Paper Citation Record · LEDGER

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2507.16826.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.16826 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:48:44.405224Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T07:19:44.756174Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T10:11:28.063750Z

Reference resolution

42 of 42 outbound references displayed

verified exact4
verified fuzzy14
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 433ecdfa-d662-48e1-8c66-8f2cb140c258 · outbound

This paper cites Collaboration between intelligent agents and large language models: A novel approach for enhancing code generation capability.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Collaboration between intelligent agents and large language models: A novel approach for enhancing code generation capability

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:48:46.685654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7585327b-3193-40fb-a0f2-3600853ad075 · outbound

This paper cites Rouge metric evaluation for text summarization techniques.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Rouge metric evaluation for text summarization techniques

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:50.401244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7983b3f-6628-485e-95b0-08f02a463ea6 · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:39.457585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3fbb74-013d-4823-8be2-d30b09734ef6 · outbound

This paper cites an unresolved cited work.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:48:50.114291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cbde038e-de72-4ee1-854f-b783a0a7e400 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:39.690680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e382ff-d4ce-41f5-8b36-1235da575a04 · outbound

This paper cites IIRC: A Dataset of Incomplete Information Reading Comprehension Questions.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:46.413199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d8ffd0a-e073-4495-a1c9-7cacca898690 · outbound

This paper cites Cuerag: Dynamic multi-output cue memory under h framework for retrieval- augmented generation.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Cuerag: Dynamic multi-output cue memory under h framework for retrieval- augmented generation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:49.894452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a62a081-f89d-4cf5-bcd3-f16031a9bf3c · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:40.105704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab3ba3b-3620-4cb8-bccb-3c293161646a · outbound

This paper cites Retrieval augmented language model pre-training, in: International conference on machine learning, PMLR.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Retrieval augmented language model pre-training, in: International conference on machine learning, PMLR

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:49.720823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5dbd4762-5269-4ab7-a282-229137204a36 · outbound

This paper cites Active retrieval augmented generation, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Active retrieval augmented generation, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:49.523898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7b53566-f118-462c-ba9b-bd0dc596dc56 · outbound

This paper cites A two-stage proactive dialogue generator for efficient clinical information collec- tion using large language model.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models A two-stage proactive dialogue generator for efficient clinical information collec- tion using large language model

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:49.242644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b621706a-0338-4c6e-899b-905a84d0d1a9 · outbound

This paper cites Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:40.606729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5f7cf2-fe90-4c7b-9038-bb0baf4a02df · outbound

This paper cites BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:40.739861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6733bf7f-dc3a-41df-a521-ab11e0c28845 · outbound

This paper cites Bcembedding: Bilingual and crosslingual embedding for rag.https://github.com/netease-youdao/BCEmbedding.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Bcembedding: Bilingual and crosslingual embedding for rag.https://github.com/netease-youdao/BCEmbedding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:49.013020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 32f0e026-a632-43ae-b64d-e1b3df959460 · outbound

This paper cites Coregen: Contextualized code representation learning for commit message generation.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Coregen: Contextualized code representation learning for commit message generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:48.789164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88d02a52-c2c2-4dc5-9563-7b5f3fdeeaea · outbound

This paper cites Training language models to follow instructions with human feedback.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Training language models to follow instructions with human feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:41.133754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c882a02-f0c1-445d-a216-a169758b3abf · outbound

This paper cites Assessing llms in mali- cious code deobfuscation of real-world malware campaigns.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Assessing llms in mali- cious code deobfuscation of real-world malware campaigns

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:48:46.191799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 383f9136-8d88-4c5a-b740-5bb83f540734 · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:41.341666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae724cc-5f3a-4bc7-91b0-ca99c99bdcb5 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:41.494151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987412a3-fda2-4a06-8abc-c9d97d748a38 · outbound

This paper cites A structured review of the validity of bleu.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models A structured review of the validity of bleu

