{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LAAHXNQTWBKIRZ2WNBFTER7XAQ","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":"3402b6c12883e675ea9d39f5ff73ee15b71d414b81a22f162930c15e78e44e6c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-04-16T18:40:01Z","title_canon_sha256":"e85397b460457cd25c9c61b3d221ca75ab19e18dae31c9d95108cbc95afd6a0e"},"schema_version":"1.0","source":{"id":"2504.12422","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.12422","created_at":"2026-07-05T10:50:16Z"},{"alias_kind":"arxiv_version","alias_value":"2504.12422v1","created_at":"2026-07-05T10:50:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.12422","created_at":"2026-07-05T10:50:16Z"},{"alias_kind":"pith_short_12","alias_value":"LAAHXNQTWBKI","created_at":"2026-07-05T10:50:16Z"},{"alias_kind":"pith_short_16","alias_value":"LAAHXNQTWBKIRZ2W","created_at":"2026-07-05T10:50:16Z"},{"alias_kind":"pith_short_8","alias_value":"LAAHXNQT","created_at":"2026-07-05T10:50:16Z"}],"graph_snapshots":[{"event_id":"sha256:dc183be498aae90f64acb780508b66ee15dc7c45b4dea3952fe5a4404433d729","target":"graph","created_at":"2026-07-05T10:50:16Z","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/2504.12422/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-stakes domains like cyber operations need responsible and trustworthy AI methods. While large language models (LLMs) are becoming increasingly popular in these domains, they still suffer from hallucinations. This research paper provides learning outcomes from a case study with LinkQ, an open-source natural language interface that was developed to combat hallucinations by forcing an LLM to query a knowledge graph (KG) for ground-truth data during question-answering (QA). We conduct a quantitative evaluation of LinkQ using a well-known KGQA dataset, showing that the system outperforms GPT-4","authors_text":"Ashley Suh, Gabriel Appleby, Harry Li, Kenneth Alperin, Steven R Gomez","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-04-16T18:40:01Z","title":"Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.12422","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":"sha256:07b2fcbb1761d798f8225405c929df954354afa23f83e22037db640a38339e82","target":"record","created_at":"2026-07-05T10:50:16Z","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":"3402b6c12883e675ea9d39f5ff73ee15b71d414b81a22f162930c15e78e44e6c","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-04-16T18:40:01Z","title_canon_sha256":"e85397b460457cd25c9c61b3d221ca75ab19e18dae31c9d95108cbc95afd6a0e"},"schema_version":"1.0","source":{"id":"2504.12422","kind":"arxiv","version":1}},"canonical_sha256":"58007bb613b05488e756684b3247f7043bd46a5150e59e456644220a719818f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58007bb613b05488e756684b3247f7043bd46a5150e59e456644220a719818f3","first_computed_at":"2026-07-05T10:50:16.238673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:16.238673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r28oZujt3Kep4OX5TvNPZUIMrBYq1NjAVwfz5/gwWkmEScTC5fe8VG/wfMrQq9U+TlEG0IdLsPNtfRQCaIG6Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:16.239162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.12422","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07b2fcbb1761d798f8225405c929df954354afa23f83e22037db640a38339e82","sha256:dc183be498aae90f64acb780508b66ee15dc7c45b4dea3952fe5a4404433d729"],"state_sha256":"04c3ddf2ed20575ccf12d69bea53e8b2b01077b1042166b707effefc0403d2fb"}