{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4IIDPVM7PDLSFM7XS2ZL6N7ZSX","short_pith_number":"pith:4IIDPVM7","canonical_record":{"source":{"id":"2407.00075","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T19:18:16Z","cross_cats_sorted":["cs.CL","cs.CR","cs.LG"],"title_canon_sha256":"46f1a94988a0ce7be83bc28d44fa6c03f80cca366070e41b4588719e4a5c2ecc","abstract_canon_sha256":"a38602cfeda0a95e22522a35d34dc77577ffcaefa53f7fbabd3fd12082c43971"},"schema_version":"1.0"},"canonical_sha256":"e21037d59f78d722b3f796b2bf37f995df8210a267f01587b7b0f4bf6d161165","source":{"kind":"arxiv","id":"2407.00075","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00075","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00075v5","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00075","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"pith_short_12","alias_value":"4IIDPVM7PDLS","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"pith_short_16","alias_value":"4IIDPVM7PDLSFM7X","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"pith_short_8","alias_value":"4IIDPVM7","created_at":"2026-07-05T10:21:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4IIDPVM7PDLSFM7XS2ZL6N7ZSX","target":"record","payload":{"canonical_record":{"source":{"id":"2407.00075","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T19:18:16Z","cross_cats_sorted":["cs.CL","cs.CR","cs.LG"],"title_canon_sha256":"46f1a94988a0ce7be83bc28d44fa6c03f80cca366070e41b4588719e4a5c2ecc","abstract_canon_sha256":"a38602cfeda0a95e22522a35d34dc77577ffcaefa53f7fbabd3fd12082c43971"},"schema_version":"1.0"},"canonical_sha256":"e21037d59f78d722b3f796b2bf37f995df8210a267f01587b7b0f4bf6d161165","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:21.256844Z","signature_b64":"i5QQEnN921A03Th9s4mPyuTRQGTaU08aK0BUMFhVcFctxkKPDc0xOuN3vjbdEovAdLXH0g57+482m6MzYpScAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e21037d59f78d722b3f796b2bf37f995df8210a267f01587b7b0f4bf6d161165","last_reissued_at":"2026-07-05T10:21:21.256337Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:21.256337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.00075","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":"2026-07-05T10:21:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zhwKY21TAuJnfyxBteeOTu0ZgWhseOzYhiv0qZGbXzpHTiy0a93vR9SJ3GSjz5QMlcWFBVnNqoqjvNoLXntaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:25:41.888977Z"},"content_sha256":"f6f3854ff9840accb57f69bec1e9ac046aceb8cf41a44cb3b25d889048a8c826","schema_version":"1.0","event_id":"sha256:f6f3854ff9840accb57f69bec1e9ac046aceb8cf41a44cb3b25d889048a8c826"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4IIDPVM7PDLSFM7XS2ZL6N7ZSX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CR","cs.LG"],"primary_cat":"cs.AI","authors_text":"Anton Xue, Avishree Khare, Eric Wong, Rajeev Alur, Surbhi Goel","submitted_at":"2024-06-21T19:18:16Z","abstract_excerpt":"We study how to subvert large language models (LLMs) from following prompt-specified rules. We first formalize rule-following as inference in propositional Horn logic, a mathematical system in which rules have the form \"if $P$ and $Q$, then $R$\" for some propositions $P$, $Q$, and $R$. Next, we prove that although small transformers can faithfully follow such rules, maliciously crafted prompts can still mislead both theoretical constructions and models learned from data. Furthermore, we demonstrate that popular attack algorithms on LLMs find adversarial prompts and induce attention patterns th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00075","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/2407.00075/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":"2026-07-05T10:21:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pAfW7c6q6ForruCmKd48VM0rQBmWXzQ9blSAAHOSPOrmcwAFZT4Nn1iCP3JCn1oPiQG3gdOVFuTBv/HDRCijAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:25:41.889496Z"},"content_sha256":"470d679283fb36e846330acb5a6f66ce4df7a9d6bf7d74682bdedf45d092cf9d","schema_version":"1.0","event_id":"sha256:470d679283fb36e846330acb5a6f66ce4df7a9d6bf7d74682bdedf45d092cf9d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX/bundle.json","state_url":"https://pith.science/