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Paper Citation Record · LEDGER

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2405.20139.

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

pith.paper-citation-record.v1
2405.20139 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:38.637090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:47:17.231591Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84d1262c-bf1c-4f7d-9aaa-97af6030fc45 · inbound

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

Retrieval-Augmented Generation for AI-Generated Content: A Survey GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 283

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metadata mismatch
arxiv_id, observed 2026-05-15T13:32:17.597681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:264ccbc05e03431cf858f11406fb8e8d32e04e9379e68863b3f1340496e044b2

Observation 8ccfae1a-1a00-4cd7-b9ca-62227accdcf1 · inbound

Graph Neural Networks on Graph Databases cites this paper.

Graph Neural Networks on Graph Databases GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 39

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no resolver link, observed 2026-08-12T18:38:42.584532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:38:42.584532Z digest=sha256:774b0b693b0ab02101cbcc24470216d1f4c494769c34fe87c14b4c9e682a7b97

Observation 706ebb36-2746-418b-a301-9fed3370c5fd · inbound

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases cites this paper.

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 13

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no resolver link, observed 2026-08-11T10:46:47.617753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:46:47.617753Z digest=sha256:04a8473af83a9438ca60509af51d314dbcbf10cdd7ea2ebd01ada67afa3516b5

Observation d162ffec-b5a4-4501-8a51-4dd8587b9093 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 289

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.825594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3f95d5011c7f4b861f71c68abb6fef4863944e402b4d7ad3017ddff3b82ce708

Observation c4969b90-a7fb-4c3c-acd4-985abe80dbb6 · inbound

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation cites this paper.

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 33

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no resolver link, observed 2026-08-10T22:17:53.830751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:17:53.830751Z digest=sha256:3c550d4dbd6348b94430a630ccdb580c4994d32ab509d9a3fbe8c3c5e0dccb0e

Observation 2b0910f0-308a-4d78-97e0-26d78f57ead4 · inbound

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs cites this paper.

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 34

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no resolver link, observed 2026-08-10T19:35:35.327305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:35:35.327305Z digest=sha256:e0622a98e4677ca80d96148eac2949a0f4cfd4903370e95a027690340bc39785

Observation ccad6a3a-7c9f-470d-962e-c76aaf69051f · inbound

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG cites this paper.

KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 22

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no resolver link, observed 2026-08-07T22:03:31.317317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:03:31.317317Z digest=sha256:351e1b5cbe47867846f2cac9e82d6ca8497a1a36fac58b28eb5cddd34208fcc8

Observation 5ee03b85-9f66-4635-94dd-6e45ad8bccdb · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 39

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verified exact
arxiv_id, observed 2026-05-23T03:32:28.562091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:cac5dede56a9a22f690f1a86d3fc4f19d56ed10da91dc74c09e572579ec8de75

Observation cc25faf9-731c-4563-9d8a-b5045fd52f3b · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 59

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verified exact
arxiv_id, observed 2026-05-23T01:37:22.468591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:44b58ac2575b91b7074dfd4aa4501c7d3cef12350776595039044f9aae4a67ab

Observation d1c0a102-5ad3-4e73-b738-989ce28aa46a · inbound

Distributed Retrieval-Augmented Generation cites this paper.

Distributed Retrieval-Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 20

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no resolver link, observed 2026-08-16T04:46:38.637090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.637090Z digest=sha256:7fa623a3aa1110704ee2754ab587c5d4630110e1072b78cd533bbaf70202d734

Observation ba965757-0c90-4259-acb7-00eca1fc99bb · inbound

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering cites this paper.

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 24

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no resolver link, observed 2026-08-15T20:38:09.380251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:09.380251Z digest=sha256:9c94f2feb85b08d0943a7ecaa9525edfab87fc44818acc71aff4c9408db0e173

Observation 839421b2-98c5-49f7-8f1b-da2e0555a278 · inbound

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks cites this paper.

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 32

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no resolver link, observed 2026-08-07T14:58:36.335832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:36.335832Z digest=sha256:6743805b82c74028fa1cfba5410fc881648ba8990979c1176f23d79b73f82c9e

Observation 69df683a-c45e-4a71-a3a2-bb69d6605ed1 · inbound

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning cites this paper.

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:34:53.142856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T13:34:27.152447Z digest=sha256:776611eb155e83a0f139a84b19665795bce57385876b0f2ce16fcabf9b6fe6b4

Observation 367c1c31-137b-4f5f-a3b2-1e57e96c502a · inbound

GPR: Empowering Generation with Graph-Pretrained Retriever cites this paper.

