{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:7DN62W23XQGEJCP3CUKEYJ7FWY","short_pith_number":"pith:7DN62W23","schema_version":"1.0","canonical_sha256":"f8dbed5b5bbc0c4489fb15144c27e5b61c63427af5ed08d6690908b91934fb0c","source":{"kind":"arxiv","id":"2510.08419","version":2},"attestation_state":"computed","paper":{"title":"Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Di Luo, Lixing Zhang, Xi Huang","submitted_at":"2025-10-09T16:37:47Z","abstract_excerpt":"Characterizing continuous-variable (CV) Hamiltonians can be formulated as Hamiltonian learning under quantum measurement constraints: finite operator coefficients are inferred from noisy measurement outcomes obtained by probing an infinite-dimensional system. Existing Heisenberg-limited CV protocols are often limited to low-order structures, vulnerable to noise, or unresolved for generic multi-mode settings. We introduce Displacement-Random Unitary Transformation (D-RUT), an active data acquisition protocol with pre-specified probes and number-preserving transformations that reduce finite-orde"},"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":"2510.08419","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-10-09T16:37:47Z","cross_cats_sorted":[],"title_canon_sha256":"b7aae4f246c287fb655148de79727f73910a02b118a1c549088b6842e64cfaf8","abstract_canon_sha256":"f4319aaeb28bcfcf539e861edd1e9f8117c8ca594e03c11340441cc14442ff95"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:35.125650Z","signature_b64":"+xG81/AcWGYRCGIF7wMOIG5h/t2qxItr51LHl1ugCdQs0wsgrwxCR0A8f3bXV35a5GDY/dCbH8r8RRCzGQwoDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8dbed5b5bbc0c4489fb15144c27e5b61c63427af5ed08d6690908b91934fb0c","last_reissued_at":"2026-06-02T01:03:35.124977Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:35.124977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Di Luo, Lixing Zhang, Xi Huang","submitted_at":"2025-10-09T16:37:47Z","abstract_excerpt":"Characterizing continuous-variable (CV) Hamiltonians can be formulated as Hamiltonian learning under quantum measurement constraints: finite operator coefficients are inferred from noisy measurement outcomes obtained by probing an infinite-dimensional system. Existing Heisenberg-limited CV protocols are often limited to low-order structures, vulnerable to noise, or unresolved for generic multi-mode settings. We introduce Displacement-Random Unitary Transformation (D-RUT), an active data acquisition protocol with pre-specified probes and number-preserving transformations that reduce finite-orde"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.08419","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/2510.08419/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":"2510.08419","created_at":"2026-06-02T01:03:35.125060+00:00"},{"alias_kind":"arxiv_version","alias_value":"2510.08419v2","created_at":"2026-06-02T01:03:35.125060+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.08419","created_at":"2026-06-02T01:03:35.125060+00:00"},{"alias_kind":"pith_short_12","alias_value":"7DN62W23XQGE","created_at":"2026-06-02T01:03:35.125060+00:00"},{"alias_kind":"pith_short_16","alias_value":"7DN62W23XQGEJCP3","created_at":"2026-06-02T01:03:35.125060+00:00"},{"alias_kind":"pith_short_8","alias_value":"7DN62W23","created_at":"2026-06-02T01:03:35.125060+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/7DN62W23XQGEJCP3CUKEYJ7FWY","json":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY.json","graph_json":"https://pith.science/api/pith-number/7DN62W23XQGEJCP3CUKEYJ7FWY/graph.json","events_json":"https://pith.science/api/pith-number/7DN62W23XQGEJCP3CUKEYJ7FWY/events.json","paper":"https://pith.science/paper/7DN62W23"},"agent_actions":{"view_html":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY","download_json":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY.json","view_paper":"https://pith.science/paper/7DN62W23","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2510.08419&json=true","fetch_graph":"https://pith.science/api/pith-number/7DN62W23XQGEJCP3CUKEYJ7FWY/graph.json","fetch_events":"https://pith.science/api/pith-number/7DN62W23XQGEJCP3CUKEYJ7FWY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY/action/storage_attestation","attest_author":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY/action/author_attestation","sign_citation":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY/action/citation_signature","submit_replication":"https://pith.science/pith/7DN62W23XQGEJCP3CUKEYJ7FWY/action/replication_record"}},"created_at":"2026-06-02T01:03:35.125060+00:00","updated_at":"2026-06-02T01:03:35.125060+00:00"}