{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F6CT34USJV3HUF5MENQO4OHWM5","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":"5e9d4d754ffd268b5fa75b2965baf928e857765bf2f45c9cd31011c85b02959b","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-27T00:39:24Z","title_canon_sha256":"f135ef045a61a77a3942daf9fa9d7c3c73533adfa8c10ce075ad076cd87a3d4e"},"schema_version":"1.0","source":{"id":"2410.20297","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20297","created_at":"2026-07-05T09:26:42Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20297v1","created_at":"2026-07-05T09:26:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20297","created_at":"2026-07-05T09:26:42Z"},{"alias_kind":"pith_short_12","alias_value":"F6CT34USJV3H","created_at":"2026-07-05T09:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"F6CT34USJV3HUF5M","created_at":"2026-07-05T09:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"F6CT34US","created_at":"2026-07-05T09:26:42Z"}],"graph_snapshots":[{"event_id":"sha256:650ba46528481f9f3529641e50c2c3cb5c0731ccb734f06959524a261b003f5a","target":"graph","created_at":"2026-07-05T09:26:42Z","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/2410.20297/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the widespread adoption of Large Language Models (LLMs) has sparked interest in their potential for application within the military domain. However, the current generation of LLMs demonstrate sub-optimal performance on Army use cases, due to the prevalence of domain-specific vocabulary and jargon. In order to fully leverage LLMs in-domain, many organizations have turned to fine-tuning to circumvent the prohibitive costs involved in training new LLMs from scratch. In light of this trend, we explore the viability of adapting open-source LLMs for usage in the Army domain in order","authors_text":"Daniel C. Ruiz, John Sell","cross_cats":["cs.AI","cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-27T00:39:24Z","title":"Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20297","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":"sha256:4b9d13dfdcd9ec0e45cd0e38e52d6d5ce9ed42b651c24e99236b20b1d4a89981","target":"record","created_at":"2026-07-05T09:26:42Z","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":"5e9d4d754ffd268b5fa75b2965baf928e857765bf2f45c9cd31011c85b02959b","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-27T00:39:24Z","title_canon_sha256":"f135ef045a61a77a3942daf9fa9d7c3c73533adfa8c10ce075ad076cd87a3d4e"},"schema_version":"1.0","source":{"id":"2410.20297","kind":"arxiv","version":1}},"canonical_sha256":"2f853df2924d767a17ac2360ee38f667575b9f32434f0e63b07e247c0560b5ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f853df2924d767a17ac2360ee38f667575b9f32434f0e63b07e247c0560b5ea","first_computed_at":"2026-07-05T09:26:42.524401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:42.524401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PK5uxPIM6NB8/igrlMBiJY46Tp8tiqmDwjPaVcntJEuIhh/6T9dqEj/tR+gmnQ5I/jzbY7jfDi4fu4R3N6BmBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:42.524920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.20297","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b9d13dfdcd9ec0e45cd0e38e52d6d5ce9ed42b651c24e99236b20b1d4a89981","sha256:650ba46528481f9f3529641e50c2c3cb5c0731ccb734f06959524a261b003f5a"],"state_sha256":"4024d07be2b4a77e9bff90a10f37dc56dd949a7178413adb9b3239403f6e51f1"}