GPR: Empowering Generation with Graph-Pretrained Retriever GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 11

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unresolved
no resolver link, observed 2026-08-07T12:13:00.775082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:13:00.775082Z digest=sha256:c76f35b246ca10bf502fa23b3af64027c5e0a63549e0c1ca3627793c9462c1d7

Observation 2d8a0bb8-88c4-48ff-8d7f-821394629c8f · inbound

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation cites this paper.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 26

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no resolver link, observed 2026-08-07T11:32:56.962723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:56.962723Z digest=sha256:afe4b39a4f444d5985236884643963298f66a6bddc7dc72912399d7560bd74f3

Observation 91cbbd4b-8236-4d96-a6b2-059ea6b7870c · inbound

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning cites this paper.

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 12

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no resolver link, observed 2026-08-07T10:56:39.924377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:56:39.924377Z digest=sha256:034b09e6bbd28521d93800bff58ca214418dd332c0b662327c53c9e448da1944

Observation 05412d9f-646f-473d-9a5c-ebf9022e508a · inbound

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions cites this paper.

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 76

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no resolver link, observed 2026-08-07T10:19:19.354606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:19.354606Z digest=sha256:3c66d4e28720908f40c2fb7dfe7f7b94d427e163c4f75daedd07cba76f832c9d

Observation 393f3ea3-5d3f-4da9-a198-dd0b12bcee5f · inbound

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 36

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no resolver link, observed 2026-08-07T05:40:12.251953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:40:12.251953Z digest=sha256:1e49985998c903238c2ad29ba91823a31aa7b03c332bb3038bd2293b2df8e61d

Observation 6a6b8ed1-b82d-45e4-82a5-f078aa5553cc · inbound

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering cites this paper.

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 44

Resolution
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no resolver link, observed 2026-08-07T04:47:38.174391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:38.174391Z digest=sha256:37d5dacae93b3f85471d5c2937302148bbdb7182b0b9e61e3ec138edbeb6e4c2

Observation bd8678e3-6792-4a54-9a0c-cad9e7b8a454 · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 47

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no resolver link, observed 2026-08-06T22:31:35.320907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:31:35.320907Z digest=sha256:bbb6dbf242f18c756d3e56535bca9dced9e407d52cdfd94713a94fc6cf651ab6

Observation 34747141-de3d-4ffc-8e2b-cbb77a5f0254 · inbound

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering cites this paper.

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 44

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no resolver link, observed 2026-08-06T19:59:56.325912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:59:56.325912Z digest=sha256:ceb431838c3cb71d5137b4ee67c134afc87aa37d24456215c8c0b43a37ecddde

Observation bc371a9b-7cae-4eb7-99c5-8b3541c8075e · inbound

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation cites this paper.

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 42

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no resolver link, observed 2026-08-06T19:23:50.351787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:23:50.351787Z digest=sha256:f1bb3e82de8bd4c70c50e2df0d28f73fe14c88f90a3ee80640ea4e59b6cc00d2

Observation 7c9f7f5a-4b59-4a70-98dc-78d0c93d3b28 · inbound

An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling cites this paper.

An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 6

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no resolver link, observed 2026-08-06T17:16:12.525610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:16:12.525610Z digest=sha256:fbc894d4eb1888a8f4123eb9b077cdc40ef6cce7aab6c9dd5f66e0dd4cccea7c

Observation bcb0de51-c71d-4932-9045-be1c17341dda · inbound

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning cites this paper.

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 12

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no resolver link, observed 2026-08-05T15:29:57.294014Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:57.294014Z digest=sha256:fc444f4eb4698d539c7a1ed1b2f86dcd8d2fc423cb90674c1a971f55d953c22e

Observation 3548fa0e-57c7-48b2-bbdc-64eff1e6bd2e · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 39

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no resolver link, observed 2026-08-05T13:36:39.300942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:39.300942Z digest=sha256:f870a3859e942793f860056c7ac0c6aff9538dfb69384e0ff0c0beb7d0fb04a3

Observation fb29bb6b-2713-4e81-92c8-5f6a14b9720f · inbound

Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs cites this paper.

Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 31

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no resolver link, observed 2026-08-04T19:24:53.036225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:24:53.036225Z digest=sha256:b850c82df33a1c2d23e7537f3b81ce821fca4e9c738829d2d597860ddfeff4d0

Observation a7d6daf8-da3d-468f-94d6-fd34d514f8ac · inbound

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation cites this paper.

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T07:12:27.184697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T07:11:48.249136Z digest=sha256:546b7cb69068dd939a08d066e4f1990f5cc379276d7266ccf9f43ff3df305750

Observation 58315c6b-ca62-46f0-bfdd-863c76697c34 · inbound

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM cites this paper.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 22

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metadata mismatch
arxiv_id, observed 2026-05-18T06:02:25.464742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T06:00:59.224521Z digest=sha256:b6169dca428c8eaf2819415273fb300818cbd491a9292316b1a6528878f478fa

Observation 8260756e-c8a6-452f-a83c-8862551851d8 · inbound

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 23

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metadata mismatch
arxiv_id, observed 2026-05-18T04:55:54.078205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T04:55:03.309430Z digest=sha256:4ab6a8240b9881becae719bdb000cba4e028deafb02ae5a6ad980458cbf54fea

Observation 95720d93-80e0-4ba9-bce0-39f9aa01a73d · inbound

From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI cites this paper.

