{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:O7GU3267GCWEKMLEVR5MXK3QC4","short_pith_number":"pith:O7GU3267","canonical_record":{"source":{"id":"2608.03225","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T06:58:26Z","cross_cats_sorted":[],"title_canon_sha256":"ce7382442ecb4a9a7f77029f335461d158c68d48555ac19334084b4ea348a810","abstract_canon_sha256":"0fd7ac127d2cf4f829f532f11f5f352f80f1c86d2fa8a56b1208a259a58da725"},"schema_version":"1.0"},"canonical_sha256":"77cd4debdf30ac453164ac7acbab70172529bddb1af55acf26b400f12607c222","source":{"kind":"arxiv","id":"2608.03225","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03225","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03225v1","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03225","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"pith_short_12","alias_value":"O7GU3267GCWE","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"pith_short_16","alias_value":"O7GU3267GCWEKMLE","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"pith_short_8","alias_value":"O7GU3267","created_at":"2026-08-05T00:46:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:O7GU3267GCWEKMLEVR5MXK3QC4","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03225","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T06:58:26Z","cross_cats_sorted":[],"title_canon_sha256":"ce7382442ecb4a9a7f77029f335461d158c68d48555ac19334084b4ea348a810","abstract_canon_sha256":"0fd7ac127d2cf4f829f532f11f5f352f80f1c86d2fa8a56b1208a259a58da725"},"schema_version":"1.0"},"canonical_sha256":"77cd4debdf30ac453164ac7acbab70172529bddb1af55acf26b400f12607c222","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T00:46:19.504862Z","signature_b64":"yAiKUzaOyytTcNbw4NdUzBq4zIMRwIuDWylKyurVTt+u0UohB7+jY8CT6uAMRaeTOJ/8XaOUIr5McueT9orFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77cd4debdf30ac453164ac7acbab70172529bddb1af55acf26b400f12607c222","last_reissued_at":"2026-08-05T00:46:19.502483Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T00:46:19.502483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03225","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":"2026-08-05T00:46:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XI8payQKa/M4x/xC3lcQKhwygONGUs8sNImuEK/UhiNFUBck15VChEms1jDnvxNfn77VFVAa78crIkCHHqHUCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:52:36.438903Z"},"content_sha256":"563b18e21c57a0d113edd466593bf267b33ef0b50b11c3c7c6adfa5083d135c1","schema_version":"1.0","event_id":"sha256:563b18e21c57a0d113edd466593bf267b33ef0b50b11c3c7c6adfa5083d135c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:O7GU3267GCWEKMLEVR5MXK3QC4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Open-Linguistic Concept Unified Learning for Cross-Site Interpretable Dermatology Image Diagnosis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengyu Wu, Junpeng Tan, Wanxiang Luo, Yandong Wen, Yaqi Wang, Yefeng Zheng","submitted_at":"2026-08-04T06:58:26Z","abstract_excerpt":"Human-interpretable computer-aided diagnosis is crucial for clinical decision making. Concept-based models excel by providing transparent reasoning and enabling post-hoc, clinician-in-the-loop interventions. However, their rigid dataset-specific adaptation inherently restricts cross-site generalization. Applying them across diverse modalities, such as dermoscopic and clinical photographs, is challenging due to heterogeneous concept taxonomies varying in availability, granularity, and semantics across cohorts. Consequently, adapting Foundation Vision-Language Models (FVLMs) demands costly label"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03225","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/2608.03225/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":"2026-08-05T00:46:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ciThLNpRi7m6bKQiFzo9Y9n+jDLCG1z1fKPhEQhlB2iY0HRlz7iq1Zj5sEXEGAkaCADP11E1ybywFT8L4UB/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:52:36.439822Z"},"content_sha256":"b2b5cc21c29c9a585a6ad12d5b588c4e34993b4072cd9f849339dac6d83eab76","schema_version":"1.0","event_id":"sha256:b2b5cc21c29c9a585a6ad12d5b588c4e34993b4072cd9f849339dac6d83eab76"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O7GU3267GCWEKMLEVR5MXK3QC4/bundle.json","state_