{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QTFYZIPL7WBWKDUJ53FVRQSVZ5","short_pith_number":"pith:QTFYZIPL","schema_version":"1.0","canonical_sha256":"84cb8ca1ebfd83650e89eecb58c255cf492d8530c7136a040b816e29c4b443c7","source":{"kind":"arxiv","id":"2606.02785","version":1},"attestation_state":"computed","paper":{"title":"QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["hep-ex","physics.atom-ph","quant-ph"],"primary_cat":"cs.LG","authors_text":"Aritra Bal, Benedikt Maier, Markus Klute, Michael Binder, Michael Spannowsky","submitted_at":"2026-06-01T18:50:28Z","abstract_excerpt":"Large machine learning models benefit substantially from multimodal inputs that provide a complementary view of the same example. We introduce QUIVER (QUantum-Informed Views for Enhanced Representations, a paradigm that enriches classical data-driven features with a quantum Fisher view: a geometrically motivated, basis-independent summary of higher-order correlations captured by a variational quantum circuit (VQC) trained to perform the same task. Unlike classical feature augmentation, the quantum Fisher information matrix encodes the intrinsic geometry of the learned quantum state manifold. W"},"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":"2606.02785","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T18:50:28Z","cross_cats_sorted":["hep-ex","physics.atom-ph","quant-ph"],"title_canon_sha256":"338871493d7eace5706e1d0cf3ef87357da7b463a9679494babb0866b6dae46f","abstract_canon_sha256":"5ee36808be22b0c5d4a0021b00ed769a5554eef83e1198c9ff8e0e8f49f192a2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:21.679954Z","signature_b64":"vulu3oirA/3h+Gxa9rTMX38ikGXD0goXl8GGXWoQAS6PvUkEU9WC2pMbA8z5QWFPfMR0yAz/H4NhL2d7zfhUBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84cb8ca1ebfd83650e89eecb58c255cf492d8530c7136a040b816e29c4b443c7","last_reissued_at":"2026-06-03T01:05:21.679474Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:21.679474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["hep-ex","physics.atom-ph","quant-ph"],"primary_cat":"cs.LG","authors_text":"Aritra Bal, Benedikt Maier, Markus Klute, Michael Binder, Michael Spannowsky","submitted_at":"2026-06-01T18:50:28Z","abstract_excerpt":"Large machine learning models benefit substantially from multimodal inputs that provide a complementary view of the same example. We introduce QUIVER (QUantum-Informed Views for Enhanced Representations, a paradigm that enriches classical data-driven features with a quantum Fisher view: a geometrically motivated, basis-independent summary of higher-order correlations captured by a variational quantum circuit (VQC) trained to perform the same task. Unlike classical feature augmentation, the quantum Fisher information matrix encodes the intrinsic geometry of the learned quantum state manifold. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02785","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/2606.02785/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":"2606.02785","created_at":"2026-06-03T01:05:21.679534+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.02785v1","created_at":"2026-06-03T01:05:21.679534+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02785","created_at":"2026-06-03T01:05:21.679534+00:00"},{"alias_kind":"pith_short_12","alias_value":"QTFYZIPL7WBW","created_at":"2026-06-03T01:05:21.679534+00:00"},{"alias_kind":"pith_short_16","alias_value":"QTFYZIPL7WBWKDUJ","created_at":"2026-06-03T01:05:21.679534+00:00"},{"alias_kind":"pith_short_8","alias_value":"QTFYZIPL","created_at":"2026-06-03T01:05:21.679534+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/QTFYZIPL7WBWKDUJ53FVRQSVZ5","json":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5.json","graph_json":"https://pith.science/api/pith-number/QTFYZIPL7WBWKDUJ53FVRQSVZ5/graph.json","events_json":"https://pith.science/api/pith-number/QTFYZIPL7WBWKDUJ53FVRQSVZ5/events.json","paper":"https://pith.science/paper/QTFYZIPL"},"agent_actions":{"view_html":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5","download_json":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5.json","view_paper":"https://pith.science/paper/QTFYZIPL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.02785&json=true","fetch_graph":"https://pith.science/api/pith-number/QTFYZIPL7WBWKDUJ53FVRQSVZ5/graph.json","fetch_events":"https://pith.science/api/pith-number/QTFYZIPL7WBWKDUJ53FVRQSVZ5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5/action/storage_attestation","attest_author":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5/action/author_attestation","sign_citation":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5/action/citation_signature","submit_replication":"https://pith.science/pith/QTFYZIPL7WBWKDUJ53FVRQSVZ5/action/replication_record"}},"created_at":"2026-06-03T01:05:21.679534+00:00","updated_at":"2026-06-03T01:05:21.679534+00:00"}