{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TUGC3AGIVIIPE3JENBUF7ZDTAQ","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":"420cdc28c434f7bad5cdcffc581d586268528fe548c2589ad5325515e92f2a3c","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T11:47:08Z","title_canon_sha256":"5ea180060627bc4f9d45d4e3d8896deb0ccbe96b3444a3e3979b5d34801a968b"},"schema_version":"1.0","source":{"id":"2505.16559","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16559","created_at":"2026-07-05T11:07:37Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16559v1","created_at":"2026-07-05T11:07:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16559","created_at":"2026-07-05T11:07:37Z"},{"alias_kind":"pith_short_12","alias_value":"TUGC3AGIVIIP","created_at":"2026-07-05T11:07:37Z"},{"alias_kind":"pith_short_16","alias_value":"TUGC3AGIVIIPE3JE","created_at":"2026-07-05T11:07:37Z"},{"alias_kind":"pith_short_8","alias_value":"TUGC3AGI","created_at":"2026-07-05T11:07:37Z"}],"graph_snapshots":[{"event_id":"sha256:5328773dfa3097c0aa192b7319e01699a03658c4b725d811573c58fbc70c1b9d","target":"graph","created_at":"2026-07-05T11:07:37Z","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/2505.16559/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-tuning-as-a-service, while commercially successful for Large Language Model (LLM) providers, exposes models to harmful fine-tuning attacks. As a widely explored defense paradigm against such attacks, unlearning attempts to remove malicious knowledge from LLMs, thereby essentially preventing them from being used to perform malicious tasks. However, we highlight a critical flaw: the powerful general adaptability of LLMs allows them to easily bypass selective unlearning by rapidly relearning or repurposing their capabilities for harmful tasks. To address this fundamental limitation, we propo","authors_text":"Baolei Zhang, Biao Yi, Lihai Nie, Li Shen, Tiansheng Huang, Tong Li, Zheli Liu","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T11:47:08Z","title":"CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16559","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:f34d575263dfdd1004c921ca04921d35c2370b1952953e2f9ee4d722276722b8","target":"record","created_at":"2026-07-05T11:07:37Z","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":"420cdc28c434f7bad5cdcffc581d586268528fe548c2589ad5325515e92f2a3c","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-22T11:47:08Z","title_canon_sha256":"5ea180060627bc4f9d45d4e3d8896deb0ccbe96b3444a3e3979b5d34801a968b"},"schema_version":"1.0","source":{"id":"2505.16559","kind":"arxiv","version":1}},"canonical_sha256":"9d0c2d80c8aa10f26d2468685fe473040c8676eed5f9fd5b17da97a531d455b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d0c2d80c8aa10f26d2468685fe473040c8676eed5f9fd5b17da97a531d455b5","first_computed_at":"2026-07-05T11:07:37.234465Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:37.234465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KC8zmIiqy65o+qoKT3KhcIUQxjP3UzoM7UfI/woJj2HDoayAU4KYtcS5vZursWvlMMWn38mSsNd/n43JPVZ2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:37.234983Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16559","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f34d575263dfdd1004c921ca04921d35c2370b1952953e2f9ee4d722276722b8","sha256:5328773dfa3097c0aa192b7319e01699a03658c4b725d811573c58fbc70c1b9d"],"state_sha256":"ffc5a3d5b8230efa5d198ebf4a0ec9337064ff0a71eb5ea0a36a3a0cacd853e9"}