Paper Citation Record · LEDGER

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

As of 4 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2604.09666.

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

pith.paper-citation-record.v1
2604.09666 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T22:35:18.954951Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T08:38:01.144528Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-31T12:16:09.833992Z

Reference resolution

47 of 47 outbound references displayed

verified exact30
verified fuzzy3
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce408473-e056-4889-9a23-b835028fc07e · outbound

This paper cites Pathrag: Pruning graph-based re- trieval augmented generation with relational paths.CoRR, abs/2502.14902.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Pathrag: Pruning graph-based re- trieval augmented generation with relational paths.CoRR, abs/2502.14902

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.409854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 956dfaa2-1c46-46a1-9565-75e631d82d02 · outbound

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

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.412324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 747b08b1-a710-43cb-abce-754988501d8d · outbound

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

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.370967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dfbed170-7fb4-46aa-a1db-1a6f8e304f0a · outbound

This paper cites Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.404205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d7f734ed-1e18-4859-8984-038972f79fa4 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.401720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 985e9322-5b03-4f38-a216-afd5b6da7f6f · outbound

This paper cites an unresolved cited work.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:58:24.914352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab97d9d4-41b2-442f-a6b6-a7a239fab845 · outbound

This paper cites HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.399352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b749e419-b103-4f4b-9bee-5e622369f0a6 · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:36:19.859440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76f9b480-afc0-495e-aaec-3a54e4aeefe9 · outbound

This paper cites an unresolved cited work.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:58:24.917783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f50eca5-078f-484a-8569-6582586a18b5 · outbound

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

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:33:40.134243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78e61182-f5b0-40bf-bc14-85fd90ec666f · outbound

This paper cites Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.388769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b5a8fb4a-775d-4a07-9485-b124c6aff8ce · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.386287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3eacbc76-875d-4df7-ac24-333baa2b351a · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:39:58.458269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35e66fc6-1b49-4080-8e2e-d6aeabb9634b · outbound

This paper cites Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.379602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4836db50-9a17-4572-a9dc-54aadf92eff9 · outbound

This paper cites an unresolved cited work.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:58:24.910788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef6972bb-48d1-49cd-af0b-cbb6f871029a · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.407067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24a39b4a-d854-47f3-bf0c-b03eea885f53 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.376601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1fd0812c-daa5-4d67-8336-5083422d4b3b · outbound

This paper cites emnlp-main.495/.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems emnlp-main.495/

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.100367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04449034-4cc9-4ffb-9b43-a75bc08fdacf · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T22:38:22.393824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aa4548ae-e850-4068-81fc-c9207f1df54c · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Dense Passage Retrieval for Open-Domain Question Answering

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:24:42.733368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9091c157-341b-4873-8ece-d197ea2263c8 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 21

Resolution: verified exact; doi, observed 2026-05-13T22:38:22.097101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6dc36248-dda4-4531-91df-bbc74ffa84d5 · outbound

This paper cites an unresolved cited work.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:58:24.906278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e07af79-3ad6-4eec-9530-ced846bb0a28 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.414723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f9df527-88d1-46fa-909e-8acb733c1af9 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.340397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 038cf100-5c98-4230-8a22-3c98083cf378 · outbound

This paper cites Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, and Qiaoyu Tan.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Yuyan Liu, Sirui Ding, Sheng Zhou, Wenqi Fan, and Qiaoyu Tan

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.332864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d36cfe31-d688-4fd3-9621-cede8b50e75f · outbound

This paper cites Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-04T02:06:52.238547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c78a183-441a-4406-9d2a-9a5dc3965de0 · outbound

This paper cites HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation //.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation //

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.338028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e8f5f77-7645-4118-8e02-44a35d615754 · outbound

This paper cites KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.342963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24c86add-c098-44fd-ba85-bf1d49892b25 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:33:08.656299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c424a095-4258-433a-93a0-4d34542e5077 · outbound

This paper cites OpenAI o1 System Card.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems OpenAI o1 System Card

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.327505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3fba57f9-f9e5-434c-a85d-58dd59817a08 · outbound

This paper cites Qwen2.5 Technical Report.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Qwen2.5 Technical Report

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.368201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f66da50-8b16-4418-a2a4-414ec433f790 · outbound

This paper cites RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:07:16.607810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b1cf53b-a378-4433-bd48-8f43b2560a4d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:38:22.358130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a288e271-19fb-4f2f-aac6-26f6ad177236 · outbound

This paper cites an unresolved cited work.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:58:24.920744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49f692ea-ec99-47e9-935b-ab005da40f63 · outbound

This paper cites MuSiQue: Multihop Questions via Single-hop Question Composition.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems MuSiQue: Multihop Questions via Single-hop Question Composition

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.347975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d3d4ebfb-3875-4edd-b3e5-c6e93585c902 · outbound

This paper cites KBLaM: Knowledge Base augmented Language Model.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems KBLaM: Knowledge Base augmented Language Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.350464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d8d9bc2-999a-44bd-b15d-0228d44e7235 · outbound

This paper cites MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.355780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fb74bcf0-bdbe-4f50-9f82-bca875ba3f7f · outbound

This paper cites 2509.22009 , archivePrefix=.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems 2509.22009 , archivePrefix=

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.335482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ee51542-b524-4f3c-b37d-e7b39a978b5a · outbound

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

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T22:38:22.352910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8042f2d6-0873-48ab-9356-0ca6d001c2d9 · outbound

This paper cites an unresolved cited work.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:58:24.926873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67b37521-a5fa-4229-a72e-9e92a8af2e1e · outbound

This paper cites arXiv preprint arXiv:2507.23581 , year=.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems arXiv preprint arXiv:2507.23581 , year=

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.345415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb7c477e-6567-409b-806d-cce55ea06701 · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems RAFT: Adapting Language Model to Domain Specific RAG

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.360816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4caf040b-288f-4ddb-9d46-e8f7c13406c0 · outbound

This paper cites ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.365793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0e50e40-95b7-49c5-93dc-e5937f9b0b40 · outbound

This paper cites Tri-Graph.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Tri-Graph

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.322139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd08d125-e684-47ac-a6c0-eaab1a2176e2 · outbound

This paper cites - Identify factual information that is relevant to the Current Search Query and can aid in the reasoning process for the original question.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems - Identify factual information that is relevant to the Current Search Query and can aid in the reasoning process for the original question

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:58:24.930722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9cfcc225-429b-4f26-b2da-6853c06bcdb4 · outbound

This paper cites -Ensure that the extracted information is accurate and relevant.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems -Ensure that the extracted information is accurate and relevant

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:58:24.934237Z

Source-reported events for the cited work

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Observation 80c8c014-bbf9-4a4f-8855-ef9556679fcc · outbound

This paper cites {search_query}.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems {search_query}

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:58:24.923577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation bea17c10-656f-4bfd-9f3a-38ef5e2b510a · inbound

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

TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

Reference 16

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22673a67-4477-427f-9ddf-8e5ed9120ca8 · inbound

A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility cites this paper.

A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-31T08:41:06.988524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.