{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:JXA2CJGJ5AS4ZQY4GVUGM2GYWK","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":"581362a974766826eee26fe55ae768d73d76f50f8de60eb20e7c8c26e81e72ee","cross_cats_sorted":["q-bio.NC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-02T02:55:16Z","title_canon_sha256":"ffa7fe36ed2c3b33702fb8a0e353c0c39ccc4b27e8134852132fbadf91c15882"},"schema_version":"1.0","source":{"id":"1607.00455","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.00455","created_at":"2026-05-18T00:58:56Z"},{"alias_kind":"arxiv_version","alias_value":"1607.00455v1","created_at":"2026-05-18T00:58:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.00455","created_at":"2026-05-18T00:58:56Z"},{"alias_kind":"pith_short_12","alias_value":"JXA2CJGJ5AS4","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JXA2CJGJ5AS4ZQY4","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JXA2CJGJ","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:e00a9112cb5356c81dcd537eba761b2a864cab662aed15827cbfe3d87e18a092","target":"graph","created_at":"2026-05-18T00:58:56Z","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"},"paper":{"abstract_excerpt":"Early diagnosis, playing an important role in preventing progress and treating the Alzheimer\\{'}s disease (AD), is based on classification of features extracted from brain images. The features have to accurately capture main AD-related variations of anatomical brain structures, such as, e.g., ventricles size, hippocampus shape, cortical thickness, and brain volume. This paper proposed to predict the AD with a deep 3D convolutional neural network (3D-CNN), which can learn generic features capturing AD biomarkers and adapt to different domain datasets. The 3D-CNN is built upon a 3D convolutional","authors_text":"Ayman El-Baz, Ehsan Hosseini-Asl, Robert Keynto","cross_cats":["q-bio.NC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-02T02:55:16Z","title":"Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.00455","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:c73963732630c853bf8edffed9c9c3f317b4ec08416599743c69b977396086c9","target":"record","created_at":"2026-05-18T00:58:56Z","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":"581362a974766826eee26fe55ae768d73d76f50f8de60eb20e7c8c26e81e72ee","cross_cats_sorted":["q-bio.NC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-07-02T02:55:16Z","title_canon_sha256":"ffa7fe36ed2c3b33702fb8a0e353c0c39ccc4b27e8134852132fbadf91c15882"},"schema_version":"1.0","source":{"id":"1607.00455","kind":"arxiv","version":1}},"canonical_sha256":"4dc1a124c9e825ccc31c35686668d8b29d60e40f2769abad6d9f5be4c1e95358","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4dc1a124c9e825ccc31c35686668d8b29d60e40f2769abad6d9f5be4c1e95358","first_computed_at":"2026-05-18T00:58:56.702007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:56.702007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u//hd2mFVvK4tlcTTT8xEq2Vuz17ipg+vIcYzh4gvtjuY0Qozxpmg9sBpkHo8rSxb+R52xjQvN+jvUu44Hc9Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:56.702539Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.00455","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c73963732630c853bf8edffed9c9c3f317b4ec08416599743c69b977396086c9","sha256:e00a9112cb5356c81dcd537eba761b2a864cab662aed15827cbfe3d87e18a092"],"state_sha256":"e8d3ae4e5817082d59013b27466f2911b1e471042cfd1c995ace4dbca89138c4"}