{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QDMFVK7HO4ADUQDZC7HTNHKAXV","short_pith_number":"pith:QDMFVK7H","schema_version":"1.0","canonical_sha256":"80d85aabe777003a407917cf369d40bd56be489ede271e310210f8ca68d4ada1","source":{"kind":"arxiv","id":"2202.08712","version":4},"attestation_state":"computed","paper":{"title":"Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Cui Tao, Fang Li, Jingcheng Du, Jingna Feng, Rui Zhang, Xinyue Hu, Yi Nian, Yong Chen","submitted_at":"2022-02-17T15:33:27Z","abstract_excerpt":"To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and have been successfully leveraged in many biomedical applications including drug repurposing. Our objective is to construct a knowledge graph from literature to study relations between Alzheimer's disease (AD) and chemicals, drugs and dietary supplements in order to identify opportunities to prevent or delay neurodegenerative progression. We collected biomedical annotations and extracted their relations using SemRep vi"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2202.08712","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2022-02-17T15:33:27Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"31199eb62497ae749953124a4dec1606a836d8f40051ab8425883ebf8194cca0","abstract_canon_sha256":"79b9742daf5d13161f41cc5ec1bdb8962f305247e54d3c70964a7ee80b8503b6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:20:10.122528Z","signature_b64":"qkLlHhe9KnKsoavV60l7rHjQK2kV0+YLfaWcUwC484WkwTZenhYG4m4hENijZFM7b7s9ea1idwfO2SGPQFgtBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80d85aabe777003a407917cf369d40bd56be489ede271e310210f8ca68d4ada1","last_reissued_at":"2026-07-05T05:20:10.122028Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:20:10.122028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Cui Tao, Fang Li, Jingcheng Du, Jingna Feng, Rui Zhang, Xinyue Hu, Yi Nian, Yong Chen","submitted_at":"2022-02-17T15:33:27Z","abstract_excerpt":"To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and have been successfully leveraged in many biomedical applications including drug repurposing. Our objective is to construct a knowledge graph from literature to study relations between Alzheimer's disease (AD) and chemicals, drugs and dietary supplements in order to identify opportunities to prevent or delay neurodegenerative progression. We collected biomedical annotations and extracted their relations using SemRep vi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08712","kind":"arxiv","version":4},"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/2202.08712/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2202.08712","created_at":"2026-07-05T05:20:10.122086+00:00"},{"alias_kind":"arxiv_version","alias_value":"2202.08712v4","created_at":"2026-07-05T05:20:10.122086+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08712","created_at":"2026-07-05T05:20:10.122086+00:00"},{"alias_kind":"pith_short_12","alias_value":"QDMFVK7HO4AD","created_at":"2026-07-05T05:20:10.122086+00:00"},{"alias_kind":"pith_short_16","alias_value":"QDMFVK7HO4ADUQDZ","created_at":"2026-07-05T05:20:10.122086+00:00"},{"alias_kind":"pith_short_8","alias_value":"QDMFVK7H","created_at":"2026-07-05T05:20:10.122086+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV","json":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV.json","graph_json":"https://pith.science/api/pith-number/QDMFVK7HO4ADUQDZC7HTNHKAXV/graph.json","events_json":"https://pith.science/api/pith-number/QDMFVK7HO4ADUQDZC7HTNHKAXV/events.json","paper":"https://pith.science/paper/QDMFVK7H"},"agent_actions":{"view_html":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV","download_json":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV.json","view_paper":"https://pith.science/paper/QDMFVK7H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2202.08712&json=true","fetch_graph":"https://pith.science/api/pith-number/QDMFVK7HO4ADUQDZC7HTNHKAXV/graph.json","fetch_events":"https://pith.science/api/pith-number/QDMFVK7HO4ADUQDZC7HTNHKAXV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV/action/storage_attestation","attest_author":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV/action/author_attestation","sign_citation":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV/action/citation_signature","submit_replication":"https://pith.science/pith/QDMFVK7HO4ADUQDZC7HTNHKAXV/action/replication_record"}},"created_at":"2026-07-05T05:20:10.122086+00:00","updated_at":"2026-07-05T05:20:10.122086+00:00"}