{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G7YY4Q7S4YZLOSZEGOIPRGOBVR","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":"a086c41648959efcdd0b13918dffd25e76a9738e1c5c0f71f60c96c1d87d4a36","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-19T17:41:46Z","title_canon_sha256":"cd34fde5d9d6683db6523b17d80ddc7220ef98d668168fcb052681f09e1e017b"},"schema_version":"1.0","source":{"id":"2503.15463","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15463","created_at":"2026-07-05T11:07:21Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15463v3","created_at":"2026-07-05T11:07:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15463","created_at":"2026-07-05T11:07:21Z"},{"alias_kind":"pith_short_12","alias_value":"G7YY4Q7S4YZL","created_at":"2026-07-05T11:07:21Z"},{"alias_kind":"pith_short_16","alias_value":"G7YY4Q7S4YZLOSZE","created_at":"2026-07-05T11:07:21Z"},{"alias_kind":"pith_short_8","alias_value":"G7YY4Q7S","created_at":"2026-07-05T11:07:21Z"}],"graph_snapshots":[{"event_id":"sha256:55c5ee232bcef332b4fc2cb0b7a04c99f2180ef20e69783bf3c5f5488f6e98de","target":"graph","created_at":"2026-07-05T11:07:21Z","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/2503.15463/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have traditionally been aligned through one-size-fits-all approaches that assume uniform human preferences, fundamentally overlooking the diversity in user values and needs. This paper introduces a comprehensive framework for scalable personalized alignment of LLMs. We establish a systematic preference space characterizing psychological and behavioral dimensions, alongside diverse persona representations for robust preference inference in real-world scenarios. Building upon this foundation, we introduce \\textsc{AlignX}, a large-scale dataset of over 1.3 million per","authors_text":"Jia-Nan Li, Jian Guan, Rui Yan, Songhao Wu, Wei Wu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-19T17:41:46Z","title":"From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15463","kind":"arxiv","version":3},"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:e6ec9836d422f1d2ec67ab6c083dd19bda94397d448581c90e649e2d1bbfcd82","target":"record","created_at":"2026-07-05T11:07:21Z","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":"a086c41648959efcdd0b13918dffd25e76a9738e1c5c0f71f60c96c1d87d4a36","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-19T17:41:46Z","title_canon_sha256":"cd34fde5d9d6683db6523b17d80ddc7220ef98d668168fcb052681f09e1e017b"},"schema_version":"1.0","source":{"id":"2503.15463","kind":"arxiv","version":3}},"canonical_sha256":"37f18e43f2e632b74b243390f899c1ac5c67942ce61defaf6757d4c80c105013","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37f18e43f2e632b74b243390f899c1ac5c67942ce61defaf6757d4c80c105013","first_computed_at":"2026-07-05T11:07:21.861665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:21.861665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iRX1UnwVR6ORFZJiGgU7Cjg9A810xG24VMkjzUpcp4bxjxhvFpR+ZdFDxiMnMMf8g/eJ+ESTQAvhmQCdBLHMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:21.862160Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15463","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6ec9836d422f1d2ec67ab6c083dd19bda94397d448581c90e649e2d1bbfcd82","sha256:55c5ee232bcef332b4fc2cb0b7a04c99f2180ef20e69783bf3c5f5488f6e98de"],"state_sha256":"b52a0aa96ba0865856ccde30f16d50b6e391746e0f1396c8c5d89df0213bde0f"}