{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P46LBUDMRFWBZQD3HQMAXHK4CB","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":"28d1eada1c641faad351f6a2c9c2abef7da1f35328b9019d4a697a3c39e1a3ec","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:59:07Z","title_canon_sha256":"8bfd61b451cb06199b36a536e7f31984724bce2e1a6e9857895e2d9329fb4ef2"},"schema_version":"1.0","source":{"id":"2509.04615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04615","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04615v1","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04615","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_12","alias_value":"P46LBUDMRFWB","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_16","alias_value":"P46LBUDMRFWBZQD3","created_at":"2026-07-05T12:05:26Z"},{"alias_kind":"pith_short_8","alias_value":"P46LBUDM","created_at":"2026-07-05T12:05:26Z"}],"graph_snapshots":[{"event_id":"sha256:850d4615f49dc639f12f42b37ad7f8e7867226f854ba86f296cf847b21d67b31","target":"graph","created_at":"2026-07-05T12:05:26Z","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/2509.04615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of Large Language Models (LLMs) has introduced critical security challenges, where adversarial actors can manipulate input prompts to cause significant harm and circumvent safety alignments. These prompt-based attacks exploit vulnerabilities in a model's design, training, and contextual understanding, leading to intellectual property theft, misinformation generation, and erosion of user trust. A systematic understanding of these attack vectors is the foundational step toward developing robust countermeasures. This paper presents a comprehensive literature survey of prompt-bas","authors_text":"Atharv Prajod Padmalayam, Brennen Hill, Sujay Chandra Shekara Sharma, Surendra Parla, Venkata Abhijeeth Balabhadruni","cross_cats":["cs.CR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:59:07Z","title":"Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04615","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":"sha256:1d33cad0d57cd0f6714e778d6522bb2a7c8280b94a77e4edb66f0c14bd28d120","target":"record","created_at":"2026-07-05T12:05:26Z","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":"28d1eada1c641faad351f6a2c9c2abef7da1f35328b9019d4a697a3c39e1a3ec","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-04T18:59:07Z","title_canon_sha256":"8bfd61b451cb06199b36a536e7f31984724bce2e1a6e9857895e2d9329fb4ef2"},"schema_version":"1.0","source":{"id":"2509.04615","kind":"arxiv","version":1}},"canonical_sha256":"7f3cb0d06c896c1cc07b3c180b9d5c107e38b51763a9bc3485565f967e866719","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f3cb0d06c896c1cc07b3c180b9d5c107e38b51763a9bc3485565f967e866719","first_computed_at":"2026-07-05T12:05:26.278664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:26.278664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gvYesummSaBzbVWFfyHTKM8/YCcejKwrUN49VVp8eoGQos5l8wqmzvXIZXTTDNGDi3aaZY98TjVbuzMSBZdwAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:26.279158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d33cad0d57cd0f6714e778d6522bb2a7c8280b94a77e4edb66f0c14bd28d120","sha256:850d4615f49dc639f12f42b37ad7f8e7867226f854ba86f296cf847b21d67b31"],"state_sha256":"e71fbcdc6afa1f2586dce5043b34bcff22d1a09fde960c4aec02564be3e7add1"}