{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NBUCXTIUAWPHAU3LSMOZ7VSMO7","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f4a387f7c5e6ed6f05d1a5cf430efa0ad7b63d5df34000a9be61661c88ae843e","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T01:54:08Z","title_canon_sha256":"93a84c6275d54b07698abfc4efe80506add10b8cf82349f14913591fc88af9c9"},"schema_version":"1.0","source":{"id":"2505.00951","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00951","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00951v1","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00951","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_12","alias_value":"NBUCXTIUAWPH","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_16","alias_value":"NBUCXTIUAWPHAU3L","created_at":"2026-07-05T10:57:42Z"},{"alias_kind":"pith_short_8","alias_value":"NBUCXTIU","created_at":"2026-07-05T10:57:42Z"}],"graph_snapshots":[{"event_id":"sha256:47207341d007d77065252eb8ad894b7bf955e71c838387c8ba234c7bdaeb772f","target":"graph","created_at":"2026-07-05T10:57:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.00951/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Model (LLM)-based recommendation systems leverage powerful language models to generate personalized suggestions by processing user interactions and preferences. Unlike traditional recommendation systems that rely on structured data and collaborative filtering, LLM-based models process textual and contextual information, often using cloud-based infrastructure. This raises privacy concerns, as user data is transmitted to remote servers, increasing the risk of exposure and reducing control over personal information. To address this, we propose a hybrid privacy-preserving recommenda","authors_text":"Dimitrios Andreadis, Jiang Zhang, Konstantinos Psounis, Tina Khezresmaeilzadeh","cross_cats":["cs.CR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T01:54:08Z","title":"Preserving Privacy and Utility in LLM-Based Product Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00951","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1a7062377261c2efe3a78586a41374edfe649e5b957474b571527e770cca2cbc","target":"record","created_at":"2026-07-05T10:57:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f4a387f7c5e6ed6f05d1a5cf430efa0ad7b63d5df34000a9be61661c88ae843e","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-02T01:54:08Z","title_canon_sha256":"93a84c6275d54b07698abfc4efe80506add10b8cf82349f14913591fc88af9c9"},"schema_version":"1.0","source":{"id":"2505.00951","kind":"arxiv","version":1}},"canonical_sha256":"68682bcd14059e70536b931d9fd64c77f280c028ebb8af349c481afc3095649c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68682bcd14059e70536b931d9fd64c77f280c028ebb8af349c481afc3095649c","first_computed_at":"2026-07-05T10:57:42.382450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:42.382450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6/OCRQJFCHfZoBGQDIMH2tekCeP/x2nlSB5OXxf1HAPSv18Uq90JJP9c6Uu+9OlRv7kOLOqXeIro7KVz+P7lBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:42.383006Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00951","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a7062377261c2efe3a78586a41374edfe649e5b957474b571527e770cca2cbc","sha256:47207341d007d77065252eb8ad894b7bf955e71c838387c8ba234c7bdaeb772f"],"state_sha256":"b286cc61e6376bce1dc1c409e6f0ccab05b03b2b1261f4bc710a18d95148f800"}