{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DZV4UAKD4GTAD7LPZL3ZE4GPWH","short_pith_number":"pith:DZV4UAKD","canonical_record":{"source":{"id":"2508.04205","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T08:37:06Z","cross_cats_sorted":[],"title_canon_sha256":"61e91726f34db028bad6cc2774c2796343d301d22a1c68135a3eec85bacc3610","abstract_canon_sha256":"cb9287dcc56e4c45c1c29b4ac3346342aabf061a9e81ae278e758df28d21beaf"},"schema_version":"1.0"},"canonical_sha256":"1e6bca0143e1a601fd6fcaf79270cfb1d5654a34136b905e11f50a9c181f6266","source":{"kind":"arxiv","id":"2508.04205","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04205","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04205v1","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04205","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"DZV4UAKD4GTA","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_16","alias_value":"DZV4UAKD4GTAD7LP","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_8","alias_value":"DZV4UAKD","created_at":"2026-07-05T11:49:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DZV4UAKD4GTAD7LPZL3ZE4GPWH","target":"record","payload":{"canonical_record":{"source":{"id":"2508.04205","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T08:37:06Z","cross_cats_sorted":[],"title_canon_sha256":"61e91726f34db028bad6cc2774c2796343d301d22a1c68135a3eec85bacc3610","abstract_canon_sha256":"cb9287dcc56e4c45c1c29b4ac3346342aabf061a9e81ae278e758df28d21beaf"},"schema_version":"1.0"},"canonical_sha256":"1e6bca0143e1a601fd6fcaf79270cfb1d5654a34136b905e11f50a9c181f6266","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:22.751035Z","signature_b64":"Lg8XqAEGpvE+UdpO6CJmPwSnU4cK7TrCYcNZ3TGRqzcoyOkXuyJ07MG1TwNig7AEzJynzZl7YssZ7aIKVG7zBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e6bca0143e1a601fd6fcaf79270cfb1d5654a34136b905e11f50a9c181f6266","last_reissued_at":"2026-07-05T11:49:22.750533Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:22.750533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.04205","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":"2026-07-05T11:49:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"99VB0/ijt9fUp2hb57GNrdL3BYZbGls6atJPjPd34pAyzjwTklAa9ITLiFAPstwAwL//kid1D+fOGeGkxG73BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:27:37.691766Z"},"content_sha256":"2a5e5ee038dee84650cbe376f83252bc097ca4ca6fec90332bbde6ed9a84f94b","schema_version":"1.0","event_id":"sha256:2a5e5ee038dee84650cbe376f83252bc097ca4ca6fec90332bbde6ed9a84f94b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DZV4UAKD4GTAD7LPZL3ZE4GPWH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmed Elazab, Changmiao Wang, Cheng Yang, Chenyu Lin, Jianxun Yu, Jikui Liu, Ruiquan Ge, Xianjun Fu, Zhipeng Wang","submitted_at":"2025-08-06T08:37:06Z","abstract_excerpt":"The diagnosis of medical diseases faces challenges such as the misdiagnosis of small lesions. Deep learning, particularly multimodal approaches, has shown great potential in the field of medical disease diagnosis. However, the differences in dimensionality between medical imaging and electronic health record data present challenges for effective alignment and fusion. To address these issues, we propose the Multimodal Multiscale Cross-Attention Fusion Network (MMCAF-Net). This model employs a feature pyramid structure combined with an efficient 3D multi-scale convolutional attention module to e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04205","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/2508.04205/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":"2026-07-05T11:49:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZLcB+nSmjAAZmJjR4yMZxTvLJ9cALXceLguKM9Okhvokzc+Ckq6wGPMuuJQQ0wQPbZ68iYDxHGbrcW11K84Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:27:37.692275Z"},"content_sha256":"e9e76eba2646b81ad9c94646540f9b67de3df7fbbbefb0e0e1f7f67fa7df27b4","schema_version":"1.0","event_id":"sha256:e9e76eba2646b81ad9c94646540f9b67de3df7fbbbefb0e0e1f7f67fa7df27b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH/bundle.json","state_url":"https://pith.science/