{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:67NY2F3JVHB4CQJD3KSG4HNTTC","short_pith_number":"pith:67NY2F3J","schema_version":"1.0","canonical_sha256":"f7db8d1769a9c3c14123daa46e1db398abda4f669596460650c3a5866714b966","source":{"kind":"arxiv","id":"2508.04743","version":1},"attestation_state":"computed","paper":{"title":"Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG","q-bio.GN","quant-ph"],"primary_cat":"q-bio.MN","authors_text":"Debanjan Konar, Neerav Sreekumar, Richard Jiang, Vaneet Aggarwal","submitted_at":"2025-08-06T04:31:49Z","abstract_excerpt":"Understanding the molecular-level mechanisms underpinning Alzheimer's disease (AD) by studying crucial genes associated with the disease remains a challenge. Alzheimer's, being a multifactorial disease, requires understanding the gene-gene interactions underlying it for theranostics and progress. In this article, a novel attempt has been made using a quantum regression to decode how some crucial genes in the AD Amyloid Beta Precursor Protein ($APP$), Sterol regulatory element binding transcription factor 14 ($FGF14$), Yin Yang 1 ($YY1$), and Phospholipase D Family Member 3 ($PLD3$) etc. become"},"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":"2508.04743","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.MN","submitted_at":"2025-08-06T04:31:49Z","cross_cats_sorted":["cs.LG","q-bio.GN","quant-ph"],"title_canon_sha256":"c5d792bdff52f01b594c4c2c4d245aae8b00f2cc7810e1e108b57a870927f3bb","abstract_canon_sha256":"d673af48a9bcd46399c8b9f7cc5d74eaa8cd065a71aa6b1679ee4d18a9ef2afb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:01.004827Z","signature_b64":"HJQwhia/wHjDShBhpQn7OLTv7MwIFFpgLwE7JKdvaF5kYbNmmVNcXaTCyKaOtZn2xFPt3YMD/r4R3/B4kMR3Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7db8d1769a9c3c14123daa46e1db398abda4f669596460650c3a5866714b966","last_reissued_at":"2026-07-05T11:50:01.004358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:01.004358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG","q-bio.GN","quant-ph"],"primary_cat":"q-bio.MN","authors_text":"Debanjan Konar, Neerav Sreekumar, Richard Jiang, Vaneet Aggarwal","submitted_at":"2025-08-06T04:31:49Z","abstract_excerpt":"Understanding the molecular-level mechanisms underpinning Alzheimer's disease (AD) by studying crucial genes associated with the disease remains a challenge. Alzheimer's, being a multifactorial disease, requires understanding the gene-gene interactions underlying it for theranostics and progress. In this article, a novel attempt has been made using a quantum regression to decode how some crucial genes in the AD Amyloid Beta Precursor Protein ($APP$), Sterol regulatory element binding transcription factor 14 ($FGF14$), Yin Yang 1 ($YY1$), and Phospholipase D Family Member 3 ($PLD3$) etc. become"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04743","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/2508.04743/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":"2508.04743","created_at":"2026-07-05T11:50:01.004413+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.04743v1","created_at":"2026-07-05T11:50:01.004413+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04743","created_at":"2026-07-05T11:50:01.004413+00:00"},{"alias_kind":"pith_short_12","alias_value":"67NY2F3JVHB4","created_at":"2026-07-05T11:50:01.004413+00:00"},{"alias_kind":"pith_short_16","alias_value":"67NY2F3JVHB4CQJD","created_at":"2026-07-05T11:50:01.004413+00:00"},{"alias_kind":"pith_short_8","alias_value":"67NY2F3J","created_at":"2026-07-05T11:50:01.004413+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/67NY2F3JVHB4CQJD3KSG4HNTTC","json":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC.json","graph_json":"https://pith.science/api/pith-number/67NY2F3JVHB4CQJD3KSG4HNTTC/graph.json","events_json":"https://pith.science/api/pith-number/67NY2F3JVHB4CQJD3KSG4HNTTC/events.json","paper":"https://pith.science/paper/67NY2F3J"},"agent_actions":{"view_html":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC","download_json":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC.json","view_paper":"https://pith.science/paper/67NY2F3J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.04743&json=true","fetch_graph":"https://pith.science/api/pith-number/67NY2F3JVHB4CQJD3KSG4HNTTC/graph.json","fetch_events":"https://pith.science/api/pith-number/67NY2F3JVHB4CQJD3KSG4HNTTC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC/action/storage_attestation","attest_author":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC/action/author_attestation","sign_citation":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC/action/citation_signature","submit_replication":"https://pith.science/pith/67NY2F3JVHB4CQJD3KSG4HNTTC/action/replication_record"}},"created_at":"2026-07-05T11:50:01.004413+00:00","updated_at":"2026-07-05T11:50:01.004413+00:00"}