{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MPMCXLMHTN7DBOYOTYWNFPD3NN","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":"0eaa488a59cbfb46fd4bdc042a67724be3e478e54f3b660f644bdd7b082eee3c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-04-05T20:31:45Z","title_canon_sha256":"449c6430e8668216d01ace5bef40c410ef357aa80d16d0e84a736ac3f4a0689c"},"schema_version":"1.0","source":{"id":"2404.04392","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04392","created_at":"2026-07-05T09:04:34Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04392v3","created_at":"2026-07-05T09:04:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04392","created_at":"2026-07-05T09:04:34Z"},{"alias_kind":"pith_short_12","alias_value":"MPMCXLMHTN7D","created_at":"2026-07-05T09:04:34Z"},{"alias_kind":"pith_short_16","alias_value":"MPMCXLMHTN7DBOYO","created_at":"2026-07-05T09:04:34Z"},{"alias_kind":"pith_short_8","alias_value":"MPMCXLMH","created_at":"2026-07-05T09:04:34Z"}],"graph_snapshots":[{"event_id":"sha256:82adc573b2a8321fb6197a98e98f2fbf043be6057ed4f23638c0478297cd3efb","target":"graph","created_at":"2026-07-05T09:04:34Z","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/2404.04392/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have gained widespread adoption across various domains, including chatbots and auto-task completion agents. However, these models are susceptible to safety vulnerabilities such as jailbreaking, prompt injection, and privacy leakage attacks. These vulnerabilities can lead to the generation of malicious content, unauthorized actions, or the disclosure of confidential information. While foundational LLMs undergo alignment training and incorporate safety measures, they are often subject to fine-tuning, or doing quantization resource-constrained environments. This study","authors_text":"Anurakt Kumar, Divyanshu Kumar, Prashanth Harshangi, Sahil Agarwal","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-04-05T20:31:45Z","title":"Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04392","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":"sha256:4a9b75894efc48cc0d5edd409adfdc47485971de359a8f5202205bd2acc7a2bb","target":"record","created_at":"2026-07-05T09:04:34Z","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":"0eaa488a59cbfb46fd4bdc042a67724be3e478e54f3b660f644bdd7b082eee3c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-04-05T20:31:45Z","title_canon_sha256":"449c6430e8668216d01ace5bef40c410ef357aa80d16d0e84a736ac3f4a0689c"},"schema_version":"1.0","source":{"id":"2404.04392","kind":"arxiv","version":3}},"canonical_sha256":"63d82bad879b7e30bb0e9e2cd2bc7b6b6ce1e299285fdb3aa0ffbd66e6801b6a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63d82bad879b7e30bb0e9e2cd2bc7b6b6ce1e299285fdb3aa0ffbd66e6801b6a","first_computed_at":"2026-07-05T09:04:34.439169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:04:34.439169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uifUHpK1dwTZBiSSBwAifxAlyFQ5rlvwQmCtLj154QSbbD9wGghFKpAmQVrLIYyaLBHu6BuwDpQoJe740wOLDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:04:34.439605Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.04392","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a9b75894efc48cc0d5edd409adfdc47485971de359a8f5202205bd2acc7a2bb","sha256:82adc573b2a8321fb6197a98e98f2fbf043be6057ed4f23638c0478297cd3efb"],"state_sha256":"dd3256a6cda2f4f1ddea40c3009c3648a88eb1dbe11341d6d9cfee543205b212"}