{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G6QRGPSGCDFURCWKE7BFYFUA65","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":"7a09f81fd7e313b4173e0d1d84e6593d65659be9b05fa349e3e76f1386323b6a","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-14T13:17:27Z","title_canon_sha256":"a7f9c89bac2b784ee0316895b7e8ce110b975bdf9380be42657fc8b45199de05"},"schema_version":"1.0","source":{"id":"2506.12496","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12496","created_at":"2026-07-05T11:49:55Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12496v2","created_at":"2026-07-05T11:49:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12496","created_at":"2026-07-05T11:49:55Z"},{"alias_kind":"pith_short_12","alias_value":"G6QRGPSGCDFU","created_at":"2026-07-05T11:49:55Z"},{"alias_kind":"pith_short_16","alias_value":"G6QRGPSGCDFURCWK","created_at":"2026-07-05T11:49:55Z"},{"alias_kind":"pith_short_8","alias_value":"G6QRGPSG","created_at":"2026-07-05T11:49:55Z"}],"graph_snapshots":[{"event_id":"sha256:8d11af4fc067324135b910ea6aa5038f601f4ccb6a37d64e23e39b409b8374f9","target":"graph","created_at":"2026-07-05T11:49:55Z","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/2506.12496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) succeed in many natural language processing tasks. However, their tendency to hallucinate - generate plausible but inconsistent or factually incorrect text - can cause significant problems in certain tasks, including response generation in dialogue. To mitigate this issue, we propose two novel graph knowledge-augmented frameworks, Dialogue Response Generation via Textualised Graphs (TG-DRG) and Graph-Aware Dialogue Response Generation (GA-DRG), which combine reasoning-guided dialogue reformulation, dialogue sense knowledge selection, and graph-enhanced response gen","authors_text":"Matthew Purver, Xiangyan Chen, Yimeng Gu, Yujian Gan","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-14T13:17:27Z","title":"Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12496","kind":"arxiv","version":2},"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":"sha256:31dd504f9a4ace1b79f20d60ce1d2e0b879ed8ce0221561b89ada5dc615039ea","target":"record","created_at":"2026-07-05T11:49:55Z","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":"7a09f81fd7e313b4173e0d1d84e6593d65659be9b05fa349e3e76f1386323b6a","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-14T13:17:27Z","title_canon_sha256":"a7f9c89bac2b784ee0316895b7e8ce110b975bdf9380be42657fc8b45199de05"},"schema_version":"1.0","source":{"id":"2506.12496","kind":"arxiv","version":2}},"canonical_sha256":"37a1133e4610cb488aca27c25c1680f7415d53154994e8c1cca4786e99a5a9e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37a1133e4610cb488aca27c25c1680f7415d53154994e8c1cca4786e99a5a9e4","first_computed_at":"2026-07-05T11:49:55.612672Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:55.612672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QdcfGSwYfaSpRR2lYCC97NWTzcYlfF4v/v/1t+nmJ1BLn2ws8erenbHlW//4XRarReOxfjp4FcoIWt/R2Q/WCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:55.613162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12496","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31dd504f9a4ace1b79f20d60ce1d2e0b879ed8ce0221561b89ada5dc615039ea","sha256:8d11af4fc067324135b910ea6aa5038f601f4ccb6a37d64e23e39b409b8374f9"],"state_sha256":"5d83063e3ae690beabe4690469da36ec7b971081eeee418b05bf7618d23c881b"}