{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5INDX4EMZI4QUZP4M4K2SIYLFP","short_pith_number":"pith:5INDX4EM","canonical_record":{"source":{"id":"2403.04769","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-16T17:02:53Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"de32337f9a4350c3dd664c69a6d70f0ec94b007239227541958aab2f66c1b772","abstract_canon_sha256":"51e7174afc18505f95a083baea756739a282d8feddf28468653789d2c305ccbc"},"schema_version":"1.0"},"canonical_sha256":"ea1a3bf08cca390a65fc6715a9230b2bcb4a770960c69caa0b3e641569457815","source":{"kind":"arxiv","id":"2403.04769","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.04769","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"arxiv_version","alias_value":"2403.04769v2","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.04769","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"pith_short_12","alias_value":"5INDX4EMZI4Q","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"pith_short_16","alias_value":"5INDX4EMZI4QUZP4","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"pith_short_8","alias_value":"5INDX4EM","created_at":"2026-07-05T07:54:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5INDX4EMZI4QUZP4M4K2SIYLFP","target":"record","payload":{"canonical_record":{"source":{"id":"2403.04769","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-16T17:02:53Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"de32337f9a4350c3dd664c69a6d70f0ec94b007239227541958aab2f66c1b772","abstract_canon_sha256":"51e7174afc18505f95a083baea756739a282d8feddf28468653789d2c305ccbc"},"schema_version":"1.0"},"canonical_sha256":"ea1a3bf08cca390a65fc6715a9230b2bcb4a770960c69caa0b3e641569457815","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:09.547372Z","signature_b64":"1AmUkbnz0yrouYVexWtpclQ5vKIksRAULe/MMNm9X4Hg4vSxO3MYpAf4uwqft0DODLGeihuOQI9+YVxMjMt2Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea1a3bf08cca390a65fc6715a9230b2bcb4a770960c69caa0b3e641569457815","last_reissued_at":"2026-07-05T07:54:09.546805Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:09.546805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.04769","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:54:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BIVcEUOOmwHNywC6+p2adX+M7auQd/c06Zhd3ALblRsG2xG6KjORfog38fmIAzyNZI+SD3Mx04F40yUdawcbCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:39:37.247924Z"},"content_sha256":"2ab171effceb325c577a3f71524979c56eec6d6696af855f12228ff80a346301","schema_version":"1.0","event_id":"sha256:2ab171effceb325c577a3f71524979c56eec6d6696af855f12228ff80a346301"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5INDX4EMZI4QUZP4M4K2SIYLFP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Using Hallucinations to Bypass GPT4's Filter","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.CR","authors_text":"Benjamin Lemkin","submitted_at":"2024-02-16T17:02:53Z","abstract_excerpt":"Large language models (LLMs) are initially trained on vast amounts of data, then fine-tuned using reinforcement learning from human feedback (RLHF); this also serves to teach the LLM to provide appropriate and safe responses. In this paper, we present a novel method to manipulate the fine-tuned version into reverting to its pre-RLHF behavior, effectively erasing the model's filters; the exploit currently works for GPT4, Claude Sonnet, and (to some extent) for Inflection-2.5. Unlike other jailbreaks (for example, the popular \"Do Anything Now\" (DAN) ), our method does not rely on instructing the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.04769","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/2403.04769/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":"2026-07-05T07:54:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9n7OdkZJCuy3u0op0GpciGklg+NoSdC1zLgb611O3uADC4GXuCM0YJwru7N8LCGARHuic93uocHfuzFLYWMTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T06:39:37.248846Z"},"content_sha256":"ab8f9580ddea01e629d7573753f79b6e4468e145ca8237a69a99fb8e65c3f0a3","schema_version":"1.0","event_id":"sha256:ab8f9580ddea01e629d7573753f79b6e4468e145ca8237a69a99fb8e65c3f0a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5INDX4EMZI4QUZP4M4K2SIYLFP/bundle.json","state_url":"https://