{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:AFM547OG5LPN6CN5ZDE2Y732HH","short_pith_number":"pith:AFM547OG","schema_version":"1.0","canonical_sha256":"0159de7dc6eadedf09bdc8c9ac7f7a39d6192e6719da8ad0a8e0dcb95d0c51dc","source":{"kind":"arxiv","id":"2602.10134","version":2},"attestation_state":"computed","paper":{"title":"Reverse-Engineering Model Editing on Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CR","authors_text":"Minrui Luo, Tianxing He, Yu Wang, Zhili Chen, Zhiyu Sun","submitted_at":"2026-02-07T08:35:59Z","abstract_excerpt":"Large language models (LLMs) are pretrained on corpora containing trillions of tokens and, therefore, inevitably memorize sensitive information. Locate-then-edit methods, as a mainstream paradigm of model editing, offer a promising solution by modifying model parameters without retraining. However, in this work, we reveal a critical vulnerability of this paradigm: the parameter updates inadvertently serve as a side channel, enabling attackers to recover the edited data. We propose a two-stage reverse-engineering attack named \\textit{KSTER} (\\textbf{K}ey\\textbf{S}paceRecons\\textbf{T}ruction-the"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2602.10134","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-02-07T08:35:59Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"6d3452c15d611a2c87f05ecf7c44b642aa837ac742dd3a6e386cff7d168dc20a","abstract_canon_sha256":"c014de1084d52770befe61e6139090543d9d5618a8c05c1c71a0dda2246aad3b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:41.964190Z","signature_b64":"FeCi7Fdn4NlAu2lB+g8jaORc6ubOvMFO6X/VyNLCjzohgOtLhz4CGm0gMoy75nxJo/BZJwjOFePIkW/aXrRNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0159de7dc6eadedf09bdc8c9ac7f7a39d6192e6719da8ad0a8e0dcb95d0c51dc","last_reissued_at":"2026-05-20T00:05:41.963504Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:41.963504Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reverse-Engineering Model Editing on Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CR","authors_text":"Minrui Luo, Tianxing He, Yu Wang, Zhili Chen, Zhiyu Sun","submitted_at":"2026-02-07T08:35:59Z","abstract_excerpt":"Large language models (LLMs) are pretrained on corpora containing trillions of tokens and, therefore, inevitably memorize sensitive information. Locate-then-edit methods, as a mainstream paradigm of model editing, offer a promising solution by modifying model parameters without retraining. However, in this work, we reveal a critical vulnerability of this paradigm: the parameter updates inadvertently serve as a side channel, enabling attackers to recover the edited data. We propose a two-stage reverse-engineering attack named \\textit{KSTER} (\\textbf{K}ey\\textbf{S}paceRecons\\textbf{T}ruction-the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.10134","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.10134/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2602.10134","created_at":"2026-05-20T00:05:41.963618+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.10134v2","created_at":"2026-05-20T00:05:41.963618+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.10134","created_at":"2026-05-20T00:05:41.963618+00:00"},{"alias_kind":"pith_short_12","alias_value":"AFM547OG5LPN","created_at":"2026-05-20T00:05:41.963618+00:00"},{"alias_kind":"pith_short_16","alias_value":"AFM547OG5LPN6CN5","created_at":"2026-05-20T00:05:41.963618+00:00"},{"alias_kind":"pith_short_8","alias_value":"AFM547OG","created_at":"2026-05-20T00:05:41.963618+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH","json":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH.json","graph_json":"https://pith.science/api/pith-number/AFM547OG5LPN6CN5ZDE2Y732HH/graph.json","events_json":"https://pith.science/api/pith-number/AFM547OG5LPN6CN5ZDE2Y732HH/events.json","paper":"https://pith.science/paper/AFM547OG"},"agent_actions":{"view_html":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH","download_json":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH.json","view_paper":"https://pith.science/paper/AFM547OG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.10134&json=true","fetch_graph":"https://pith.science/api/pith-number/AFM547OG5LPN6CN5ZDE2Y732HH/graph.json","fetch_events":"https://pith.science/api/pith-number/AFM547OG5LPN6CN5ZDE2Y732HH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH/action/storage_attestation","attest_author":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH/action/author_attestation","sign_citation":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH/action/citation_signature","submit_replication":"https://pith.science/pith/AFM547OG5LPN6CN5ZDE2Y732HH/action/replication_record"}},"created_at":"2026-05-20T00:05:41.963618+00:00","updated_at":"2026-05-20T00:05:41.963618+00:00"}