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX/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":"2026-08-04T03:25:41Z","links":{"resolver":"https://pith.science/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX","bundle":"https://pith.science/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX/bundle.json","state":"https://pith.science/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4IIDPVM7PDLSFM7XS2ZL6N7ZSX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4IIDPVM7PDLSFM7XS2ZL6N7ZSX","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":"a38602cfeda0a95e22522a35d34dc77577ffcaefa53f7fbabd3fd12082c43971","cross_cats_sorted":["cs.CL","cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T19:18:16Z","title_canon_sha256":"46f1a94988a0ce7be83bc28d44fa6c03f80cca366070e41b4588719e4a5c2ecc"},"schema_version":"1.0","source":{"id":"2407.00075","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00075","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00075v5","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00075","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"pith_short_12","alias_value":"4IIDPVM7PDLS","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"pith_short_16","alias_value":"4IIDPVM7PDLSFM7X","created_at":"2026-07-05T10:21:21Z"},{"alias_kind":"pith_short_8","alias_value":"4IIDPVM7","created_at":"2026-07-05T10:21:21Z"}],"graph_snapshots":[{"event_id":"sha256:470d679283fb36e846330acb5a6f66ce4df7a9d6bf7d74682bdedf45d092cf9d","target":"graph","created_at":"2026-07-05T10:21:21Z","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/2407.00075/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study how to subvert large language models (LLMs) from following prompt-specified rules. We first formalize rule-following as inference in propositional Horn logic, a mathematical system in which rules have the form \"if $P$ and $Q$, then $R$\" for some propositions $P$, $Q$, and $R$. Next, we prove that although small transformers can faithfully follow such rules, maliciously crafted prompts can still mislead both theoretical constructions and models learned from data. Furthermore, we demonstrate that popular attack algorithms on LLMs find adversarial prompts and induce attention patterns th","authors_text":"Anton Xue, Avishree Khare, Eric Wong, Rajeev Alur, Surbhi Goel","cross_cats":["cs.CL","cs.CR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T19:18:16Z","title":"Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00075","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:f6f3854ff9840accb57f69bec1e9ac046aceb8cf41a44cb3b25d889048a8c826","target":"record","created_at":"2026-07-05T10:21:21Z","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":"a38602cfeda0a95e22522a35d34dc77577ffcaefa53f7fbabd3fd12082c43971","cross_cats_sorted":["cs.CL","cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T19:18:16Z","title_canon_sha256":"46f1a94988a0ce7be83bc28d44fa6c03f80cca366070e41b4588719e4a5c2ecc"},"schema_version":"1.0","source":{"id":"2407.00075","kind":"arxiv","version":5}},"canonical_sha256":"e21037d59f78d722b3f796b2bf37f995df8210a267f01587b7b0f4bf6d161165","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e21037d59f78d722b3f796b2bf37f995df8210a267f01587b7b0f4bf6d161165","first_computed_at":"2026-07-05T10:21:21.256337Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:21.256337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i5QQEnN921A03Th9s4mPyuTRQGTaU08aK0BUMFhVcFctxkKPDc0xOuN3vjbdEovAdLXH0g57+482m6MzYpScAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:21.256844Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00075","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6f3854ff9840accb57f69bec1e9ac046aceb8cf41a44cb3b25d889048a8c826","sha256:470d679283fb36e846330acb5a6f66ce4df7a9d6bf7d74682bdedf45d092cf9d"],"state_sha256":"45b7cc873a9245de1357ff1562b8baa5eabcad81525d13e6ad45d73a5858582d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o5ru9jqf+a03gOIZGX+q/W4ETNTXtqfWvwDUSXgXjFOpgRTan61JZCgq9ShRkrvvqXiSd9iWu9aHe+1h1ygkBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T03:25:41.894131Z","bundle_sha256":"5031b58c8f1bc076ca4e56a44a9f90363c877fb2ebc20a274e2605273f6d2166"}}