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:48.530424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84877bfe-a6f8-443d-b575-16dd9e6aa4f7 · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models The probabilistic relevance framework: Bm25 and beyond

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:48.382672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 088616b7-bf60-4000-b01d-d62f665d5c48 · outbound

This paper cites BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:45.925346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 641e98eb-1bb6-4e78-98e8-179f1ce875fd · outbound

This paper cites Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:41.985514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8ef5fd-3b4a-4cb7-8780-a4e2d54f1d6a · outbound

This paper cites ERNIE: Enhanced Representation through Knowledge Integration.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models ERNIE: Enhanced Representation through Knowledge Integration

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:42.101373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083892bf-9176-4093-90b3-65cdfb756916 · outbound

This paper cites an unresolved cited work.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:48:48.136441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8cdc241a-9964-4e3f-a7ad-1a1bb8fbb1a9 · outbound

This paper cites Transactions of the Association for Computational Linguistics 10, 539–554.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Transactions of the Association for Computational Linguistics 10, 539–554

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:47.914934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b32ea2c9-32db-412d-abc9-54be40217af4 · outbound

This paper cites Query2doc: Query Expansion with Large Language Models.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Query2doc: Query Expansion with Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:42.613093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad87454a-67db-4ceb-ab8e-add36e7dab55 · outbound

This paper cites QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:45.243731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f7cdbfc-8aa3-4924-9fae-35cc4117ccce · outbound

This paper cites CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:42.824482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211ef47f-27c5-425f-8bb8-a4f00b300b7f · outbound

This paper cites Effective Bug Detection in Graph Database Engines: An LLM-based Approach.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Effective Bug Detection in Graph Database Engines: An LLM-based Approach

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:48:44.998325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7767dad8-e981-4768-9604-52aec1f7e36c · outbound

This paper cites Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:43.097821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f15d62-dc4b-4e4c-ba50-da6e58666280 · outbound

This paper cites Tpke-qa: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Tpke-qa: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:47.606926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 783a9d03-a382-4ad8-8399-dd5dc7394c98 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models C-Pack: Packed Resources For General Chinese Embeddings

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:43.343511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d2391e-db66-4376-8111-604c9815e303 · outbound

This paper cites Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:43.476750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052d472a-30c3-41ff-bea0-bce7863337c2 · outbound

This paper cites Staf-llm: A scalable and task-adaptive fine-tuning framework for large language models in medical domain.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Staf-llm: A scalable and task-adaptive fine-tuning framework for large language models in medical domain

Reference 35

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:48:44.760700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df19d1b1-b8fa-41f2-b67a-9665a52b33da · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:43.676559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87c619e-8e64-45f9-b4d7-ded2df9ad670 · outbound

This paper cites Evalua- tionofretrieval-augmentedgeneration:Asurvey,in:CCFConference on Big Data, Springer.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Evalua- tionofretrieval-augmentedgeneration:Asurvey,in:CCFConference on Big Data, Springer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:47.421621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c2daf9e-986e-454d-838c-4cf059fb8934 · outbound

This paper cites Lgkgr:Aknowledge graphreasoningmodelusingllmsaugmentedgnns.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Lgkgr:Aknowledge graphreasoningmodelusingllmsaugmentedgnns

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:47.198442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9c9c9a6-1190-417d-86e4-0a86c2758a92 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:44.198536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5688a97c-d2c7-433e-aa7d-256935f031b4 · outbound

This paper cites Knowledge Graph-Guided Retrieval Augmented Generation.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Knowledge Graph-Guided Retrieval Augmented Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:44.293993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492ea773-cf59-4ac8-8054-3f65881749c8 · outbound

This paper cites Legn:A large language model-guided event graph network for intraoperative hypotension prediction.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Legn:A large language model-guided event graph network for intraoperative hypotension prediction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:48:46.929600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73be7522-90e6-4482-8add-fb67baac400d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:42.367466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d2c93306-d3b2-46ba-8584-4e3b1fc42d67 · inbound

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains cites this paper.

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.065724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.