pith.science/pith/5INDX4EMZI4QUZP4M4K2SIYLFP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5INDX4EMZI4QUZP4M4K2SIYLFP/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":"2026-08-08T06:39:37Z","links":{"resolver":"https://pith.science/pith/5INDX4EMZI4QUZP4M4K2SIYLFP","bundle":"https://pith.science/pith/5INDX4EMZI4QUZP4M4K2SIYLFP/bundle.json","state":"https://pith.science/pith/5INDX4EMZI4QUZP4M4K2SIYLFP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5INDX4EMZI4QUZP4M4K2SIYLFP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5INDX4EMZI4QUZP4M4K2SIYLFP","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":"51e7174afc18505f95a083baea756739a282d8feddf28468653789d2c305ccbc","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-16T17:02:53Z","title_canon_sha256":"de32337f9a4350c3dd664c69a6d70f0ec94b007239227541958aab2f66c1b772"},"schema_version":"1.0","source":{"id":"2403.04769","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.04769","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"arxiv_version","alias_value":"2403.04769v2","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.04769","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"pith_short_12","alias_value":"5INDX4EMZI4Q","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"pith_short_16","alias_value":"5INDX4EMZI4QUZP4","created_at":"2026-07-05T07:54:09Z"},{"alias_kind":"pith_short_8","alias_value":"5INDX4EM","created_at":"2026-07-05T07:54:09Z"}],"graph_snapshots":[{"event_id":"sha256:ab8f9580ddea01e629d7573753f79b6e4468e145ca8237a69a99fb8e65c3f0a3","target":"graph","created_at":"2026-07-05T07:54:09Z","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/2403.04769/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are initially trained on vast amounts of data, then fine-tuned using reinforcement learning from human feedback (RLHF); this also serves to teach the LLM to provide appropriate and safe responses. In this paper, we present a novel method to manipulate the fine-tuned version into reverting to its pre-RLHF behavior, effectively erasing the model's filters; the exploit currently works for GPT4, Claude Sonnet, and (to some extent) for Inflection-2.5. Unlike other jailbreaks (for example, the popular \"Do Anything Now\" (DAN) ), our method does not rely on instructing the","authors_text":"Benjamin Lemkin","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-16T17:02:53Z","title":"Using Hallucinations to Bypass GPT4's Filter"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.04769","kind":"arxiv","version":2},"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":"sha256:2ab171effceb325c577a3f71524979c56eec6d6696af855f12228ff80a346301","target":"record","created_at":"2026-07-05T07:54:09Z","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":"51e7174afc18505f95a083baea756739a282d8feddf28468653789d2c305ccbc","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-16T17:02:53Z","title_canon_sha256":"de32337f9a4350c3dd664c69a6d70f0ec94b007239227541958aab2f66c1b772"},"schema_version":"1.0","source":{"id":"2403.04769","kind":"arxiv","version":2}},"canonical_sha256":"ea1a3bf08cca390a65fc6715a9230b2bcb4a770960c69caa0b3e641569457815","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea1a3bf08cca390a65fc6715a9230b2bcb4a770960c69caa0b3e641569457815","first_computed_at":"2026-07-05T07:54:09.546805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:09.546805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1AmUkbnz0yrouYVexWtpclQ5vKIksRAULe/MMNm9X4Hg4vSxO3MYpAf4uwqft0DODLGeihuOQI9+YVxMjMt2Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:09.547372Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.04769","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ab171effceb325c577a3f71524979c56eec6d6696af855f12228ff80a346301","sha256:ab8f9580ddea01e629d7573753f79b6e4468e145ca8237a69a99fb8e65c3f0a3"],"state_sha256":"e50d9820a8e314d0521253931614f5d20d5629992b1063e04adb841bde75ed39"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/6cUfWaEXX5GaVI84gkcqm0ML0qTf6m3TpJOxoGWpf21jfqGvB1Oh20fKNgW7amn+Jk3b5h30tdVZ+Us2wXfDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T06:39:37.254572Z","bundle_sha256":"a7ef4e960c510cbdad8fbfd71d89e96dadc451476f61068ca1d026f5dbae7e6e"}}