{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:Z2FTX5HLFAONAJYOWGKDQV6TY2","short_pith_number":"pith:Z2FTX5HL","schema_version":"1.0","canonical_sha256":"ce8b3bf4eb281cd0270eb1943857d3c6a510a8b14ffb8b816ac383c22a375581","source":{"kind":"arxiv","id":"2511.05730","version":2},"attestation_state":"computed","paper":{"title":"QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Amin Golnari, Jamileh Yousefi, Reza Moheimani, Saeid Sanei","submitted_at":"2025-11-07T21:44:31Z","abstract_excerpt":"In this paper, a learning framework is introduced which incorporates principles of probabilistic inference, variational optimization, and geometry-preserving operations inspired by quantum transformations. The central innovation of this quantum-inspired variational convolution (QiVC) lies in its quantum-inspired rotated ensemble (QiRE) mechanism. QiRE performs differentiable low-dimensional subspace rotations of convolutional weights. By drawing a mathematical analogy from unitary evolution, this approach enables structured uncertainty modeling that respects the intrinsic geometry of the param"},"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":"2511.05730","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-07T21:44:31Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"d4169f3433d3e37f0cb2f35623c2c4f01c81b49d74a3efc61cd4ff00ab548d71","abstract_canon_sha256":"de21b6cc0b397a3b9f16f45c1f3e08a68ec586c023cde904d80dfe22d9fb15fd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:17:13.131686Z","signature_b64":"Bx6J3EW5/T8mUwCHo3Qf+icFjpdKkvnI+wkW3KWiAbRQPdHteWZvFSNkvvVPG74ypn8u8lYE/24c3JTkbqH4Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce8b3bf4eb281cd0270eb1943857d3c6a510a8b14ffb8b816ac383c22a375581","last_reissued_at":"2026-07-07T02:17:13.126444Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:17:13.126444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Amin Golnari, Jamileh Yousefi, Reza Moheimani, Saeid Sanei","submitted_at":"2025-11-07T21:44:31Z","abstract_excerpt":"In this paper, a learning framework is introduced which incorporates principles of probabilistic inference, variational optimization, and geometry-preserving operations inspired by quantum transformations. The central innovation of this quantum-inspired variational convolution (QiVC) lies in its quantum-inspired rotated ensemble (QiRE) mechanism. QiRE performs differentiable low-dimensional subspace rotations of convolutional weights. By drawing a mathematical analogy from unitary evolution, this approach enables structured uncertainty modeling that respects the intrinsic geometry of the param"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.05730","kind":"arxiv","version":2},"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/2511.05730/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":"2511.05730","created_at":"2026-07-07T02:17:13.126566+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.05730v2","created_at":"2026-07-07T02:17:13.126566+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.05730","created_at":"2026-07-07T02:17:13.126566+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z2FTX5HLFAON","created_at":"2026-07-07T02:17:13.126566+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z2FTX5HLFAONAJYO","created_at":"2026-07-07T02:17:13.126566+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z2FTX5HL","created_at":"2026-07-07T02:17:13.126566+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/Z2FTX5HLFAONAJYOWGKDQV6TY2","json":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2.json","graph_json":"https://pith.science/api/pith-number/Z2FTX5HLFAONAJYOWGKDQV6TY2/graph.json","events_json":"https://pith.science/api/pith-number/Z2FTX5HLFAONAJYOWGKDQV6TY2/events.json","paper":"https://pith.science/paper/Z2FTX5HL"},"agent_actions":{"view_html":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2","download_json":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2.json","view_paper":"https://pith.science/paper/Z2FTX5HL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.05730&json=true","fetch_graph":"https://pith.science/api/pith-number/Z2FTX5HLFAONAJYOWGKDQV6TY2/graph.json","fetch_events":"https://pith.science/api/pith-number/Z2FTX5HLFAONAJYOWGKDQV6TY2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2/action/storage_attestation","attest_author":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2/action/author_attestation","sign_citation":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2/action/citation_signature","submit_replication":"https://pith.science/pith/Z2FTX5HLFAONAJYOWGKDQV6TY2/action/replication_record"}},"created_at":"2026-07-07T02:17:13.126566+00:00","updated_at":"2026-07-07T02:17:13.126566+00:00"}