{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:DWLZ6U2JKBBYEQ7E3VQ26X5SSF","short_pith_number":"pith:DWLZ6U2J","schema_version":"1.0","canonical_sha256":"1d979f534950438243e4dd61af5fb291699f2214310f36bc286295cd07c90f71","source":{"kind":"arxiv","id":"2606.26373","version":1},"attestation_state":"computed","paper":{"title":"Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CR","authors_text":"Sergey Kurilenko","submitted_at":"2026-06-24T20:50:58Z","abstract_excerpt":"Dense embeddings power semantic search and retrieval-augmented generation, but embedding-inversion attacks can reconstruct source text from a vector: when a vector database leaks, the documents behind it leak too. The textbook defences are extremes - encrypting the whole search homomorphically is sound but too slow at million-document scale, while privacy noise degrades ranking long before it protects. We study a middle path exploiting the asymmetry between the static collection and the dynamic query. The collection is protected geometrically: each vector is truncated onto a lower-dimensional "},"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":"2606.26373","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-06-24T20:50:58Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"f9e0252023fd31a4370761544cfbf7976960a53d5487f0fa4ab35acbbde4015c","abstract_canon_sha256":"b630d3459eb60c90ad33ea2ad9745d7dd23f084408e7019a5716a394a118f50f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T00:15:38.417419Z","signature_b64":"X6pFSwGBZi8FO8WMFet2iGKrClnmoIDZBtXsXVMOFSIuU6hi1GyW56vj/z7U1fOmPQJApAabYwtBHVugKEXsDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d979f534950438243e4dd61af5fb291699f2214310f36bc286295cd07c90f71","last_reissued_at":"2026-06-26T00:15:38.417046Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T00:15:38.417046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CR","authors_text":"Sergey Kurilenko","submitted_at":"2026-06-24T20:50:58Z","abstract_excerpt":"Dense embeddings power semantic search and retrieval-augmented generation, but embedding-inversion attacks can reconstruct source text from a vector: when a vector database leaks, the documents behind it leak too. The textbook defences are extremes - encrypting the whole search homomorphically is sound but too slow at million-document scale, while privacy noise degrades ranking long before it protects. We study a middle path exploiting the asymmetry between the static collection and the dynamic query. The collection is protected geometrically: each vector is truncated onto a lower-dimensional "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26373","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/2606.26373/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":"2606.26373","created_at":"2026-06-26T00:15:38.417101+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.26373v1","created_at":"2026-06-26T00:15:38.417101+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26373","created_at":"2026-06-26T00:15:38.417101+00:00"},{"alias_kind":"pith_short_12","alias_value":"DWLZ6U2JKBBY","created_at":"2026-06-26T00:15:38.417101+00:00"},{"alias_kind":"pith_short_16","alias_value":"DWLZ6U2JKBBYEQ7E","created_at":"2026-06-26T00:15:38.417101+00:00"},{"alias_kind":"pith_short_8","alias_value":"DWLZ6U2J","created_at":"2026-06-26T00:15:38.417101+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/DWLZ6U2JKBBYEQ7E3VQ26X5SSF","json":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF.json","graph_json":"https://pith.science/api/pith-number/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/graph.json","events_json":"https://pith.science/api/pith-number/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/events.json","paper":"https://pith.science/paper/DWLZ6U2J"},"agent_actions":{"view_html":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF","download_json":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF.json","view_paper":"https://pith.science/paper/DWLZ6U2J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.26373&json=true","fetch_graph":"https://pith.science/api/pith-number/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/graph.json","fetch_events":"https://pith.science/api/pith-number/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/action/storage_attestation","attest_author":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/action/author_attestation","sign_citation":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/action/citation_signature","submit_replication":"https://pith.science/pith/DWLZ6U2JKBBYEQ7E3VQ26X5SSF/action/replication_record"}},"created_at":"2026-06-26T00:15:38.417101+00:00","updated_at":"2026-06-26T00:15:38.417101+00:00"}