{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AT4WI3XMKIKVWGMTUN6TGJQHCY","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":"a28ed8fa3abf284f92bf76087eaf277e61e08e8b3ddbce231d30a0b2307013f9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:17:43Z","title_canon_sha256":"9bed5ba80402a544fdf80a8549a63dcc57a653763cd4e4aaff16b314b9d6977d"},"schema_version":"1.0","source":{"id":"2410.10315","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10315","created_at":"2026-07-05T09:20:25Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10315v2","created_at":"2026-07-05T09:20:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10315","created_at":"2026-07-05T09:20:25Z"},{"alias_kind":"pith_short_12","alias_value":"AT4WI3XMKIKV","created_at":"2026-07-05T09:20:25Z"},{"alias_kind":"pith_short_16","alias_value":"AT4WI3XMKIKVWGMT","created_at":"2026-07-05T09:20:25Z"},{"alias_kind":"pith_short_8","alias_value":"AT4WI3XM","created_at":"2026-07-05T09:20:25Z"}],"graph_snapshots":[{"event_id":"sha256:f1deaae158440d5149bc1d13b079e12775416949391a1d301ff1977ebb3174aa","target":"graph","created_at":"2026-07-05T09:20:25Z","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/2410.10315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents EasyRAG, a simple, lightweight, and efficient retrieval-augmented generation framework for automated network operations. Our framework has three advantages. The first is accurate question answering. We designed a straightforward RAG scheme based on (1) a specific data processing workflow (2) dual-route sparse retrieval for coarse ranking (3) LLM Reranker for reranking (4) LLM answer generation and optimization. This approach achieved first place in the GLM4 track in the preliminary round and second place in the GLM4 track in the semifinals. The second is simple deployment. ","authors_text":"Dongdong Kuang, Richong Zhang, Yaowei Zheng, Zhangchi Feng, Zhijie Nie, Zhongyuan Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:17:43Z","title":"EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10315","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:a3f20de7aea456a84557ec3a6790e2ae2f158cdb7314358aaa994fe40850d825","target":"record","created_at":"2026-07-05T09:20:25Z","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":"a28ed8fa3abf284f92bf76087eaf277e61e08e8b3ddbce231d30a0b2307013f9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:17:43Z","title_canon_sha256":"9bed5ba80402a544fdf80a8549a63dcc57a653763cd4e4aaff16b314b9d6977d"},"schema_version":"1.0","source":{"id":"2410.10315","kind":"arxiv","version":2}},"canonical_sha256":"04f9646eec52155b1993a37d332607160b2bbd49669f2be7ed1c8395f13a4c10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04f9646eec52155b1993a37d332607160b2bbd49669f2be7ed1c8395f13a4c10","first_computed_at":"2026-07-05T09:20:25.332289Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:20:25.332289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FyGfFZCiLJqkyDpyzImPjZqFS/vPRDuEnrs5rkZch5x2Gs4WUHimdAevq8Onlw2FUSWL3ui6cIqNDiu/6bmSAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:20:25.332732Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.10315","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3f20de7aea456a84557ec3a6790e2ae2f158cdb7314358aaa994fe40850d825","sha256:f1deaae158440d5149bc1d13b079e12775416949391a1d301ff1977ebb3174aa"],"state_sha256":"bf3176c8f8b740c49f747b77bc0d2da2d5324358c872857d2c4e3b3991c300c4"}