{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BQSJY5I4RBKKFK7AMVC62MIHOM","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":"1ba81f24636f5bddabdb0b6be8586c9be3268ab251eb2749ce2d7d501036e9c0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-17T15:28:25Z","title_canon_sha256":"9c1a3cc31ad81d1a1662a3efb67a70d75b5a04012b3153bbe40e597f9b6ddb27"},"schema_version":"1.0","source":{"id":"2409.11276","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11276","created_at":"2026-07-05T09:08:15Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11276v1","created_at":"2026-07-05T09:08:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11276","created_at":"2026-07-05T09:08:15Z"},{"alias_kind":"pith_short_12","alias_value":"BQSJY5I4RBKK","created_at":"2026-07-05T09:08:15Z"},{"alias_kind":"pith_short_16","alias_value":"BQSJY5I4RBKKFK7A","created_at":"2026-07-05T09:08:15Z"},{"alias_kind":"pith_short_8","alias_value":"BQSJY5I4","created_at":"2026-07-05T09:08:15Z"}],"graph_snapshots":[{"event_id":"sha256:71d5ba39fb3d37c82786967ed60c9905acc607f6ef30cea73ecaa29b825323a0","target":"graph","created_at":"2026-07-05T09:08:15Z","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/2409.11276/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown remarkable potential across various domains, including cybersecurity. Using commercial cloud-based LLMs may be undesirable due to privacy concerns, costs, and network connectivity constraints. In this paper, we present Hackphyr, a locally fine-tuned LLM to be used as a red-team agent within network security environments. Our fine-tuned 7 billion parameter model can run on a single GPU card and achieves performance comparable with much larger and more powerful commercial models such as GPT-4. Hackphyr clearly outperforms other models, including GPT-3.5-tu","authors_text":"Carlos Catania, Maria Rigaki, Sebastian Garcia","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-17T15:28:25Z","title":"Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11276","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:c488f0aef8f5cfa9c2ab20558cd4cfc2f999acd1c31930de0ad86ec09b00c7e3","target":"record","created_at":"2026-07-05T09:08:15Z","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":"1ba81f24636f5bddabdb0b6be8586c9be3268ab251eb2749ce2d7d501036e9c0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2024-09-17T15:28:25Z","title_canon_sha256":"9c1a3cc31ad81d1a1662a3efb67a70d75b5a04012b3153bbe40e597f9b6ddb27"},"schema_version":"1.0","source":{"id":"2409.11276","kind":"arxiv","version":1}},"canonical_sha256":"0c249c751c8854a2abe06545ed31077326f0a7677351f944408f89f4ce04f371","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c249c751c8854a2abe06545ed31077326f0a7677351f944408f89f4ce04f371","first_computed_at":"2026-07-05T09:08:15.905199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:15.905199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YrkquU7UVLHEJsBoDc8CsQ4Bbnpk91CKsGYpd7XIozaOlBE3HDMgKlAuKhWzYcXgOfbxiY5sgHR7C9TULbOnAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:15.905647Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.11276","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c488f0aef8f5cfa9c2ab20558cd4cfc2f999acd1c31930de0ad86ec09b00c7e3","sha256:71d5ba39fb3d37c82786967ed60c9905acc607f6ef30cea73ecaa29b825323a0"],"state_sha256":"43304804800e193eb551289972c8966808de7249425d524c470713c3cc9e1def"}