{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:O4OQ4AXKYRVLVEPOF7PXUYQWBO","short_pith_number":"pith:O4OQ4AXK","canonical_record":{"source":{"id":"2607.22770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-24T04:26:47Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"425d1f42566fa2334e47a4ca0ee444818baa2594b361f7638da1c8aec6f39eb1","abstract_canon_sha256":"86d85aa4cb81e20b5b2c0de8d8f143be81be2aa4afcee0ad609b369602963fc2"},"schema_version":"1.0"},"canonical_sha256":"771d0e02eac46aba91ee2fdf7a62160b808367a81e42cd74e0b023ffedef9cb4","source":{"kind":"arxiv","id":"2607.22770","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22770","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22770v1","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22770","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"pith_short_12","alias_value":"O4OQ4AXKYRVL","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"pith_short_16","alias_value":"O4OQ4AXKYRVLVEPO","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"pith_short_8","alias_value":"O4OQ4AXK","created_at":"2026-07-28T00:21:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:O4OQ4AXKYRVLVEPOF7PXUYQWBO","target":"record","payload":{"canonical_record":{"source":{"id":"2607.22770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-24T04:26:47Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"425d1f42566fa2334e47a4ca0ee444818baa2594b361f7638da1c8aec6f39eb1","abstract_canon_sha256":"86d85aa4cb81e20b5b2c0de8d8f143be81be2aa4afcee0ad609b369602963fc2"},"schema_version":"1.0"},"canonical_sha256":"771d0e02eac46aba91ee2fdf7a62160b808367a81e42cd74e0b023ffedef9cb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T00:21:53.521370Z","signature_b64":"/+431S+pWVtbPIwG7wV+8Q8R4IXnzs263zcyk6T1UMg7wmWYEQE9T4JhgzUXpmHZYsxlc4UU0hZbbs0NxDFQBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"771d0e02eac46aba91ee2fdf7a62160b808367a81e42cd74e0b023ffedef9cb4","last_reissued_at":"2026-07-28T00:21:53.520529Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T00:21:53.520529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.22770","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":"2026-07-28T00:21:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"St2HcmQzdIN1A7cgA0T6Xm1NKoC+EMI/YwchCzDrzR/3dz1rq8xDrv/QrRRnqmGnxhpF813byACO+huTyyXMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:19:57.828961Z"},"content_sha256":"5bdd70cef16b04a3a8305967f202c14a69de2a97c37282b6f453e03a671e633e","schema_version":"1.0","event_id":"sha256:5bdd70cef16b04a3a8305967f202c14a69de2a97c37282b6f453e03a671e633e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:O4OQ4AXKYRVLVEPOF7PXUYQWBO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Dongsheng Li, Jiangchao Yao, Lili Qiu, Mengxi Chen, Siyuan Du, Xinyang Jiang, Yanfeng Wang, Ya Zhang, Zilong Wang","submitted_at":"2026-07-24T04:26:47Z","abstract_excerpt":"Although artificial intelligence (AI) has shown promising performance in several medical tasks, accurate dementia etiology diagnosis with AI remains challenging due to complex overlapping symptoms among diseases. Scaling up the dataset size by combining the cross-center samples may bring a gain in the pursuit of performance, while the inherent data heterogeneity across centers or populations induces the conflict. Conventional multi-task learning paradigms offer a promising framework; however, they fail to consider critical meta information (e.g., site-specific acquisition and modality availabi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22770","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/2607.22770/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":"2026-07-28T00:21:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lMH/foc+cSyokQGUx9Cb94ICbjvz8hj/1M6vw6m0gZ2IkKJq0a58h9eyRc8HHeUnOwcZVsWHZg83c2bBvon5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:19:57.829532Z"},"content_sha256":"d5dd35fbebaf2bd1bb0e8ba85bc52aa415a7e90ae7bfa79c7a24f6fe15cc51ab","schema_version":"1.0","event_id":"sha256:d5dd35fbebaf2bd1bb0e8ba85bc52aa415a7e90ae7bfa79c7a24f6fe15cc51ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO/bundle.json","state_url":"https://pith.science/