{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LTEX4UCIHKENJMSOJUTCANLWYU","short_pith_number":"pith:LTEX4UCI","canonical_record":{"source":{"id":"2506.07596","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:54:25Z","cross_cats_sorted":[],"title_canon_sha256":"abfe118107299190189d1b217ee9ec012a121d9a7d878fccbcc6b8d7ee95ee76","abstract_canon_sha256":"682563fac883d7dfeb496057badf20ce785c8346e24345302e69d90630d92322"},"schema_version":"1.0"},"canonical_sha256":"5cc97e50483a88d4b24e4d26203576c5053021d0192750de2cfd9ad4289593a7","source":{"kind":"arxiv","id":"2506.07596","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07596","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07596v1","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07596","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"pith_short_12","alias_value":"LTEX4UCIHKEN","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"pith_short_16","alias_value":"LTEX4UCIHKENJMSO","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"pith_short_8","alias_value":"LTEX4UCI","created_at":"2026-07-05T11:18:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LTEX4UCIHKENJMSOJUTCANLWYU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.07596","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:54:25Z","cross_cats_sorted":[],"title_canon_sha256":"abfe118107299190189d1b217ee9ec012a121d9a7d878fccbcc6b8d7ee95ee76","abstract_canon_sha256":"682563fac883d7dfeb496057badf20ce785c8346e24345302e69d90630d92322"},"schema_version":"1.0"},"canonical_sha256":"5cc97e50483a88d4b24e4d26203576c5053021d0192750de2cfd9ad4289593a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:30.105879Z","signature_b64":"rFWy+sjHGv2wknT8XIolURzCZzJVY9Slo/CzMEv9Ky09e86x8YMMbWnwJiVQm3tYEUPvL2Pp33y7+My8ETNVCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5cc97e50483a88d4b24e4d26203576c5053021d0192750de2cfd9ad4289593a7","last_reissued_at":"2026-07-05T11:18:30.105377Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:30.105377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.07596","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:18:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kP0QnYej8IZbLb7Z5s7MTpEuVRX7V/4CRtXWIPhtm/ZBFjpV8Xv8yD33sLl4xyH2uJJDtqmy9S4eAbhcDP1YDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:24:56.268083Z"},"content_sha256":"0310a8e4eb37583b05d3f9c4e9def2699bab1ce4589c551179e6b9e2d74855c1","schema_version":"1.0","event_id":"sha256:0310a8e4eb37583b05d3f9c4e9def2699bab1ce4589c551179e6b9e2d74855c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LTEX4UCIHKENJMSOJUTCANLWYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alexandra Dmitrienko, Hamid Dashtbani, Torsten Krau{\\ss}","submitted_at":"2025-06-09T09:54:25Z","abstract_excerpt":"Machine learning is advancing rapidly, with applications bringing notable benefits, such as improvements in translation and code generation. Models like ChatGPT, powered by Large Language Models (LLMs), are increasingly integrated into daily life. However, alongside these benefits, LLMs also introduce social risks. Malicious users can exploit LLMs by submitting harmful prompts, such as requesting instructions for illegal activities. To mitigate this, models often include a security mechanism that automatically rejects such harmful prompts. However, they can be bypassed through LLM jailbreaks. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07596","kind":"arxiv","version":1},"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/2506.07596/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":"2026-07-05T11:18:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"epkfas7Ts3ZHDTl6gZkqDAIYm8LMgdu3zzSHoOERD1bI9A6ZUK5tG1Bbikza+DYJ/7NndTFCoCfkEnjxj4DgDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:24:56.268584Z"},"content_sha256":"9b06a6d57d443f10049c3d3e15d5ecd41293745081812f0ae958f47d934efa37","schema_version":"1.0","event_id":"sha256:9b06a6d57d443f10049c3d3e15d5ecd41293745081812f0ae958f47d934efa37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LTEX4UCIHKENJMSOJUTCANLWYU/bundle.json","state_url":"https://pith.science/pith/LTEX4UCIHKENJMSOJUTCANLWYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LTEX4UCIHKENJMSOJUTCANLWYU/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":"2026-08-06T01:24:56Z","links":{"resolver":"https://pith.science/pith/LTEX4UCIHKENJMSOJUTCANLWYU","bundle":"https://pith.science/pith/LTEX4UCIHKENJMSOJUTCANLWYU/bundle.json","state":"https://pith.science/pith/LTEX4UCIHKENJMSOJUTCANLWYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LTEX4UCIHKENJMSOJUTCANLWYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LTEX4UCIHKENJMSOJUTCANLWYU","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":"682563fac883d7dfeb496057badf20ce785c8346e24345302e69d90630d92322","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:54:25Z","title_canon_sha256":"abfe118107299190189d1b217ee9ec012a121d9a7d878fccbcc6b8d7ee95ee76"},"schema_version":"1.0","source":{"id":"2506.07596","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07596","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07596v1","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07596","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"pith_short_12","alias_value":"LTEX4UCIHKEN","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"pith_short_16","alias_value":"LTEX4UCIHKENJMSO","created_at":"2026-07-05T11:18:30Z"},{"alias_kind":"pith_short_8","alias_value":"LTEX4UCI","created_at":"2026-07-05T11:18:30Z"}],"graph_snapshots":[{"event_id":"sha256:9b06a6d57d443f10049c3d3e15d5ecd41293745081812f0ae958f47d934efa37","target":"graph","created_at":"2026-07-05T11:18:30Z","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/2506.07596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning is advancing rapidly, with applications bringing notable benefits, such as improvements in translation and code generation. Models like ChatGPT, powered by Large Language Models (LLMs), are increasingly integrated into daily life. However, alongside these benefits, LLMs also introduce social risks. Malicious users can exploit LLMs by submitting harmful prompts, such as requesting instructions for illegal activities. To mitigate this, models often include a security mechanism that automatically rejects such harmful prompts. However, they can be bypassed through LLM jailbreaks. ","authors_text":"Alexandra Dmitrienko, Hamid Dashtbani, Torsten Krau{\\ss}","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:54:25Z","title":"TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07596","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":"sha256:0310a8e4eb37583b05d3f9c4e9def2699bab1ce4589c551179e6b9e2d74855c1","target":"record","created_at":"2026-07-05T11:18:30Z","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":"682563fac883d7dfeb496057badf20ce785c8346e24345302e69d90630d92322","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:54:25Z","title_canon_sha256":"abfe118107299190189d1b217ee9ec012a121d9a7d878fccbcc6b8d7ee95ee76"},"schema_version":"1.0","source":{"id":"2506.07596","kind":"arxiv","version":1}},"canonical_sha256":"5cc97e50483a88d4b24e4d26203576c5053021d0192750de2cfd9ad4289593a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cc97e50483a88d4b24e4d26203576c5053021d0192750de2cfd9ad4289593a7","first_computed_at":"2026-07-05T11:18:30.105377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:30.105377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rFWy+sjHGv2wknT8XIolURzCZzJVY9Slo/CzMEv9Ky09e86x8YMMbWnwJiVQm3tYEUPvL2Pp33y7+My8ETNVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:30.105879Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.07596","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0310a8e4eb37583b05d3f9c4e9def2699bab1ce4589c551179e6b9e2d74855c1","sha256:9b06a6d57d443f10049c3d3e15d5ecd41293745081812f0ae958f47d934efa37"],"state_sha256":"967690afcb636054db46ca9cbaa4847d17a762f9354d47ca65ec5c30c77b58ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8grECprtbTfovtylDFKsUgz3/9KGzTo56APq3N+yv8zEQJDSLWcowS9H+y8t2+nRA+qzd0wjkM0x1gMIYuXiDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:24:56.272297Z","bundle_sha256":"ff64456e5fb9a176d2d5c18f165b2381baa91e5d264f80471a155fee656586dd"}}