{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B2EVLAGP7LPR2HXPY5RET6LL6U","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":"532dc7c7be907b624d47e6f8d5e06b5def6ca0e971450754fa57af358c866dd2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-03T08:12:21Z","title_canon_sha256":"7fc3c23b5013584cd6039b0120c5adafbb9b802ee9870bb1eacdb40a1b2de6d7"},"schema_version":"1.0","source":{"id":"2508.01647","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.01647","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"arxiv_version","alias_value":"2508.01647v1","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01647","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"pith_short_12","alias_value":"B2EVLAGP7LPR","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"pith_short_16","alias_value":"B2EVLAGP7LPR2HXP","created_at":"2026-07-05T11:47:42Z"},{"alias_kind":"pith_short_8","alias_value":"B2EVLAGP","created_at":"2026-07-05T11:47:42Z"}],"graph_snapshots":[{"event_id":"sha256:44424df43bc1ab8b7d260afda8124bc5efd5a8173b14aa108b6ea682e5853cdc","target":"graph","created_at":"2026-07-05T11:47:42Z","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/2508.01647/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As backdoor attacks become more stealthy and robust, they reveal critical weaknesses in current defense strategies: detection methods often rely on coarse-grained feature statistics, and purification methods typically require full retraining or additional clean models. To address these challenges, we propose DUP (Detection-guided Unlearning for Purification), a unified framework that integrates backdoor detection with unlearning-based purification. The detector captures feature-level anomalies by jointly leveraging class-agnostic distances and inter-layer transitions. These deviations are inte","authors_text":"Liangyu Chen, Man Hu, Shuai Zhao, Yahui Ding, Yanhao Jia, Yatao Yang","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-03T08:12:21Z","title":"DUP: Detection-guided Unlearning for Backdoor Purification in Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01647","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:c2dfdbaef1f918a216cc22cccb09d1da12fc00a98750d9b9491eef8c7973202c","target":"record","created_at":"2026-07-05T11:47:42Z","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":"532dc7c7be907b624d47e6f8d5e06b5def6ca0e971450754fa57af358c866dd2","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-03T08:12:21Z","title_canon_sha256":"7fc3c23b5013584cd6039b0120c5adafbb9b802ee9870bb1eacdb40a1b2de6d7"},"schema_version":"1.0","source":{"id":"2508.01647","kind":"arxiv","version":1}},"canonical_sha256":"0e895580cffadf1d1eefc76249f96bf531a2437caeb0d1b52390d0ebef289365","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e895580cffadf1d1eefc76249f96bf531a2437caeb0d1b52390d0ebef289365","first_computed_at":"2026-07-05T11:47:42.877975Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:42.877975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SbjdmTd3C1Z4y3RA9J5S2OzhYyCi45HaxZVZVqw+9zvdKfzHEC8EYhJA+oj765blwtJbKmDSGRVUMOP5AXdqAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:42.878454Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.01647","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2dfdbaef1f918a216cc22cccb09d1da12fc00a98750d9b9491eef8c7973202c","sha256:44424df43bc1ab8b7d260afda8124bc5efd5a8173b14aa108b6ea682e5853cdc"],"state_sha256":"730c940b567507c5fc270132763ee04dc3e1016376f22bea44c933e8fb02956c"}