{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZSJMHZN24TLZCBAYMKITZ5JUC3","short_pith_number":"pith:ZSJMHZN2","canonical_record":{"source":{"id":"2503.15205","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-03-19T13:47:28Z","cross_cats_sorted":[],"title_canon_sha256":"35d26be867d17d7478014200a917cec7f3d4fd7bd72c89ea666070d9dc4456a6","abstract_canon_sha256":"0bb09a88da7359cfcd8b7b528395fe9fa43e94eac130a2327e04acdb9ee1e58b"},"schema_version":"1.0"},"canonical_sha256":"cc92c3e5bae4d791041862913cf53416ed25a0ef3a143c8386db7e3c8fbfc74f","source":{"kind":"arxiv","id":"2503.15205","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15205","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15205v3","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15205","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZSJMHZN24TLZ","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZSJMHZN24TLZCBAY","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZSJMHZN2","created_at":"2026-06-23T01:11:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZSJMHZN24TLZCBAYMKITZ5JUC3","target":"record","payload":{"canonical_record":{"source":{"id":"2503.15205","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-03-19T13:47:28Z","cross_cats_sorted":[],"title_canon_sha256":"35d26be867d17d7478014200a917cec7f3d4fd7bd72c89ea666070d9dc4456a6","abstract_canon_sha256":"0bb09a88da7359cfcd8b7b528395fe9fa43e94eac130a2327e04acdb9ee1e58b"},"schema_version":"1.0"},"canonical_sha256":"cc92c3e5bae4d791041862913cf53416ed25a0ef3a143c8386db7e3c8fbfc74f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:11:54.809590Z","signature_b64":"bxyRHCcayirUG7j/4zMuULpwagSeKsDaWU1Fi1Rxx1d0DXrXLATL/Lshva4iGLfr9OXykfUtDnCbz4DZNBeKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc92c3e5bae4d791041862913cf53416ed25a0ef3a143c8386db7e3c8fbfc74f","last_reissued_at":"2026-06-23T01:11:54.808963Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:11:54.808963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.15205","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-23T01:11:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9FB+hK7wz5MPq/5fDI31vgsF1VU0vofSRndFKchFnDx0bb2J7/5c+LQDyapIkAU51mWquOnNGaI/scLmqFJWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:31:55.914147Z"},"content_sha256":"f565424b86601bfce1b7a4c76bff46d58248396d99db75c82a5724f60e4b7281","schema_version":"1.0","event_id":"sha256:f565424b86601bfce1b7a4c76bff46d58248396d99db75c82a5724f60e4b7281"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZSJMHZN24TLZCBAYMKITZ5JUC3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Peek Behind the Curtain: Using Step-Around Prompt Engineering to Identify Bias and Misinformation in GenAI Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Don Hickerson (1), Mike Perkins (1) ((1) British University Vietnam)","submitted_at":"2025-03-19T13:47:28Z","abstract_excerpt":"Step-around prompting is a form of adversarial prompt engineering in which a user strategically reframes, sequences, or contextualises requests to test whether a generative AI model's safety guardrails, alignment mechanisms, or bias mitigations can be undermined, inconsistently applied, or bypassed outright. This study examines this technique through the lens of academic ethics, situating it as a tool that has a clear impact on academic integrity, responsible conduct of research, duty of care to students, and institutional oversight of GenAI use in higher education. We argue that step-around p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15205","kind":"arxiv","version":3},"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/2503.15205/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":"2026-06-23T01:11:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"21VxPbOyMofkjxW5HVAqHqbkzXhy7LzXfK4occ/pp1P4bi5qD91DMeeKL1arRFCj5XstpcIaljw/jkSBqzk7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:31:55.914549Z"},"content_sha256":"67661367ddc12e156a6582d5ea8f81419c29ebf26b614fc99bdc72f6de926a9e","schema_version":"1.0","event_id":"sha256:67661367ddc12e156a6582d5ea8f81419c29ebf26b614fc99bdc72f6de926a9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3/bundle.json","state_url":"https://pith.science/