2026-07-05T10:37:11Z","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":"5476926502a74f81baa9116e3cde25134864b53323edac190e575355fb8f8e08","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-21T20:45:39Z","title_canon_sha256":"64550cbc3bea0de9521ad86cd3e2d4857537b1359665153372b307aaaa9aca3a"},"schema_version":"1.0","source":{"id":"2503.17536","kind":"arxiv","version":1}},"canonical_sha256":"8ee118611b23753792b99b60150f705d58a14d5eddc53335c1edc485dc044d6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ee118611b23753792b99b60150f705d58a14d5eddc53335c1edc485dc044d6e","first_computed_at":"2026-07-05T10:37:11.638966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:37:11.638966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fxFFTI6ttL/Bh1iiaN3Rpzk8BvuGB8hpc4cvvNxkzlnXfLXeoZ20PPvz9yeHyR2G2risIg4MvntZpGgeqoedDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:37:11.639520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.17536","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:151d70e7c77d4183be8c86ba76581eae3ba1eea07f9f6bc0cf60213f2615e264","sha256:3e09c20cbf0e9d047fd4f5192fc68e5e247bafaf8f0f39b6d4fc617f833e33d3"],"state_sha256":"2e590935f741efdde93bfaac97b031c734d02159769eefa09415e1c20e4e16cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BDqjixAeiu6oLHmIHmVPRwLirkfy8fd5l5ahINrSAiwRpH6HheqPZ+v/UaJAHTJ0ZuKTbV+LpJCO25weWRZOCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T21:12:37.754204Z","bundle_sha256":"d7ccdf492cffd059fcc1a10e09c46eb257b74b25de931df7acd4cca0289cf8cc"}}