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH/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":"2026-08-07T21:27:37Z","links":{"resolver":"https://pith.science/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH","bundle":"https://pith.science/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH/bundle.json","state":"https://pith.science/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DZV4UAKD4GTAD7LPZL3ZE4GPWH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DZV4UAKD4GTAD7LPZL3ZE4GPWH","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":"cb9287dcc56e4c45c1c29b4ac3346342aabf061a9e81ae278e758df28d21beaf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T08:37:06Z","title_canon_sha256":"61e91726f34db028bad6cc2774c2796343d301d22a1c68135a3eec85bacc3610"},"schema_version":"1.0","source":{"id":"2508.04205","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04205","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04205v1","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04205","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"DZV4UAKD4GTA","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_16","alias_value":"DZV4UAKD4GTAD7LP","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_8","alias_value":"DZV4UAKD","created_at":"2026-07-05T11:49:22Z"}],"graph_snapshots":[{"event_id":"sha256:e9e76eba2646b81ad9c94646540f9b67de3df7fbbbefb0e0e1f7f67fa7df27b4","target":"graph","created_at":"2026-07-05T11:49:22Z","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/2508.04205/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The diagnosis of medical diseases faces challenges such as the misdiagnosis of small lesions. Deep learning, particularly multimodal approaches, has shown great potential in the field of medical disease diagnosis. However, the differences in dimensionality between medical imaging and electronic health record data present challenges for effective alignment and fusion. To address these issues, we propose the Multimodal Multiscale Cross-Attention Fusion Network (MMCAF-Net). This model employs a feature pyramid structure combined with an efficient 3D multi-scale convolutional attention module to e","authors_text":"Ahmed Elazab, Changmiao Wang, Cheng Yang, Chenyu Lin, Jianxun Yu, Jikui Liu, Ruiquan Ge, Xianjun Fu, Zhipeng Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T08:37:06Z","title":"Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04205","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":"sha256:2a5e5ee038dee84650cbe376f83252bc097ca4ca6fec90332bbde6ed9a84f94b","target":"record","created_at":"2026-07-05T11:49:22Z","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":"cb9287dcc56e4c45c1c29b4ac3346342aabf061a9e81ae278e758df28d21beaf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-06T08:37:06Z","title_canon_sha256":"61e91726f34db028bad6cc2774c2796343d301d22a1c68135a3eec85bacc3610"},"schema_version":"1.0","source":{"id":"2508.04205","kind":"arxiv","version":1}},"canonical_sha256":"1e6bca0143e1a601fd6fcaf79270cfb1d5654a34136b905e11f50a9c181f6266","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e6bca0143e1a601fd6fcaf79270cfb1d5654a34136b905e11f50a9c181f6266","first_computed_at":"2026-07-05T11:49:22.750533Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:22.750533Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lg8XqAEGpvE+UdpO6CJmPwSnU4cK7TrCYcNZ3TGRqzcoyOkXuyJ07MG1TwNig7AEzJynzZl7YssZ7aIKVG7zBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:22.751035Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.04205","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a5e5ee038dee84650cbe376f83252bc097ca4ca6fec90332bbde6ed9a84f94b","sha256:e9e76eba2646b81ad9c94646540f9b67de3df7fbbbefb0e0e1f7f67fa7df27b4"],"state_sha256":"5d9e673ad4b4456f48cd65e49d0fe6cbbd771babcbd94dc4383bb99c6503fe19"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PHU06M4oaCWWa1+AXqjZYycic4KH9Y94c4NqheZiasMYRHWy68QvghU9Te60ljO+mq/QUMZ940NGhCAYwUBZBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:27:37.695930Z","bundle_sha256":"fe5d96f2aa23000aa739b7474e9ccb2ab2b7a5aeab662abf52347116d60e5dda"}}