{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AIU5PFOSLW5GHHI4WHJCZXYVYD","short_pith_number":"pith:AIU5PFOS","canonical_record":{"source":{"id":"2409.13331","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-20T08:48:51Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"b2985731eef9e78e544c701fe23ea90b3c37e26a5f849faa5f4eec76e440883f","abstract_canon_sha256":"173a42293eeab5f2534a062f7e644a89193d048f977018714160e0a7eefea9aa"},"schema_version":"1.0"},"canonical_sha256":"0229d795d25dba639d1cb1d22cdf15c0d47800aaf56855328f8f18bed30f4f66","source":{"kind":"arxiv","id":"2409.13331","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13331","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13331v1","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13331","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"pith_short_12","alias_value":"AIU5PFOSLW5G","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"pith_short_16","alias_value":"AIU5PFOSLW5GHHI4","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"pith_short_8","alias_value":"AIU5PFOS","created_at":"2026-07-05T09:09:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AIU5PFOSLW5GHHI4WHJCZXYVYD","target":"record","payload":{"canonical_record":{"source":{"id":"2409.13331","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-20T08:48:51Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"b2985731eef9e78e544c701fe23ea90b3c37e26a5f849faa5f4eec76e440883f","abstract_canon_sha256":"173a42293eeab5f2534a062f7e644a89193d048f977018714160e0a7eefea9aa"},"schema_version":"1.0"},"canonical_sha256":"0229d795d25dba639d1cb1d22cdf15c0d47800aaf56855328f8f18bed30f4f66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:33.345311Z","signature_b64":"4RTVY6b/VF4KTKNVzYHojq7hLTJmNICMwYMx73k/GhSUXnPZ5nENZZTddZaImWakDbpOyzU03EnNsW/Dff26AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0229d795d25dba639d1cb1d22cdf15c0d47800aaf56855328f8f18bed30f4f66","last_reissued_at":"2026-07-05T09:09:33.344857Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:33.344857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.13331","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":"2026-07-05T09:09:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g+x5ju5KpAugCa+Aa8+l4DjXEILwy4Wd1Bo4FoODkQhHOpFVkOc4rgM0Vf5ktiNGxGpr3HAN3ODfuGU9NVmkDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:56:58.051508Z"},"content_sha256":"2d991772ce7572731016fc2bd85e22789fc7ba9a1d67d89ff65e7a95ebf16f84","schema_version":"1.0","event_id":"sha256:2d991772ce7572731016fc2bd85e22789fc7ba9a1d67d89ff65e7a95ebf16f84"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AIU5PFOSLW5GHHI4WHJCZXYVYD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.CL","authors_text":"Alfredo Cuzzocrea, Fan Wu, Hossain Shahriar, Md Abdur Rahman","submitted_at":"2024-09-20T08:48:51Z","abstract_excerpt":"Large language models (LLMs) are renowned for their exceptional capabilities, and applying to a wide range of applications. However, this widespread use brings significant vulnerabilities. Also, it is well observed that there are huge gap which lies in the need for effective detection and mitigation strategies against malicious prompt injection attacks in large language models, as current approaches may not adequately address the complexity and evolving nature of these vulnerabilities in real-world applications. Therefore, this work focuses the impact of malicious prompt injection attacks whic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13331","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/2409.13331/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":"2026-07-05T09:09:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N8aEWZ+6c3boDBrsjNZWxZpk3aVDYNeVsMfzV+gOV5AxkFkdoRWtYJxUxZMKVHqPj2lg0UeZ4Owyt/VHzrQjCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:56:58.052111Z"},"content_sha256":"01a86b3b661b0d36c296b30fd5656dc4d006fc2cbc1312108635b855c7bef558","schema_version":"1.0","event_id":"sha256:01a86b3b661b0d36c296b30fd5656dc4d006fc2cbc1312108635b855c7bef558"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD/bundle.json","state_url":"https://pith.science/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD/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":"2026-08-05T22:56:58Z","links":{"resolver":"https://pith.science/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD","bundle":"https://pith.science/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD/bundle.json","state":"https://pith.science/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIU5PFOSLW5GHHI4WHJCZXYVYD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AIU5PFOSLW5GHHI4WHJCZXYVYD","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":"173a42293eeab5f2534a062f7e644a89193d048f977018714160e0a7eefea9aa","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-20T08:48:51Z","title_canon_sha256":"b2985731eef9e78e544c701fe23ea90b3c37e26a5f849faa5f4eec76e440883f"},"schema_version":"1.0","source":{"id":"2409.13331","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13331","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13331v1","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13331","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"pith_short_12","alias_value":"AIU5PFOSLW5G","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"pith_short_16","alias_value":"AIU5PFOSLW5GHHI4","created_at":"2026-07-05T09:09:33Z"},{"alias_kind":"pith_short_8","alias_value":"AIU5PFOS","created_at":"2026-07-05T09:09:33Z"}],"graph_snapshots":[{"event_id":"sha256:01a86b3b661b0d36c296b30fd5656dc4d006fc2cbc1312108635b855c7bef558","target":"graph","created_at":"2026-07-05T09:09:33Z","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/2409.13331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are renowned for their exceptional capabilities, and applying to a wide range of applications. However, this widespread use brings significant vulnerabilities. Also, it is well observed that there are huge gap which lies in the need for effective detection and mitigation strategies against malicious prompt injection attacks in large language models, as current approaches may not adequately address the complexity and evolving nature of these vulnerabilities in real-world applications. Therefore, this work focuses the impact of malicious prompt injection attacks whic","authors_text":"Alfredo Cuzzocrea, Fan Wu, Hossain Shahriar, Md Abdur Rahman","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-20T08:48:51Z","title":"Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13331","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":"sha256:2d991772ce7572731016fc2bd85e22789fc7ba9a1d67d89ff65e7a95ebf16f84","target":"record","created_at":"2026-07-05T09:09:33Z","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":"173a42293eeab5f2534a062f7e644a89193d048f977018714160e0a7eefea9aa","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-20T08:48:51Z","title_canon_sha256":"b2985731eef9e78e544c701fe23ea90b3c37e26a5f849faa5f4eec76e440883f"},"schema_version":"1.0","source":{"id":"2409.13331","kind":"arxiv","version":1}},"canonical_sha256":"0229d795d25dba639d1cb1d22cdf15c0d47800aaf56855328f8f18bed30f4f66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0229d795d25dba639d1cb1d22cdf15c0d47800aaf56855328f8f18bed30f4f66","first_computed_at":"2026-07-05T09:09:33.344857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:33.344857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4RTVY6b/VF4KTKNVzYHojq7hLTJmNICMwYMx73k/GhSUXnPZ5nENZZTddZaImWakDbpOyzU03EnNsW/Dff26AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:33.345311Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.13331","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d991772ce7572731016fc2bd85e22789fc7ba9a1d67d89ff65e7a95ebf16f84","sha256:01a86b3b661b0d36c296b30fd5656dc4d006fc2cbc1312108635b855c7bef558"],"state_sha256":"32de933cbbf7f8b52a945296bd1d544adacaecebe6e2cc8775afa5af78a76024"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sW0VCpIasoQSTOAKnC5LKQEehh/n5nU1PsYWcjZpd0cVTMNdCtKRmXC9uoN05cyojtGHXuW6SB+yZLE4JfJcAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:56:58.056971Z","bundle_sha256":"24cad13d82e729e84774cd9ad1bfa117c759ea3131f9a11f06c31b48aae1b984"}}