{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5TPPPQLZBCHG7RKJ3WSIGVWBDD","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":"479a40164e3d875097ed91ae9d6745d9d7696eb3380ca4113c2bb1180a53ceba","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-23T03:19:40Z","title_canon_sha256":"48e511ab7d35c0e2bd91dab501f44752c97b544e3654bdeeb91b05394c7b1a56"},"schema_version":"1.0","source":{"id":"2411.15432","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.15432","created_at":"2026-07-05T10:30:58Z"},{"alias_kind":"arxiv_version","alias_value":"2411.15432v2","created_at":"2026-07-05T10:30:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.15432","created_at":"2026-07-05T10:30:58Z"},{"alias_kind":"pith_short_12","alias_value":"5TPPPQLZBCHG","created_at":"2026-07-05T10:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"5TPPPQLZBCHG7RKJ","created_at":"2026-07-05T10:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"5TPPPQLZ","created_at":"2026-07-05T10:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:a0023a9d9e611c95e33a850dc39edeb5dadfdfb611e8c3a98e6c17cd1a5e5c8c","target":"graph","created_at":"2026-07-05T10:30:58Z","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/2411.15432/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model editing aims to correct inaccurate knowledge, update outdated information, and incorporate new data into Large Language Models (LLMs) without the need for retraining. This task poses challenges in lifelong scenarios where edits must be continuously applied for real-world applications. While some editors demonstrate strong robustness for lifelong editing in pure LLMs, Vision LLMs (VLLMs), which incorporate an additional vision modality, are not directly adaptable to existing LLM editors. In this paper, we propose LiveEdit, a LIfelong Vision language modEl Edit to bridge the gap between li","authors_text":"Chengyu Wang, Dakan Wang, Qizhou Chen, Taolin Zhang, Wangyue Li, Xiaofeng He","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-23T03:19:40Z","title":"Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.15432","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":"sha256:811d9ce7d5f4a401797986e3dd5a41eece07f3ac6629f852788a873714fb09be","target":"record","created_at":"2026-07-05T10:30:58Z","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":"479a40164e3d875097ed91ae9d6745d9d7696eb3380ca4113c2bb1180a53ceba","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-23T03:19:40Z","title_canon_sha256":"48e511ab7d35c0e2bd91dab501f44752c97b544e3654bdeeb91b05394c7b1a56"},"schema_version":"1.0","source":{"id":"2411.15432","kind":"arxiv","version":2}},"canonical_sha256":"ecdef7c179088e6fc549dda48356c118ec982d8dbba230c784c1d32b90f293e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ecdef7c179088e6fc549dda48356c118ec982d8dbba230c784c1d32b90f293e0","first_computed_at":"2026-07-05T10:30:58.485276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:58.485276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3aE8WC4wZ+aLEGCwYHPCdLOj4FeSvPbOGezoS4DnUEfEnELLh5SYatFyC9zBddZyH90RcyMmb3AVBf8wvwfDDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:58.486408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.15432","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:811d9ce7d5f4a401797986e3dd5a41eece07f3ac6629f852788a873714fb09be","sha256:a0023a9d9e611c95e33a850dc39edeb5dadfdfb611e8c3a98e6c17cd1a5e5c8c"],"state_sha256":"2fcef5e56fd02e3276b2c1778a5e2b817660b0c3ef072e2c2ff01be055877ac1"}