From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-11T00:35:51.142444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T18:26:16.639817Z digest=sha256:edd4f485ae89200495f49d5b6b4221b8ba011bb062ae9dee28f5a09888ad52bc

Observation 435cfeaa-f1ec-44fc-b250-b9b049dcebbf · inbound

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation cites this paper.

EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 55

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verified exact
arxiv_id, observed 2026-05-10T08:02:25.173925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T07:59:40.497067Z digest=sha256:5fc9de43fa043ac79447f05dab4f60490588d196240c52be3359338974265746

Observation dbf0427d-b691-4417-b870-8536ffd599a5 · inbound

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval cites this paper.

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 49

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metadata mismatch
arxiv_id, observed 2026-05-10T09:13:30.326536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T09:08:48.468564Z digest=sha256:eba8fe990457a27f857cd108bbc94a8c1e523cc0b72c98a02b5c5a4c33925fbe

Observation cd9ee4cc-0906-4307-b9db-037ca38b7267 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 153

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metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.644852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:01a6a2193dad3dd67b2adc5d13fdccaecd274d42ee17c279c81f1b32da3a0693

Observation cfe95f2f-220d-49b4-8a03-cc358248f6a6 · inbound

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking cites this paper.

GEM: Graph-Enhanced Mixture-of-Experts with ReAct Agents for Dialogue State Tracking GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:26:06.373471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T17:36:29.717792Z digest=sha256:d03018c0a95b8e7ba6c1700db39806b45220236994775fac4569810a148f0002

Observation d72b7ec1-f50d-48af-844c-101de8ae9174 · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 175

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:57:17.731094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-13T04:45:34.957298Z digest=sha256:bbfa9329d0135e7ef7182f47c89e2210db06744723694afa6b0d37031776a7d8

Observation f2cece41-2580-4225-8162-ffe21a8b3870 · inbound

DOTRAG: Retrieval-Time Reasoning Along Paths cites this paper.

DOTRAG: Retrieval-Time Reasoning Along Paths GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T09:14:05.800726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T09:11:43.179956Z digest=sha256:50b9c7a22199f86727709c608a1affcb601e6386ceef049b43ea75c414d9bf21

Observation 31953590-6de0-4122-85d4-9962bbdbbc18 · inbound

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning cites this paper.

S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:30:23.092794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T05:27:30.274067Z digest=sha256:fe1e3d331f20f41abf3344366a23d1394406a14309268780cb2d0dfc8f0224fd

Observation 4f54575c-4603-497b-82e4-9d2cb7af14b4 · inbound

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation cites this paper.

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T18:47:17.232887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-02T18:01:48.915707Z digest=sha256:5238344889ab12778f3d6627d730c459ec5772743a79c1f6a385b7b8c18d541d

Observation 194252d6-5f55-4ff0-bca4-c9aec28cf54f · inbound

TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation cites this paper.

TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-12T02:25:06.265447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:25:06.265447Z digest=sha256:32446452393adc96b64b6659cc14e679946356f0198bd050c7cc13baefabb905

Observation 2c463936-ce24-40a4-83d5-9932b2557610 · inbound

NGM-RAG: Neural Graph Matching based Retrieval-Augmented Generation cites this paper.

NGM-RAG: Neural Graph Matching based Retrieval-Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-14T06:36:34.161979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T06:36:34.161979Z digest=sha256:c6c6ed1c6d9b8afa11cd5445ced48c0d699926dea894ca936be267850b5f9727

Observation 6e1f2ad6-f3bf-49f4-bd6f-de0c662cdb01 · inbound

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms cites this paper.

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-01T14:35:29.003896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:35:29.003896Z digest=sha256:8123ee259d1c608063fb5dd2808c80ea47ea049a5fd27601fcfdbcee163330bf

Observation c5a7733e-31d4-4289-b5fe-c4a62d582b69 · inbound

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms cites this paper.

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-03T01:45:02.796376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:45:02.796376Z digest=sha256:cbfdfbb389124b70f1e62ccaab99a222c0d186b8df5976c7f2fd8c8d9ae4a3fa

Observation 5092430a-0654-459f-98ae-fff09430c310 · inbound

KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval cites this paper.

KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-30T11:11:55.663887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:11:55.663887Z digest=sha256:81863f438d3ca8c4bf91909648087f9f46db3c78edca9527e295c7f1713100dd

Observation 7c5d6eb6-38b9-40cd-9dbb-9e5a44033928 · inbound

DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation cites this paper.

DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-31T03:11:54.497710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T03:11:54.497710Z digest=sha256:f0e92534e7531db3a66d877c19a80e4d05ac107b69c6f16fa0605dc432eb881a