{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:53ZFH4LOJRHMPB6YQCESXYAYOS","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":"4adaadf7972e25a996a8380de5af43ae744dd15f8cd0de0c5378546f56124cdc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T05:19:14Z","title_canon_sha256":"9f16b1a52199f604c3cbe2aae5facacb8449120c57c78d9ae8f48e838eb3764a"},"schema_version":"1.0","source":{"id":"2501.09957","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09957","created_at":"2026-07-05T10:03:51Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09957v2","created_at":"2026-07-05T10:03:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09957","created_at":"2026-07-05T10:03:51Z"},{"alias_kind":"pith_short_12","alias_value":"53ZFH4LOJRHM","created_at":"2026-07-05T10:03:51Z"},{"alias_kind":"pith_short_16","alias_value":"53ZFH4LOJRHMPB6Y","created_at":"2026-07-05T10:03:51Z"},{"alias_kind":"pith_short_8","alias_value":"53ZFH4LO","created_at":"2026-07-05T10:03:51Z"}],"graph_snapshots":[{"event_id":"sha256:0b26fe760969aba916603164be37290f9b27b91fad42bfbf8edb52c2911658f5","target":"graph","created_at":"2026-07-05T10:03:51Z","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/2501.09957/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To mitigate the hallucination and knowledge deficiency in large language models (LLMs), Knowledge Graph (KG)-based Retrieval-Augmented Generation (RAG) has shown promising potential by utilizing KGs as external resource to enhance LLMs reasoning. However, existing KG-RAG approaches struggle with a trade-off between flexibility and retrieval quality. Modular methods prioritize flexibility by avoiding the use of KG-fine-tuned models during retrieval, leading to fixed retrieval strategies and suboptimal retrieval quality. Conversely, coupled methods embed KG information within models to improve r","authors_text":"Ao Ke, Hairu Wang, S Kevin Zhou, Xike Xie, Yuan Feng, Yukun Cao, Zengyi Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T05:19:14Z","title":"FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09957","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:b3747436aef1ba63618281ce66177ef60140bed8446e316537d5d89ec7b8910c","target":"record","created_at":"2026-07-05T10:03:51Z","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":"4adaadf7972e25a996a8380de5af43ae744dd15f8cd0de0c5378546f56124cdc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-01-17T05:19:14Z","title_canon_sha256":"9f16b1a52199f604c3cbe2aae5facacb8449120c57c78d9ae8f48e838eb3764a"},"schema_version":"1.0","source":{"id":"2501.09957","kind":"arxiv","version":2}},"canonical_sha256":"eef253f16e4c4ec787d880892be01874be7ed29e105fcd7686aeaed679b640e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eef253f16e4c4ec787d880892be01874be7ed29e105fcd7686aeaed679b640e3","first_computed_at":"2026-07-05T10:03:51.234951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:51.234951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"05U0a/bNjtjJBix6d8mUS3lnuy7G/+ZdWEFYW1QtFJ7iLeoV4e1IBLkp/L19EyV7Hf4hqd5Wu+CFbfP57Ft6AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:51.235482Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09957","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3747436aef1ba63618281ce66177ef60140bed8446e316537d5d89ec7b8910c","sha256:0b26fe760969aba916603164be37290f9b27b91fad42bfbf8edb52c2911658f5"],"state_sha256":"33f2f7eca34b6a43915d50296ac238501eaba4f68c6cfc3b86d2fb52222caefe"}