{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZJLTQFOZJT2YDH36YEEI2KFP6P","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":"226e9d877f0bfccfa14694b0974dbf8e83b7daa74aaf5e19094d7baf4c115b83","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-28T17:47:19Z","title_canon_sha256":"eb9ed7a291dd17a9b31b642317d6b0ea3b3fdf7db2ef257fcf4f80f2842c963a"},"schema_version":"1.0","source":{"id":"2403.19631","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.19631","created_at":"2026-07-05T08:55:08Z"},{"alias_kind":"arxiv_version","alias_value":"2403.19631v2","created_at":"2026-07-05T08:55:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19631","created_at":"2026-07-05T08:55:08Z"},{"alias_kind":"pith_short_12","alias_value":"ZJLTQFOZJT2Y","created_at":"2026-07-05T08:55:08Z"},{"alias_kind":"pith_short_16","alias_value":"ZJLTQFOZJT2YDH36","created_at":"2026-07-05T08:55:08Z"},{"alias_kind":"pith_short_8","alias_value":"ZJLTQFOZ","created_at":"2026-07-05T08:55:08Z"}],"graph_snapshots":[{"event_id":"sha256:796ec900c2af89cd1aab3d660d0451612732592a8b2312b50a31b95511cbbf5b","target":"graph","created_at":"2026-07-05T08:55:08Z","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/2403.19631/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown proficiency in question-answering tasks but often struggle to integrate real-time knowledge, leading to potentially outdated or inaccurate responses. This problem becomes even more challenging when dealing with multi-hop questions, since they require LLMs to update and integrate multiple knowledge pieces relevant to the questions. To tackle the problem, we propose the Retrieval-Augmented model Editing (RAE) framework for multi-hop question answering. RAE first retrieves edited facts and then refines the language model through in-context learning. Specifi","authors_text":"Kaixiong Zhou, Ninghao Liu, Qiaoyu Tan, Shaochen Zhong, Xuansheng Wu, Yucheng Shi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-28T17:47:19Z","title":"Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19631","kind":"arxiv","version":2},"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:f52d5a8b52a36abf8319b996e9972b2ec259925e360a22f175578531e051fb8a","target":"record","created_at":"2026-07-05T08:55:08Z","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":"226e9d877f0bfccfa14694b0974dbf8e83b7daa74aaf5e19094d7baf4c115b83","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-28T17:47:19Z","title_canon_sha256":"eb9ed7a291dd17a9b31b642317d6b0ea3b3fdf7db2ef257fcf4f80f2842c963a"},"schema_version":"1.0","source":{"id":"2403.19631","kind":"arxiv","version":2}},"canonical_sha256":"ca573815d94cf5819f7ec1088d28aff3ccf4667d9a86619d7e582f3fbdcb7a08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca573815d94cf5819f7ec1088d28aff3ccf4667d9a86619d7e582f3fbdcb7a08","first_computed_at":"2026-07-05T08:55:08.378012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:08.378012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OxhdLx2Z3W8hAvKAmhDepUlZxGwAZbN9aXspFI9ALiqDQKwpQ0gMO6THSS1Zt8ytoKxsFBNbVkUoMhjA2bdoBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:08.378503Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.19631","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f52d5a8b52a36abf8319b996e9972b2ec259925e360a22f175578531e051fb8a","sha256:796ec900c2af89cd1aab3d660d0451612732592a8b2312b50a31b95511cbbf5b"],"state_sha256":"c6b8fd0947cccb16b1e8c705a60b10338d6bf0473f24c59032d36d9405785eb8"}