{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:H45364BA2X4TFJOKLUAC2YK4VQ","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":"f9d08285bb8b63b3e1f2852ecf962c438a5cbabf0ddfc737d11e19de54e472a8","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-14T14:26:17Z","title_canon_sha256":"ac86d2d5e7c73001bde98e3f1ba0d995642bc528f6240a7c77e11140fc296105"},"schema_version":"1.0","source":{"id":"2407.10223","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10223","created_at":"2026-07-05T10:22:02Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10223v2","created_at":"2026-07-05T10:22:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10223","created_at":"2026-07-05T10:22:02Z"},{"alias_kind":"pith_short_12","alias_value":"H45364BA2X4T","created_at":"2026-07-05T10:22:02Z"},{"alias_kind":"pith_short_16","alias_value":"H45364BA2X4TFJOK","created_at":"2026-07-05T10:22:02Z"},{"alias_kind":"pith_short_8","alias_value":"H45364BA","created_at":"2026-07-05T10:22:02Z"}],"graph_snapshots":[{"event_id":"sha256:80960b0fe526082d7bb71a8cc78f4daaed1359f8c1c34498c66d9808f20f672e","target":"graph","created_at":"2026-07-05T10:22:02Z","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/2407.10223/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While large language models have demonstrated impressive performance across various domains and tasks, their security issues have become increasingly severe. Machine unlearning has emerged as a representative approach for model safety and security by removing the influence of undesired data on the target model. However, these methods do not sufficiently consider that unlearning requests in real-world scenarios are continuously emerging, especially in the context of LLMs, which may lead to accumulated model utility loss that eventually becomes unacceptable. Moreover, existing LLM unlearning met","authors_text":"Chenkai Weng, Chongyang Gao, Kaize Ding, Lixu Wang, Qi Zhu, Xiao Wang","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-14T14:26:17Z","title":"On Large Language Model Continual Unlearning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10223","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:bf9b274ff366d812b546892abe46afd34b096ac914180bb42847140b568128c6","target":"record","created_at":"2026-07-05T10:22:02Z","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":"f9d08285bb8b63b3e1f2852ecf962c438a5cbabf0ddfc737d11e19de54e472a8","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-14T14:26:17Z","title_canon_sha256":"ac86d2d5e7c73001bde98e3f1ba0d995642bc528f6240a7c77e11140fc296105"},"schema_version":"1.0","source":{"id":"2407.10223","kind":"arxiv","version":2}},"canonical_sha256":"3f3bbf7020d5f932a5ca5d002d615cac3c7b76b466e19207fe00220cc66049d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f3bbf7020d5f932a5ca5d002d615cac3c7b76b466e19207fe00220cc66049d0","first_computed_at":"2026-07-05T10:22:02.072726Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:02.072726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cQS+tGYLkGmBzPl5mgMsbQGzF5ghfEroovI1myt8EJncFph1REUeOKQTzGq20nkv9Xwc9bG6LTMMQdapwPGdAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:02.073302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.10223","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf9b274ff366d812b546892abe46afd34b096ac914180bb42847140b568128c6","sha256:80960b0fe526082d7bb71a8cc78f4daaed1359f8c1c34498c66d9808f20f672e"],"state_sha256":"a90711da9f18ac51a713bae778f71faee326d85165b9b3857ff08976680558b6"}