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO/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":"2026-08-07T12:19:57Z","links":{"resolver":"https://pith.science/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO","bundle":"https://pith.science/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO/bundle.json","state":"https://pith.science/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O4OQ4AXKYRVLVEPOF7PXUYQWBO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:O4OQ4AXKYRVLVEPOF7PXUYQWBO","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":"86d85aa4cb81e20b5b2c0de8d8f143be81be2aa4afcee0ad609b369602963fc2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-24T04:26:47Z","title_canon_sha256":"425d1f42566fa2334e47a4ca0ee444818baa2594b361f7638da1c8aec6f39eb1"},"schema_version":"1.0","source":{"id":"2607.22770","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22770","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22770v1","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22770","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"pith_short_12","alias_value":"O4OQ4AXKYRVL","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"pith_short_16","alias_value":"O4OQ4AXKYRVLVEPO","created_at":"2026-07-28T00:21:53Z"},{"alias_kind":"pith_short_8","alias_value":"O4OQ4AXK","created_at":"2026-07-28T00:21:53Z"}],"graph_snapshots":[{"event_id":"sha256:d5dd35fbebaf2bd1bb0e8ba85bc52aa415a7e90ae7bfa79c7a24f6fe15cc51ab","target":"graph","created_at":"2026-07-28T00:21:53Z","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/2607.22770/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although artificial intelligence (AI) has shown promising performance in several medical tasks, accurate dementia etiology diagnosis with AI remains challenging due to complex overlapping symptoms among diseases. Scaling up the dataset size by combining the cross-center samples may bring a gain in the pursuit of performance, while the inherent data heterogeneity across centers or populations induces the conflict. Conventional multi-task learning paradigms offer a promising framework; however, they fail to consider critical meta information (e.g., site-specific acquisition and modality availabi","authors_text":"Dongsheng Li, Jiangchao Yao, Lili Qiu, Mengxi Chen, Siyuan Du, Xinyang Jiang, Yanfeng Wang, Ya Zhang, Zilong Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-24T04:26:47Z","title":"Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22770","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":"sha256:5bdd70cef16b04a3a8305967f202c14a69de2a97c37282b6f453e03a671e633e","target":"record","created_at":"2026-07-28T00:21:53Z","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":"86d85aa4cb81e20b5b2c0de8d8f143be81be2aa4afcee0ad609b369602963fc2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-24T04:26:47Z","title_canon_sha256":"425d1f42566fa2334e47a4ca0ee444818baa2594b361f7638da1c8aec6f39eb1"},"schema_version":"1.0","source":{"id":"2607.22770","kind":"arxiv","version":1}},"canonical_sha256":"771d0e02eac46aba91ee2fdf7a62160b808367a81e42cd74e0b023ffedef9cb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"771d0e02eac46aba91ee2fdf7a62160b808367a81e42cd74e0b023ffedef9cb4","first_computed_at":"2026-07-28T00:21:53.520529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T00:21:53.520529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/+431S+pWVtbPIwG7wV+8Q8R4IXnzs263zcyk6T1UMg7wmWYEQE9T4JhgzUXpmHZYsxlc4UU0hZbbs0NxDFQBg==","signature_status":"signed_v1","signed_at":"2026-07-28T00:21:53.521370Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22770","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5bdd70cef16b04a3a8305967f202c14a69de2a97c37282b6f453e03a671e633e","sha256:d5dd35fbebaf2bd1bb0e8ba85bc52aa415a7e90ae7bfa79c7a24f6fe15cc51ab"],"state_sha256":"46ab7f02f7bb04ad4beb9987c14c69cc0c1d158c9b533889ce5243ca5becf160"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UrGHyR4My4SR65Se2A0tsKZKqNon9kcuwSFxPwV2pnD3upKU6hr2tSOVm90NAlhp16MLGug8XB0MFN9MUaOLBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:19:57.834221Z","bundle_sha256":"b797a51049a67a1b353ab1d2455eb611a5b657a77221c3356bd9cabb9749842b"}}