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3/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":"2026-07-07T10:31:55Z","links":{"resolver":"https://pith.science/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3","bundle":"https://pith.science/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3/bundle.json","state":"https://pith.science/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZSJMHZN24TLZCBAYMKITZ5JUC3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZSJMHZN24TLZCBAYMKITZ5JUC3","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":"0bb09a88da7359cfcd8b7b528395fe9fa43e94eac130a2327e04acdb9ee1e58b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-03-19T13:47:28Z","title_canon_sha256":"35d26be867d17d7478014200a917cec7f3d4fd7bd72c89ea666070d9dc4456a6"},"schema_version":"1.0","source":{"id":"2503.15205","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15205","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15205v3","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15205","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZSJMHZN24TLZ","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZSJMHZN24TLZCBAY","created_at":"2026-06-23T01:11:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZSJMHZN2","created_at":"2026-06-23T01:11:54Z"}],"graph_snapshots":[{"event_id":"sha256:67661367ddc12e156a6582d5ea8f81419c29ebf26b614fc99bdc72f6de926a9e","target":"graph","created_at":"2026-06-23T01:11:54Z","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/2503.15205/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Step-around prompting is a form of adversarial prompt engineering in which a user strategically reframes, sequences, or contextualises requests to test whether a generative AI model's safety guardrails, alignment mechanisms, or bias mitigations can be undermined, inconsistently applied, or bypassed outright. This study examines this technique through the lens of academic ethics, situating it as a tool that has a clear impact on academic integrity, responsible conduct of research, duty of care to students, and institutional oversight of GenAI use in higher education. We argue that step-around p","authors_text":"Don Hickerson (1), Mike Perkins (1) ((1) British University Vietnam)","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-03-19T13:47:28Z","title":"A Peek Behind the Curtain: Using Step-Around Prompt Engineering to Identify Bias and Misinformation in GenAI Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15205","kind":"arxiv","version":3},"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:f565424b86601bfce1b7a4c76bff46d58248396d99db75c82a5724f60e4b7281","target":"record","created_at":"2026-06-23T01:11:54Z","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":"0bb09a88da7359cfcd8b7b528395fe9fa43e94eac130a2327e04acdb9ee1e58b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2025-03-19T13:47:28Z","title_canon_sha256":"35d26be867d17d7478014200a917cec7f3d4fd7bd72c89ea666070d9dc4456a6"},"schema_version":"1.0","source":{"id":"2503.15205","kind":"arxiv","version":3}},"canonical_sha256":"cc92c3e5bae4d791041862913cf53416ed25a0ef3a143c8386db7e3c8fbfc74f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc92c3e5bae4d791041862913cf53416ed25a0ef3a143c8386db7e3c8fbfc74f","first_computed_at":"2026-06-23T01:11:54.808963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:11:54.808963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bxyRHCcayirUG7j/4zMuULpwagSeKsDaWU1Fi1Rxx1d0DXrXLATL/Lshva4iGLfr9OXykfUtDnCbz4DZNBeKCw==","signature_status":"signed_v1","signed_at":"2026-06-23T01:11:54.809590Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15205","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f565424b86601bfce1b7a4c76bff46d58248396d99db75c82a5724f60e4b7281","sha256:67661367ddc12e156a6582d5ea8f81419c29ebf26b614fc99bdc72f6de926a9e"],"state_sha256":"5f0c83f184637fa39564c61443c480eb1996b50917061f172a4d95c17eac2603"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ArcwebAYPnKsmcQ0JUYv/+j5bDwSWIdMy0p7XEg0pCuu6tdAbB4SJnWwJT4eWjHDKUtQ0qqXF15nZ+TMacX+BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:31:55.916415Z","bundle_sha256":"84a7ea2e8fcb2070624315b94cac14476210ef9ba42fb0cefbc8b144e44e4ba2"}}