{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WCEAQYNJYQ6P2UUA2WFVGHGX5F","short_pith_number":"pith:WCEAQYNJ","canonical_record":{"source":{"id":"2504.13052","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-17T16:09:12Z","cross_cats_sorted":[],"title_canon_sha256":"c0ccf585975a5a6084b9c8b43c6a8d644aa5780b639d59c1b4d83b4f554bc03e","abstract_canon_sha256":"cf197b1bb75a71d17aa0ee98f20a40ae5cf128daac250cdcf4bb2fe5ef26aed2"},"schema_version":"1.0"},"canonical_sha256":"b0880861a9c43cfd5280d58b531cd7e965b112672d24ab69f91ecb6f804dfa40","source":{"kind":"arxiv","id":"2504.13052","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.13052","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"arxiv_version","alias_value":"2504.13052v1","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.13052","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"pith_short_12","alias_value":"WCEAQYNJYQ6P","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"pith_short_16","alias_value":"WCEAQYNJYQ6P2UUA","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"pith_short_8","alias_value":"WCEAQYNJ","created_at":"2026-07-05T10:50:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WCEAQYNJYQ6P2UUA2WFVGHGX5F","target":"record","payload":{"canonical_record":{"source":{"id":"2504.13052","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-17T16:09:12Z","cross_cats_sorted":[],"title_canon_sha256":"c0ccf585975a5a6084b9c8b43c6a8d644aa5780b639d59c1b4d83b4f554bc03e","abstract_canon_sha256":"cf197b1bb75a71d17aa0ee98f20a40ae5cf128daac250cdcf4bb2fe5ef26aed2"},"schema_version":"1.0"},"canonical_sha256":"b0880861a9c43cfd5280d58b531cd7e965b112672d24ab69f91ecb6f804dfa40","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:36.791104Z","signature_b64":"QMTnE6tWTcIGiv9GsjILab6tqY1L7hZbyjDQOUaLbQvlvI5PC/AKc9eCrY8njsaPFEjujrJKJAAwG1KhQ7ovAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0880861a9c43cfd5280d58b531cd7e965b112672d24ab69f91ecb6f804dfa40","last_reissued_at":"2026-07-05T10:50:36.790632Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:36.790632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.13052","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":"2026-07-05T10:50:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MNsGss3cvKD25pPibB+0JcFdyjh0UjtyPxFfaEsoFmcNqyY7PDTYdLg42kJQENDUgb4+CuVdn40M5WzER0rMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T23:36:42.522728Z"},"content_sha256":"2955981149bcc94a6ad9704f1d261f4c113f756382aa2bf49c75781bb7f3d3a5","schema_version":"1.0","event_id":"sha256:2955981149bcc94a6ad9704f1d261f4c113f756382aa2bf49c75781bb7f3d3a5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WCEAQYNJYQ6P2UUA2WFVGHGX5F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GraphAttack: Exploiting Representational Blindspots in LLM Safety Mechanisms","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"An Wang, Sinan He","submitted_at":"2025-04-17T16:09:12Z","abstract_excerpt":"Large Language Models (LLMs) have been equipped with safety mechanisms to prevent harmful outputs, but these guardrails can often be bypassed through \"jailbreak\" prompts. This paper introduces a novel graph-based approach to systematically generate jailbreak prompts through semantic transformations. We represent malicious prompts as nodes in a graph structure with edges denoting different transformations, leveraging Abstract Meaning Representation (AMR) and Resource Description Framework (RDF) to parse user goals into semantic components that can be manipulated to evade safety filters. We demo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.13052","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/2504.13052/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":"2026-07-05T10:50:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V+5dnaOJknPtv4IgqSal0zUExmEAjUoPVn/Fq86rkZWSCC+VcxTCJ2Oq31PhMULBoqUyBinJDCuRCqgP+E5jAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T23:36:42.523806Z"},"content_sha256":"2c2c48e5a3f700a9394d92bf7d23521364ea9920ef253dc3b696446a15ab269f","schema_version":"1.0","event_id":"sha256:2c2c48e5a3f700a9394d92bf7d23521364ea9920ef253dc3b696446a15ab269f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F/bundle.json","state