{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JZSPJUYBUTFHXBSXGDGOQJXVJY","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":"2a85f2d9a96e8c4d67d1fb40b5fce0bee2155a6b19c9523860a270bffd841d25","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-08-20T09:41:53Z","title_canon_sha256":"7864bad81261e20910d783c4b688888b59c8a817932b950f2774bcb7fa9e88e6"},"schema_version":"1.0","source":{"id":"2509.08829","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08829","created_at":"2026-07-05T12:08:37Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08829v1","created_at":"2026-07-05T12:08:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08829","created_at":"2026-07-05T12:08:37Z"},{"alias_kind":"pith_short_12","alias_value":"JZSPJUYBUTFH","created_at":"2026-07-05T12:08:37Z"},{"alias_kind":"pith_short_16","alias_value":"JZSPJUYBUTFHXBSX","created_at":"2026-07-05T12:08:37Z"},{"alias_kind":"pith_short_8","alias_value":"JZSPJUYB","created_at":"2026-07-05T12:08:37Z"}],"graph_snapshots":[{"event_id":"sha256:5dd8dd9cdcdf121bd69ab069ad65ffa8f6009fe53a3bbf4ee9c95156f978c78e","target":"graph","created_at":"2026-07-05T12:08:37Z","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/2509.08829/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of Large Language Models (LLMs) into recommender systems has enabled zero-shot, personality-based personalization through prompt-based interactions, offering a new paradigm for user-centric recommendations. However, incorporating user personality traits via the OCEAN model highlights a critical tension between achieving psychological alignment and ensuring demographic fairness. To address this, we propose PerFairX, a unified evaluation framework designed to quantify the trade-offs between personalization and demographic equity in LLM-generated recommendations. Using neutral and","authors_text":"Chandan Kumar Sah","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-08-20T09:41:53Z","title":"PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08829","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":"sha256:3d34b779ad8bb8ae82297f54f9e73339aa0125ad1259a7b2d96427afc0bf2a91","target":"record","created_at":"2026-07-05T12:08:37Z","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":"2a85f2d9a96e8c4d67d1fb40b5fce0bee2155a6b19c9523860a270bffd841d25","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-08-20T09:41:53Z","title_canon_sha256":"7864bad81261e20910d783c4b688888b59c8a817932b950f2774bcb7fa9e88e6"},"schema_version":"1.0","source":{"id":"2509.08829","kind":"arxiv","version":1}},"canonical_sha256":"4e64f4d301a4ca7b865730cce826f54e1f720accf233bee02e621a18e30a6a47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e64f4d301a4ca7b865730cce826f54e1f720accf233bee02e621a18e30a6a47","first_computed_at":"2026-07-05T12:08:37.465076Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:08:37.465076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xmjyd4mz18zS6hc4IF8ZCKFG7znibZYaJT7uDPL0BdSjEB8JAo2Y92SJXKQ4lf/CsiRtaPK3HtnEbra1M25tCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:08:37.465641Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.08829","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d34b779ad8bb8ae82297f54f9e73339aa0125ad1259a7b2d96427afc0bf2a91","sha256:5dd8dd9cdcdf121bd69ab069ad65ffa8f6009fe53a3bbf4ee9c95156f978c78e"],"state_sha256":"9a38f12b49153b4c66e80a437e8951a267b831de42c9c74118b8801298783f98"}