url":"https://pith.science/pith/O7GU3267GCWEKMLEVR5MXK3QC4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O7GU3267GCWEKMLEVR5MXK3QC4/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":"2026-08-07T00:52:36Z","links":{"resolver":"https://pith.science/pith/O7GU3267GCWEKMLEVR5MXK3QC4","bundle":"https://pith.science/pith/O7GU3267GCWEKMLEVR5MXK3QC4/bundle.json","state":"https://pith.science/pith/O7GU3267GCWEKMLEVR5MXK3QC4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O7GU3267GCWEKMLEVR5MXK3QC4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:O7GU3267GCWEKMLEVR5MXK3QC4","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":"0fd7ac127d2cf4f829f532f11f5f352f80f1c86d2fa8a56b1208a259a58da725","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T06:58:26Z","title_canon_sha256":"ce7382442ecb4a9a7f77029f335461d158c68d48555ac19334084b4ea348a810"},"schema_version":"1.0","source":{"id":"2608.03225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03225","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03225v1","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03225","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"pith_short_12","alias_value":"O7GU3267GCWE","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"pith_short_16","alias_value":"O7GU3267GCWEKMLE","created_at":"2026-08-05T00:46:19Z"},{"alias_kind":"pith_short_8","alias_value":"O7GU3267","created_at":"2026-08-05T00:46:19Z"}],"graph_snapshots":[{"event_id":"sha256:b2b5cc21c29c9a585a6ad12d5b588c4e34993b4072cd9f849339dac6d83eab76","target":"graph","created_at":"2026-08-05T00:46:19Z","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/2608.03225/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human-interpretable computer-aided diagnosis is crucial for clinical decision making. Concept-based models excel by providing transparent reasoning and enabling post-hoc, clinician-in-the-loop interventions. However, their rigid dataset-specific adaptation inherently restricts cross-site generalization. Applying them across diverse modalities, such as dermoscopic and clinical photographs, is challenging due to heterogeneous concept taxonomies varying in availability, granularity, and semantics across cohorts. Consequently, adapting Foundation Vision-Language Models (FVLMs) demands costly label","authors_text":"Chengyu Wu, Junpeng Tan, Wanxiang Luo, Yandong Wen, Yaqi Wang, Yefeng Zheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T06:58:26Z","title":"Open-Linguistic Concept Unified Learning for Cross-Site Interpretable Dermatology Image Diagnosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03225","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":"sha256:563b18e21c57a0d113edd466593bf267b33ef0b50b11c3c7c6adfa5083d135c1","target":"record","created_at":"2026-08-05T00:46:19Z","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":"0fd7ac127d2cf4f829f532f11f5f352f80f1c86d2fa8a56b1208a259a58da725","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T06:58:26Z","title_canon_sha256":"ce7382442ecb4a9a7f77029f335461d158c68d48555ac19334084b4ea348a810"},"schema_version":"1.0","source":{"id":"2608.03225","kind":"arxiv","version":1}},"canonical_sha256":"77cd4debdf30ac453164ac7acbab70172529bddb1af55acf26b400f12607c222","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77cd4debdf30ac453164ac7acbab70172529bddb1af55acf26b400f12607c222","first_computed_at":"2026-08-05T00:46:19.502483Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T00:46:19.502483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yAiKUzaOyytTcNbw4NdUzBq4zIMRwIuDWylKyurVTt+u0UohB7+jY8CT6uAMRaeTOJ/8XaOUIr5McueT9orFAg==","signature_status":"signed_v1","signed_at":"2026-08-05T00:46:19.504862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:563b18e21c57a0d113edd466593bf267b33ef0b50b11c3c7c6adfa5083d135c1","sha256:b2b5cc21c29c9a585a6ad12d5b588c4e34993b4072cd9f849339dac6d83eab76"],"state_sha256":"eca2c4ff936aad96762978e472460a154ab8f32bb6aa85dd4c4f1cd660fc9982"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cxJw5tW/oPnMMrk3cA8S99+QWeYVZMrSe5D44SwS8h39ye0o7aWfoSUg9U9zsdHV68UNTU29yzQ9oa6cwhnWAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T00:52:36.444489Z","bundle_sha256":"7ee351ac2a61d3df013a7c4d04edb4ddff3a4b7810b93ff22400e85e0957f602"}}