{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OB6Y3RG7PPTSYN7WQBJ7MFZXDS","short_pith_number":"pith:OB6Y3RG7","canonical_record":{"source":{"id":"2406.05596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T23:23:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"bd71aaf75a9f4fb886adccceed23010c085e5acc37df69700d71cdf2bd224848","abstract_canon_sha256":"0e295e847c5a9c94472be29d8d9c1f52ba69502b92ec6b835fe94e1184083b40"},"schema_version":"1.0"},"canonical_sha256":"707d8dc4df7be72c37f68053f617371cbb93c17998ebc2cae46b4d1a37c6bd70","source":{"kind":"arxiv","id":"2406.05596","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05596","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05596v2","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05596","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"OB6Y3RG7PPTS","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"OB6Y3RG7PPTSYN7W","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"OB6Y3RG7","created_at":"2026-07-05T09:09:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OB6Y3RG7PPTSYN7WQBJ7MFZXDS","target":"record","payload":{"canonical_record":{"source":{"id":"2406.05596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T23:23:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"bd71aaf75a9f4fb886adccceed23010c085e5acc37df69700d71cdf2bd224848","abstract_canon_sha256":"0e295e847c5a9c94472be29d8d9c1f52ba69502b92ec6b835fe94e1184083b40"},"schema_version":"1.0"},"canonical_sha256":"707d8dc4df7be72c37f68053f617371cbb93c17998ebc2cae46b4d1a37c6bd70","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:05.144932Z","signature_b64":"1daQTD2oCqYPoM963k2XHwLXx9g4v4vfv4MOhVfjWrHpP+q2l1uGQ3BTUBhvUwv2tuhnWYLbjwMEhoPXZD6FAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"707d8dc4df7be72c37f68053f617371cbb93c17998ebc2cae46b4d1a37c6bd70","last_reissued_at":"2026-07-05T09:09:05.144408Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:05.144408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.05596","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:09:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"76tY6laLd8nzSlB/0PvdfBTtvXMZTMqgUBRyTRItOMVdyH5u9rOKhq7NhEJZoEqcaPdXeTDGxtgoa39JGIdHAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:21:40.028672Z"},"content_sha256":"a5e7cd1a7d2140690e975d5922a026257fb7e827ff2d9a45a1458da466a0615f","schema_version":"1.0","event_id":"sha256:a5e7cd1a7d2140690e975d5922a026257fb7e827ff2d9a45a1458da466a0615f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OB6Y3RG7PPTSYN7WQBJ7MFZXDS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Difei Gu, Dimitris Metaxas, Mu Zhou, Yunhe Gao","submitted_at":"2024-06-08T23:23:28Z","abstract_excerpt":"Although explainability is essential in the clinical diagnosis, most deep learning models still function as black boxes without elucidating their decision-making process. In this study, we investigate the explainable model development that can mimic the decision-making process of human experts by fusing the domain knowledge of explicit diagnostic criteria. We introduce a simple yet effective framework, Explicd, towards Explainable language-informed criteria-based diagnosis. Explicd initiates its process by querying domain knowledge from either large language models (LLMs) or human experts to e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05596","kind":"arxiv","version":2},"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/2406.05596/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":"2026-07-05T09:09:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gTpUugCbacB7CBJbvBthHwQeQaKymGw6kCiS5hYOl/6PiBYd3LJulGnkNAJLnDR0aRuY9+2W22QiI1yMGy6YAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:21:40.029441Z"},"content_sha256":"a2b8e021a4dcce67228a3fb07efe4e834a5ec780594a60714a391f03a49597a5","schema_version":"1.0","event_id":"sha256:a2b8e021a4dcce67228a3fb07efe4e834a5ec780594a60714a391f03a49597a5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS/bundle.json","state_url":"https://pith.science/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS/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":"2026-07-07T06:21:40Z","links":{"resolver":"https://pith.science/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS","bundle":"https://pith.science/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS/bundle.json","state":"https://pith.science/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OB6Y3RG7PPTSYN7WQBJ7MFZXDS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OB6Y3RG7PPTSYN7WQBJ7MFZXDS","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":"0e295e847c5a9c94472be29d8d9c1f52ba69502b92ec6b835fe94e1184083b40","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T23:23:28Z","title_canon_sha256":"bd71aaf75a9f4fb886adccceed23010c085e5acc37df69700d71cdf2bd224848"},"schema_version":"1.0","source":{"id":"2406.05596","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05596","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05596v2","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05596","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"OB6Y3RG7PPTS","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"OB6Y3RG7PPTSYN7W","created_at":"2026-07-05T09:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"OB6Y3RG7","created_at":"2026-07-05T09:09:05Z"}],"graph_snapshots":[{"event_id":"sha256:a2b8e021a4dcce67228a3fb07efe4e834a5ec780594a60714a391f03a49597a5","target":"graph","created_at":"2026-07-05T09:09:05Z","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/2406.05596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although explainability is essential in the clinical diagnosis, most deep learning models still function as black boxes without elucidating their decision-making process. In this study, we investigate the explainable model development that can mimic the decision-making process of human experts by fusing the domain knowledge of explicit diagnostic criteria. We introduce a simple yet effective framework, Explicd, towards Explainable language-informed criteria-based diagnosis. Explicd initiates its process by querying domain knowledge from either large language models (LLMs) or human experts to e","authors_text":"Difei Gu, Dimitris Metaxas, Mu Zhou, Yunhe Gao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T23:23:28Z","title":"Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05596","kind":"arxiv","version":2},"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:a5e7cd1a7d2140690e975d5922a026257fb7e827ff2d9a45a1458da466a0615f","target":"record","created_at":"2026-07-05T09:09:05Z","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":"0e295e847c5a9c94472be29d8d9c1f52ba69502b92ec6b835fe94e1184083b40","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-08T23:23:28Z","title_canon_sha256":"bd71aaf75a9f4fb886adccceed23010c085e5acc37df69700d71cdf2bd224848"},"schema_version":"1.0","source":{"id":"2406.05596","kind":"arxiv","version":2}},"canonical_sha256":"707d8dc4df7be72c37f68053f617371cbb93c17998ebc2cae46b4d1a37c6bd70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"707d8dc4df7be72c37f68053f617371cbb93c17998ebc2cae46b4d1a37c6bd70","first_computed_at":"2026-07-05T09:09:05.144408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:05.144408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1daQTD2oCqYPoM963k2XHwLXx9g4v4vfv4MOhVfjWrHpP+q2l1uGQ3BTUBhvUwv2tuhnWYLbjwMEhoPXZD6FAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:05.144932Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.05596","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5e7cd1a7d2140690e975d5922a026257fb7e827ff2d9a45a1458da466a0615f","sha256:a2b8e021a4dcce67228a3fb07efe4e834a5ec780594a60714a391f03a49597a5"],"state_sha256":"0f56818199f48334c6abb61aeefb8349c4180bddf0d5ad2d834890a8c3b1da05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0heE9ObxbkrZLGiIMNMlXkYASWVguUwkiIUXQy8mY9p/mGcCRdqSPiWaivmnFZV0eGDJFPNhbaynE19p86mzBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:21:40.032703Z","bundle_sha256":"fb80587231fc70f9e4944813eb26b69bbbd6dcbd87398c7f519acfdb429179f2"}}