{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WLVLUYDC5G7G5SIXGZAOOIH2L7","short_pith_number":"pith:WLVLUYDC","canonical_record":{"source":{"id":"2501.01392","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-01-02T18:07:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f422f85e7fa909036abdfdaae7daead269e60b3be2cd2739fac8f90b06659fa9","abstract_canon_sha256":"2e73a5d5a2b688288d0cd12fe15bf0f8d3625100157cf407f46f0c83ce3224b4"},"schema_version":"1.0"},"canonical_sha256":"b2eaba6062e9be6ec9173640e720fa5fea541ef96cd6ba0e94b5c87470a74c68","source":{"kind":"arxiv","id":"2501.01392","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01392","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01392v1","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01392","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"pith_short_12","alias_value":"WLVLUYDC5G7G","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"pith_short_16","alias_value":"WLVLUYDC5G7G5SIX","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"pith_short_8","alias_value":"WLVLUYDC","created_at":"2026-07-05T09:56:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WLVLUYDC5G7G5SIXGZAOOIH2L7","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01392","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-01-02T18:07:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f422f85e7fa909036abdfdaae7daead269e60b3be2cd2739fac8f90b06659fa9","abstract_canon_sha256":"2e73a5d5a2b688288d0cd12fe15bf0f8d3625100157cf407f46f0c83ce3224b4"},"schema_version":"1.0"},"canonical_sha256":"b2eaba6062e9be6ec9173640e720fa5fea541ef96cd6ba0e94b5c87470a74c68","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:19.253656Z","signature_b64":"zszLlnE1gtDghZiY2LJ5WmkHAOV0K4kQli8a2jbN2y9XJE50cptj2fH+L/Ah1JiFEzoWDTIJ6qLdLx6q7EX0CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2eaba6062e9be6ec9173640e720fa5fea541ef96cd6ba0e94b5c87470a74c68","last_reissued_at":"2026-07-05T09:56:19.253182Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:19.253182Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01392","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":"2026-07-05T09:56:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ojk2IU/1tydhp5Q0oV0xuCRejZBxalpmjWtxhJ75wxi2X4aB9dvxCKbBlCZGSUFc18/EBaO6G2B4LfV2eO26Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T22:37:07.869646Z"},"content_sha256":"d6c6cb0a8a078451ab75e9fd567aab2844c5479bf9577440ded245bf8e5218da","schema_version":"1.0","event_id":"sha256:d6c6cb0a8a078451ab75e9fd567aab2844c5479bf9577440ded245bf8e5218da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WLVLUYDC5G7G5SIXGZAOOIH2L7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aaron Berliano Handoko, Huazhan Zheng, Lei Zhang, Linqi Cheng, Mingxi Chen, Minh-Son To, Shiyu Jiang, Ta Duc Huy, Vu Minh Hieu Phan, Xuyin Qi, Yang Zhao, Zeyu Zhang, Zhibin Liao, Zhiwei Zhang","submitted_at":"2025-01-02T18:07:36Z","abstract_excerpt":"Prostate cancer, a growing global health concern, necessitates precise diagnostic tools, with Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that significantly enhances diagnostic accuracy. Recent advancements in explainable AI and representation learning have significantly improved prostate cancer diagnosis by enabling automated and precise lesion classification. However, existing explainable AI methods, particularly those based on frameworks like generative adversarial networks (GANs), are predominantly developed for natural image generation, and their applicat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01392","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/2501.01392/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":"2026-07-05T09:56:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M+X768nvX5opm/YdT2znXrJB/I8YYaUbJw/6nsboxF+LHZwUwSNWcJx2texLUQxQyltX4D03qq3bOsz87eFaDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T22:37:07.869936Z"},"content_sha256":"82703ffdcc5ff2841cba657c76af8e277c66eff568b6e5cd9acc713d9fad39b0","schema_version":"1.0","event_id":"sha256:82703ffdcc5ff2841cba657c76af8e277c66eff568b6e5cd9acc713d9fad39b0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7/bundle.json","state_url":"https://pith.science/