{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5UBQMKBRM4URH5YZXN4TLC7GZX","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":"c8c990ba307e525805238eabdb35138f6ec30b8b67730a6c15c51b588ca6b9ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-19T16:26:58Z","title_canon_sha256":"e28370000904b190488bc8111a2de727cd85bf892fa8b1c4a7cb68b7fb82315f"},"schema_version":"1.0","source":{"id":"2505.13312","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13312","created_at":"2026-07-05T11:05:28Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13312v1","created_at":"2026-07-05T11:05:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13312","created_at":"2026-07-05T11:05:28Z"},{"alias_kind":"pith_short_12","alias_value":"5UBQMKBRM4UR","created_at":"2026-07-05T11:05:28Z"},{"alias_kind":"pith_short_16","alias_value":"5UBQMKBRM4URH5YZ","created_at":"2026-07-05T11:05:28Z"},{"alias_kind":"pith_short_8","alias_value":"5UBQMKBR","created_at":"2026-07-05T11:05:28Z"}],"graph_snapshots":[{"event_id":"sha256:2cf4eac1897e6fbcfb1442ae2259a2b50352b99b95b3f560cdce982d73c2f46c","target":"graph","created_at":"2026-07-05T11:05:28Z","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/2505.13312/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated strong capabilities in memorizing vast amounts of knowledge across diverse domains. However, the ability to selectively forget specific knowledge is critical for ensuring the safety and compliance of deployed models. Existing unlearning efforts typically fine-tune the model with resources such as forget data, retain data, and a calibration model. These additional gradient steps blur the decision boundary between forget and retain knowledge, making unlearning often at the expense of overall performance. To avoid the negative impact of fine-tuning, ","authors_text":"Chris Yuhao Liu, Jiaheng Wei, Lei Feng, Qi Xuan, Xinlei He, Zhaowei Zhu, Zhijie Deng, Zirui Pang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-19T16:26:58Z","title":"GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13312","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":"sha256:41eab5f5e3b4e6a5e83a5f9cdfc2eabda21b5f1bc06648ac9723e78dd877bd67","target":"record","created_at":"2026-07-05T11:05:28Z","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":"c8c990ba307e525805238eabdb35138f6ec30b8b67730a6c15c51b588ca6b9ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-19T16:26:58Z","title_canon_sha256":"e28370000904b190488bc8111a2de727cd85bf892fa8b1c4a7cb68b7fb82315f"},"schema_version":"1.0","source":{"id":"2505.13312","kind":"arxiv","version":1}},"canonical_sha256":"ed03062831672913f719bb79358be6cddf0e24dd3a47e18661142d35475f7cf3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed03062831672913f719bb79358be6cddf0e24dd3a47e18661142d35475f7cf3","first_computed_at":"2026-07-05T11:05:28.382997Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:28.382997Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YAEITY3K7p5VN2+rd1QRr66PjKXUUnna6YofMwK6n86S08NzbGQaxXvKCHbn06gTBvvJwCtsUD8tx794/d9ZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:28.383507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13312","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41eab5f5e3b4e6a5e83a5f9cdfc2eabda21b5f1bc06648ac9723e78dd877bd67","sha256:2cf4eac1897e6fbcfb1442ae2259a2b50352b99b95b3f560cdce982d73c2f46c"],"state_sha256":"372816e42fbae7f0f5e6c521791f959bfc4087fa66a09eb3452d2079cdabd9c3"}