{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2BMECLDEVMH4CO2OM4F7C23Y23","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":"8b4843be804183d598c815d44ec499974b738a8667e795f06a88240ca325f827","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-28T07:06:42Z","title_canon_sha256":"8ce13f5e9f691de3dede74b88a90867922a3376070b5a302b1a9b836e5c7a2b1"},"schema_version":"1.0","source":{"id":"2309.16206","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16206","created_at":"2026-07-05T06:57:26Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16206v2","created_at":"2026-07-05T06:57:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16206","created_at":"2026-07-05T06:57:26Z"},{"alias_kind":"pith_short_12","alias_value":"2BMECLDEVMH4","created_at":"2026-07-05T06:57:26Z"},{"alias_kind":"pith_short_16","alias_value":"2BMECLDEVMH4CO2O","created_at":"2026-07-05T06:57:26Z"},{"alias_kind":"pith_short_8","alias_value":"2BMECLDE","created_at":"2026-07-05T06:57:26Z"}],"graph_snapshots":[{"event_id":"sha256:ae56b21e6c300f092c1fac3a63f02abb0daaa8e770acb7bd0ede4ebe0cbb375b","target":"graph","created_at":"2026-07-05T06:57:26Z","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/2309.16206/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fusing structural-functional images of the brain has shown great potential to analyze the deterioration of Alzheimer's disease (AD). However, it is a big challenge to effectively fuse the correlated and complementary information from multimodal neuroimages. In this paper, a novel model termed cross-modal transformer generative adversarial network (CT-GAN) is proposed to effectively fuse the functional and structural information contained in functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI). The CT-GAN can learn topological features and generate multimodal connecti","authors_text":"Junren Pan, Qiankun Zuo, Shuqiang Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-28T07:06:42Z","title":"Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16206","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":"sha256:0355dc4b64a78ebc54d75a294dae5c1f06d18b9540c19bf4a7999a0e1a84f3b9","target":"record","created_at":"2026-07-05T06:57:26Z","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":"8b4843be804183d598c815d44ec499974b738a8667e795f06a88240ca325f827","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-28T07:06:42Z","title_canon_sha256":"8ce13f5e9f691de3dede74b88a90867922a3376070b5a302b1a9b836e5c7a2b1"},"schema_version":"1.0","source":{"id":"2309.16206","kind":"arxiv","version":2}},"canonical_sha256":"d058412c64ab0fc13b4e670bf16b78d6c19878bfab8bc384fe0ca9858158117e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d058412c64ab0fc13b4e670bf16b78d6c19878bfab8bc384fe0ca9858158117e","first_computed_at":"2026-07-05T06:57:26.811747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:26.811747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JTRNVRJrH3cz6A4W+7ZOPYcePGBO1a7YYK8tUuDm7ll3Dgar761aedjWQo3nD8QP+aBoUfITwV1WtUI4s21wCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:26.812183Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.16206","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0355dc4b64a78ebc54d75a294dae5c1f06d18b9540c19bf4a7999a0e1a84f3b9","sha256:ae56b21e6c300f092c1fac3a63f02abb0daaa8e770acb7bd0ede4ebe0cbb375b"],"state_sha256":"f56cb72810c943afbd0ce8355c94bbad9755786d9f4dba5f49af49d8331b34b0"}