{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZB6YCYE3ESPP4DKKQQAADMNZVI","short_pith_number":"pith:ZB6YCYE3","canonical_record":{"source":{"id":"2310.02129","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-03T15:10:46Z","cross_cats_sorted":["cs.AI","cs.CV","cs.DB","cs.LG"],"title_canon_sha256":"dcbf2bf83eb6626cbd44aa1b299f454cec7dfd9274ac492246b112ab696da42b","abstract_canon_sha256":"1a87ac29d724126b2dbe79fa2a5930e27cd1861569c00bdab373138523bb50d2"},"schema_version":"1.0"},"canonical_sha256":"c87d81609b249efe0d4a840001b1b9aa28474dcf789f3720172d1b26f37acccd","source":{"kind":"arxiv","id":"2310.02129","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.02129","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2310.02129v5","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.02129","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"ZB6YCYE3ESPP","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"ZB6YCYE3ESPP4DKK","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"ZB6YCYE3","created_at":"2026-07-05T08:18:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZB6YCYE3ESPP4DKKQQAADMNZVI","target":"record","payload":{"canonical_record":{"source":{"id":"2310.02129","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-03T15:10:46Z","cross_cats_sorted":["cs.AI","cs.CV","cs.DB","cs.LG"],"title_canon_sha256":"dcbf2bf83eb6626cbd44aa1b299f454cec7dfd9274ac492246b112ab696da42b","abstract_canon_sha256":"1a87ac29d724126b2dbe79fa2a5930e27cd1861569c00bdab373138523bb50d2"},"schema_version":"1.0"},"canonical_sha256":"c87d81609b249efe0d4a840001b1b9aa28474dcf789f3720172d1b26f37acccd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:18:00.351622Z","signature_b64":"zmEfyWY1XADCXvdokWY+93ZweQipluIjKCinby4yMA/ddNnNS83KOJTS8k2Cdoy+PfLnxu+oGxxdkJaexYHsAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c87d81609b249efe0d4a840001b1b9aa28474dcf789f3720172d1b26f37acccd","last_reissued_at":"2026-07-05T08:18:00.351149Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:18:00.351149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.02129","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/9UVAuN2NFz4dbLFS9fWUvQ2HIblHRHRXxndKIJrPJYUCfArlSbSXOSk7xTcLfyftfFe1YsgHWPtyEmudhhBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:07:54.209652Z"},"content_sha256":"69fd9ac716e98ae6a9939e53703e827246fb71125fc51c5c70316e28aa2033aa","schema_version":"1.0","event_id":"sha256:69fd9ac716e98ae6a9939e53703e827246fb71125fc51c5c70316e28aa2033aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZB6YCYE3ESPP4DKKQQAADMNZVI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unveiling the Pitfalls of Knowledge Editing for Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.DB","cs.LG"],"primary_cat":"cs.CL","authors_text":"Huajun Chen, Mengru Wang, Ningyu Zhang, Xi Chen, Yunzhi Yao, Zhoubo Li","submitted_at":"2023-10-03T15:10:46Z","abstract_excerpt":"As the cost associated with fine-tuning Large Language Models (LLMs) continues to rise, recent research efforts have pivoted towards developing methodologies to edit implicit knowledge embedded within LLMs. Yet, there's still a dark cloud lingering overhead -- will knowledge editing trigger butterfly effect? since it is still unclear whether knowledge editing might introduce side effects that pose potential risks or not. This paper pioneers the investigation into the potential pitfalls associated with knowledge editing for LLMs. To achieve this, we introduce new benchmark datasets and propose "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.02129","kind":"arxiv","version":5},"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/2310.02129/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aHZyh9ILnrfE45oC4cbBn4Qip1L9uEoc2lLv+yPK0uRb75u44s5EjBsRehx0Iy85n9QMvIUmMPNF6tdlv+wEAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:07:54.210419Z"},"content_sha256":"a6ee268a7a71f8be97c182cfcd44cd714c438737b84ba688574d19004fe8a382","schema_version":"1.0","event_id":"sha256:a6ee268a7a71f8be97c182cfcd44cd714c438737b84ba688574d19004fe8a382"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI/bundle.json","state_url":"https://pith.science/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