_url":"https://pith.science/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F/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":"2026-08-16T23:36:42Z","links":{"resolver":"https://pith.science/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F","bundle":"https://pith.science/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F/bundle.json","state":"https://pith.science/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WCEAQYNJYQ6P2UUA2WFVGHGX5F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WCEAQYNJYQ6P2UUA2WFVGHGX5F","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":"cf197b1bb75a71d17aa0ee98f20a40ae5cf128daac250cdcf4bb2fe5ef26aed2","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-17T16:09:12Z","title_canon_sha256":"c0ccf585975a5a6084b9c8b43c6a8d644aa5780b639d59c1b4d83b4f554bc03e"},"schema_version":"1.0","source":{"id":"2504.13052","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.13052","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"arxiv_version","alias_value":"2504.13052v1","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.13052","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"pith_short_12","alias_value":"WCEAQYNJYQ6P","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"pith_short_16","alias_value":"WCEAQYNJYQ6P2UUA","created_at":"2026-07-05T10:50:36Z"},{"alias_kind":"pith_short_8","alias_value":"WCEAQYNJ","created_at":"2026-07-05T10:50:36Z"}],"graph_snapshots":[{"event_id":"sha256:2c2c48e5a3f700a9394d92bf7d23521364ea9920ef253dc3b696446a15ab269f","target":"graph","created_at":"2026-07-05T10:50:36Z","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/2504.13052/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have been equipped with safety mechanisms to prevent harmful outputs, but these guardrails can often be bypassed through \"jailbreak\" prompts. This paper introduces a novel graph-based approach to systematically generate jailbreak prompts through semantic transformations. We represent malicious prompts as nodes in a graph structure with edges denoting different transformations, leveraging Abstract Meaning Representation (AMR) and Resource Description Framework (RDF) to parse user goals into semantic components that can be manipulated to evade safety filters. We demo","authors_text":"An Wang, Sinan He","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-17T16:09:12Z","title":"GraphAttack: Exploiting Representational Blindspots in LLM Safety Mechanisms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.13052","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":"sha256:2955981149bcc94a6ad9704f1d261f4c113f756382aa2bf49c75781bb7f3d3a5","target":"record","created_at":"2026-07-05T10:50:36Z","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":"cf197b1bb75a71d17aa0ee98f20a40ae5cf128daac250cdcf4bb2fe5ef26aed2","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2025-04-17T16:09:12Z","title_canon_sha256":"c0ccf585975a5a6084b9c8b43c6a8d644aa5780b639d59c1b4d83b4f554bc03e"},"schema_version":"1.0","source":{"id":"2504.13052","kind":"arxiv","version":1}},"canonical_sha256":"b0880861a9c43cfd5280d58b531cd7e965b112672d24ab69f91ecb6f804dfa40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0880861a9c43cfd5280d58b531cd7e965b112672d24ab69f91ecb6f804dfa40","first_computed_at":"2026-07-05T10:50:36.790632Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:36.790632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QMTnE6tWTcIGiv9GsjILab6tqY1L7hZbyjDQOUaLbQvlvI5PC/AKc9eCrY8njsaPFEjujrJKJAAwG1KhQ7ovAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:36.791104Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.13052","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2955981149bcc94a6ad9704f1d261f4c113f756382aa2bf49c75781bb7f3d3a5","sha256:2c2c48e5a3f700a9394d92bf7d23521364ea9920ef253dc3b696446a15ab269f"],"state_sha256":"0c1e65ec742bc76dde922dc6fa581786bd2877c51256f9441f294c594f818e28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dWXVkyYmq6X/EdqOv+NJ/KBvodKz8Oaju1XV6gUj50VBbvCMlcPH9YjsymQbri0pgkoQ00f8Yc5u9BXNyAKkAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T23:36:42.530493Z","bundle_sha256":"86684f2d344c2c104c0d245f35240195e12d8fbfa39488dd50aa141a9a0cda4c"}}