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7/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":"2026-07-31T22:37:07Z","links":{"resolver":"https://pith.science/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7","bundle":"https://pith.science/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7/bundle.json","state":"https://pith.science/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WLVLUYDC5G7G5SIXGZAOOIH2L7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WLVLUYDC5G7G5SIXGZAOOIH2L7","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":"2e73a5d5a2b688288d0cd12fe15bf0f8d3625100157cf407f46f0c83ce3224b4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-01-02T18:07:36Z","title_canon_sha256":"f422f85e7fa909036abdfdaae7daead269e60b3be2cd2739fac8f90b06659fa9"},"schema_version":"1.0","source":{"id":"2501.01392","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01392","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01392v1","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01392","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"pith_short_12","alias_value":"WLVLUYDC5G7G","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"pith_short_16","alias_value":"WLVLUYDC5G7G5SIX","created_at":"2026-07-05T09:56:19Z"},{"alias_kind":"pith_short_8","alias_value":"WLVLUYDC","created_at":"2026-07-05T09:56:19Z"}],"graph_snapshots":[{"event_id":"sha256:82703ffdcc5ff2841cba657c76af8e277c66eff568b6e5cd9acc713d9fad39b0","target":"graph","created_at":"2026-07-05T09:56:19Z","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/2501.01392/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prostate cancer, a growing global health concern, necessitates precise diagnostic tools, with Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that significantly enhances diagnostic accuracy. Recent advancements in explainable AI and representation learning have significantly improved prostate cancer diagnosis by enabling automated and precise lesion classification. However, existing explainable AI methods, particularly those based on frameworks like generative adversarial networks (GANs), are predominantly developed for natural image generation, and their applicat","authors_text":"Aaron Berliano Handoko, Huazhan Zheng, Lei Zhang, Linqi Cheng, Mingxi Chen, Minh-Son To, Shiyu Jiang, Ta Duc Huy, Vu Minh Hieu Phan, Xuyin Qi, Yang Zhao, Zeyu Zhang, Zhibin Liao, Zhiwei Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-01-02T18:07:36Z","title":"ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01392","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:d6c6cb0a8a078451ab75e9fd567aab2844c5479bf9577440ded245bf8e5218da","target":"record","created_at":"2026-07-05T09:56:19Z","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":"2e73a5d5a2b688288d0cd12fe15bf0f8d3625100157cf407f46f0c83ce3224b4","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2025-01-02T18:07:36Z","title_canon_sha256":"f422f85e7fa909036abdfdaae7daead269e60b3be2cd2739fac8f90b06659fa9"},"schema_version":"1.0","source":{"id":"2501.01392","kind":"arxiv","version":1}},"canonical_sha256":"b2eaba6062e9be6ec9173640e720fa5fea541ef96cd6ba0e94b5c87470a74c68","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2eaba6062e9be6ec9173640e720fa5fea541ef96cd6ba0e94b5c87470a74c68","first_computed_at":"2026-07-05T09:56:19.253182Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:19.253182Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zszLlnE1gtDghZiY2LJ5WmkHAOV0K4kQli8a2jbN2y9XJE50cptj2fH+L/Ah1JiFEzoWDTIJ6qLdLx6q7EX0CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:19.253656Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01392","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6c6cb0a8a078451ab75e9fd567aab2844c5479bf9577440ded245bf8e5218da","sha256:82703ffdcc5ff2841cba657c76af8e277c66eff568b6e5cd9acc713d9fad39b0"],"state_sha256":"cd56e627fd2179e90a8950ff9e034d66be5dec0dc73837893c57cd5f65d5b989"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EjqM5TStRniSUkgipbXobnMX6Su0bQpCo9J8bdf1uTkd5pO5cPf0EsEx0kO/RddTV1Z6tDjSkVXUDzzLw/hlAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T22:37:07.871976Z","bundle_sha256":"7f554ea6c91e2608275469e037d66a1d55b1b2781eb82808ce3d194a63feaaed"}}