T13:07:54Z","links":{"resolver":"https://pith.science/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI","bundle":"https://pith.science/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI/bundle.json","state":"https://pith.science/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZB6YCYE3ESPP4DKKQQAADMNZVI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZB6YCYE3ESPP4DKKQQAADMNZVI","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":"1a87ac29d724126b2dbe79fa2a5930e27cd1861569c00bdab373138523bb50d2","cross_cats_sorted":["cs.AI","cs.CV","cs.DB","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-03T15:10:46Z","title_canon_sha256":"dcbf2bf83eb6626cbd44aa1b299f454cec7dfd9274ac492246b112ab696da42b"},"schema_version":"1.0","source":{"id":"2310.02129","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.02129","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2310.02129v5","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.02129","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"ZB6YCYE3ESPP","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"ZB6YCYE3ESPP4DKK","created_at":"2026-07-05T08:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"ZB6YCYE3","created_at":"2026-07-05T08:18:00Z"}],"graph_snapshots":[{"event_id":"sha256:a6ee268a7a71f8be97c182cfcd44cd714c438737b84ba688574d19004fe8a382","target":"graph","created_at":"2026-07-05T08:18:00Z","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/2310.02129/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the cost associated with fine-tuning Large Language Models (LLMs) continues to rise, recent research efforts have pivoted towards developing methodologies to edit implicit knowledge embedded within LLMs. Yet, there's still a dark cloud lingering overhead -- will knowledge editing trigger butterfly effect? since it is still unclear whether knowledge editing might introduce side effects that pose potential risks or not. This paper pioneers the investigation into the potential pitfalls associated with knowledge editing for LLMs. To achieve this, we introduce new benchmark datasets and propose ","authors_text":"Huajun Chen, Mengru Wang, Ningyu Zhang, Xi Chen, Yunzhi Yao, Zhoubo Li","cross_cats":["cs.AI","cs.CV","cs.DB","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-03T15:10:46Z","title":"Unveiling the Pitfalls of Knowledge Editing for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.02129","kind":"arxiv","version":5},"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":"sha256:69fd9ac716e98ae6a9939e53703e827246fb71125fc51c5c70316e28aa2033aa","target":"record","created_at":"2026-07-05T08:18:00Z","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":"1a87ac29d724126b2dbe79fa2a5930e27cd1861569c00bdab373138523bb50d2","cross_cats_sorted":["cs.AI","cs.CV","cs.DB","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-03T15:10:46Z","title_canon_sha256":"dcbf2bf83eb6626cbd44aa1b299f454cec7dfd9274ac492246b112ab696da42b"},"schema_version":"1.0","source":{"id":"2310.02129","kind":"arxiv","version":5}},"canonical_sha256":"c87d81609b249efe0d4a840001b1b9aa28474dcf789f3720172d1b26f37acccd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c87d81609b249efe0d4a840001b1b9aa28474dcf789f3720172d1b26f37acccd","first_computed_at":"2026-07-05T08:18:00.351149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:00.351149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zmEfyWY1XADCXvdokWY+93ZweQipluIjKCinby4yMA/ddNnNS83KOJTS8k2Cdoy+PfLnxu+oGxxdkJaexYHsAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:00.351622Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.02129","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69fd9ac716e98ae6a9939e53703e827246fb71125fc51c5c70316e28aa2033aa","sha256:a6ee268a7a71f8be97c182cfcd44cd714c438737b84ba688574d19004fe8a382"],"state_sha256":"b3a477d94e03066972d38996716b354f09b55c908ce3c6270d93afe010f9e442"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s41xxZmtLYNfPo/GhLe7KZQ4AYSiVaYZKRkI0wFEC5dkp/ErW5ol1rkWBjrCBbXiZgpCeOsn5j+gwTEtw8F1Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:07:54.216501Z","bundle_sha256":"cbbd3a7b946d469e9c3f4f55114c9a3434652a9099133286d7e15aa480edd60e"}}